Thursday, November 30, 2023

Problem-solving within Value Streams - Al Shalloway

 Embark on a transformative journey with Al Shalloway in this compelling video presentation, where he delves into the art of problem-solving within Value Streams. As a seasoned expert in Lean-Agile practices, Al unravels the core principles essential for effective Value Stream management, guiding viewers through the identification and mitigation of common challenges. Gain insights into the influential factors shaping Value Streams and learn from real-world case studies and best practices. Whether you're a seasoned Agile practitioner or just starting your journey, Al Shalloway's expertise offers a roadmap to streamline processes, eliminate waste, and optimize the flow of value for enhanced organizational success.



https://successengineering.works/presentations/











ChatGPT - Engineering Innovation - Performance and Productivity Benefits

MODERN INDUSTRIAL ENGINEERING, PRODUCTIVITY MANAGEMENT, COST REDUCTION PRINCIPLES, FUNCTIONS AND FOCUS AREAS. Free Download

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 

30 November 2023 - First year Anniversary of ChatGPT


ChatGPT is marking one year since its creation. How much more do we know about AI now? 

By Liana Walker and Brianna Morris-Grant

https://www.abc.net.au/news/2023-11-30/chatgpt-turns-one-what-lessons-have-we-learned-from-ai/103166894

Three billion people now have access to either ChatGPT or Copilot or to Bard, who are the big three chat AI bots.

 Bloomberg reported that the AI generative industry will be worth $1.3 trillion over the next 10 years,.


https://www.bostonglobe.com/2023/11/29/business/chatgpt-one-year-anniversary/


 last revised 29 Nov 2023 (this version, v2)]

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning from human feedback, it showed that a model could answer human questions and follow instructions on a broad panel of tasks. Following this success, interests in LLMs have intensified, with new LLMs flourishing at frequent interval across academia and industry, including many start-ups focused on LLMs. While closed-source LLMs (e.g., OpenAI's GPT, Anthropic's Claude) generally outperform their open-source counterparts, the progress on the latter has been rapid with claims of achieving parity or even better on certain tasks. This has crucial implications not only on research but also on business. In this work, on the first anniversary of ChatGPT, we provide an exhaustive overview of this success, surveying all tasks where an open-source LLM has claimed to be on par or better than ChatGPT.

https://arxiv.org/abs/2311.16989


https://www.axios.com/2023/11/28/chat-gpt-one-year-anniversary-ai

Axios has local news sections - Austin is one location.

30 November 2022

Tweet by Sam Altman on Twitter

British Factory, Japanese Factory: National Diversity in Industrial Relations - Ronald Dore Book Information

 British Factory, Japanese Factory: The Origins of National Diversity in Industrial Relations

Ronald Dore

University of California Press, 1973 - Industrial relations - 432 pages

The way that the Japanese work is often perceived as "different." The author here sets out to find how different and why. He is not interested in impressionistic East/West comparisons but in making a strict comparison of two Japanese factories with two British ones making similar products. The first half of his book illustrates the attitudes and assumptions that underline the "organization-oriented" system of Japan and the "market-oriented" system of Britain. Much can be said for the orderliness, the mutual consideration, with which the Japanese manage their affairs; but they pay a price--the sacrifice of individuality and of independence. The British preserve these virtues but, in doing so, they pay a price in suspicion, obstinacy, inertia, and what the author calls "a shifting mixture of complacency and national self-doubt." But the purpose of this book is not to judge but to explain--to give, as the author says, a causal account of the genesis of the reasons why there should be two all but identical processes of creating all but identical electric generators--two very different ways of ordering the social and economic relations among the people involved.


Preview













Twitter - X - Computing & Communication Cost Reduction - Cost Savings - Elon Musk

 MODERN INDUSTRIAL ENGINEERING, PRODUCTIVITY MANAGEMENT, COST REDUCTION PRINCIPLES, FUNCTIONS AND FOCUS AREAS.   Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


X Shifts Media Processing from Cloud to On-Prem: Saves $60M

https://www.linkedin.com/pulse/x-shifts-media-processing-from-cloud-on-prem-saves-ks6oe/

https://www.linkedin.com/pulse/unlocking-efficiency-cost-savings-strategic-shift-from-ashvit--9wpfc/

https://www.cnbc.com/2022/11/03/musk-orders-twitter-to-cut-infrastructure-costs-by-1-billion-sources-say.html


X/Twitter claims $100m in annual savings after exiting Sacramento data center

Company also cites savings from cloud repatriation moves

https://www.datacenterdynamics.com/en/news/xtwitter-claims-100m-in-annual-savings-after-exiting-sacramento-data-center/

October 31, 2023


August 15, 2023

How Much Does Twitter Spend On AWS And Google Cloud?

https://www.cloudzero.com/blog/twitter-aws/



Breaking Down the Cost of Cloud Computing in 2023

By

Linda Rosencrance

Published: 04 Nov 2022

Cost savings is one of the main reasons that companies decide to migrate to a cloud environment. Cloud computing can offer organizations potential financial advantages in a few ways; however, it's important to understand the full implications of cloud pricing, and how it can affect companies.

https://www.techtarget.com/whatis/Breaking-Down-the-Cost-of-Cloud-Computing


2015 Pdf KPMG

https://assets.kpmg.com/content/dam/kpmg/pdf/2015/11/cloud-economics.pdf



News - Miscellaneous Articles and Posts on Tesla

https://ilovetesla.com/

https://www.linkedin.com/in/garyzhou/


30 Nov 2023

Tesla Cybertruck delivery event in 4 minutes

____________________________



https://www.youtube.com/watch?v=BjxIyHp7wBc

____________________________

Elon Musk - Tesla Cybertruck deliveries event in Austin

PUBLISHED THU, NOV 30 20232:38 PM EST

https://www.cnbc.com/2023/11/30/tesla-set-to-reveal-cybertruck-details-at-austin-deliveries-event.html


https://ilovetesla.com/delorean-dmc-12-designer-gives-thumbs-up-to-tesla-cybertruck/

The Tesla Cybertruck is far from a normal vehicle in nearly every way you can assess it, but DeLorean DMC-12 designer Giorgetto Giugiaro gave the truck a nod of approval and gave Tesla props for thinking outside the box.


https://www.linkedin.com/posts/garyzhou_delorean-dmc-12-designer-gives-thumbs-up-activity-7130313857788428288-jziL


https://www.linkedin.com/posts/garrettech_tesla-reveals-everything-that-affects-its-activity-7130243434430279680-xf95

 Tesla has allegedly been suppressing EV range complaints.

Sudhanshuman Naruka

Student at SVKM NMIMS Kirit P. Mehta School of Law

August 6, 2023

https://www.linkedin.com/pulse/tesla-has-allegedly-been-suppressing-ev-range-sudhanshuman-naruka/

Tesla leases space in Pune for its first office in India

Updated - August 03, 2023 at 09:47 AM.

The office space on lease has been taken at a starting monthly rent of ₹11.65 lakh

Tesla plans to roll out EVs at a starting price of ₹20 lakh in India:

https://www.thehindubusinessline.com/companies/tesla-leases-space-in-pune-for-its-first-office-in-india/article67149892.ece

https://www.linkedin.com/pulse/teslas-supply-chain-sujay-v/


https://www.linkedin.com/pulse/tesla-emerges-victorious-ev-charger-wars-earn-warns/


https://www.linkedin.com/pulse/article-tesla-bot-suryateja-kamma/

https://www.linkedin.com/posts/electrek_tesla-software-update-activity-7051249548580585472-lIIC

https://www.linkedin.com/posts/premsingh-rajput-528623209_tesla-revolutionizing-the-auto-industry-activity-7090187534973976576-naZA

https://www.linkedin.com/posts/muralitoday_rareearths-rareearthelements-electricmotors-activity-7037408350208233472-51Oo



2022

https://www.linkedin.com/posts/dbhati9_tesla-reportedly-partners-with-tsmc-for-next-generation-activity-7002832672267923456-a7_F


https://www.linkedin.com/posts/kumar-rikesh_tesla-semi-looks-incredible-as-an-electric-activity-7005037413483835392-fwom







2021

https://www.linkedin.com/posts/aryantandon_rivian-teslamotors-generalmotors-activity-6875038869310590976-qvpW


https://www.linkedin.com/pulse/elon-musks-tesla-stock-sales-demystified-ca-naman-gangwal-cpa/



Ud. 30.11.2023

Pub. 15.11.2023


Botswana - Industrial Engineering Education

 Botswana


Bachelor of Engineering (Industrial Engineering)

https://www.ub.bw/programmes/engineering-and-technology/mechanical-engineering/bachelor-engineering-industrial-engineering


https://www.biust.ac.bw/biust-programmes/beng-industrial-manufacturing-engineering/

FaceBook

University Of Botswana Industrial Engineers Association - UBIEA 

141 likes • 153 followers

https://www.facebook.com/p/University-Of-Botswana-Industrial-Engineers-Association-UBIEA-100064151079233/


?paipv=0&eav=AfYJevdzvcmQEHVlpWgHJ_td9OdGN8-41ygfvleAFYieFCFU2-21U_VQQLE7yWMjRe0&_rdr


How Industrial Engineering has affected my lifePOSTED ON DECEMBER 24, 2016 BY AAWSE_ADMIN

imag3531

Tumisang Orapeleng is a final year Industrial Engineering student at the University of Botswana. She is also working part-time at the Botswana Engineers Registration Board. She speaks about what has changed in her life since she started her course and where she believes her career is headed.


https://aawse.org/how-industrial-engineering-has-affected-my-life/


IEOM Botswana Chapter

Gaborone, Botswana


Founding Chair:


Dr. Jerekias Gandure

Associate Professor

Department of Mechanical Engineering

University of Botswana

Gaborone, Botswana

Phone: +267-3554421; fax: +267-3954902

E-mail: gandurej @  mopipi.ub.bw

Tuesday, November 28, 2023

Software Development Operation Process Chart - Analysis of Software Writing (Development) Operations - IT Industrial Engineering

2023 BEST E-Book on #IndustrialEngineering. 

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


Software Operation Process Chart for Software Process Improvement

Software Operation Process Chart contains two operations - Software Development and Software Testing. Both operations are analyzed for productivity improvement in industrial engineering of software development.


Information for Supporting Analysis of Software Development Operations


Unleashing developer productivity with generative AI

June 27, 2023 | Article


A McKinsey study shows that software developers can complete coding tasks up to twice as fast with generative AI. Four actions can maximize productivity and minimize risks.


Expediting manual and repetitive work.

Jump-starting the first draft of new code. 

Accelerating updates to existing code. 

Increasing developers’ ability to tackle new challenges.

https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/unleashing-developer-productivity-with-generative-ai

McKinsey Developer Productivity Paper - Review

4 Oct 2023

https://dannorth.net/mckinsey-review/

Improving Software Developer Mental Well-Being and Productivity

September 19, 2023

https://www.informatics.uci.edu/8098-2/



 AI & ML: The next generation of developer productivity

By Mike Loukides

August 15, 2023

https://www.oreilly.com/radar/the-next-generation-of-developer-productivity/

Waste Self-reporting for Software Development Productivity Improvement

Marc Sallin, Martin Kropp, Craig Anslow & Robert Biddle 

Conference paper

Open Access

First Online: 20 May 2023

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 475)

Agile Processes in Software Engineering and Extreme Programming  Conference paper



Waste Categories incl. Measurement. 

From: Waste Self-reporting for Software Development Productivity Improvement




                 Waste Category   -     Measurement and Unit


WC1 Building the wrong feature or product [5]       Customer confidence (Likert-Scale)


WC2  Mismanaging the backlog [5]    Time spent (h) & Delay (h)


WC3  Rework [5]  Time spent (h)


WC4  Unnecessarily complex solutions [5]  Time spent (h)


WC5  Extraneous cognitive load [5]  Time spent (h)


WC6  Psychological distress [5]  Stress (numerical rating scale)


WC7  Waiting/multitasking [5]  Delay (h) & Context Switches (count)


WC8  Knowledge loss [5]  Time spent (h)


WC9  Ineffective communication [5]  Time spent (h)


WC10  Management & organizational aspect [19]  Time spent (h) & Delay (h)


WC11  Manual work (new category)  Time spent (h) & Delay (h)


WC12   Other duties (new category)    Time spent (h)


https://link.springer.com/chapter/10.1007/978-3-031-33976-9_4


37 tips for improving productivity in software development teams

By

Daniel Beck

https://sprkl.dev/37-tips-for-improving-productivity-in-software-development-teams/

15 Key Software Development Metrics & KPIs for Measuring Engineering Productivity

28 April 2023 • 24 min read

Andrii Horiachko

Co-Founder at Softermii

https://www.softermii.com/blog/top-9-software-development-metrics-for-measuring-productivity-and-products-quality


Inside the World of Developer Productivity: Best Practices from Google

Vishal Pallerla•April 7, 2023

https://www.devzero.io/blog/inside-the-world-of-developer-productivity-best-practices-from-google


The Impact of AI on Developer Productivity:

Evidence from GitHub Copilot

Sida Peng,∗ Eirini Kalliamvakou, Peter Cihon, Mert Demirer

Feb 2023

https://arxiv.org/pdf/2302.06590.pdf



How To Optimize Developer Productivity During Times Of Financial Uncertainty

Ilan Peleg

Forbes Councils Member

Forbes Business Council

Jan 25, 2023

https://www.forbes.com/sites/forbesbusinesscouncil/2023/01/25/how-to-optimize-developer-productivity-during-times-of-financial-uncertainty/

9 of the Best Productivity Tools for Developers in 2023

January 10, 2023

https://clickup.com/blog/best-productivity-tools-for-developers/


Unblocking Workflows: The 2023 Guide to Developer Productivity

What can you do to accelerate developer productivity in 2023?

Part 1: Key Productivity Challenges

Part 2: Developer Productivity Survey Results

Part 3: Improving Developer Productivity and Collaboration

Part 4: Improve Collaboration to Accelerate Productivity

What can you do to accelerate developer productivity in 2023

https://mattermost.com/guide-to-developer-productivity-2023/#what-can-you-do-to-accelerate-developer-productivity-in-2023


2020

Myths of Programmer Productivity

https://insights.sei.cmu.edu/documents/5690/2020_018_101_650692.pdf

2019

https://www.microsoft.com/en-us/research/video/productivity-in-software-development/

What Predicts Software Developers’ Productivity?

Emerson Murphy-Hill Ciera Jaspan Caitlin Sadowski David C. Shepherd Michael Phillips Collin Winter Andrea Knight Dolan Edward K. Smith Matthew A. Jorde

Transactions on Software Engineering (2019)

https://research.google/pubs/pub47853/


Defining Productivity in Software Engineering

Stefan Wagner & Florian Deissenboeck 

Chapter

Open Access

First Online: 08 May 2019

https://link.springer.com/chapter/10.1007/978-1-4842-4221-6_4

2017

Study of Task Processes for Improving Programmer Productivity

by

Damodaram Kamma

PhD Thesis

2017

IIIT Delhi

https://repository.iiitd.edu.in/xmlui/bitstream/handle/123456789/513/PhD1004.pdf?sequence=1&isAllowed=y

2014

Study of Task Processes for Improving

Programmer Productivity

Damodaram Kamma

Indraprastha Institute of Information Technology, Delhi

Thesis Advisor: Prof. Pankaj Jalote

https://2014.icse-conferences.org/sites/default/files/downloads/Kamma.pdf


https://www.gartner.com/peer-community/post/how-measure-maximize-developer-productivity

https://www.researchgate.net/publication/279259268_Software_Developers'_Perceptions_of_Productivity


Improving speed and productivity of software development: a global survey of software developers

Publisher: IEEE

J.D. Blackburn; G.D. Scudder; L.N. Van Wassenhove

IEEE Transactions on Software Engineering ( Volume: 22, Issue: 12, December 1996)

https://ieeexplore.ieee.org/document/553636


UNDERSTANDING SOFTWARE PRODUCTIVITY

WALT SCACCHI

Information and Operations Management Department

School of Business Administration

University of Southern California

Los Angeles, CA 90089-1421, USA

(Appears in Advances in Software Engineering and Knowledge Engineering, D. Hurley (ed.),

    Volume 4, pp. 37-70, (1995).

December 1994

https://ics.uci.edu/~wscacchi/Papers/Vintage/Software_Productivity.html


1992

1045-1992 - IEEE Standard for Software Productivity Metrics

https://ieeexplore.ieee.org/document/211732

What does this term, "productivity" of software development really mean?

https://www.andrews.edu/~vyhmeisr/papers/progprod.html


1988

Software Metrics

https://insights.sei.cmu.edu/library/software-metrics/









Software Operation Process Chart - Analysis of Software Testing Operations - IT Industrial Engineering

2023 BEST E-Book on #IndustrialEngineering. 

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  Free Download.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0 


Software Operation Process Chart for Software Process Improvement

Software Operation Process Chart contains two operations - Software Development and Software Testing. Both operations are analyzed for productivity improvement in industrial engineering of software development.


What are the best practices for reducing the cost of software testing in large-scale projects?


1

Define clear testing goals and scope

2

Automate your testing as much as possible

3

Implement continuous testing and integration

4

Leverage cloud-based testing tools and services

5

Optimize your testing team and processes

6

Monitor and measure your testing performance and outcomes


Narayana Rao KVSS

Professor (Retired), NITIE - Now IIM Mumbai - Offering FREE IE ONLINE Course Notes


You can prepare a software operation process chart. Operation process chart is an industrial engineering tool to record the operations in a process. It records only two operations. In software operation process chart they will be development and test. All test operations in the chart are examined in the process improvement  to first check whether they are effective. Then they are evaluated for efficiency. Automating them is an efficiency improvement step. The time and cost involved in each testing operation are also recorded in the chart to check whether new methods provide improvement or not.


https://www.linkedin.com/advice/0/what-best-practices-reducing-cost-software

Matthew Heusser is a consulting software tester and self-described software process naturalist who develops, tests and manages software projects. Matt is a contributing editor for Software Test & Quality Assurance Magazine and his blog “Creative Chaos

” focuses on software writing. 

An elected member of the Board of Directors of the Association for Software Testing, Matt recently served as lead editor for “How to Reduce the Cost of Software Testing” (Taylor and Francis, 2011). You can follow Matt on Twitter @mheusser or email him.

1st Edition


How to Reduce the Cost of Software Testing

Edited By Matthew Heusser, Govind Kulkarni

Copyright 2012

https://www.routledge.com/How-to-Reduce-the-Cost-of-Software-Testing/Heusser-Kulkarni/p/book/9781439861554

Jun 21, 2022

Software testing cost estimation: how to optimize your QA budget

When you start a project, the software testing costs may frighten you off. In 2022, the average yearly salary of a QA Engineer in the USA reached $96k. It is essential for CTOs to find ways to optimize the testing budget. But how to cut costs without compromising on product quality?


Ten Ways to Reduce the Cost of Software Testing
By Philip Lew|March 25th, 2022

How to Reduce Your Software Testing Costs by 35%

January 5, 2023  by Bindhu Charles  Test Automation, Testing  Agile Testing Strategy, AI based Testing Framework, Automation Solutions, Scaling Test Automation, Software Testing Costs, test automation framework, Test automation strategy 


Reducing The Cost Of Software Testing: An Overview


A set of ways to optimize the cost of Software Testing

Bechir Haribi

Lead System Engineer at NOFFZ Technologies

https://www.linkedin.com/pulse/set-ways-optimize-cost-software-testing-bechir-haribi/










Beyond Lean: Simulation in Practice - Charles R. Standridge - Book Information

 Beyond Lean: Simulation in Practice, Second Edition


Charles R. Standridge Ph.D., Grand Valley State University


https://scholarworks.gvsu.edu/books/6/


https://scholarworks.gvsu.edu/cgi/viewcontent.cgi?article=1006&context=books

Lean Beyond Flow - Industrial Engineering

 

Lean theory is distilled from Toyota Production System by a team of MIT researchers.

Lean was coined by a researcher to characterise inventory in TPS as lean in contract the traditional inventory maintained in US automotive companies was termed bulk.

Toyota started utilizing lean inventories and made gains in productivity  surpassing the labor productivity of US companies.

The MIT team came out with five principles to explain Lean system to be used by companies now to implement the best practice of Toyota.

The five principles are value, stream, flow, pull and perfection. All these five principles are related to flow. They actually identify inventories in the production system and try to reduce them. As inventories are reduced flow increases. 


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

You can see the focus on flow in lean theory from this explanation by Kettering.

Understanding the Principle of Flow in Lean Manufacturing


Understand value from the customer perspective

Understand the Value Stream

Make the Value Stream Flow

Create Pull

Continuously Improve


Identifying the Seven Flows of Manufacturing

Mike Wroblewski, Senior Operations Consultant for Gemba Consulting, explains in his Reliable Plant blog, the Seven Flows of Manufacturing by his Japanese sensei, Nakao-san:


The flow of raw material

The flow of work-in-process

The flow of finished goods

The flow of operators

The flow of machines

The flow of information

The flow of engineering


Barriers to Flow

If you want to improve flow, first remove all barriers. Figliolino Venanzio, Founder of Lean Six Sigma University, outlines both physical and intangible barriers to flow:


Examples of Physical Barriers to Flow:


Distance: Rather than transporting individual items, they are collected and shipped as a group

Long Setup Times: When changing over tooling takes a long time, larger batches are run

Batch-Oriented Machines: Some machines are designed to be most efficient with large runs.

Poor Maintenance: Machines that break down frequently disrupt flow.

Examples of Intangible Barriers to Flow:


Unreliable Deliveries: When there is no trust that parts will arrive on time, extras are kept on hand

Unreliable Quality: If people think that many parts will be unsuitable or will require rework, extras will be kept on hand

Approval Processes: The approver is seldom standing by, so work is piled up until the next opportunity to get the go-ahead

Lack of Faith: Some people just don’t believe flow is possible, so don’t even try

Resistance to Change: Some people think flow might work, but like things to stay the same.

https://online.kettering.edu/news/understanding-principle-flow-lean-manufacturing

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

Industrial engineering is a discipline formally started as an academic branch in engineering in 1908. Its foundation is cost reduction of engineering products and products produced by machinery developed by engineers through productivity improvement. Initially the focus was on increasing speed of machines and understanding the maximum speed at which a human  operator can work under various weights of load. The premise was that both managers and operators do not know the maximum speed at which work can be done and quality output produced. Also the speed should not damage machines and harm operators. Operators have to be comfortable working at the recommended speed of motions for hand and feet. 


Beyond Lean: Advanced Principles of Productivity [Hypertherm with Kevin Duggan]

https://www.youtube.com/watch?v=n4AuprJ041M

https://www.youtube.com/@InstituteOpex

About

Institute for Operational Excellence

@InstituteOpex

704 subscribers

32 videos

The Institute for Operational Excellence is the leading educational center for organizations and individuals interested in learning how to evolve a lean enterprise into one that can achieve and sustain Operational Excellence.

Links


instituteopex.org

instituteopex.org


Facebook

facebook.com/InstituteOpEx


Twitter

twitter.com/InstituteOpEx

2023 Machine Shop Engineering, Technology & Industrial Engineering - Productivity Improvement & Cost Reduction News

 

https://mfgnewsweb.com/archives.aspx

Metal Working Equipment News 

https://www.equipment-news.com/


Twitter Hashtag Machining

https://twitter.com/hashtag/Machining




Productivity Science of Machining - F.W. Taylor - Experiments and Results.

Free Download

https://www.academia.edu/104259034/Productivity_Science_of_Machining_F_W_Taylor_Experiments_and_Results



November 2023

Well-balanced machining: The key to precision and productivity
Seco Tools


September 2023

YG-1 Launches the New Solution: Indexable Drill ‘X-DRILL’
July 03, 2023
  A New Captive Type of 4-Corner Indexable Drill with Exceptional Performance​

YG-1 Holemaking tools 

YG-1 Holemaking tools are well known for its low tolerance and high technology,
continuously impressing various manufacturers around the world.

Its advance designed geometry brings out extraordinary performances,
creating a longer tool life with outstanding productivity. Also a variety of size and
shapes are available for multiple applications.

YG-1 tools at lower price.


January 2023


New Videos

How To Maximize Machine Productivity
MSC Industrial Supply Co.
26 Jan 2023
In this episode of MSC's How To, Jacob Sanchez is joined by Nate Schaub at Wagner Machine Company in Champaign, Illinois, where Nate shows him Wagner’s tried and true methods of maximizing their machines' productivity.
Join Jacob as he gets down to the root of Wagner Machine Company’s efficient machining operations. What does machine productivity mean to the everyday operator, and how can you as a machinist level up your own efficiency? Find out on this episode of How To.


MSC MillMax® Maximizing Productivity Through Milling Optimization
MSC Industrial Supply Co.

Productivity Calculator: Milling
MSC Industrial Supply Co.

How to Maximize Machine Productivity
MSC Industrial Supply Co.
If you are stuck wondering why your machine’s not as productive as you need it to be, it may be time to evaluate your tool holders. Tools alone are not the answer. Find out more here: http://bit.ly/2GaEQ09

MSC MillMax® Maximizing Productivity Through Milling Optimization - April Webinar
In this webinar, learn how MillMax® will help you realize substantial improvements. After 18 months of testing across industries including Aerospace, Automotive, Transportation, and General Machining customers like you have taken the guesswork out of machining optimization to deliver productivity improvements quickly without significant machine downtime. 

Hosted by: 
Jamie Goettler leads MSC’s metalworking sales and innovation efforts. With over 20 years of experience in metalworking and industrial distribution.
Over $1 Million in Profit Improvements and we are just getting started.

MSC MillMax® Maximizing Productivity Through Milling Optimization
MSC Industrial Supply Co.


Synera - Design to Cost Tool - Geometric Data Linked to Professional Costing Tools

 


The Low-Code Platform for Engineers

Model your product development steps in a simple visual editor and integrate the CAE tools you know and rely on.

Model-based approach

Transition from document-based engineering to model-based engineering and bring agility to your product development processes.


Contact

info@synera.io

+49 (0)421 2215 9700

Konsul-Smidt-Str. 8u

28217 Bremen

Germany

https://www.synera.io/focused-case-study/design-to-cost


https://www.synera.io/success-story/edag


Cost Engineering

Discover how Low-Code can revolutionize cost engineering and procurement. Streamline costing processes and align with sustainability objectives.


Download whitepaper


The path to a cost engineering revolution

Accelerate cost estimation & CO2 analysis time by 80% using Low-Code


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Sunday, November 26, 2023

Engineering Optimization - A Bibliography

 



References from

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

2019 paper


Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot


Mechanical Engineering, Carnegie Mellon University

Engineering and Public Policy, Carnegie Mellon University

Pittsburgh, PA, USA

https://meche.engineering.cmu.edu/_files/images/research-groups/whitefoot-group/NJKW-OptPartConsolidation-JMD.pdf


References

[1] Yang, S., Talekar, T., Sulthan, M. A., and Zhao, Y. F.,

2017, "A Generic Sustainability Assessment Model towards

Consolidated Parts Fabricated by Additive Manufacturing

Process," Procedia manufacturing, 10, pp. 831-844.

[2] Yang, S., Tang, Y., and Zhao, Y. F., 2015, "A new part

consolidation method to embrace the design freedom of

additive manufacturing," Journal of Manufacturing Processes,

20, pp. 444-449.

[3] Yang, S., and Zhao, Y. F., 2015, "Additive manufacturingenabled design theory and methodology: a critical review,"

The International Journal of Advanced Manufacturing

Technology, 80(1), pp. 327-342.

[4] Hague, R., 2006, "Unlocking the design potential of rapid

manufacturing," Rapid manufacturing: an industrial revolution

for the digital age.

[5] Uriondo, A., Esperon-Miguez, M., and Perinpanayagam,

S., 2015, "The present and future of additive manufacturing in

the aerospace sector: A review of important aspects,"

Proceedings of the Institution of Mechanical Engineers, Part

G: Journal of Aerospace Engineering, 229(11), pp. 2132-2147.

[6] Wong, K. V., and Hernandez, A. J. I. M. E., 2012, "A

review of additive manufacturing," ISRN Mechanical

Engineering, 2012.

[7] Schmelzle, J., Kline, E. V., Dickman, C. J., Reutzel, E. W.,

Jones, G., and Simpson, T. W., 2015, "(Re) Designing for part

consolidation: understanding the challenges of metal additive

manufacturing," Journal of Mechanical Design, 137(11), p.

111404.

[8] Frey, D., Palladino, J., Sullivan, J., and Atherton, M.,

2007, "Part count and design of robust systems," Systems

engineering, 10(3), pp. 203-221.

[9] Türk, D.-A., Kussmaul, R., Zogg, M., Klahn, C.,

Leutenecker-Twelsiek, B., and Meboldt, M., 2017,

"Composites part production with additive manufacturing

technologies," Procedia CIRP, 66, pp. 306-311.

[10] Booker, J., Swift, K., and Brown, N., 2005, "Designing

for assembly quality: strategies, guidelines and techniques,"

Journal of Engineering design, 16(3), pp. 279-295.

[11] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, revised and

expanded, CRC press.

[12] Combemale, C., Whitefoot, K. S., Ales, L., and Fuchs, E.

R., 2018, "Not All Technological Change is Equal:

Disentangling Labor Demand Effects of Automation and Parts

Consolidation," Available at SSRN 3291686.

[13] Taufik, M., and Jain, P. K., 2013, "Role of build

orientation in layered manufacturing: a review," International

Journal of Manufacturing Technology and Management, 27(1-

3), pp. 47-73.

[14] Jibin, Z., "Determination of optimal build orientation

based on satisfactory degree theory for RPT," Proc. Computer

Aided Design and Computer Graphics, 2005. Ninth

International Conference on, IEEE, p. 6 pp.

[15] Thomas, D. S., and Gilbert, S. W., 2014, "Costs and cost

effectiveness of additive manufacturing," Special Publication,

NIST.

[16] Alexander, P., Allen, S., and Dutta, D., 1998, "Part

orientation and build cost determination in layered

manufacturing," Computer-Aided Design, 30(5), pp. 343-356.

[17] Langelaar, M., 2016, "Topology optimization of 3D selfsupporting structures for additive manufacturing," Additive

Manufacturing, 12, pp. 60-70.

[18] Leary, M., Merli, L., Torti, F., Mazur, M., and Brandt,

M., 2014, "Optimal topology for additive manufacture: a

method for enabling additive manufacture of support-free

optimal structures," Materials & Design, 63, pp. 67


8-690.



[19] Mirzendehdel, A. M., and Suresh, K., 2016, "Support

structure constrained topology optimization for additive

manufacturing," Computer-Aided Design, 81, pp. 1-13.

[20] Paul, R., and Anand, S., 2015, "Optimization of layered

manufacturing process for reducing form errors with minimal

support structures," Journal of Manufacturing Systems, 36, pp.

231-243.

[21] Vanek, J., Galicia, J. A. G., and Benes, B., "Clever

support: Efficient support structure generation for digital

fabrication," Proc. Computer graphics forum, Wiley Online

Library, pp. 117-125.

[22] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, CRC press.

[23] Yang, S., Santoro, F., and Zhao, Y. F., 2018, "Towards a

numerical approach of finding candidates for additive

manufacturing-enabled part consolidation," Journal of

mechanical design, 140(4), p. 041701.

[24] Chadha, C., Crowe, K., Carmen, C., and Patterson, A.,

2018, "Exploring an AM-enabled combination-of-functions

approach for modular product design," Designs, 2(4), p. 37.

[25] Yang, S., Santoro, F., Sulthan, M. A., and Zhao, Y. F.,

2019, "A numerical-based part consolidation candidate

detection approach with modularization considerations,"

Research in Engineering Design, 30(1), pp. 63-83.

[26] Nyaluke, A., Nasser, B., Leep, H. R., and Parsaei, H. R.,

1996, "Rapid prototyping work space optimization,"

Computers and industrial engineering, 31(1-2), pp. 103-106.

[27] Canellidis, V., Dedoussis, V., Mantzouratos, N., and

Sofianopoulou, S., 2006, "Pre-processing methodology for

optimizing stereolithography apparatus build performance,"

Computers in industry, 57(5), pp. 424-436.

[28] Wodziak, J. R., Fadel, G. M., and Kirschman, C., "A

genetic algorithm for optimizing multiple part placement to

reduce build time," Proc. Proceedings of the Fifth

International Conference on Rapid Prototyping, University of

Dayton Dayton, OH, pp. 201-210.

[29] Zhang, X., Zhou, B., Zeng, Y., and Gu, P., 2002, "Model

layout optimization for solid ground curing rapid prototyping

processes," Robotics and Computer-Integrated Manufacturing,

18(1), pp. 41-51.

[30] Hur, S.-M., Choi, K.-H., Lee, S.-H., and Chang, P.-K.,

2001, "Determination of fabricating orientation and packing in

SLS process," Journal of Materials Processing Technology,

112(2-3), pp. 236-243.

[31] Canellidis, V., Giannatsis, J., and Dedoussis, V., 2013,

"Efficient parts nesting schemes for improving

stereolithography utilization," Computer-Aided Design, 45(5),

pp. 875-886.

[32] Zhang, Y., Gupta, R. K., and Bernard, A., 2016, "Twodimensional placement optimization for multi-parts production

in additive manufacturing," Robotics and Computer-Integrated

Manufacturing, 38, pp. 102-117.

[33] Gogate, A., and Pande, S., 2008, "Intelligent layout

planning for rapid prototyping," International Journal of

Production Research, 46(20), pp. 5607-5631.

[34] Wu, S., Kay, M., King, R., Vila-Parrish, A., and Warsing,

D., "Multi-objective optimization of 3D packing problem in

additive manufacturing," Proc. IIE Annual Conference. 

Proceedings, Institute of Industrial and Systems Engineers

(IISE), p. 1485.

[35] Pandey, P. M., Thrimurthulu, K., and Reddy, N. V., 2004,

"Optimal part deposition orientation in FDM by using a

multicriteria genetic algorithm," International Journal of

Production Research, 42(19), pp. 4069-4089.

[36] Thrimurthulu, K., Pandey, P. M., and Reddy, N. V., 2004,

"Optimum part deposition orientation in fused deposition

modeling," International Journal of Machine Tools and

Manufacture, 44(6), pp. 585-594.

[37] Phatak, A. M., and Pande, S. S., 2012, "Optimum part

orientation in rapid prototyping using genetic algorithm,"

Journal of manufacturing systems, 31(4), pp. 395-402.

[38] Huang, R., Ulu, E., Kara, L. B., and Whitefoot, K. S.,

"Cost Minimization in Metal Additive Manufacturing Using

Concurrent Structure and Process Optimization," Proc. ASME

2017 International Design Engineering Technical Conferences

and Computers and Information in Engineering Conference,

American Society of Mechanical Engineers, pp.

V02AT03A030-V002AT003A030.

[39] Johnson, M., and Kirchain, R., 2009, "Quantifying the

effects of parts consolidation and development costs on

material selection decisions: A process-based costing

approach," International Journal of Production Economics,

119(1), pp. 174-186.

[40] Rickenbacher, L., Spierings, A., and Wegener, K., 2013,

"An integrated cost-model for selective laser melting (SLM),"

Rapid Prototyping Journal, 19(3), pp. 208-214.

[41] Ulu, E., Huang, R., Kara, L. B., and Whitefoot, K. S.,

2018, "Concurrent Structure and Process Optimization for

Minimum Cost Metal Additive Manufacturing," Journal of

Mechanical Design.

[42] Baumers, M., Dickens, P., Tuck, C., and Hague, R., 2016,

"The cost of additive manufacturing: machine productivity,

economies of scale and technology-push," Technological

forecasting social change, 102, pp. 193-201.

[43] Dinda, S., Modi, D., Simpson, T. W., Tedia, S., and

Williams, C. B., "Expediting Build Time, Material, and Cost

Estimation for Material Extrusion Processes to Enable Mobile

Applications," Proc. ASME 2017 International Design

Engineering Technical Conferences and Computers and

Information in Engineering Conference, American Society of

Mechanical Engineers, pp. V02AT03A034-V002AT003A034.

[44] Ruffo, M., Tuck, C., and Hague, R., 2006, "Cost

estimation for rapid manufacturing-laser sintering production

for low to medium volumes," Proceedings of the Institution of

Mechanical Engineers, Part B: Journal of Engineering

Manufacture, 220(9), pp. 1417-1427.

[45] Yim, S., and Rosen, D., "Build time and cost models for

additive manufacturing process selection," Proc. ASME 2012

international design engineering technical conferences and

computers and information in engineering conference,

American Society of Mechanical Engineers, pp. 375-382.

[46] Ulu, E., Korkmaz, E., Yay, K., Ozdoganlar, O. B., and

Kara, L. B., 2015, "Enhancing the structural performance of

additively manufactured objects through build orientation

optimization," Journal of Mechanical Design, 137(11), p.

111410


[47] Gong, H., Rafi, K., Gu, H., Starr, T., and Stucker, B.,

2014, "Analysis of defect generation in Ti–6Al–4V parts made

using powder bed fusion additive manufacturing processes,"

Additive Manufacturing, 1, pp. 87-98.

[48] Murr, L. E., Gaytan, S. M., Ramirez, D. A., Martinez, E.,

Hernandez, J., Amato, K. N., Shindo, P. W., Medina, F. R.,

and Wicker, R. B., 2012, "Metal fabrication by additive

manufacturing using laser and electron beam melting

technologies," Journal of Materials Science and Technology,

28(1), pp. 1-14.

[49] Nie, Z., Wang, G., McGuffin-Cawley, J. D., Narayanan,

B., Zhang, S., Schwam, D., Kottman, M., and Rong, Y. K.,

2016, "Experimental Study and Modeling of H13 Steel Deposition Using Laser Hot-Wire Additive Manufacturing," Journal of Materials Processing Technology, 235, pp. 171-186.

[50] Toh, W. Q., Wang, P., Tan, X., Nai, M. L. S., Liu, E., and

Tor, S. B., 2016, "Microstructure and wear properties of

electron beam melted Ti-6Al-4V parts: A comparison study

against as-cast form," Metals, 6(11), p. 284.

[51] Inc., S., 2015, "Advantages of Wire AM vs. Powder AM," http://www.sciaky.com/additive-manufacturing/wiream-vs-powder-am.

[52] Gockel, J., Beuth, J., and Taminger, K., 2014, "Integrated control of solidification microstructure and melt pool dimensions in electron beam wire feed additive manufacturing of Ti-6Al-4V," Additive Manufacturing, 1-4, pp. 119-126.

[53] Chen, N., and Frank, M. C., "A method for metal AM support structure design to facilitate removal," Proc. Solid Freeform Fabrication, pp. 1516-1524.

[54] Vaidya, R., and Anand, S. J. P. M., 2016, "Optimum support structure generation for additive manufacturing using unit cell structures and support removal constraint," 5, pp.1043-1059.



Additive Manufacturing - Optimization of Part Consolidation for Minimum Production Costs and Production Time

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot

Mechanical Engineering, Carnegie Mellon University

Engineering and Public Policy, Carnegie Mellon University

Pittsburgh, PA, USA

https://meche.engineering.cmu.edu/_files/images/research-groups/whitefoot-group/NJKW-OptPartConsolidation-JMD.pdf





Selected References

[1] Yang, S., Talekar, T., Sulthan, M. A., and Zhao, Y. F., 2017, "A Generic Sustainability Assessment Model towards Consolidated Parts Fabricated by Additive Manufacturing Process," Procedia manufacturing, 10, pp. 831-844.

[2] Yang, S., Tang, Y., and Zhao, Y. F., 2015, "A new part consolidation method to embrace the design freedom of additive manufacturing," Journal of Manufacturing Processes, 20, pp. 444-449.

[3] Yang, S., and Zhao, Y. F., 2015, "Additive manufacturing enabled design theory and methodology: a critical review," The International Journal of Advanced Manufacturing Technology, 80(1), pp. 327-342.

[7] Schmelzle, J., Kline, E. V., Dickman, C. J., Reutzel, E. W., Jones, G., and Simpson, T. W., 2015, "(Re) Designing for part consolidation: understanding the challenges of metal additive manufacturing," Journal of Mechanical Design, 137(11), p.111404.

[8] Frey, D., Palladino, J., Sullivan, J., and Atherton, M., 2007, "Part count and design of robust systems," Systems engineering, 10(3), pp. 203-221.

[9] Türk, D.-A., Kussmaul, R., Zogg, M., Klahn, C., Leutenecker-Twelsiek, B., and Meboldt, M., 2017,

"Composites part production with additive manufacturing technologies," Procedia CIRP, 66, pp. 306-311.

[10] Booker, J., Swift, K., and Brown, N., 2005, "Designing for assembly quality: strategies, guidelines and techniques," Journal of Engineering design, 16(3), pp. 279-295.

[11] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001, Product Design for Manufacture and Assembly, revised and expanded, CRC press.

[12] Combemale, C., Whitefoot, K. S., Ales, L., and Fuchs, E. R., 2018, "Not All Technological Change is Equal: Disentangling Labor Demand Effects of Automation and Parts Consolidation," Available at SSRN 3291686.

[13] Taufik, M., and Jain, P. K., 2013, "Role of build orientation in layered manufacturing: a review," International Journal of Manufacturing Technology and Management, 27(1-3), pp. 47-73.

[14] Jibin, Z., "Determination of optimal build orientation based on satisfactory degree theory for RPT," Proc. Computer Aided Design and Computer Graphics, 2005. Ninth International Conference on, IEEE, p. 6 pp.

[15] Thomas, D. S., and Gilbert, S. W., 2014, "Costs and cost effectiveness of additive manufacturing," Special Publication, NIST.

[16] Alexander, P., Allen, S., and Dutta, D., 1998, "Part orientation and build cost determination in layered manufacturing," Computer-Aided Design, 30(5), pp. 343-356.

[17] Langelaar, M., 2016, "Topology optimization of 3D selfsupporting structures for additive manufacturing," Additive Manufacturing, 12, pp. 60-70.

[18] Leary, M., Merli, L., Torti, F., Mazur, M., and Brandt, M., 2014, "Optimal topology for additive manufacture: a method for enabling additive manufacture of support-free optimal structures," Materials & Design, 63, pp. 678-690.

[19] Mirzendehdel, A. M., and Suresh, K., 2016, "Support

structure constrained topology optimization for additive

manufacturing," Computer-Aided Design, 81, pp. 1-13.

[20] Paul, R., and Anand, S., 2015, "Optimization of layered

manufacturing process for reducing form errors with minimal

support structures," Journal of Manufacturing Systems, 36, pp.

231-243.

[21] Vanek, J., Galicia, J. A. G., and Benes, B., "Clever

support: Efficient support structure generation for digital

fabrication," Proc. Computer graphics forum, Wiley Online

Library, pp. 117-125.

[22] Boothroyd, G., Dewhurst, P., and Knight, W. A., 2001,

Product Design for Manufacture and Assembly, CRC press.

[23] Yang, S., Santoro, F., and Zhao, Y. F., 2018, "Towards a

numerical approach of finding candidates for additive

manufacturing-enabled part consolidation," Journal of

mechanical design, 140(4), p. 041701.

[24] Chadha, C., Crowe, K., Carmen, C., and Patterson, A.,

2018, "Exploring an AM-enabled combination-of-functions

approach for modular product design," Designs, 2(4), p. 37.

[25] Yang, S., Santoro, F., Sulthan, M. A., and Zhao, Y. F.,

2019, "A numerical-based part consolidation candidate

detection approach with modularization considerations,"

Research in Engineering Design, 30(1), pp. 63-83.

[26] Nyaluke, A., Nasser, B., Leep, H. R., and Parsaei, H. R.,

1996, "Rapid prototyping work space optimization,"

Computers and industrial engineering, 31(1-2), pp. 103-106.

[27] Canellidis, V., Dedoussis, V., Mantzouratos, N., and

Sofianopoulou, S., 2006, "Pre-processing methodology for

optimizing stereolithography apparatus build performance,"

Computers in industry, 57(5), pp. 424-436.

[28] Wodziak, J. R., Fadel, G. M., and Kirschman, C., "A

genetic algorithm for optimizing multiple part placement to

reduce build time," Proc. Proceedings of the Fifth

International Conference on Rapid Prototyping, University of

Dayton Dayton, OH, pp. 201-210.

[29] Zhang, X., Zhou, B., Zeng, Y., and Gu, P., 2002, "Model

layout optimization for solid ground curing rapid prototyping

processes," Robotics and Computer-Integrated Manufacturing,

18(1), pp. 41-51.

[30] Hur, S.-M., Choi, K.-H., Lee, S.-H., and Chang, P.-K.,

2001, "Determination of fabricating orientation and packing in

SLS process," Journal of Materials Processing Technology,

112(2-3), pp. 236-243.

[31] Canellidis, V., Giannatsis, J., and Dedoussis, V., 2013,

"Efficient parts nesting schemes for improving

stereolithography utilization," Computer-Aided Design, 45(5),

pp. 875-886.

[32] Zhang, Y., Gupta, R. K., and Bernard, A., 2016, "Twodimensional placement optimization for multi-parts production

in additive manufacturing," Robotics and Computer-Integrated

Manufacturing, 38, pp. 102-117.

[33] Gogate, A., and Pande, S., 2008, "Intelligent layout

planning for rapid prototyping," International Journal of

Production Research, 46(20), pp. 5607-5631.

[34] Wu, S., Kay, M., King, R., Vila-Parrish, A., and Warsing,

D., "Multi-objective optimization of 3D packing problem in

additive manufacturing," Proc. IIE Annual Conference. 

Proceedings, Institute of Industrial and Systems Engineers

(IISE), p. 1485.

[35] Pandey, P. M., Thrimurthulu, K., and Reddy, N. V., 2004,

"Optimal part deposition orientation in FDM by using a

multicriteria genetic algorithm," International Journal of

Production Research, 42(19), pp. 4069-4089.

[36] Thrimurthulu, K., Pandey, P. M., and Reddy, N. V., 2004,

"Optimum part deposition orientation in fused deposition

modeling," International Journal of Machine Tools and

Manufacture, 44(6), pp. 585-594.

[37] Phatak, A. M., and Pande, S. S., 2012, "Optimum part

orientation in rapid prototyping using genetic algorithm,"

Journal of manufacturing systems, 31(4), pp. 395-402.

[38] Huang, R., Ulu, E., Kara, L. B., and Whitefoot, K. S.,

"Cost Minimization in Metal Additive Manufacturing Using

Concurrent Structure and Process Optimization," Proc. ASME

2017 International Design Engineering Technical Conferences

and Computers and Information in Engineering Conference,

American Society of Mechanical Engineers, pp.

V02AT03A030-V002AT003A030.

[39] Johnson, M., and Kirchain, R., 2009, "Quantifying the

effects of parts consolidation and development costs on

material selection decisions: A process-based costing

approach," International Journal of Production Economics,

119(1), pp. 174-186.

[40] Rickenbacher, L., Spierings, A., and Wegener, K., 2013,

"An integrated cost-model for selective laser melting (SLM),"

Rapid Prototyping Journal, 19(3), pp. 208-214.

[41] Ulu, E., Huang, R., Kara, L. B., and Whitefoot, K. S.,

2018, "Concurrent Structure and Process Optimization for

Minimum Cost Metal Additive Manufacturing," Journal of

Mechanical Design.

[42] Baumers, M., Dickens, P., Tuck, C., and Hague, R., 2016,

"The cost of additive manufacturing: machine productivity,

economies of scale and technology-push," Technological

forecasting social change, 102, pp. 193-201.

[43] Dinda, S., Modi, D., Simpson, T. W., Tedia, S., and

Williams, C. B., "Expediting Build Time, Material, and Cost

Estimation for Material Extrusion Processes to Enable Mobile

Applications," Proc. ASME 2017 International Design

Engineering Technical Conferences and Computers and

Information in Engineering Conference, American Society of

Mechanical Engineers, pp. V02AT03A034-V002AT003A034.

[44] Ruffo, M., Tuck, C., and Hague, R., 2006, "Cost

estimation for rapid manufacturing-laser sintering production

for low to medium volumes," Proceedings of the Institution of

Mechanical Engineers, Part B: Journal of Engineering

Manufacture, 220(9), pp. 1417-1427.

[45] Yim, S., and Rosen, D., "Build time and cost models for

additive manufacturing process selection," Proc. ASME 2012

international design engineering technical conferences and

computers and information in engineering conference,

American Society of Mechanical Engineers, pp. 375-382.

[46] Ulu, E., Korkmaz, E., Yay, K., Ozdoganlar, O. B., and

Kara, L. B., 2015, "Enhancing the structural performance of

additively manufactured objects through build orientation

optimization," Journal of Mechanical Design, 137(11), p.

111410


[47] Gong, H., Rafi, K., Gu, H., Starr, T., and Stucker, B.,

2014, "Analysis of defect generation in Ti–6Al–4V parts made

using powder bed fusion additive manufacturing processes,"

Additive Manufacturing, 1, pp. 87-98.

[48] Murr, L. E., Gaytan, S. M., Ramirez, D. A., Martinez, E.,

Hernandez, J., Amato, K. N., Shindo, P. W., Medina, F. R.,

and Wicker, R. B., 2012, "Metal fabrication by additive

manufacturing using laser and electron beam melting

technologies," Journal of Materials Science and Technology,

28(1), pp. 1-14.

[49] Nie, Z., Wang, G., McGuffin-Cawley, J. D., Narayanan,

B., Zhang, S., Schwam, D., Kottman, M., and Rong, Y. K.,

2016, "Experimental Study and Modeling of H13 Steel

Deposition Using Laser Hot-Wire Additive Manufacturing,"

Journal of Materials Processing Technology, 235, pp. 171-

186.

[50] Toh, W. Q., Wang, P., Tan, X., Nai, M. L. S., Liu, E., and

Tor, S. B., 2016, "Microstructure and wear properties of

electron beam melted Ti-6Al-4V parts: A comparison study

against as-cast form," Metals, 6(11), p. 284.

[51] Inc., S., 2015, "Advantages of Wire AM vs. Powder

AM," http://www.sciaky.com/additive-manufacturing/wiream-vs-powder-am.

[52] Gockel, J., Beuth, J., and Taminger, K., 2014, "Integrated

control of solidification microstructure and melt pool

dimensions in electron beam wire feed additive manufacturing

of Ti-6Al-4V," Additive Manufacturing, 1-4, pp. 119-126.

[53] Chen, N., and Frank, M. C., "A method for metal AM

support structure design to facilitate removal," Proc. Solid

Freeform Fabrication, pp. 1516-1524.

[54] Vaidya, R., and Anand, S. J. P. M., 2016, "Optimum

support structure generation for additive manufacturing using

unit cell structures and support removal constraint," 5, pp.

1043-1059.

[55] Jebari, K., and Madiafi, M., 2013, "Selection methods for

genetic algorithms," International Journal of Emerging

Sciences, 3(4), pp. 333-344.

[56] Inc., S., 2016, "EBAM 300 Series,"

https://www.aniwaa.com/product/3d-printers/sciaky-ebam300-series/.


Product Industrial Engineering Section - Value Engineering Section - Effective Organization

 

Performance orientation, focus on the specified performance of engineering products, machines and equipment and even factories,  received the maximum emphasis in american engineering organizations for many many years as customers will not buy a product that does not perform. But the cost aspect did not receive the adequate attention despite the effort of American Society of Mechanical Engineering since its founding.  F.W. Taylor made significant contribution to cost reduction through productivity improvement of resources, machines and men. He advocated that science of working of machines and men is to be developed and productivity science developed in that endeavor will increase production from the same machine and man and will give lower cost of production and higher wages to workmen. He explained his experiments, theory and the systems implemented by him in four important publications (System for increasing productivity - Elementary Rate Fixing Department (Piece Rates 1895), Shop Management (1903), The Art of Metal Cutting (1907) and Scientific Management (1911)).


L.D. Miles in his 1961 book reiterates the same. The company managements have not given adequate attention to managing costs despite the promotion of the idea efficiency counsel by Harrington Emerson his 12 principles of efficiency. Value engineers are specially trained men in value work using an appropriate set of techniques and management has to employ them and provide their internal consulting to all decision makers related to the products. It is not that all engineers and managers should not be given basic value engineering education and they have to be encouraged to take rational value and cost decisions. But specialist value engineers are required to maximize the value of value analysis and engineering methods available for implementation.


In 1961, Miles wrote that in businesses below $200,000 per year, the owner should get himself trained in value analysis and engineering. In businesses of $200,000 to $2 million, one among the top three needs to be trained in value engineering.

In businesses with sales of more than $2 million, one value engineer can be appointed. Before appointment, the management has adequate understanding and even practice of value engineering in the previous years. Real attention to the newly appointed value engineer and his functioning has to be given by the management till his work is accepted by every phase of the business especially engineering, manufacturing and purchasing.


Value Engineering Department

Three Skills of Value Engineering: Value engineering requires skill in engineering ideas (design of mechanisms and machine elements), in manufacturing methods and processes, and in the very extensive field of using vendor and specialty-vendor competence.

When two value engineers are working, both must act as independent internal consultants to specific decision makers and they both have to act as consultants to each other. One of them may be senior and has oversight responsibility for the other. But still, it is not assistant relationship. Both are independent and must have independent projects.

Miles said, three men constitute the smallest efficient operating unit for value work. Each consultant may have a special depth in one of the three value analysis and engineering  skills. This will ensure that in each value project, each of the skills is fully utilized. But still each consultant needs to have independent projects and he can take the consultancy support from the other two value engineering team members.

In the case of four member team, one may have management responsibility for the whole team.





Ud. 26.11.2023

Pub. 15.11.2023





Engineering Optimization - Industrial Engineering Optimization (IEOR) - Introduction

Lesson 373  of  Industrial Engineering ONLINE Course -  #Optimization Module.



Optimization - Principle of Industrial Engineering


TAYLOR - NARAYANA RAO PRINCIPLES OF INDUSTRIAL ENGINEERING

https://www.proquest.com/docview/1951119980


Optimization: Maximize the benefit. Minimize the cost. Maximize the difference.

Each engineering system design idea needs to be optimized to get the best desired output and then only alternatives are to be compared for selection of the best alternative.


IE alternatives, that is alternative engineering solutions, need to be optimized. The discrete or continuous values which are possible due to various engineering elements used have to be operated at values that give maximum desired benefit.


Industrial engineers develop engineering modifications to existing facilities and processes to increase productivity while maintaining current effectiveness intact. In the process chart based process improvement, they identify operations - material processing, inspection, material handling, and storage to improve engineering of each of them to improve performance.


Industrial Engineering Optimization


Engineering optimization is development of mathematical models of engineering decisions and mathematically determining desired maximum or minimum values of objective functions. Industrial engineers have to convert their engineering change ideas into mathematical models and find the best solution or optimal solution. But in industrial engineering studies, the first investigation is to find engineering changes that are possible. Then both the existing configuration and new possible configuration are subjected to engineering optimization procedure to find the best result and then a decision is taken to stick to the current solution as optimized or new solution as optimized.



"The ever-increasing demand on engineers to lower production costs to withstand competition has prompted engineers to look for rigorous methods of decision making, such as optimization methods, to design and produce products both economically and efficiently. Optimization techniques, having reached a degree of maturity over the past several years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems being solved using optimization techniques are also increasing. Optimization methods, coupled with modern tools of computer-aided design, are also being used to enhance the creative process of conceptual and detailed design of engineering systems." S.S. Rao in Preface to the book - Engineering Optimization: Theory and Practice, 3rd Edition, Wiley Interscience Publication, New York, 1996.


Table of Contents 


Ch. 1 and  2 in detail


1. Introduction to Optimization .......................................... 1 

1.1 Introduction ......................................................................... 1 

1.2 Historical Development ....................................................... 3 

1.3 Engineering Applications of Optimization .......................... 4 

1.4 Statement of an Optimization Problem .............................. 5 

1.4.1 Design Vector .................................................. 6 

1.4.2 Design Constraints .......................................... 7 

1.4.3 Constraint Surface ........................................... 8 

1.4.4 Objective Function ........................................... 9 

1.4.5 Objective Function Surfaces ............................ 10 

1.5 Classification of Optimization Problems ............................. 15 

1.5.1 Classification Based on the Existence of Constraints ...................................................... 15 

1.5.2 Classification Based on the Nature of the Design Variables .............................................. 15 

1.5.3 Classification Based on the Physical Structure of the Problem .................................. 17 

1.5.4 Classification Based on the Nature of the Equations Involved .......................................... 20 

1.5.5 Classification Based on the Permissible Values of the Design Variables ........................ 31 

1.5.6 Classification Based on the Deterministic Nature of the Variables .................................... 32 

1.5.7 Classification Based on the Separability of the Functions ................................................... 34 

1.5.8 Classification Based on the Number of Objective Functions ......................................... 36 

1.6 Optimization Techniques .................................................... 38 

1.7 Engineering Optimization Literature ................................... 39 

References and Bibliography ........................................................ 40 

Review Questions ......................................................................... 44 

Problems ....................................................................................... 46 



2. Classical Optimization Techniques ............................... 65 

2.1 Introduction ......................................................................... 65 

2.2 Single-Variable Optimization .............................................. 65 

2.3 Multivariable Optimization with No Constraints ................. 71 

2.3.1 Semidefinite Case ............................................ 77 

2.3.2 Saddle Point .................................................... 77 

2.4 Multivariable Optimization with Equality Constraints ......... 80 

2.4.1 Solution by Direct Substitution ......................... 80 

2.4.2 Solution by the Method of Constrained Variation .......................................................... 82 

2.4.3. Solution by the Method of Lagrange Multipliers ........................................................ 91 

2.5 Multivariable Optimization with Inequality Constraints ................................................................ 100 

2.5.1 Kuhn-Tucker Conditions .................................. 105 

2.5.2 Constraint Qualification .................................... 105 

2.6 Convex Programming Problem .......................................... 112 

References and Bibliography ........................................................ 112 

Review Questions ......................................................................... 113 

Problems ................................




Play List

https://www.youtube.com/watch?v=QTi0Mv7DGDs&list=PL7XCYAQpq_DPkyrj-LEi5Gn73Xx_u-J1Q

Introduction to numerical methods to solve single objective non-linear optimization problems. 


(Lecture delivered by Dr. Saroj Kumar Patel, Professor, Mechanical Engineering Department, NIT Rourkela to its postgraduate  students on the subject ME601: Optimization Methods in Engineering Design  and video made with support of A.N. Khosla Centre for Technology Enabled Learning (ANKCTEL), NIT Rourkela)


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https://www.youtube.com/watch?v=QTi0Mv7DGDs    

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Optimization methods are extensively used in those engineering design problems where the emphasis is on maximizing or minimizing a certain goal. Optimization algorithms are routinely used in aerospace design activities to minimize the overall weight. The minimization of the weight of aircraft components is of major concern to aerospace designers. Chemical engineers, on the other hand, are interested in designing and operating a process plant for least cost of operation for the required rate of production. Mechanical engineers design mechanical components for the purpose of achieving either a minimum manufacturing cost or a maximum component life.  Civil engineers are involved in designing buildings, bridges, dams, and other structures in order to achieve a minimum overall cost or maximum safety or both. Communication   engineers are interested in designing communication networks so as to achieve minimum time for communication from one node to another.

All the above-mentioned tasks involve either minimization or maximization (collectively known as optimization) of an objective. 

This lesson is part of Product Industrial Engineering.

The major techniques that constitute  Product Industrial Engineering. 

1. Value Analysis and Engineering

2. Design for Manufacturing

3. Design for Assembly

4. Design for Additive Manufacturing

5. Design to Cost

6. Design to Value

7. Design to Target Cost

8. Engineering Product Design Optimization

9. Six Sigma for Design Improvement - Robust Design (Video)

10. Life Cycle Cost Analysis based redesign

11. Design analysis done during Process Industrial Engineering

12. Lean Product Design Concept


Product Redesign to Reduce Cost - Product Industrial Engineering. 

PRODUCT INDUSTRIAL ENGINEERING. MODERN INDUSTRIAL ENGINEERING.

https://nraoiekc.blogspot.com/2012/09/product-design-industrial-engineering.html


Professors - Engineering Optimization

Panos Y. Papalambros

Panos Y. Papalambros is the James B. Angell Distinguished University Professor Emeritus and the Donald C. Graham Professor Emeritus of Engineering; Professor Emeritus of Mechanical Engineering; Professor Emeritus of Integrative Systems and Design; Professor Emeritus of Architecture; and Professor Emeritus of Art and Design -- all at the University of Michigan. His primary interest is in mathematical design optimization for product development and complex systems design with emphasis on sustainability, including automotive systems,  electric and hybrid powertrains, structural design, modularity and product platforms, and multi-vehicle systems -- linking design decisions with defense, commercial, and regulatory decisions to derive business and government policies. His research in design preference elicitation, including machine learning and crowdsourcing, has linked engineering design with computing, marketing, and behavioral and social sciences models. 


With D. J. Wilde, he co-authored the standard textbook Principles of Optimal Design: Modeling and Computation.


https://sites.google.com/umich.edu/pyp/biosketch?authuser=0


CMU - Prof. Conrad Tucker - Mech Engg.

Prof. Tucker has IE degree

http://meche-test.engineering.cmu.edu/faculty/aipex.html

https://scholar.google.com/citations?user=8N6uFIkAAAAJ&hl=en

Special Issue: Machine Learning for Engineering Design

https://ideal.umd.edu/assets/pdfs/2019_ml-eng-design-editorial.pdf






Interesting search results are available for "Engineering Optimization - Introduction"


Ud. 26.11.2023, 13.3.2022

Pub: 3.2.2022

Saturday, November 25, 2023

Toyota Industrial Engineering - 8 Step Model

Clarify the problem

Breakdown the problem

Set a target

Analyze the root cause

Develop countermeasures

See countermeasures through

Evaluate both results and process

Standardize successful processes

https://blog.gembaacademy.com/2009/02/22/tbp_toyota_business_practice/


Toyota Industrial Engineering - 8 Step Model - In Detail


Clarify the problem

Understand the need and scope of the industrial engineering study. Discuss with many. Shop floor operators, supervisors, engineers and managers. Collect the drawings and process plans. Study the process on the shop floor. Prepare process charts for the current practice.

Breakdown the problem

Identify the operations. Identify elements in each operation. Collect data for each operation in operation information sheets.

Analyze the root cause

Analyze the reasons for the problems or scope of improvement based on the current technologies and known best practices.

Set a target

Develop targets for improvement to guide design and development of countermeasures to the problem or improvement.

Develop countermeasures

Design and develop the countermeasures. Detailed engineering can be done by IE department or can be given to internal engineering departments or can be given to external consultants.

See countermeasures through

Do the trial of new methods.

Evaluate both results and process

Assess the new process. Assess the results. Take the opinions of all stakeholders.

Standardize successful processes

Develop the new process and make it the new standard process.

Continuous improvements to the new standard process keep on occurring based on the ideas of operations personnel.  Major studies by IE teams also keep taking place on periodic basis.




Tracy Richardson - The Toyota Engagement Equation - Book Information

 


https://sites.google.com/state.co.us/process-improvement/tools-resources/the-toyota-engagement-equation


https://www.youtube.com/watch?v=fh_6wpQkQRw


https://blog.gembaacademy.com/2009/02/22/tbp_toyota_business_practice/


https://books.google.com/books/about/The_Toyota_Engagement_Equation_How_to_Un.html?id=GPDWDgAAQBAJ


https://www.linkedin.com/posts/traceyrichardson_book-toyota-engagement-activity-7011440803529072640-sspe/

https://www.planet-lean.com/articles/tracey-richardson-toyota-standards


Product Industrial Engineering

New. Popular E-Book on IE,

Introduction to Modern Industrial Engineering.  #FREE #Download.

In 0.1% on Academia.edu. 3600+ Downloads so far.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0

Lesson 9 & 231 of  Industrial Engineering ONLINE Course   - Introduction to Industrial Engineering Module



Productivity Engineering - Principle of Industrial Engineering


Industrial engineering is concerned with redesign of engineering systems with a view to improve their productivity. Industrial engineers analyze productivity of each  resource used in engineering systems and redesign as necessary to improve productivity.

 Industrial engineering is continuous redesign of products and processes periodically as well as based on events at any time an opportunity arises. Taylor's articles explain the steps required to do industrial engineering. Thinking based on engineering and productivity orientation and then the experiments or prototyping to validate the idea. 

It has to be ensured that the increase in productivity due to the use of low-cost materials, processes and increasing speed of machines and men, should not lead to any decrease in quality of the output and or any desirable performance or aesthetic feature of the product or process. Both Taylor who promoted process industrial engineering and L.D. Miles, who promoted product industrial engineering - value engineering insisted on the condition.

Similarly, operators should not feel any discomfort, not have any health problems or safety issues in the redesigned more productive processes. Gilbreths had done considerable work on this aspect.

Products and Process are two important outputs of engineering activity.

Levels of Industrial Engineering in an Organization


Industrial Engineering Strategy - Enterprise Level Industrial Engineering

Policy Decisions by Top Management: Starting and Expanding IE Department, Approval of Productivity Improvement Project Portfolio as part of Capital Budgeting of the Company, Approving Productivity Policy, Setting Productivity and Cost Reduction Goals. Setting Employee related comfort, health and safety goals. Incentive income policy making.

https://nraoiekc.blogspot.com/2014/11/industrial-engineering-strategy.html


Product Industrial Engineering

Products and Process are two important outputs of engineering activity.

Product Redesign to Reduce Cost is Product Industrial Engineering.

Facilities Industrial Engineering

Facilities are used by processes. Facilities are common to processes. Taylor clearly mentioned in his "Piece Rates - Elementary Rate Fixing System" paper that he has to make modifications to all machines to increase productivity of his machine shop. Toyota even today carries out gradual improvements to the machines in the direction of autonomation. Machines are continuously improved. Period layout studies and readjustments are another example of facilities industrial engineering. 5S that demands upkeep of facilities is another example of facilities IE when it is implemented for the first time and proposed and initiated by the IE department. Thereafter it becomes the activity of operations management.

https://nraoiekc.blogspot.com/2020/05/facilities-industrial-engineering.html


Process Industrial Engineering - Process Machine Effort Industrial Engineering - Process Human Effort Industrial Engineering. Product Industrial Engineering.

Process industrial engineering is the popular method of industrial engineering. But, the process chart method was promoted by Motion Study books. It will be if industrial engineers identify that process industrial engineering is a higher levels activity and machine work study and human work study, that is motion study are part of process studies.

Like processes, multiple products are produced using common facilities.

https://nraoiekc.blogspot.com/2021/11/process-industrial-engineering-process.html

Product Industrial Engineering

Operation Industrial Engineering.

Process chart is a condensed version that show the entire process of producing a full product and the production of each part. The process chart is composed by symbols representing 5 operations. Operation - Inspection - Transport - Temporary Delay (WIP) - Permanent Storage (controlled store). Using process chart, the sequence of operations can be investigated and changed for more benefit. But each operation needs to be improved. It is termed simplification in process chart analysis. To do simplification information on each operation has to be collected in operation information sheets and they have to be analyzed in operation analysis sheets (Stegemerten and Maynard)

https://nraoiekc.blogspot.com/2013/11/approach-to-operation-analysis-as-step.html


Element Level Analysis in Industrial Engineering

Elements are in Operations - We can understand the term "element" from the subject "Design of Machine Elements". Each engineering product has elements. Similarly each operation, that is part of a process has elements. Some are related to machines and tools used in the process. Some are related to human operators. Some are related to working conditions. Some are related to the work being done. Taylor first named the productivity department as "Elementary Rate Fixing Department." It has to improve each and every element in task and determine the output possible for unit time in the work element. The time allowed for that element for a piece or batch is determined through these elementary standard times or allowed times.



Product Industrial Engineering


This article with the title "Product Design Industrial Engineering  was first published on 29  September 2012.

I now term this activity as Product Industrial Engineering. I included it in the focus areas of industrial engineering. In the early days of industrial engineering only some peripheral features of the product that facilitated material handling and tolerances were evaluated by industrial engineering for redesign. But Value Engineering, developed by L.D. Miles brought out the scope for radical redesign of the products and components to do cost reduction without affecting the quality, functions or features and customer requirements. It brought out the waste being present in the design done with effectiveness or performance as the focus at the start of a new product introduction by companies. So it called for cyclical approach of effectiveness design followed by efficiency design and also a periodic efficiency design to incorporate recent knowledge regarding efficiency improvement or cost reduction and developments in engineering and technology. Product industrial engineering became an important focus area of industrial engineering and many others techniques facilitating product industrial engineering were developed by industrial engineers and other engineers and managers.

The major techniques that constitute product industrial engineering are:

1. Value Analysis and Engineering
2. Design for Manufacturing
3. Design for Assembly
4. Design for Additive Manufacturing
5. Design to Cost
6. Design to Value
7. Design to Target Cost
8. Engineering Product Design Optimization
9. Six Sigma for Design Improvement - Robust Design (Video)
10. Life Cycle Cost Analysis based redesign
11. Design analysis done during Process Industrial Engineering
12. Lean Product Design Concept

In the product industrial engineering module of IEKC IE Online Course, value engineering will be discussed in detail and other techniques will also be introduced. More detailed articles will be developed in this blog for more specialised information.

Definitions of IE and IE Design for "X"


Many designs for "X" fall under the domain of industrial engineering as per the definition of of IE.

AIIE


“Industrial engineering is concerned with the design, improvement, and installation of integrated systems of men, materials, and equipment. It draws upon specialized knowledge and skill in the mathematical, physical, and social sciences together with the principles and methods of engineering analysis and design, to specify, predict, and evaluate the results to be obtained from such systems.” (AIIE, 1955). [4]

IE Design for "X": Industrial engineering aims to specify, predict, and evaluate the results to be obtained from such systems. Hence the special and unique role of IE is results or performance obtained from systems. Productivity, Time  and cost are the original performance dimensions focused by the IE discipline. Slowly more got added. Still more can be added. 

Narayana Rao (2009)


"Industrial Engineering is Human Effort Engineering and System Efficiency Engineering.

The above definition indicates that all efficiency related dimensions are the focus of the industrial engineer.


Engineering in Industrial Engineering:

The foundation of IE is engineering and its primary area of application is engineering. IEs have to keep themselves abreast of developments in engineering on a continuous basis.

Product Industrial Engineering

_________________________

__________________________
Presented on 13 December 2019

Value Engineering



Value Engineering - Introduction


________________

________________


Value Engineering In Product Design To Improve World Competitive Position
L.D. Miles, 1963
http://minds.wisconsin.edu/handle/1793/4482


MANAGING VALUE ENGINEERING IN NEW PRODUCT DEVELOPMENT
Don J. Gerhardt, CVS, PhD, PE, Ingersoll Rand
2006
http://value-eng.org/knowledge_bank/attachments/200611.pdf




7 Wastes in Engineering Design

http://ketiv.com/files/articles/pdfs/Simms_The%20Seven%20Wastes_2007.10.pdf


1. Defects
Improper information on a drawing, missing views and incomplete information are all defects that can be avoided through document standardization and proper training of engineering staff.

2. Overproduction
For the engineering department, it would be the unnecessary documentation (modeling or drawing) of a part before it is needed.

3. Inventory
If we draw something before it is actually needed, we are adding to that inventory, thereby incurring waste.

4. Transportation
Movement of drawings and drawing change orders is often called “transportation” because carrying, mailing, or even e-mailing documents stop the design process and add time to the overall design cycle.

5. Waiting
Waiting refers to the time spent by the workers or engineers literally waiting for their work to arrive.

6. Motion
Even the extra step of printing to a PDF and e-mailing it as an attachment is a wasteful operation.

7. Overprocessing
It is  common to see manufacturers using software that has function (and cost) beyond what is needed which is a waste.


Improving Design


www.ceet.niu.edu/cecourse/Regina_problem_domain.ppt


Tolerance Analysis


Tolerance analysis - Wikipedia
Tolerance analysis - Sigmetrix


Design Issues in Mechanical Tolerance Analysis
K. W. Chase
Mechanical Engineering Department
Brigham Young University
Provo, UT 84602

W. H. Greenwood
Sandia National Laboratories
Albuquerque, NM 87185
http://adcats.et.byu.edu/Publication/87-5/WAM2.html

Design to Cost Analysis




ACHIEVING  TARGET  COST  /DESIGN-TO-COST  OBJECTIVES
Kenneth Crow, DRM Associates
http://www.npd-solutions.com/dtc.html

Design to Standards Analysis


Design to standards - Wikipedia article
http://en.wikipedia.org/wiki/Design_to_standards

Design for Manufacturability


Design for Manufacturability: How to Use Concurrent Engineering to Rapidly Develop Low-Cost, High-Quality Products for Lean Production - David M. Anderson - 2014 Book Information

Engineering Economics Analysis


Engg. Economics - Chemical Engineering
http://faculty.kfupm.edu.sa/CHE/alamer/ChE_425/CHE_425_First_introductory_Lecture.pdf


Statistical Tools for Design



Statistical Tools for the Rapid Development & Evaluation of
High-Reliability Products
http://www.stat.iastate.edu/preprint/articles/1995-07.pdf


Optimization and OR in Product Design



Quantitative methods to produce optimal designs.

Design of Experiments
Response Surface Methods
Multi-Response Optimization
Robust Design
Reliability/Weibull Analysis
Hypothesis Testing
Failure Mode and Effects Analysis (FMEA)
Data Analysis
Statistical Modeling

A Systematic Optimization Design Method for Complex Mechatronic Products Design and Development
Jie Jiang, Guofu Ding, Jian Zhang, Yisheng Zou, and Shengfeng Qin
Mathematical Problems in Engineering
Volume 2018, Article ID 3159637, 14 pages
https://www.hindawi.com/journals/mpe/2018/3159637/

A framework for optimal design of complex products
Authors: Deyi Xue, David Imaniyan
Procedia CIRP
Volume 70, 2018, Pages 416-421
https://www.sciencedirect.com/science/article/pii/S221282711830369X

OPTIMIZATION OF PRODUCT DESIGN THROUGH QUALITY FUNCTION DEPLOYMENT AND ANALYTICAL HIERARCHY PROCESS:  CASE STUDY OF A CERAMIC WASHBASIN
2011
http://jfa.arch.metu.edu.tr/archive/0258-5316/2011/cilt28/sayi_1/1-22.pdf

Design Optimization Practice in Product Development
Panos Y. Papalambros, 2002
https://pdfs.semanticscholar.org/8141/1a46103a3ed9674c3241e5afab68418f9290.pdf

Optimization - Finishing touch in product design
http://www.ricardo.com/Documents/Downloads/pdf/wave_finishing_touch.pdf

An Optimization Framework for Product Design
Leyuan Shi
Qun Chen
(Department of Industrial Engineering, University of Wisconsin-Madison, Madison, Wisconsin )

Sigurdur Ólafsson
(Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, Iowa )
http://mansci.journal.informs.org/content/47/12/1681.abstract
https://ideas.repec.org/a/inm/ormnsc/v47y2001i12p1681-1692.html

I am a happy. Prof. Beth Cudney, Ph.D, Professor of Data Analytics, Maryville University liked my comment. 
"Industrial engineering inputs to the product development process are important. Product industrial engineering makes significant contribution to product development."
on the post: 



Degree in Industrial Engineering and Product Design

Ubiquity of Industrial Engineering Principle of  Industrial Engineering

Industrial Engineering is applicable to all branches of engineering. IE is applicable to all engineering products of various engineering branches.

An early article by Taylor describes and illustrates the productivity engineering of belting system based on the cost data accumulated over a period of 9 years (Industrial Engineering of Belting - 1893). I saw an article on industrial engineering with the title "continuous reengineering." I agree with the term and promote the term.

Accompanying Case Study: Value Analysis and Engineering - Examples by L.D. Miles - Part 1






Updated 25.11.2023,  17.11.2023, 27.7.2023, 1.6.2022,  15.11.2021,  8 June 2021, 25 May 2020,  15 December 2019,   16 July 2019, 22 June 2019,  31 May 2019,  15 May 2019, 26 July 2018
First published on 29 September 2012