Friday, January 24, 2020

Industrial Engineering is Engineering Plus Productivity

Industrial Engineering is Engineering Plus Productivity Philosophy - Science - Engineering - Management

Product Industrial Engineering = Product Design Engineering + Product Productivity Philosophy - Science - Engineering - Management

Process Industrial Engineering = Process Design Engineering + Process Productivity Philosophy - Science - Engineering - Management

Facilities Industrial Engineering = Facilities Design Engineering + Facilities Productivity Philosophy - Science - Engineering - Management

Human Effort Industrial Engineering = Mechanic Arts + Human Effort  Productivity Philosophy - Science - Engineering - Management

Productivity Philosophy - Science - Engineering - Management in engineering formally started as important activities in the first annual convention of ASME.  May be we can look for call for productivity and cost reduction of engineered products in some earlier writings also. But the ASME presidential lecture is a formal call for the engineering community and it was answered with a structure by the ASME.

Industrial engineering department was advocated by F.W. Taylor as a department that improves engineering elements based on experiments and science that was motivated by shop operations experience to increase productivity and reduce costs. He termed the department as "elementary rate fixing department."

The productivity concept as developed by Taylor, Gilbreth, and Miles has multiple dimensions and attributes.  Important of them are quality and human comfort, safety and health.

Industrial engineering Principles, Methods Tools and Techniques

A to Z of Industrial Engineering - Principles, Methods, Techniques, Tools and Applications

Industrial Engineering 4.0 - IE in the Era of Industry 4.0 - Blog Book

This is the 2000th Post of this blog.

Productivity Improvement Support to Data Science Team - Department

Custora automates complex data wrangling so you can focus on what matters to your business.
Custora helps you stretch your analytic dollar by automating many foundational tasks that typically take up large parts of a data analyst's day.

Data Science: Productivity Tools
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Productivity Benchmarking Information

Benchmark Your Facilities with the Productivity and Benchmarking Platform
The IARW Productivity and Benchmarking Platform is open for member participants to benchmark their facilities against other temperature-controlled warehouse facilities in North America.

Participants will be able to do the following:

Benchmark data against other participants using filters Print custom graphs on a question-by-question basis Print industry reports, referencing over 35 KPIs
This reporting platform helps temperature-controlled warehouse companies better evaluate their operations and performance.

Mechanical Engineering - Smart Systems - Productivity

Mechanical Engineering and Intelligent Systems

J.W. Hu, J. Su
Trans Tech Publications Ltd, 30-Aug-2012 - Technology & Engineering - 1400 pages

Product Productivity Science

“Process productivity”, is the standard concept of productivity  modeled in the literature.

The second one is “product productivity”, defined as firms' ability to develop high-quality products spending small fixed outlays.

Journal of International Economics
Volume 91, Issue 1, September 2013, Pages 53-67

Product and process productivity: Implications for quality choice and conditional exporter premia

Juan CarlosHallak,  JagadeeshSivadasan

The pioneer of product productivity science and engineering is L.D. Miles

Productivity Science Journals for Publication

International Journal of Productivity and Quality Management (IJPQM) 

Editor in Chief
Prof. Angappa Gunasekaran
ISSN online
ISSN print
12 issues per year

A Scopus indexed journal
Productivity and quality are integral components of organisations' operational strategies. Productivity plays an important role at both macro and micro levels. At micro-level, firms use productivity as a performance measure to benchmark against best-in-class companies to identify best practices. Quality management has become an important part of management culture, particularly in new enterprises characterised by supply chain, e-commerce and virtual enterprise environments. IJPQM addresses strategies, techniques and tools for productivity and quality management and improvement in manufacturing and service organisations.

Topics covered include

A perspective on the needs, issues, enablers
Strategic alliances based on core competences, BPR
Problem areas, types of solutions, tools/techniques
Productivity and quality improvement strategies/standards
Link between competitiveness and productivity/quality improvement
Measures/metrics, benchmarking, best practices
Functional/enterprise integration/management
Empirical research/case studies
Software products, IT/IS, e.g. www, EDI, RFID, ERP
Six sigma approach, continuous improvement, knowledge management
Design/implementation of productivity/QMS
Green/environmental productivity/quality, TQM, QFD
Total productivity management, productivity function deployment
SPC and process capability analysis, FEMA
Supply chain/virtual enterprise environments, SMEs

IJPQM is indexed in:
Scopus (Elsevier)
Academic OneFile (Gale)
Expanded Academic ASAP (Gale)
Business Collection (Gale)
IJPQM is listed in:
Agenzia Nazionale di Valutazione del sistema Universitario e della Ricerca (ANVUR)
Cabell's Directory of Publishing Opportunities

Evolutionary Computing and Optimization in Grinding Processes

New Technologies, Development and Application II
Isak Karabegović
Springer, 23-Apr-2019 - Technology & Engineering - 812 pages

This book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on 27th–29th June 2019. It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems, smart grids, as well as nonlinear, power, social and economic systems. We are currently experiencing the Fourth Industrial Revolution “Industry 4.0”, and its implementation will improve many aspects of human life in all segments, and lead to changes in business paradigms and production models. Further, new business methods are emerging, transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market.

Intelligent Systems: Modeling, Optimization, and Control

Yung C. Shin, Chengying Xu
CRC Press, 19-Dec-2017 - Technology & Engineering - 456 pages

Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Samuelson Hong, Wei-Chiang
IGI Global, 31-Mar-2013 - Computers - 357 pages

Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Open access peer-reviewed chapter

Optimization of Ceramics Grinding
By Eduardo Carlos Bianchi, Paulo Roberto de Aguiar, Anselmo Eduardo Diniz and Rubens Chinali Canarim

Submitted: November 3rd 2010Reviewed: March 23rd 2011Published: August 9th 2011

DOI: 10.5772/19505