Thursday, October 29, 2020

Success Stories of Industrial Engineers





Pradeep Patil
https://www.linkedin.com/in/pradeep-patil-8a78b667/
 
Industrial Engineer with total 8 year of industrial experience
Pune, Maharashtra, India  

Forbes Marshall
Pune Area, India
Industrial Engineer
Jul 2014 – Present (2020)

Expansion of Krohne Marshall factory
 Managed to increase the capacity by 40% for three products line of flow meters.
 Installed 34 Assembly workstations, more than 50 racks, material handling conveyors.
 Layout modification for three products line & raw material store modification.
 Achieved 30% reduction in distance travel & 17% increase in productivity.

Productivity improvement for DCEM
 Detailed time study and method study, layout modification, material storage and WIP racks.
 Process improvement using hand tools, power tools, enhanced 5S and visual management.
 Resulted in 21% productivity improvement.
 Awarded FM Star of the month & appreciated by the division Manager.

Productivity Improvement : Valve Assembly Line-2
 Elemental analysis based on video study conducted using WorkPro.
 Improvement in material handling, layout modification and process improvements.
 20% increase in productivity, 33% reduction in area, material handling time reduced by 27%.

Overall Layout Modification : FM Arca
 Distance travel reduced from 2.5 to 1.6 Km, free space of 230 sq. m. made available, reduction
in transshipments by 16%.


Success Story of Industrial Engineer
24 June 2016
Isaac Mitchell, Director, Lean Continuous Improvement, East Tennessee Children’s Hospital. Bachelor of Science, Industrial Engineering, University of Tennessee
https://iiseblogs.org/2016/06/24/meet-isaac-mitchell/


https://iiseblogs.org/2016/07/08/meet-carl-jake-kirpes/



29 October 2020
25 June 2016

Friday, October 23, 2020

Fixtures for Workstation Design & Fabrication

 

Interesting search results for "workstation two fixtures for two hands"


Various fixtures available are shown in:

https://ergoweb.com/benchtop-fixtures/


Simple, removable

 Pegs fit into holes drilled into bench

These fixtures are simple, cut from polypropylene, and designed so that a clamp is not needed. They have pegs that fit into holes drilled into the workbench, so they’re easy to use and remove depending upon the product being built.






Source: https://ergoweb.com/benchtop-fixtures/

------------------------------------


https://www.flotronicsautomation.com/applications-and-solutions/workstations-and-fixtures


Lego training kits for lean

https://www.velactionstore.com/


Guidelines for workstation design - Gavriel Salvendy Handbook

https://books.google.co.in/books?id=sjY3IZ9Unv0C&pg=PA1359#v=onepage&q&f=false


Page 1284 & 1385 have operation analysis - within operation analysis.












Monday, October 19, 2020

IE - Human Effort Engineering, Mechanization, and Automation - Barnes, Groover, Wysk

Prof. Narayana Rao K.V.S.S.

Machine Utilization Principle of Industrial Engineering - Prof. Ralph Barnes


1. Few people advocate using human labor to do work that can be done better and cheaper by machines.

2. It is suggested that the best manual method and the best combination of manual and machine method (mechanized) be developed and used as a basis for evaluating a proposed automated process.

(Restated as: Compare best manual method, mechanized method and automated method for each element of an operation and choose the best.)

3. If a large-volume fairly complex job is to be considered, a comparison would be of the estimated cost to do each element of each suboperation manually, or in machanized way, or automatically.

Ralph Barnes is the first PhD in Industrial Engineering. He wrote the popular text, Motion and Time Study.

In his book. Prof. Barnes clearly stated that process-operation improvement for productivity increase has to consider doing an element of sub-operation of an operation in the process using various combinations of human effort, machine effort, and automated system effort. The best combination that provides highest productivity and lowest cost is to be selected.

Barnes was clear that his book focused only on human effort. It is a book on motion study. He stated that motion and time study is only part of industrial engineering. Industrial engineering in the productivity improvement domain itself has many more tasks. Improving the machine effort and automatic systems effort is clearly evident. All industrial engineers know that the flow process chart representation of the process depicts processing operation, inspection operation, transport operation, temporary delays and storage. Temporary delays are planning and control problems. Storage activity falls into a different area altogether.

In the discipline of industrial engineering, pioneers, Taylor and Gilbreth, identified the role of machine and man in engineering work, especially the production or construction work. Taylor developed the subject in both areas. But Gilbreth's focus was to a large extent on human effort. It is to be noted that  Gilbreth developed number mechanical support devices for construction workers. It is Gilbreth who gave us the process chart and identified many activities to be depicted in the process chart. The subsequent modifications gave us the five step charts.

Maynard and Barnes are second generation industrial engineers following the first generation pioneers Taylor, Gilbreth, Emerson, Gantt etc.

We may see third generation industrial engineering contributors in Groover, Wysk, Sumanth etc.

The contributions of Groover and Wysk are in the area of mechanization and automation. Industrial engineering discipline has not integrated the contribution of Groover and Wysk and many more industrial engineering researchers in the areas of mechanization and automation appropriately into the curriculum and body of knowledge. The discipline has even recognized adequately that industrial engineering is applicable to all branches of engineering. The contribution of Groover and Wysk is in the area of manufacturing that too, it may be predominantly in machining.

Principles of Industrial Engineering (Narayana Rao, 2017, IISE) clearly bring out the role of machines and automation in industrial engineering and also point out the role of human effort in engineering systems and hence their importance in industrial engineering which is primarily focus on improving engineering systems over their life cycle.

Prof. Mikell Groover, Professor of Industrial Engineering, Lehigh University

Groover presented relevant content for improving processing, inspection, transport, and storage in his book "Automation, Production Systems and Computer Integrated Manufacturing."

Automation, Production Systems, and Computer-Integrated Manufacturing - Groover - Book Information


Prof. Richard A. Wysk

Wysk has also written number of books and authored number of paper in the area of manufacturing. But it is interesting to highlight his focus on lean manufacturing which is basically eliminating temporary delays in the process.

Improving Production with Lean Thinking

Javier Santos, Richard A. Wysk, Jose M. Torres

https://books.google.co.in/books/about/Improving_Production_with_Lean_Thinking.html?id=hiPPBwAAQBAJ


(C) Narayana Rao K.V.S.S. Narayana Rao 2020

4 October 2020



Richard Wysk

https://scholar.google.com/citations?user=6OIxzqMAAAAJ&hl=en

https://www.researchgate.net/profile/Richard_Wysk


Modern Manufacturing Process Engineering

Benjamin W. Niebel, Alan B. Draper, Richard A. Wysk

McGraw-Hill, 1989 - Technology & Engineering - 986 pages

https://books.google.co.in/books/about/Modern_Manufacturing_Process_Engineering.html?id=POpTAAAAMAAJ


Computer-aided Manufacturing

Tien-Chien Chang, Richard A. Wysk, Hsu-Pin Wang

Prentice Hall, 1991 - Technology & Engineering - 674 pages

An in-depth introduction to CIM and flexible or programmable manufacturing systems from product design to manufacturing control.

https://books.google.co.in/books/about/Computer_aided_Manufacturing.html?id=9exTAAAAMAAJ

Computer-aided Manufacturing

Tien-Chien Chang, Richard A. Wysk, Hsu-Pin Wang

Pearson Prentice Hall, 2006 - Technology & Engineering - 670 pages

Using a strong science-based and analytical approach, this book provides a modern description of CAM from an engineering perspective to include design specification, process engineering, and production. The Third Edition of Computer Integrated Manufacturing includes new material on CAD drafting, 3D CAD, surface modeling, solid modeling, feature-based modeling, variational and parametric modeling, tools for PLC logic design, and kinematics of NC machines. New chapters include “Geometric Tolerancing,” “Geometric Modeling,” “Statistical-Based Process Engineering,” “Fundamentals of Industrial Control,” and “Rapid Prototyping.” A valuable resource for any professional who needs to stay ahead of the latest issues and technology related to computer-aided design and manufacturing

https://books.google.co.in/books/about/Computer_aided_Manufacturing.html?id=DAJUAAAAMAAJ

Consideration of Human Operators in Designing Manufacturing Systems

By Namhun Kim and Richard A. Wysk

Published: May 16th 2012

https://www.intechopen.com/books/manufacturing-system/consideration-of-human-operators-in-designing-manufacturing-systems


Improving Production with Lean Thinking

Javier Santos, Richard A. Wysk, Jose M. Torres

John Wiley & Sons, 24-Mar-2015 - Technology & Engineering - 264 pages

This book encompasses the science and analytical background for improving manufacturing, control, and design. It covers specific methodologies and tools for:

* Material flow and facilities layout, including a six step layout design process

* The design of cellular layouts

* Analyzing and improving equipment efficiency, including Poka-Yoke, motion study, maintenance, SMED, and more

* Working conditions improvements, including 5S implementation

It has real-life case studies of successful European and American approaches to lean manufacturing,  It bridges the gap between production/manufacturing and supply chain techniques and provides a detailed roadmap to improved factory performance.

https://books.google.co.in/books/about/Improving_Production_with_Lean_Thinking.html?id=hiPPBwAAQBAJ


Courses on Mechanization and Automation 

COURSE: MECHANIZATION AND AUTOMATIZATION OF POSTAL SERVICES


Course title Mechanization and Automatization of Postal Services

Level of course Bachelor

Year of study 1

Semester Winter


Lecturer(s)

Švadlenka Libor, doc. Ing. Ph.D.

Course content

Mechanization and Automation of Technological Processes. Development of Mechanization and Automation in the Postal Services. Small and Medium Mechanization of the Postal Services I. Small and Medium Mechanization of the Postal Services II. Machine Processing of Letter Post I. Machine Processing of Letter Post II. Mechanized Processing of Packages I. Mechanized Processing of Packages II. Systems Providing Internal Transportation Packages in Sorting Centers. Automatic Identification Technology in the Postal Sector. The Informatization of Processes in the Field of Postal Services and the Provision of Electronic Services.


Learning activities and teaching methods

Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Monitoring

unspecified - 25 hours per semester

unspecified - 30 hours per semester

unspecified - 16 hours per semester

Individual project - 20 hours per semester

unspecified - 10 hours per semester

unspecified - 20 hours per semester

Learning outcomes

Inform the students with principles of mechanization and automatization of postal services.

After graduation this subject the student has complex summary about mechanical and automation instruments needing for security efficient process of providing postal services. The student is able to orientate in offer available instruments of little and middle mechanization with their function and construction, understand technology of process mechanical treatment of correspondence and mechanized treatment of packets, informatization processes and electronic services for postal traffic, electronic services providing postal operators. The student understands mathematics-physical fundamental of mechanical-automation processes necessary for treatment of postal packets.

Prerequisites

It supposed elementary knowledge secondary mathematic operation, rules and functions, elementary quantity of statistic, kinematic and dynamic.


Assessment methods and criteria

Oral examination, Written examination, Home assignment evaluation


The student must in course of semester and by final exam demonstrate sufficient knowledge of mechanical and automation instruments and principles needing for efficient postal traffic and understand processes of technological processing postal packets, the student must be able solution this problematic in praxis. The tutor will notify the concrete requirements to the students within the first week of the term.

Recommended literature

BENADIKOVÁ, A., MADA, Š., WEINLICH, S. Čárové kódy - automatická identifikace. Praha: Grada, 1994.

KAJÁNEK, B.; HAZLINGER, E. Mechanizácia a automatizácia pošty a PNS. Časť 1.. Bratislava: Alfa, 1987.

PARÝZEK, J., ŠVENKA, J. Vybrané kapitoly z mechanizácie a automatizácie pošty a PNS. Bratislava: Alfa, 1981.

Švadlenka, Libor. Technika a technologie zpracování poštovních zásilek. Pardubice: Univerzita Pardubice, 2013. ISBN 978-80-7395-727-8.

https://portal.upce.cz/ects/predmet/KDMML/PMVPK?lang=en&rocnik=1&statut=A


Mechanization and Automation in Manufacturing 

By David -May 25, 2018

Mechanization is a process of reducing the human efforts in manufacturing. In modern-day manufacturing, the mechanization is of great importance as it can provide greater production in lowest possible time and at a lower cost. If some element of a manufacturing process is done by machinery instead by human effort in an operation,  then it can be called mechanization.

https://leanmanufacturingsecrets.com/mechanization-and-automation-in-manufacturing/


Mechanization and automation of production processes

https://eng.mentorbizlist.com/4205327-mechanization-and-automation-of-production-processes


Mechanisation, Automation and Handling

FSI-HME-K Acad. year: 2019/2020 Summer semester


The course introduces students to basic types of mechanization, handling and automation components and their theory and their utilization in industrial applications of manufacturing systems for forming, machining, welding, foundry and unconventional technologies is explained. The theory focuses on all kinds of transport systems, cranes, carts and all types of containers, feeders, conveyors, orientators and other peripherals used in automated systems. Furthermore, flexible production systems, automated production lines, integrated production systems, including the analysis of robots and manipulators, are discussed, including computer technology support.

DEPARTMENT: Institute of Manufacturing Technology


LEARNING OUTCOMES OF THE COURSE UNIT


Student will acquire necessary knowledge with regard to the working of classical manufacturing systems, mechanization and automation and handling systems and application of this knowledge to NC and CNC machines, robots and manipulators used at all levels of the engineering enterprise. The acquired knowledge can be applied by the students in both structural and technological departments, even in designing their own proposals of manufacturing productions. The course will be supported by the computer aided technology, which the students will become acquainted with.

PREREQUISITES: Basic knowledge of producing mechanization, handling and basic information about machines and equipment in manufacturing technology (mainly in forming, machining and welding technologies).

AIMS: The main aim is understanding of the work of various mechanization and automation systems and explains their principles. This is based on the recognition of the most primitive classical methods to higher levels of automation.

Programme M2I-K: Mechanical Engineering, Master's

branch M-STG: Manufacturing Technology, 5 credits, compulsory

Programme M2I-K: Mechanical Engineering, Master's

branch M-STM: Manufacturing Technology and Management in Industry, 5 credits, compulsory


SYLLABUS


1. Introduction to the software for the evaluation of automation processes

2. Introduction, shape division of components, classification, mechanization and automation equipment

3. Logic, logical circuits, detecting elements and sensors

4. Numerical control systems NC-CNC-DNC-HNC

5. Objects and solutions of mechanization, automation and manipulation in the field of metal forming technology

6. Objects and solutions of mechanization, automation and manipulation in the field of machining technologies,

welding, casting and cutting

7. Solution of mechanization and automation problems in packaging, brazing, soldering, main principles

8. NC and CNC machines and its application in different technologies, principles

9. Production centers, automated production lines and transport systems

10. Materials handling means, cranes, low- and high- lift trucks, transport and handling systems

11. Industrial robots and manipulators – principles, structure, controlling

12. Conditions for using the industrial robots at production systems, heads, robot equipment

13. Automation production systems and complex handling

https://www.fme.vutbr.cz/en/studenti/predmety/215335


Mechanisation and Automation 

Course syllabus MEAT03_6B 

(MTF - WS 2018/2019)

     Information sheet          ECTS          Syllabus          

     Slovak          English          

University: Slovak University of Technology in Bratislava

Faculty: Faculty of Materials Science and Technology in Trnava


lecture 2 hours weekly / 26 hours per semester of study 

laboratory/construction practice 2 hours weekly / 26 hours per semester of study (on-site method) 

Recommended semester/trimester: Production Devices and Systems - bachelor (compulsory), 5. semester

Production Devices and Systems - bachelor (compulsory), 5. semester

 

Learning outcomes of the course unit:

In the course are summarized basic knowledge from the fields of mechanization and automation in machine productions, and the relationships between automation and production. One part of the lectures is dedicated to the hydraulic and pneumatic systems as well as to the automatic control of the dimensions. The next parts of the lectures are dedicated to the programming of the machining tools and additive devices as well as to the adaptive, optimization and geometric management. Finally the last part of the lectures is dedicated to elements of the pneumatic and eletropneumatic systems and their possibilities of use in the fields of mechanization and automation. During the semester, students can take part in field excursions. 

Course contents:

Introduction to problematic issues of mechanization and automation in technological machining processes, objectives of automation and rationalization.

Principles and means of automation and mechanization .

Way to manage machining production systems. General management terms .

Way to manage machining production systems. Copy, geometric and adaptive controll.

Way to manage machining production systems. Digital controll.

Automatic control resources .

Control Mechanisms of automation and mechanization systems. Solid mechanisms (mechanical, hydraulic and electrical ) .

Control Mechanisms of automation and mechanization systems. Fluid and electric mechanisms (hydraulic, pneumatic, electric).

Manipulation and lifting equipment .

Equipment manipulation with stock.

Latching mechanisms and conveyors.

Use of compressed air in automation and mechanization, production, purification and distribution of compressed air.

 

Recommended or required reading:

Basic:

JAVOROVÁ, A. -- MATÚŠOVÁ, M. Mechanizácia a automatizácia: Návody na cvičenia. Trnava : AlumniPress, 2007. 174 p. ISBN 978-80-8096-001-8.

VELÍŠEK, K. -- KOŠŤÁL, P. Mechanizácia a automatizácia. Bratislava : Vydavateľstvo STU v Bratislave, 2007. 187 p. ISBN 978-80-227-2753-2.

JEFIMENKOV, V. -- PLEVA, J. Efektivnost komplexní mechanizace a automatizace. Praha : SNTL, 1987. 106 p.

ANNINSKIJ, B. -- BORSKÝ, J. Komplexní mechanizace ve strojírenských závodech: Pracné a těžké práce. Praha : SNTL, 1962. 405 p.

RUŽIČKA, K. Laboratórne cvičenia z mechanizácie a automatizácie výrobných strojov. Bratislava : SVŠT v Bratislave, 1985. 156 p.

CHVÁLA, B. Mechanizace a automatizace obráběcích strojů. Praha : SNTL, 1970. 310 p.

https://is.stuba.sk/katalog/syllabus.pl?predmet=327085












Saturday, October 17, 2020

Computer Integrated Manufacturing to Smart Factory - IIOT Integrated Manufacturing - Supply Chain System

 

High Productivity Through Smart Factories - Industry 4.0 - Bulletin Board


Industrial engineers have to learn each new technology that is coming into use, especially in the organizations they are working. Specialization is possible and IEs may choose technologies they want to specialize in within the technologies that are being adopted by their organization.


Industrial Engineering 4.0 - IE in the Era of Industry 4.0

19 Jan 2018

_______________

https://www.youtube.com/watch?v=r8koC1EWHAk


_______________



Applied Industrial Engineering Implementation Steps - Industrial Engineering 4.0 Context

27 Sep 2018

___________________

https://www.youtube.com/watch?v=nBD7VdJBgsM


___________________

Industrial Engineering 4.0 - Implementation Process Steps - Conference Paper

28 Sep 2018

____________________

https://www.youtube.com/watch?v=QFM2rhjZpAI



_____________________


What is Computer Integrated Manufacturing (CIM)? Answer by Prof. Groover

Computer-integrated manufacturing (CIM) is the integration of factory operations with engineering design and the business functions of the firm. CIM involves extensive use of computer applications, computer data bases, and computer networking throughout the enterprise.

(In section 1.5.2 Ten Strategies for Automation and Production Systems. p.18-19, Automation, Production Systems, and Computer Integrated Manufacturing. 2 edition, 2002)

Computer Integrated Manufacturing to Smart Factory - IIOT Integrated Manufacturing - Supply Chain System - Notes


Industrial Engineering 4.0 - IoT - CIM



Automation in Manufacturing - The Role - Industrial Engineering 4.0 - IoT - CIM

Industrial Automation - Elements - Industrial Engineering 4.0 - IoT CIM 

----------------

SMART MANUFACTURING – OPPORTUNITIES FOR INDUSTRIAL & SYSTEMS ENGINEERS
By Thorsten Wuest, assistant professor and J. Wayne & Kathy Richards Faculty Fellow, Industrial and Management Systems Engineering at West Virginia University


Infographic – The role of modern and integrated manufacturing execution systems in medical device and diagnostics
By Sergio Bellisario • July 28, 2020 •


Computer Integrated Manufacturing (CIM) - Swayam Course

COURSE LAYOUT

Week 1 : Introduction to Computer Integrated Manufacturing (CIM)

Week 2 : Computer Aided Design

Week 3 : Computer Aided Manufacturing

Week 4 : Computer Numerical Control

Week 5 : Computer Aided Process Planning (CAPP)

Week 6 : CIM interfaces: CAD vs CAM

Week 7 : Data and information in CIM

Week 8 : Manufacturing Systems and their design

Week 9 : Simulation of Manufacturing Systems

Week 10 : Computer AidedMaintenance

Week 11 : Computer Integrated Additive Manufacturing

Week 12 : Advanced CIM techniques

BOOKS AND REFERENCES

1. Chang, T.C. and Wysk, R.A., 1997. Computer-aided manufacturing. Prentice Hall PTR.

2. Xu, X., 2009. Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control. Information Science Reference.

3. Groover, M.P., 2007. Automation, production systems, and computer-integrated manufacturing. Prentice Hall Press.

4. Weatherall, A., 2013. Computer integrated manufacturing: from fundamentals to implementation. Butterworth-Heinemann..

https://onlinecourses.nptel.ac.in/noc20_me44/preview


Bachelor of Technology In Mechanical Engineering (Computer Integrated Manufacturing) (BTME) Course Home Page -IGNOU

Four year course - full curriculum is available under various years

http://www.egyankosh.ac.in/handle/123456789/26179

BME 005 CIM Introduction First Year

http://egyankosh.ac.in/handle/123456789/26632


Unit 2:  http://egyankosh.ac.in/handle/123456789/27088  - Automated inspection system.

Unit 3: http://egyankosh.ac.in/handle/123456789/27090  - Automated material handling

Unit 4: http://egyankosh.ac.in/handle/123456789/27093 - AS/RS

Manufacturing Facilities

http://www.egyankosh.ac.in/handle/123456789/31349

Unit 5: http://www.egyankosh.ac.in/handle/123456789/27096  CNC Machines

Unit 6: http://www.egyankosh.ac.in/handle/123456789/27098  FMS

Unit 7: http://www.egyankosh.ac.in/handle/123456789/27103  Cellular Manufacturing


Unit 8: http://egyankosh.ac.in/handle/123456789/27104 Operational Aspects of CIM

Simulation is a modelling and analysis tool widely used for the purpose of designing, planning, and control of manufacturing system. 

Unit 9: http://egyankosh.ac.in/handle/123456789/27107  Computer Aided Process Planning


Unit 11: http://www.ignou.ac.in/upload/Unit-11-55  Simulation

Units 12 & 13 http://www.egyankosh.ac.in/handle/123456789/26574



BME 012

http://www.egyankosh.ac.in/handle/123456789/31400

BME 022

http://www.egyankosh.ac.in/handle/123456789/31462


Unit 10 pdf

http://egyankosh.ac.in/handle/123456789/27109

Block 3

http://egyankosh.ac.in/handle/123456789/26677


ADCIM

http://rcdelhi1.ignou.ac.in/programmes/detail/373/2

DCIM

http://rcdelhi1.ignou.ac.in/programmes/detail/374/2

https://ignoutv.in/ignou-dcim-syllabus/

CAD CAM Swayan - Ignou

https://onlinecourses.swayam2.ac.in/nou20_cs15/preview



Note & Slides

http://www.fkm.utm.my/~jinhoe/



Computer Aided-Design

https://www.engr.uvic.ca/~mech410/old/index.html


CIM at Oakland University - ISE Department

ISE 6684 - Computer-Integrated Manufacturing Systems

(4 credits)


The integration of the computer in the manufacturing process from concept, through engineering design, production planning, materials handling and process quality and inventory management. The course will utilize simulation and laboratory to study parts and information flow in a computer-integrated manufacturing facility with fixed and flexible automation.Offered fall.

http://catalog.oakland.edu/preview_course_nopop.php?catoid=47&coid=103682

Tuesday, Mar 06, 2018

ISE’s Industrial Automation Systems class gets inside look at IDS 

https://oakland.edu/secs/news/2018/ise-departments-industrial-automation-systems-class-gets-inside-look-at-ids

SYS 563 - Foundation of Computer-Aided Design

(4 credits)

Computer-aided design as the cornerstone of computer integrated manufacturing. Presentation and exploration of “generic” CAD architecture. Mathematical representations of CAD primitives, surfaces and solids and manipulation. Comparison of wire-frame, surface, 2-1/2 D and solid models. IGES, STEP, CALS and DXF standards. Description of “featurebased CAD” and the CAD manufacturing link.

http://catalog.oakland.edu/preview_course_nopop.php?catoid=18&coid=22696

Oakland University works with R&E Automated Systems and Siemens to enhance Computer-Integrated Manufacturing Lab

OU's S. & R. Sharf Computer-Integrated Manufacturing Laboratory's conveyor system has been updated with Siemens controls technology.

By Brian Bierley, Community Contributor

Dec 16, 2014

https://patch.com/michigan/rochester/oakland-university-works-re-automated-systems-and-siemens-enhance-computer-integrated-manufacturing



CIM - Articles & Google Books

Computer-integrated Manufacturing: Automation in Manufacturing

Author(s): R. Panneerselvam | P. Senthilkumar | P. Sivasankaran

Edition: 1st, © Year : 2020,  Pages: 485, Price: 499

https://www.cengage.co.in/category/higher-education/engineering-computer-science/mechanical-engineering/manufacturing/computer-integrated-manufacturing-automation-in-manufacturing-an


Highlights of the Computer Integrated Manufacturing Industry market report:


Major contenders in the Computer Integrated Manufacturing Industry market are 

Dassault Systemes

Autodesk

Siemens and PTC

.

Data regarding production patterns, market remuneration, comprehensive company profile, and manufactured products is documented.

Market share of every organization along with their gross margins and price patterns is also provided.

Based on the product type, the Computer Integrated Manufacturing Industry market is split into 

CAD

CAM and CAM

https://www.express-journal.com/computer-integrated-manufacturing-industry-market-159298/


2017
http://www.bath.ac.uk/catalogues/2017-2018/me/ME30042.html  syllabus

2016

Groover

https://www.google.co.in/books/edition/Automation_Production_Systems_and_Comput/DREwDwAAQBAJ

Automated production systems chapters are important.


2014

https://www.google.co.in/books/edition/CIM_Handbook/8UGeBQAAQBAJ


2013

Computer Integrated Manufacturing

A Total Company Competitive Strategy

By ALAN WEATHERALL · 2013

https://www.google.co.in/books/edition/Computer_Integrated_Manufacturing/e3AvBQAAQBAJ



2008

https://books.google.co.in/books?id=GlL0TO6n320C


https://books.google.co.in/books?id=rWC2btukJzgC&printsec=frontcover#v=onepage&q&f=false



2000

CIM Justification and Optimisation


Sev V Nagalingam

CRC Press, 2000 - 168 pages

Computer Integrated Manufacturing (CIM) optimisation presents a guided approach to the achievements of strategic objectives within a unified framework. This book enables investment in CIM and AMT (Advanced Manufacturing Technologies) to be considered in an effective and comprehensive manner, by setting out a methodology for the estimation of synergy amongst the constituent components of CIM.

Key Features:

* High level decision makers and manufacturing managers, researchers and postgraduates in manufacturing engineering will find this an invaluable guide

* The only book on the subject that covers both CIM justification AND optimisation

* Illustrates the mechanisms of CIM by comprehensively analysing the specific requirement

Good book - Preview

https://books.google.co.in/books?id=A2dfCHnXx_4C


1998

Computer Integrated Manufacturing:Challenges and Barriers to Implementation

the Technology Interface / Winter98

by Linda Ann Riley & Leon Cox

Department of Industrial Engineering

New Mexico State University

http://tiij.org/issues/issues/winter98/manufacturing/riley/riley.html


1996


Automation in Manufacturing - Fifth Generation Management

https://books.google.co.in/books?id=1Ez5mLK138cC&pg=PA176#v=onepage&q&f=false


1994/016/

https://www.google.co.in/books/edition/Computer_Integrated_Manufacturing_CIM_in/CwghBQAAQBAJ

MIT SMR MAGAZINE SUMMER 1993

Integrated Manufacturing: Redesign the Organization before Implementing Flexible Technology

P. Robert Duimering, Frank Safayeni and Lyn Purdy

July 15, 1993

https://sloanreview.mit.edu/article/integrated-manufacturing-redesign-the-organization-before-implementing-flexible-technology/

Computer Aided Manufacturing

T. K. Kundra

Tata McGraw-Hill Education, 1993 - CAD/CAM systems - 417 pages

With design of products changing frequently, and functional requirements becoming more demanding, batch production of high precision components has become a necessity. The advent of NC and CNC has enabled automation of batch manufacturing supported by computerisation of manufacturing systems. The book is a complete reference consisting of several technologies associated with modern automated manufacturing.

https://books.google.co.in/books?id=kgkEDj5TRh8C


1992

Human Aspects in Computer Integrated Manufacturing

Proceedings of the IFIP TC5/WG 5.3 Eight International PROLAMAT Conference, Man in CIM, Tokyo, Japan, 24-26 June 1992

https://www.google.co.in/books/edition/Human_Aspects_in_Computer_Integrated_Man/slEvBQAAQBAJ

Keep faith in CIM now

https://books.google.co.in/books?id=vAoAAAAAMBAJ&pg=PA26#v=onepage&q&f=false


JOURNAL OF BUSINESS AND PSYCHOLOGY

Volume 6, No. 4, Summer 1992

MANAGING COMPUTER INTEGRATED MANUFACTURING (CIM): A REVIEW OF
THEMES, ISSUES, AND PRACTICES

Thomas J. Kramerm, John T. Chibnall, & Barry D. Pedersen

St. Louis University

CIM Implementation Case Study Described: Monsanto Chemical Company's Greenwood plant,  South Carolina

Very good article



1991


Thesis

Computer integrated manufacturing (CIM) and the principle of business control

Robin A.G. Twose

Mechanical Engineering & Design

Doctoral Thesis

https://research.aston.ac.uk/en/studentTheses/computer-integrated-manufacturing-cim-and-the-principle-of-busine



1988

Contributors

W. Dale Compton, Editor

Description

Design and Analysis of Integrated Manufacturing Systems is a fresh look at manufacturing from a systems point of view. This collection of papers from a symposium sponsored by the National Academy of Engineering explores the need for new technologies, the more effective use of new tools of analysis, and the improved integration of all elements of manufacturing operations, including machines, information, and humans. It is one of the few volumes to include detailed proposals for research that match the needs of industry.

NAP

https://www.nap.edu/catalog/1100/design-and-analysis-of-integrated-manufacturing-systems


CIM – Mechanical Aspects: State of the Art Report

Gareth Evans

Elsevier, 22-Oct-2013 - Technology & Engineering - 348 pages

CIM - Mechanical Aspects: State of the Art Report contains different points of view about computer-integrated manufacturing (CIM). This report is organized into three parts: invited papers, analysis, and bibliography. The invited papers part examines various mechanical aspects of CIM. The analysis part assesses the major advances and provides a balanced analysis of the state of the art in CIM. Bibliography compiles the most important published material on the subject of mechanical aspects of CIM.

https://books.google.co.in/books?id=r7cgBQAAQBAJ&printsec=frontcover#v=onepage&q&f=false

-------------------------


Journals

International Journal of Computer Integrated Manufacturing

2019 Impact Factor: 2.861

Publishes on computer integrated manufacturing, such as theory and applications of mechanical, manufacturing, software and computer engineering.

https://www.tandfonline.com/toc/tcim20/current

Components of CIM


CAD/CAM Software


2020



MES

Manufacturing Execution Systems


https://www.google.co.in/search?q=Manufacturing+Execution+Systems&hl=en&tbm=bks
2019






Revised 17 October 2020 - Notes - First chapter added
First published on 11 September 2020














Thursday, October 15, 2020

Productivity Software Engineering - Productivity Smart Engineering


Lesson 114 . Productivity VR Engineering: Redesigning products and processes using VR to improve productivity.

Redesigning products or processes by including software solutions, or developing software solutions to improve productivity in any activity or process.

Illustration

https://www.threadsol.com/
We Guarantee Profit. Make Money. Everyday.

ThreadSol is a software solution for garment manufactures

ThreadSol Helped A Suit Manufacturer Achieve

Profit increase of   $  3,000,000 through

Reduced Effort by  20 % and

Reduced Wastage of Material by 40 %



ThreadSol was founded in 2013 with the vision to be the largest technology company in the apparel domain worldwide. The first company to bring technology like Big Data, Artificial Intelligence and Mobility to the Global Apparel Industry.

Headquartered in Singapore, ThreadSol is present in 15 countries and works with the largest and the best apparel brands and manufactures around the globe.

With its innovative solutions, ThreadSol saves upto 10% cost for manufacturers and brands.




-----------------------

Related Posts





Updated on 15.10.2020
19 September 2017

Sunday, October 11, 2020

Manufacturing Execution System Software

 

https://www.matrikonopc.com/products/opc-archiving/opc-desktop-historian.aspx


MES and Historians in the Digital Spotlight

Plant floor stalwarts for decades, historians and manufacturing execution systems are gaining new attention along with hot trends in digital and manufacturing intelligence. Staying competitive will require extending the MES across operations.


Lauren Gibbons Paul

Apr 5th, 2018

https://www.automationworld.com/products/data/article/13318551/mes-and-historians-in-the-digital-spotlight


https://www.dmcinfo.com/services/manufacturing-automation-and-intelligence/manufacturing-execution-systems-services/mes-historian-implementation

Investigating multiple events in sequence -guidelines

http://www.ludwigbenner.org/STEP-MES_Guides-wf/Guide00.html


US8491839B2

United States

Manufacturing execution systems (MES)

Abstract

Manufacturing execution systems (MES) are disclosed herein. The MES and methods described herein provide an ability to control and monitor manufacturing processes (for example, chemical and pharmaceutical) and can ensure data and product integrity and ultimately minimize overall manufacturing cost.


Classification: G05B19/41875 Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production


2013-07-23

Publication of US8491839B2

2013-07-23

Application granted

Status

Active

2026-03-05

Adjusted expiration

https://patents.google.com/patent/US8491839B2/en




Uniformance Process History Database (PHD)

Advanced Software Uniformance - Software for Process History and Analytics

https://www.honeywellprocess.com/en-US/explore/products/advanced-applications/uniformance/Pages/uniformance-phd.aspx

1997

https://www.mmsonline.com/articles/the-shop-with-a-nervous-system

Edinn


https://www.youtube.com/watch?v=2Js9sj38TJc


https://edinn.com/modulos-3/


Critical Manufacturing - MES & IIoT

https://www.youtube.com/watch?v=PLntjUFMLk8

____________


____________


https://glassfactory.wordpress.com/2012/05/22/make-mes-a-success/


https://glassfactory.wordpress.com/tag/ewi/


https://www.facebook.com/409126109135241/posts/by-taking-an-operations-based-approach-to-manufacturing-execution-systems-new-is/2888631777851316/


https://medium.com/@ISAAutomation/managing-continuous-improvement-in-manufacturing-5b9fadd2cf73


5 september 2020

Monday, October 5, 2020

Computer Assisted Process Charts Analysis for Industrial Engineering

 


Process mining softwares have arrived. Industrial engineers can migrate their process charts to this software and team up with software developers to develop process charts analysis procedure taking the assistance of software to locate improvement related data.


The operation process chart has two operations in it. Processing and inspection.

Flow process charts has five operations in it. Processing,  inspection, transport, temporary delays and storage.


Automation and CIM book by Groover has content in all the five operations. Because all five have computer assisted equipment, the data required by industrial engineers can be recorded by the process analysis software and AI can be used to analyze it.

https://www.celonis.com/

https://aimultiple.com/process-mining-software

https://thedigitalprojectmanager.com/flowchart-software/


https://www.tf-pm.org/resources/casestudy/process-mining-at-samsung-electro-mechanics

https://lanalabs.com/en/how-does-process-mining-work-part-ii/

https://www.minit.io/blog/3-ways-process-mining-helps-reduce-manufacturing-costs

Process mining book https://fluxicon.com/book/read/positioning/

https://www.researchgate.net/publication/271910986_Process_Mining_for_Manufacturing_Process_Analysis_A_case_Study

Search MES "process mining"



(C) Narayana Rao K.V.S.S. 2020


First published on 5 October 2020






Productivity Improvement Project News of Top Global Companies - 2020 Collection

Content of Process Industrial Engineering ONLINE Course Module

Industrial Engineering Case Studies - Industrial Engineering ONLINE Course

Industrial Engineering ONLINE Course

Productivity Improvement Project News - Knowledge Bank

Some of the companies have offered productivity enhancing products and solutions to other companies apart from implementing them in their own organizations where applicable.

ArcelorMittal

2019 News

The Lean Six Sigma methodology has been chosen in 2013 as a tool to stimulate the continuous improvement culture within our organization. Lean is mainly identification and elimination of existing waste, while the Six Sigma provides the company with the tools to eliminate irregularities, deviations and unnecessary activities in the process. Both methods increase productivity, they increase the quality of work and the satisfaction our Clients and employees.

Implementation of this program allows to transform our organization to highly productive process oriented Service Center in which each employee is actively contributing to continuous improvement initiatives.

https://bcoe.arcelormittal.com/blog/post/leansix-sigma-white-belt

Vaibhav Singla


Bajaj Auto

Productivity improvement in BAJAJ Auto Using co-bots of Universal Robotics

Bajaj Auto, India’s motorcycle maker, has teamed up with Danish company, Universal Robots (UR) to drive operational efficiencies across the Chakan (Pune), Waluj (Aurangabad) and Pantnagar (Uttarakhand) plants. 

The  company has installed close to 120  collaborative robots or co-bots by Universal Robots, across its three plants. These co-bots are deployed to perform tasks such as deburring, decal applications, vision applications, machine tending, welding, sealant applications and bolt tightening, among others. 

The co-bots, with their 3kg to 10kg payload capabilities, are suitable for two-wheeler manufacturing operations and their component suppliers.to handle the small and medium size and weight of the assembly parts. Bajaj Auto was a visionary in terms of realizing the utility of our co-bots on their shopfloor operations to enhance and drive their productivity and it was  the first automotive company to implement the concept of collaborative robots on their assembly lines in India.  


In  2010 Bajaj Auto had first contacted Universal Robots for for multi-modelling production automation in  welding, painting, assembly and skilled operations like fettling, decal and others. A two-wheeler assembly line has a typical pitch dimension of one metre and therefore  compact and lightweight robots are to be used. First,  30 co-bots were purchased to study their impact in terms of productivity and output. 

Later, Bajaj Auto,  ordered more co-bots in knocked down form and  assembled them at its Akurdi facility starting from November 2011. This helped in bringing  down the costs of these industrial robotic arms (including the software and hardware setup) by 35-40 percent. The 3kg to 10kg payload co-bots ranged  between Rs 12 lakh to 20 lakh per unit including their entire setup. 

Productivity Benefit

Overall automation including UR’s co-bots, helped Bajaj Auto over the past year  to increase production from 507 vehicles per person per year (V/P/Y) to 804 vehicles per person per year, which is a 58.5 percent increase YoY.  All UR co-bots that Bajaj Auto assembles and has installed so far are of 5kg payload category. The company (BAL) has also given access to these co-bots to some of its key suppliers to improve the processes at the suppliers end too. 

Vireshwar Yadav


Bayer


Industry 4.0 and Corn Production at Bayer Crop Science: 

Using modern techniques in production of hybrid corn varieties and in Quality Testing

https://assets.website-files.com/5d96e7b65ff132ce725a9314/5d96e7b65ff13286635a98f0_Anu%20Raman%20Bayer.pdf


What Does the Internet of Farming Look Like in Practice?

The farm implements soil scanning techniques as a basis for variable planting density, in-field digital monitoring of the yield, and crop scanning technologies to support optimum timing and variable rate application of fertilizer and crop protection products. IoT keeps a track of health of the harvest.

https://www.cropscience.bayer.com/innovations/data-science/a/what-does-internet-farming-look-practice

Utkarsh Jauhari

Birla Cement


Installation of new energy-efficient grinding systems like Vertical Roller Mill (VRM) for raw mill grinding and Roll Presses for cement grinding. Continuous upgradation of technology through installation of latest energy-efficient clinker coolers and grinding systems like VRM and Roll Press.

Syed Nawaz Mehdi

Bosch


Robert Bosch GmbH

Bosch implemented IOT in 2013 and now provides IOT suite for other businesses.

Bosch continues to expand its offering of IoT enabled products  and sold 38 million web-enabled products in 2017. Today, 20 percent of its roughly 27,000 software developers focus exclusively on the IoT. Bosch expects the global IoT market to grow by 35 percent a year to reach an annual volume of 250 billion U.S. dollars by 2020. It is now aiming to have internet connectivity in all its electronic devices by that time. Data-based services will be offered for each device based on artificial intelligence. 

Industry 4.0 - Digital Bosch plant in Blaichach, Germany

18 Oct 2018

The Bosch Blaichach plant is renowned for passionately driving advanced industrial technology.
This video takes you on a journey through our factory of the future and demonstrates a holistic digital approach and the daily utilization of wide-ranging Industry 4.0 applications by our experts.
_______________
https://www.youtube.com/watch?v=m6sl8KMsm5Q


_______________

BOSCH AUTOMOTIVE, WUXI, CHINA - ONE OF THE TOP 9 SMART FACTORIES
IDENTIFIED BY WEF IN 2018

Bosch Automotive (Wuxi, China): Advanced data analytics are helping the company to “deeply understand and eliminate output losses, simulate and optimise process settings, and predict machine interruptions before they occur”.

Bosch strives to complete the proof-of-concept (PoC) phase very rapidly.

Able to focus its resources and to maintain an innovation spped of approx. 10 PoCs per year.

To achieve this Bosch, Wuxi created Production Innovation Center with small assembly line for training and development purpose.

SURA BHARAT, SMRITI MAURYA, SURAVAJJULA V S ABHIRAM - NITIE 2019-2021

Dell


Use of closed-loop plastics - Recycling

Dell says,

We recycle millions of pounds of closed-loop plastics to make new parts for new computers and monitors each year. After materials are disassembled, the plastics are shredded, melted and then mixed with virgin plastics. The average closed-loop recycled content of the resins we use is 30-35%. We are saving money through recycling and protecting our environment at the same time – it’s a perfect example of productive and sustainable circular design. 


https://resource-recycling.com/plastics/2019/07/17/dell-details-its-2018-recycled-plastic-usage/

https://www.prnewswire.com/news-releases/dell-ships-first-recycled-ocean-plastics-packaging-in-its-industry-300411721.html

Yash Palanpure

Fujitsu


4 July 2019

Fujitsu’s New Technologies Reduce the Cost of AI Solution Creation for Visual Inspection Applications

Fujitsu EMEIA


Fujitsu Laboratories of Europe’s new technologies dramatically cut the costs of creating AI solutions for visual inspection applications, including manufacturing, infrastructure maintenance and healthcare

The innovative new technologies do advanced automatic unsupervised defect detection (typically 80-90% automatic discovery of regions of interest) with significantly faster AI-assisted dataset training and labelling (factor of 50 to 100x than previously achievable)

The new AI-assisted GUI, LabelGear, enables high quality labeled datasets to be created rapidly and cost-effectively, overcoming limitations associated with traditional deep learning methods

 The novel solution uses a new type of defect detector that is trained on normal (non-defective) data, reducing dataset creation costs as well as enabling the detection of previously unseen patterns. 

Visual inspection is the principal method adopted in analyzing  images, with the purpose of identifying regions of interest.  In manufacturing, this approach is used to identify defective products or defective areas in a product. In infrastructure maintenance applications, it is used to find cracks in bridges or holes in the road, while in healthcare it can be used to find patches of unhealthy tissue. By automating visual inspection, analysis time can be greatly reduced and a substantial cost overhead removed. In addition, it delivers more consistent results, by reducing the variations caused by different human interpretations.  For example, 100,000 images would need to be inspected in order to create a dataset containing 100 defects (average defect rate of 0/1%), and 1 million in order to create a more reasonable dataset with 1,000 regions of interest. Fujitsu Laboratories of Europe’s combined AI solution overcomes both of these issues, enabling high quality labelled datasets to be created rapidly and cost-effectively. The new technologies can be used separately or together, with the anomaly detection technology used directly to detect any type of deviation from what is considered as the norm and LabelGear deployed to assign the required labels if the solution requires the type of deviation (or defect) to be specified.

Once provided with a high volume of low-cost and easily available defect-free samples, the  new defect detector technology is able to rapidly work out what to look for automatically. This simplifies and accelerates the creation of machine learning solutions, as well as enabling the detection of previously unknown anomalies. Combined with the  new AI-assisted GUI, LabelGear,  a powerful new visual inspection tool was engineered that can be applied to a wide variety of tasks, reducing costs, improving accuracy and accelerating the overall process.”

Potential applications include manufacturing, where cameras are placed at key points on a production line, continuously monitoring product quality and identifying any potential defects. In the steel industry for example, where a 2km long steel coil is produced every hour, some 70,000 images are used to capture the surface of a single coil and over 1 million during the course of a day. With Fujitsu’s automated unsupervised solution, 80-90% of the defects can be automatically identified and assigned appropriate labels, covering around 200 types of defects that need to be recognized. 

In healthcare, where the solution can be used to diagnose and screen for abnormalities, such as chest abnormalities (using X-ray scans). In the US alone, around 150 million such health checks are performed each year.  Fujitsu’s automated unsupervised visual inspection technologies can take up the task of identifying and indicating abnormalities in X-rays.

https://www.fujitsu.com/emeia/about/resources/news/press-releases/2019/emeai-20190704-fujitsu-s-new-technologies-reduce-the-cost.html

Vikas Labh

Hitachi


Case Study of Improving Productivity and Reducing Work Improvement Costs

Hitachi developed a solution to reduce work improvement costs. Hitachi has developed an AI system that uses big data such as work performance information, to understand worksite improvements and issue appropriate work instructions. The effectiveness of the system for improving distribution warehouse work was demonstrated by the company. In the future, Hitachi will continue to work on expanding this  AI system to other operations and processes of  manufacturing and distribution.



 

Value Creating Innovations in Smart Manufacturing Value Chains 

Artificial Intelligence (AI) and Machine Learning are obviously core elements of Smart Manufacturing.
The focus is on finding correlations to optimize manufacturing instead of searching causalities. The question asked by manufacturing applied data scientists is “what do we have to do to be successful” instead of “why are we successful”. Cyber-physical systems connect the Internet of Things with people (customers) and new tools, resources and services in production systems – in real time. This lies at the heart of Smart Manufacturing driving the Fourth Industrial Revolution, in which context, value creation is platform-based and integrated in business ecosystems. Today, the technology is there and companies are on their way to revolutionize business.

In article in Hitachi Review (2018) by Thomas Bauernhansl
Director of the Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Director of the Institute of Industrial Manufacturing and Management IFF at the University of Stuttgart.
(We can see Hitachi's intent to use digital manufacturing for value/productivity creation from this article)

Huawei

Intelligent Manufacturing: Connections for Success

Flexible manufacturing based on digital technologies is now becoming the norm. Intelligent, connected systems enable machines and humans to collaborate on "mass customization", where factories maintain the efficiencies of mass production while quickly creating personalized products for highly specific customer needs. Manufacturers are also beginning to extend their after-sales service and increase customer engagement. With an ecosystem of equipment, devices, and sensors communicating in real time, manufacturers are empowered to create exceptional customer experiences and build long-term relationships with users. Instead of moving production to lower-cost locations, siting production hubs closer to markets and investing in intelligent manufacturing technologies are seen as more sustainable solutions.  Intelligent manufacturers need to find the right balance: between using existing talent and new technology; between outright profit and impact on the environment Predictive maintenance is a case in point. It boosts productivity by avoiding the need to shut down plant and equipment to fix failures or for unwarranted routine maintenance. But to accurately predict when maintenance is necessary, data about in-service equipment and actual operating conditions must be available and analysed in real time.  

https://www.huawei.com/en/industry-insights/technology/digital-transformation/manufacture

Vishnu Hurkat

Merck

March 2020

Merck's New LANEXO™ System to Improve Scientists' Productivity in the Lab

Merck  launched  LANEXO™ Lab Inventory, Safety and Compliance Management System, a new digital laboratory informatics solution designed to drastically reduce Scientists'   time in labs recording data and improve data quality and traceability.

25 percent of time of  scientists is spent managing data of reagents use and results — taking scientists away from bench research. Efficiency in this task will give scientists more time to focus on their research and analytics work and less on administrative tasks, which ultimately leads to faster drug development. LANEXO™ System is  first-in the market to improve the efficiency of this task.  

Laboratory informatics is the application of data using a platform of software, data management tools and equipment that allow scientific data to be captured and interpreted for immediate use, and then stored for future research and development purposes. Merck also is the first to offer radio-frequency identification (RFID) labels which auto-register open dates and calculate expiry dates. The cloud-based LANEXO™ System can be easily set up and rapidly integrated into existing lab workflows. It includes mobile (Android) and web applications and is designed for use in highly regulated analytical and research labs in pharmaceutical, quality assurance / quality control and industrial testing markets.

https://www.prnewswire.com/in/news-releases/merck-s-new-lanexo-tm-system-to-improve-scientists-productivity-in-the-lab-853222082.html

Vikrant Yadav


Panasonic

September 2019

Productivity Solutions from Panasonic System Communications Company Europe 

Panasonic System Communications Company Europe  introduced a major new B2B solution called Gemba Process Innovation to help its consultancy and system solutions customers in the manufacturing, logistics and retail sectors innovate to improve productivity and customer satisfaction.

The Panasonic Gemba Process Innovation teams work by understanding the customer’s challenges and working with them to re-evaluate each gemba; every area where core operations are undertaken. New processes and the latest technology solutions are then designed to improve effectiveness and efficiencies. Pilot projects, with key performance indicators, are run and optimized before full business roll-out.

https://www.realwire.com/releases/Panasonic-Introduces-Gemba-Process-Innovation

https://www.panasonic.com/global/corporate/cns/gpi.html   (Case studies successful "Gemba Process Innovation" in client companies available)

https://business.panasonic.co.uk/solutions/gemba-process-innovation

Arzoo Tisekar, PGDIM 27

SAP

ɅRISTOTELES for Productivity Improvement of Renewable Energy Plants

Kaiserwetter continued to advance its IoT platform and developed ɅRISTOTELES 3.0 as an executive-level dashboard to aggregate and correlate technical, meteorological, and financial data to maximize the performance and minimize investment risks. 

Earlier versions of ɅRISTOTELES already showed remarkable results for wind farms and solar parks.  ɅRISTOTELES 3.0 makes  artificial intelligence available on a daily basis safeguarding the performance of renewable energy assets. Based on SAP HANA and SAP Leonardo IoT technology, the ɅRISTOTELES architecture with its implemented machine learning algorithms has made early technical failure detection and surface alerts possible – allowing consumers to react in advance, and avoid negative impacts on their asset’s performance.

Implementing ARISTOTELES within wind turbines or solar inverter, the following was possible:

Build a unique simulation model of normal operating conditions for each wind turbine or solar inverter of a specific renewable energy asset,

Compare the model results against the current asset performance from real-time data of each installation, such as wind and rotor speed, pitch angle, solar radiation and temperatures, .

Watch the connected machines, identify anomalies, and detect potential failure, which may lead to the underperformance of a unit or even a breakdown.

This information allows Kaiserwetter to provide their clients with the assurance of minimized downtime risk and instead maximize their returns by providing them with the ability to act in advance to avoid any negative impacts on their asset's performance.

Proof of Return on Investment

Clients using the ARISTOTELES  have found:

4-5% Increase in performance 

97% Accuracy of early failure detection of wind turbines

These improvements provided clients with the visibility needed to support their decision-making process along with the necessary agility to take action in case of potential failures.

https://www.forbes.com/sites/sap/2020/09/28/learn-how-internet-of-things-is-transforming-the-fight-against-climate-change/


Vedant Saraf, PGDIM, NITIE

First published on 29 September 2020











Sunday, October 4, 2020

Solid Modelling - CAD

 


Solid Entities

Block

Cylinder

Cone

Sphere

Wedge

Torus


Solid Modelling Techniques for Volume Modelling

Boundary representation (B-rep)

Constructive solid geometry (CSG)

Sweep representation


Constructive Solid Geometry

Solid primitives

Half-spaces

Regularized set operations and their geometric meaning


Surface Modelling - CAD

 

Surface Entities


Plane surface


Ruled (lofted) surface


Surface of Revolution


Tabulated Cylinder


Parametric Representation of Analytic Surfaces


Techniques for Surface Modelling


Surface patch

Coons patch

Bicubic patch


Wireframe Modelling - CAD

 


Wireframe Entities


Points and Lines


Design of Curved Shapes


Analytic Curves


Synthetic Curves


Hermite cubic spline

Bezier curves

Saturday, October 3, 2020

Prof Richard Wysk - Industrial Engineering and Manufacturing

Ph.D. Industrial Engineering; May 1977, Purdue University, W. Lafayette, Indiana

M.S. Industrial Engineering and Operations Research; Sept. 1973, University of Massachusetts, Amherst, Massachusetts

B.S. Industrial Engineering and Operations Research; Dec. 1972, University of Massachusetts, Amherst, Massachusetts

https://www.engr.psu.edu/cim/index.htm  

https://www.engr.psu.edu/cim/courses.htm

https://www.ise.ncsu.edu/people/rawysk/

https://www.ise.ncsu.edu/blog/2015/02/26/faculty-profile-richard-wysk/

https://slideplayer.com/slide/7254162/


https://www.linkedin.com/in/richard-wysk-60b1a88/

CAD-CAM - Groover - Book Information

 




CAD/CAM: Computer-Aided Design and Manufacturing


Groover

Pearson Education India, 1984 - CAD/CAM systems - 510 pages


In this book, the authors examine interactive computer graphics and its use in designing industrial robots, computer control of manufacturing processes, computer-integrated production control, automated inspections, and flexible manufacturing systems. They also discuss the implementation of turnkey CAD/CAM systems.

https://books.google.co.in/books?id=18cy2E-o8gIC


CAD/CAM: Computer-Aided Design and Manufacturing


M. Groover, E. Zimmers

Pearson Education, 01-Dec-1983 - Technology & Engineering -


In this book, the authors examine interactive computer graphics and its use in design industrial robots, computer control of manufacturing processes, computer-integrated production control, automated inspections, and flexible manufacturing systems. They also discuss the implementation of turnkey CAD/CAM systems.

https://books.google.co.in/books?id=iWku2WqFuLwC










Friday, October 2, 2020

Maynard's Industrial Engineering Handbook - Book Information and Review Articles

 

An online Knol Handbook of Industrial Engineering is now available

This collection of articles need to be increased now. 

_________________________________________________________________________________

About the Book - Maynard's Industrial Engineering Handbook

Kjell B. Zandin, Harold B. Maynard
May 15, 2001
Hardback, 2048 pages
ISBN 0070411026 / 9780070411029

Brought fully up to date by expert Kjell Zandin, Maynard’s Industrial Engineering Handbook, Fifth Edition puts exhaustive application-driven coverage of industry principles and practices, materials and systems, at your fingertips. Covering everything from work measurement and material flow, to facilities and quality control, this unparalleled reference is nothing less than the most in-depth, hands-on IE reference available. Designed for industrial engineers who are challenged to do more, in more arenas, this new edition introduces you to both traditional and the latest, most efficient, and cost-effective IE methods and technologies. In 133 solution-packed chapters--90 percent completely new--from 176 expert contributors worldwide, you can explore the Kazien approach to methods engineering, design for assembly, statistical quality control, lean manufacturing, agile production, demand flow technology, and much, much more. You’ll be brought up to speed on breakthroughs in information technology, computer simulation, sensors and controls, economic analyses, robotics, planning, management, organization, and more. 24 case studies illuminate real-life applications, from company turnarounds using IE techniques to neural network applications and implementing a paperless warehouse management system.

Table of contents



Section I: Industrial Engineering: Past, Present and Future.


Chapter 1.1: The Purpose and Evolution of Industrial Engineering.
Chapter 1.2: The Role and Career of the Industrial Engineer in the Modern Organization.
Chapter 1.3 Educational Programs for the Industrial Engineer.
Chapter 1.4: The Industrial Engineer as a Manager.
Chapter 1.5: Fundamentals of Industrial Engineering.
Chapter 1.6: The Future of Industrial Engineering: One Perspective.
Chapter 1.7: Future Technologies for the Industrial Engineer.
Chapter 1.8: The Future Directions of Industrial Enterprises.
Chapter 1.9: The Roles of Industrial and Systems Engineering in Large-Scale Organizational Transformations.

Review and Summary of Articles - Section 1

Section II: Productivity, Performance, and Ethics.


Chapter 2.1: The Concept and Importance of Productivity.
Chapter 2.2: Productivity Improvement Through Business Process Reengineering.
Chapter 2.3: Total Productivity Management.
Chapter 2.4: Performance Management: A Key Role for Supervisors and Team Leaders.
Chapter 2.5: Managing Change Through Teams.
Chapter 2.6: Involvement, Empowerment, and Motivation.
Chapter 2.7: Engineering Ethics: Applications to Industrial Engineering.
Chapter 2.8: Case Study: Productivity Improvement Through Employee Participation.
Chapter 2.9: Case Study: Reducing Labor Costs Using Industrial Engineering Techniques.
Chapter 2.10: Case Study: Teamworking as a Contributor to Global Success.
Chapter 2.11: Case Study: Company Turnaround Using Industrial Engineering Techniques.
Chapter 2.12: Case Study: Improving Response to Customer Demand.
Chapter 2.13: Case Study: Transforming a Company In Central Europe Using Industrial Engineering Methods.

Review and Summary of Articles - Section 2

Links  provided point out  to review knols on these article

Section III: Engineering Economics.


Chapter 3.1: Principles of Engineering Economy and the Capital Allocation Process.
Chapter 3.2: Budgeting and Planning for Profits.
Chapter 3.3: Cost Accounting and Activity-Based Costing.
Chapter 3.4: Product Cost Estimating.
Chapter 3.5: Life Cycle Cost Analysis.
Chapter 3.6: Case Study: Implementing an Activity-Based Costing Program at Auto Parts International.


Section IV: Work Analysis and Design.


Chapter 4.1: Methods Engineering and Workplace Design.
Chapter 4.2: Continuous Improvement.
Chapter 4.3: Work Design and Flow Processes for Support Staff.
Chapter 4.4: Setup Time Reduction.
Chapter 4.5: Case Study: Achieving Quick Machine Setups.


Section V: Work Measurement and Time Standards.


Chapter 5.1: Measurement of Work.
Chapter 5.2: Purpose and Justification of Engineered Labor Standards.
Chapter 5.3: Standard Data Concepts and Development.
Chapter 5.4: Developing Engineered Labor Standards.
Chapter 5.5: Allowances.
Chapter 5.6: Computerized Labor Standards.
Chapter 5.7: Implementation and Maintenance of Engineered Labor Standards.
Chapter 5.8: Work Measurement in Automated Processes.
Chapter 5.9: Case Study: Automated Standard Setting for Casting and Cast Finishing Operations.
Chapter 5.10: Case Study: Labor Standards for Long-Cycle Jobs in the Aerospace Industry.
Chapter 5.11: Case Study: Staffing a Newspaper Pressroom Operation.


Section VI: Ergonomics and Safety.


Chapter 6.1: Ergonomic Information Resources.
Chapter 6.2: Designing, Implementing, and Justifying an Ergonomics Program.
Chapter 6.3: Ergonomic Consumer Product Design.
Chapter 6.4: Manufacturing Ergonomics.
Chapter 6.5: Ergonomics in the Office Environment.
Chapter 6.6: The Interface Between Production System Design and Individual Mechanical Exposure.
Chapter 6.7: Human-Machine System Design and Information Processing.
Chapter 6.8: The Biomechanical Profile of Repetitive Manual Work Routines.
Chapter 6.9: International Environmental Standards Based on ISO 14000.
Chapter 6.10: Occupational Safety Management and Engineering.
Chapter 6.11: Ergonomic Evaluation Tools for Analyzing Work.
Chapter 6.12: Case Studies: Prevention of Work-Related Musculoskeletal Disorders in Manufacturing and Service Environments.


Section VII: Compensation Management and Labor Relations.


Chapter 7.1: Performance-Based Compensation: Designing Total Rewards to Drive Performance.
Chapter 7.2: Job Evaluation.
Chapter 7.3: Lean Organization Pay Design.
Chapter 7.4: Reengineering Production Incentive Plans.
Chapter 7.5: Presenting a Case at Arbitration.
Chapter 7.6: Compensation Administration.
Chapter 7.7: Case Study: Modern Labor Relations: The Roles of Industrial Engineers and Unions.


Section VIII: Facilities Planning.


Chapter 8.1: A Quantitative Approach to the Site Selection Process.
Chapter 8.2: Facilities Layout and Design.
Chapter 8.3: A Participatory Approach to Computer-Aided Workplace Design.
Chapter 8.4: Planning a Manufacturing Cell.
Chapter 8.5: Case Study: Relocating and Consolidating Plant Operations.
Chapter 8.6: Case Study: Changing from a Line to a Cellular Production System.


Section IX: Forecasting, Planning, and Scheduling.


Chapter 9.1: Agile Production: Design Principles for Highly Adaptable Systems.
Chapter 9.2: Scheduling and Inventory Control of Manufacturing Systems.
Chapter 9.3: Supporting Lean Flow Production Strategies.
Chapter 9.4: Just-in-Time and Kanban Scheduling.
Chapter 9.5: Planning and Control of Service Operations.
Chapter 9.6: Demand Flow Technology (DFT).
Chapter 9.7: An Introduction to Supply Chain Management.
Chapter 9.8: Production Scheduling.
Chapter 9.9: Case Study: An Effective Production System for the Automotive Industry.
Part II: WINS.An Effective Production System for the Automotive Industry.


Section X: Logistics and Distribution.


Chapter 10.1: Industrial Engineering Support for Materials Management.
Chapter 10.2: Materials Handling.
Chapter 10.3: Warehouse Management.
Chapter 10.4: Distribution Systems.
Chapter 10.5: Inventory Mangement and Control.
Chapter 10.6: Case Study: Lessons Learned from Implementing a Paperless Warehouse Management System.
Chapter 10.7: Case Study: Developing Engineered Labor Standards in a Distribution Center.


Section XI: Statistics and Operations Research, and Optimization.


Chapter 11.1: Applied Statistics for the Industrial Engineer.
Chapter 11.2: Principles and Applications of Operations Research.
Chapter 11.3: Guide to Optimization Models.
Chapter 11.4: Applications of Queuing Theory.
Chapter 11.5: Simulation Methodology, Tools, and Applications.
Chapter 11.6: Case Study: Neural Network pPplicatios.


Section XII: Information and Communication Management.


Chapter 12.1: Bar Codes and Other Automated Data Collection Methods.
Chapter 12.2: Management of Data.
Chapter 12.3: Information Network Applications.
Chapter 12.4: Interfacing Technical IE Systems with Business Systems.
Chapter 12.5: Artificial Intelligence and Knowledge Management Systems.

Section XIII: Product Design and Quality Management.
Chapter 13.1: Product Development.
Chapter 13.2: Design for Manufacture and Assembly.
Chapter 13.3: Value Management.
Chapter 13.4: Quality Management.
Chapter 13.5: Complying with ISO 9000.
Chapter 13.6: The Role of Statistical Process Control in Improving Quality.
Chapter 13.7: World-Class Manufacturing--An Industrial Engineering View.

Section XIV: Manufacturing Technologies.

Chapter 14.1: Manufacturing Processes.
Chapter 14.2: Process Design and Planning.
Chapter 14.3: Manufacturing Process Design Using Statistical Process Analysis.
Chapter 14.4: Manual and Automated Assembly.
Chapter 14.5: Flexible Automation.
Chapter 14.6: Industrial Process Control.
Chapter 14.7: Packaging Equipment and Methods.
Chapter 14.8: Automation with Robots.
Chapter 14.9: Production Flow Strategies.

Section XV: Government and Service Industry Applications.
Chapter 15.1: Industrial Engineering in Government.
Chapter 15.2: Facilities Planning and Labor Management in the Food Service Industry.
Chapter 15.3: Health Service.
Chapter 15.4: Case Study: Automated Staffing Determination for a Grocery Chain.
Chapter 15.5: Case Study: Development of Job Plans in an Electric Utility.
Chapter 15.6: Case Study: Labor Controls for a Bank.

Section XVI: Maintenance Management.

Chapter 16.1: Computer-Aided Maintenance Planning, Scheduling and Control.
Chapter 16.2: Benefits of Auditing the Maintenance Department.
Chapter 16.3: Total Productive Maintenance (TPM).
Chapter 16.4: Case Study: Automated Job Standards for Aircraft Maintenance.

Section XVII: Tools, Techniques, and Systems.

Chapter 17.1: Charting Techniques.
Chapter 17.2: Stopwatch Time Study.
Chapter 17.3: Work Sampling and Group Timing Technique.
Chapter 17.4: MOST Work Measurement Systems.
Chapter 17.5: Learning Curves.
Chapter 17.6: Group Technology (GT).
Chapter 17.7: CAD/CAM.
Chapter 17.8: Assembly Line Balancing.
Chapter 17.9: Project Management.
Chapter 17.10: Case Study: Applying Learning Curves in Aircraft Production--Procedures and Experiences.
Glossary.

Authors

Kjell B. Zandin is a senior vice president of H.B. Maynard & Company. He was the first recipient of the Technical Innovation in Industrial Engineering Award of the Institute of Industrial Engineers. Mr. Zandin was also awarded the Royal Charter Award of the Institution of Production Engineers in Great Britain. Creator of the MOST® Systems of work measurement, used worldwide, he has 35 years of consulting experience in industrial engineering. Mr. Zandin has been an owner and director of H.B. Maynard and Company for the past 20 years.

The late Harold B. Maynard was the founder of the H.B. Maynard Company of Pittsburgh, Pennsylvania, and a major contributor to the advancement of the industrial engineering profession.

Review and Summary of Articles

I propose to write a review and summary for the chapters. My review articles will have the nature of review articles proposed by Knol initially. An author can present his views on the topic in the review article. I also propose to provide current information on the topic in review article.
Links  provided point out  to review knols on these article
Section I: Industrial Engineering: Past, Present and Future.
Chapter 1.1: The Purpose and Evolution of Industrial Engineering.
Chapter 1.2: The Role and Career of the Industrial Engineer in the Modern Organization.
Chapter 1.3 Educational Programs for the Industrial Engineer.
Chapter 1.4: The Industrial Engineer as a Manager.
Chapter 1.5: Fundamentals of Industrial Engineering.
Chapter 1.6: The Future of Industrial Engineering: One Perspective.
Chapter 1.7: Future Technologies for the Industrial Engineer.
Chapter 1.8: The Future Directions of Industrial Enterprises.
Chapter 1.9: The Roles of Industrial and Systems Engineering in Large-Scale Organizational Transformations.


Section II: Productivity, Performance, and Ethics.
Chapter 2.1: The Concept and Importance of Productivity.
Chapter 2.2: Productivity Improvement Through Business Process Reengineering.
Chapter 2.3: Total Productivity Management.
Chapter 2.4: Performance Management: A Key Role for Supervisors and Team Leaders.
Chapter 2.5: Managing Change Through Teams.
Chapter 2.6: Involvement, Empowerment, and Motivation.
Chapter 2.7: Engineering Ethics: Applications to Industrial Engineering.
Chapter 2.8: Case Study: Productivity Improvement Through Employee Participation.
Chapter 2.9: Case Study: Reducing Labor Costs Using Industrial Engineering Techniques.
Chapter 2.10: Case Study: Teamworking as a Contributor to Global Success.
Chapter 2.11: Case Study: Company Turnaround Using Industrial Engineering Techniques.
Chapter 2.12: Case Study: Improving Response to Customer Demand.
Chapter 2.13: Case Study: Transforming a Company In Central Europe Using Industrial Engineering Methods.


Section III: Engineering Economics.
Chapter 3.1: Principles of Engineering Economy and the Capital Allocation Process.
Chapter 3.2: Budgeting and Planning for Profits.
Chapter 3.3: Cost Accounting and Activity-Based Costing.
Chapter 3.4: Product Cost Estimating.
Chapter 3.5: Life Cycle Cost Analysis.
Chapter 3.6: Case Study: Implementing an Activity-Based Costing Program at Auto Parts International.


Section IV: Work Analysis and Design.
Chapter 4.1: Methods Engineering and Workplace Design.
Chapter 4.2: Continuous Improvement.
Chapter 4.3: Work Design and Flow Processes for Support Staff.
Chapter 4.4: Setup Time Reduction.
Chapter 4.5: Case Study: Achieving Quick Machine Setups.


Section V: Work Measurement and Time Standards.
Chapter 5.1: Measurement of Work.
Chapter 5.2: Purpose and Justification of Engineered Labor Standards.
Chapter 5.3: Standard Data Concepts and Development.
Chapter 5.4: Developing Engineered Labor Standards.
Chapter 5.5: Allowances.
Chapter 5.6: Computerized Labor Standards.
Chapter 5.7: Implementation and Maintenance of Engineered Labor Standards.
Chapter 5.8: Work Measurement in Automated Processes.
Chapter 5.9: Case Study: Automated Standard Setting for Casting and Cast Finishing Operations.
Chapter 5.10: Case Study: Labor Standards for Long-Cycle Jobs in the Aerospace Industry.
Chapter 5.11: Case Study: Staffing a Newspaper Pressroom Operation.


Section VI: Ergonomics and Safety.
Chapter 6.1: Ergonomic Information Resources.
Chapter 6.2: Designing, Implementing, and Justifying an Ergonomics Program.
Chapter 6.3: Ergonomic Consumer Product Design.
Chapter 6.4: Manufacturing Ergonomics.
Chapter 6.5: Ergonomics in the Office Environment.
Chapter 6.6: The Interface Between Production System Design and Individual Mechanical Exposure.
Chapter 6.7: Human-Machine System Design and Information Processing.
Chapter 6.8: The Biomechanical Profile of Repetitive Manual Work Routines.
Chapter 6.9: International Environmental Standards Based on ISO 14000.
Chapter 6.10: Occupational Safety Management and Engineering.
Chapter 6.11: Ergonomic Evaluation Tools for Analyzing Work.
Chapter 6.12: Case Studies: Prevention of Work-Related Musculoskeletal Disorders in Manufacturing and Service Environments.


Section VII: Compensation Management and Labor Relations.
Chapter 7.1: Performance-Based Compensation: Designing Total Rewards to Drive Performance.
Chapter 7.2: Job Evaluation.
Chapter 7.3: Lean Organization Pay Design.
Chapter 7.4: Reengineering Production Incentive Plans.
Chapter 7.5: Presenting a Case at Arbitration.
Chapter 7.6: Compensation Administration.
Chapter 7.7: Case Study: Modern Labor Relations: The Roles of Industrial Engineers and Unions.


Section VIII: Facilities Planning.
Chapter 8.1: A Quantitative Approach to the Site Selection Process.
Chapter 8.2: Facilities Layout and Design.
Chapter 8.3: A Participatory Approach to Computer-Aided Workplace Design.
Chapter 8.4: Planning a Manufacturing Cell.
Chapter 8.5: Case Study: Relocating and Consolidating Plant Operations.
Chapter 8.6: Case Study: Changing from a Line to a Cellular Production System.


Section IX: Forecasting, Planning, and Scheduling.
Chapter 9.1: Agile Production: Design Principles for Highly Adaptable Systems.
Chapter 9.2: Scheduling and Inventory Control of Manufacturing Systems.
Chapter 9.3: Supporting Lean Flow Production Strategies.
Chapter 9.4: Just-in-Time and Kanban Scheduling.
Chapter 9.5: Planning and Control of Service Operations.
Chapter 9.6: Demand Flow Technology (DFT).
Chapter 9.7: An Introduction to Supply Chain Management.
Chapter 9.8: Production Scheduling.
Chapter 9.9: Case Study: An Effective Production System for the Automotive Industry.
Part II: WINS.An Effective Production System for the Automotive Industry.


Section X: Logistics and Distribution.
Chapter 10.1: Industrial Engineering Support for Materials Management.
Chapter 10.2: Materials Handling.
Chapter 10.3: Warehouse Management.
Chapter 10.4: Distribution Systems.
Chapter 10.5: Inventory Management and Control.
Chapter 10.6: Case Study: Lessons Learned from Implementing a Paperless Warehouse Management System.
Chapter 10.7: Case Study: Developing Engineered Labor Standards in a Distribution Center.


Section XI: Statistics and Operations Research, and Optimization.
Chapter 11.1: Applied Statistics for the Industrial Engineer.
Chapter 11.2: Principles and Applications of Operations Research.
Chapter 11.3: Guide to Optimization Models.
Chapter 11.4: Applications of Queuing Theory.
Chapter 11.5: Simulation Methodology, Tools, and Applications.
Chapter 11.6: Case Study: Neural Network Applications.


Section XII: Information and Communication Management.
Chapter 12.1: Bar Codes and Other Automated Data Collection Methods.
Chapter 12.2: Management of Data.
Chapter 12.3: Information Network Applications.
Chapter 12.4: Interfacing Technical IE Systems with Business Systems.
Chapter 12.5: Artificial Intelligence and Knowledge Management Systems.

Section XIII: Product Design and Quality Management.
Chapter 13.1: Product Development.
Chapter 13.2: Design for Manufacture and Assembly.
Chapter 13.3: Value Management.
Chapter 13.4: Quality Management.
Chapter 13.5: Complying with ISO 9000.
Chapter 13.6: The Role of Statistical Process Control in Improving Quality.
Chapter 13.7: World-Class Manufacturing--An Industrial Engineering View.

Section XIV: Manufacturing Technologies.
Chapter 14.1: Manufacturing Processes.
Chapter 14.2: Process Design and Planning.
Chapter 14.3: Manufacturing Process Design Using Statistical Process Analysis.
Chapter 14.4: Manual and Automated Assembly.
Chapter 14.5: Flexible Automation.
Chapter 14.6: Industrial Process Control.
Chapter 14.7: Packaging Equipment and Methods.
Chapter 14.8: Automation with Robots.
Chapter 14.9: Production Flow Strategies.

Section XV: Government and Service Industry Applications.
Chapter 15.1: Industrial Engineering in Government.
Chapter 15.2: Facilities Planning and Labor Management in the Food Service Industry.
Chapter 15.3: Health Service.
Chapter 15.4: Case Study: Automated Staffing Determination for a Grocery Chain.
Chapter 15.5: Case Study: Development of Job Plans in an Electric Utility.
Chapter 15.6: Case Study: Labor Controls for a Bank.

Section XVI: Maintenance Management.
Chapter 16.1: Computer-Aided Maintenance Planning, Scheduling and Control.
Chapter 16.2: Benefits of Auditing the Maintenance Department.
Chapter 16.3: Total Productive Maintenance (TPM).
Chapter 16.4: Case Study: Automated Job Standards for Aircraft Maintenance.

Section XVII: Tools, Techniques, and Systems.

Chapter 17.1: Charting Techniques.
Chapter 17.2: Stopwatch Time Study.
Chapter 17.3: Work Sampling and Group Timing Technique.
Chapter 17.4: MOST Work Measurement Systems.
Chapter 17.5: Learning Curves.
Chapter 17.6: Group Technology (GT).
Chapter 17.7: CAD/CAM.
Chapter 17.8: Assembly Line Balancing.
Chapter 17.9: Project Management.
Chapter 17.10: Case Study: Applying Learning Curves in Aircraft Production--Procedures and Experiences.
Glossary.

Back cover copy

THE CLASSIC REFERENCE, COMPLETELY UPDATED TO COVER THE LATEST IE ISSUES AND CHALLENGES

The most complete, practical working guide to the principles, methods, materials, and systems of industrial engineering available. The Fifth Edition of Maynard's is a bold new reference for a vibrant profession. Designed for industrial engineers who are challenged to do more, in more arenas, this new edition of an industry pillar gives you:

*Focus on practical applications of new methods and technologies
*Succinct articles and summaries with superb indexing that yield the information you want quickly
*Inclusive coverage of everything from the evolution of industrial engineering to useful developments in CAD/CAM, with the emphasis on productivity
*More than 20 full-scale case studies with detailed closeups of real-world application successes

THE NEWEST, MOST EFFICIENT, AND COST-EFFECTIVE METHODS AND TECHNOLOGIES
*133 solution-packed chapters--90 percent completely new--from 176 expert contributors from the United States, Canada, Europe, Central America, and Asia
*Comprehensive, applications-oriented coverage of traditional and up-to-date IE topics
*Tested, cost-cutting breakthroughs in information technology, computer simulation, statistical quality control, sensors and controls, economic analyses, robotics, planning, management, organization, and more

ON-THE-JOB CASE STUDIES
*Company Turnaround Using IE Techniques
*Improving Response to Consumer Demand
*Implementing an ABC Program
*Modern Labor Relations
*Relocation and Consolidation of Plant Operations
*An Effective Production System for the Auto Industry
*Developing Engineering Labor Standards in a Distribution Center
*Neural Network Applications
*Implementing a Paperless Warehouse Management System
*Total Productivity Management
*Applying Learning Curves in Aircraft Production
*And thirteen more

CUTTING-EDGE IE
*Lean Manufacturing
*Agile Production
*Activity-Based Costing
*JIT and Kanban Scheduling
*Supply Chain Management
*Kaizen Approach to Method Engineering
*Demand Flow Technology
*Group Technology and Team Issues
*Design for Assembly
*Role and Career of the Industrial Engineer
*Compensation Management


----------------------------------------------------------------------------------------------------------------------------------------------------------
Related Knol
Introduction to Industrial Engineering - Course at NITIE


----------------------------------------------------------------------------------------------------------------------------------------------------------