“Productivity science is scientific effort, that in any specific work situation, identifies the appropriate philosophy, culture, systems, processes, technology, methods and human physical action and behavior and elements of each of them of that will maximize positive (social, environmental and economic) outcomes relative to the resources consumed.” - Narayana Rao (IISE 2020 Annual Conference Proceedings)
Project started on 3 August 2017
The research project is exploring the research conducted so far in the industrial engineering field to identify research papers and theses (dissertations) that developed or tested causal explanation theories, propositions or hypotheses and consolidate them into a framework. The research is furthering the principles of industrial engineering proposed by Prof. K.V.S.S. Narayana Rao (Part of the Proceedings of IISE 2017 Annual Conference at Pittsburgh)
______________________
______________________
The functions of industrial engineering
______________________
Research in Industrial Engineering can be related to productivity science, productivity engineering or productivity management. The basic research in industrial engineering has to aim of creating productivity science. The science in turn is converted into productivity engineering or productivity management. Productivity engineering is using technical knowledge to redesign products and processes. Productivity management is redesign of managerial processes to enhance productivity and planning and execution of productivity improvement strategies, plans, programs and projects.
______________________
Productivity - Definition and Explanation
Productivity is proper and rational use of resources. Productivity is measured as quality (effective or useful) output per unit of single input or unit of multiple inputs.
When productivity is increased either inputs used will come down for the same output or output will increase for the same input. In terms of cost, for the same amount of input more output will come, hence unit cost of production will come down. Similarly, for the same output, input will come down, and hence unit cost will come down.
Organization of Productivity Science Theory
1. Productivity of Systems
2. Productivity of Systems - Global, National, Sectoral, Industry, Regional and Firm Levels.
3. Productivity of Resources - Machines and Equipment ( Production machines, Transport equipment, Material Handling equipment, Inspection equipment, Computing facilities, etc. ), Material, Energy, Manpower (Managers, supervisors, operators, knowledge workers), Land, Buildings, Utilities (Water, Compressed air etc.)
4. Productivity of Engineering Processes - Production, Inspection, Material handling, Maintenance, Design, Research and Development, Information processing,
5. Productivity of Different Engineering Branches-Related Technologies
Mechanical engineering
- Automobile - Development, Design, Production, and Servicing
- Machine Tools
- Boilers
- Robotics
- 3D Printers
Civil engineering
- Construction of Buildings
- Construction of Dams
- Construction of Roads
Metallurgical engineering
Mining engineering
Electrical engineering
- Generation of Power
- Distribution of Power
Electronics engineering
Communications engineering
Software engineering
- Data Analytics and Productivity
- IoT and Productivity
- Programmer productivity
- Data Center Productivity
Biotech Engineering
New Technologies
Industry 4.0
Industry 4.0 - IIoT Technology - Industrial Engineering - Productivity Science
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-technology-industrial.html
Industry 4.0 - IIoT - Productivity Engineering
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-productivity.html
Industry 4.0 - IIoT - Productivity Management
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-productivity-management.html
6. Productivity of Non-engineering Processes
Hospital Productivity
7. Productivity Science - Theories from Other Disciplines
Economics
Management
Organizational Behavior
Psychology
Sociology
In each area, seminal papers that discovered causal variables that affect productivity will be identified and the subsequent publications that extended the area will be listed. Any literature survey published on the issue will be specially highlighted. An attempt will be made to summarize and present the status of the theory on the area.
Suggestions are Invited
Please help in making the research project effective and useful.Suggestions are invited for modifying the research proposal to make the research project more effective.
Suggestions are also invited for inclusion of papers in each topic. What are the seminal papers in each topic?
Project started on 3 August 2017
Research Papers and Articles Collected So Far
The articles collected so far are listed in the individual blog posts.
Organization of Productivity Science Theory
1. Productivity of Systems
General - System Level Productivity Science
2. Productivity of Systems - Global, National, Sectoral, Industry, Regional and Firm Levels.
3. Productivity of Resources - Machines and Equipment ( Production machines, Transport equipment, Material Handling equipment, Inspection equipment, Computing facilities, etc. ), Material, Energy, Manpower (Managers, supervisors, operators, knowledge workers), Land, Buildings, Utilities (Water, Compressed air etc.)
4. Productivity of Engineering Processes - Production, Inspection, Material handling, Maintenance, Design, Research and Development, Information processing,
5. Productivity of Different Engineering Branches-Related Technologies
Mechanical engineering
- Automobile - Development, Design, Production, and Servicing
- Machine Tools
- Boilers
- Robotics
Robots and Cost Reduction - Price and Cost Reduction of Robots
- 3D Printers
3D Printing - Additive Manufacturing - Productivity Science and Engineering
Civil engineering
- Construction of Buildings
- Construction of Dams
- Construction of Roads
Metallurgical engineering
Mining engineering
Electrical engineering
- Generation of Power
- Distribution of Power
Electronics engineering
Communications engineering
Software engineering
- Data Analytics and Productivity
- IoT and Productivity
- Programmer productivity
- Data Center Productivity
Biotech Engineering
New Technologies
Industry 4.0
Industry 4.0 - IIoT Technology - Industrial Engineering - Productivity Science
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-technology-industrial.html
Industry 4.0 - IIoT - Productivity Engineering
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-productivity.html
Industry 4.0 - IIoT - Productivity Management
http://nraoiekc.blogspot.com/2017/12/industry-40-iiot-productivity-management.html
6. Productivity of Non-engineering Processes
Hospital Productivity
7. Productivity Science - Theories from Other Disciplines
Economics
Management
Organizational Behavior
Psychology
Sociology
Updated 9 Jan 2021, 10 January 2018, 20 December 2017, 3 August 2017
3rd August is memory day for my father in the year 2017. I am on a holiday and started this writing after the function is completed
ReplyDelete3rd August 1979 as per dates/christian calendar. My sister told me today 20 December 2017.
ReplyDeleteNice....You can also visit the ....Industrial Automation products | Tradelect Tradelect
ReplyDelete