Principles of Process Design

 

12 Principles of Process Design

Andrew Clark

Process All Inputs

Verify Success of the Output

Use Minimum number of Steps

Create Flow

Cause Zero Defects

Be Reliably Repeatable

Keep an Accurate Record of Activity  - of the design related activities?

Update the Record as YOu Do a Task.

Build Self-Correcting Systems - Include poka-yokes?

Measure and Manage Outputs

Track System Performance

Apply Continuous Improvement

https://www.linkedin.com/pulse/12-principles-process-design-andrew-j-clark-the-logistics-optimiser/

 Product and Process Design Principles: Synthesis, Analysis and Evaluation  4th Edition

Warren D. Seider, Daniel R. Lewin, J. D. Seader, Soemantri Widagdo, Rafiqul Gani, Ka Ming Ng

ISBN: 978-1-119-28263-1 May 2016 784 Pages

A principal objective of this textbook is to describe and model modern strategies for the design of chemical products and processes, with an emphasis on a systematic approach. This third edition expands upon the strategies for product design, beginning with the need for a project charter, followed by the creation of an innovation map in which potential new technologies are linked to consumer needs. Then, it focuses on the Stage-GateTM Product-Development Process (SGPDP) for the design of basic, industrial, and configured consumer chemical products. Six new case studies have been added to illustrate these product design strategies.

https://www.wiley.com/en-us/Product+and+Process+Design+Principles%3A+Synthesis%2C+Analysis+and+Evaluation%2C+4th+Edition-p-9781119282631

https://nraoiekc.blogspot.com/2022/07/product-and-process-design-principles.html

How to Design an Efficient Process

Benjamin Babb May 12, 2023

Process charts

BPMN

SIPOC

IPO

https://www.pipefy.com/blog/design-efficient-process/

The nine principles of Process Design

December 11, 2015

Wallace Oliveira

https://www.heflo.com/blog/bpm/business-process-design-principles/

Case Study: Applying Process Design Principles

Dan Madison is a principal in Value Creation Partners. He facilitates process improvement using lean, six sigma, reengineering, and continuous improvement techniques. Dan is the author of Process Mapping, Process Improvement, and Process Management.

Dan Madison has studied what a business process should look like for fifteen years. He studied what major corporations did in process improvement that made them successful and distilled his findings into design principles that anyone can use. He has come up with 38 design principles that apply to all business processes.

https://www.bpminstitute.org/resources/articles/case-study-applying-process-design-principles

5 Principles for Good Process Design

December 14, 2021

Posted by: Henning Shuhart

https://www.criticalmanufacturing.com/blog/how-mes-helps-medtechs-to-overcome-fluctuating-demand-and-supply-chain-disruptions-2/

Process Design - Process Analysis - Operation Analysis - Interesting explanation.

https://www.vskills.in/certification/tutorial/process-design/

Product Design Process (PDP)

https://engineeringproductdesign.com/knowledge-base/product-design-process/

Integrated Product and Process Design - 

Introduction.

National Academies of Sciences, Engineering, and Medicine. 1995. Information Technology for Manufacturing: A Research Agenda. Washington, DC: The National Academies Press. https://doi.org/10.17226/4815.

https://nap.nationalacademies.org/read/4815/chapter/5

https://www.signavio.com/bpmn-2-0-for-efficient-process-design/

Google search: Effective Process Design

Ud. 30.1.2025

Pub. 19.4.2023

Prof Bidanda Bopaya - Industrial Engineering - Publications

Ph.D. in Industrial and Management Systems Engineering, The Pennsylvania State University, 1987

M.S. in Science & Technology, Western Carolina University, 1983

B.S. in Electrical Engineering, National Institute of Technology (ex KREC - Surathkal, University of Mysore), 1976

Maynard's Industrial and Systems Engineering Handbook, 6th Edition - Edited by Prof. Bopaya M. Bidanda

https://nraoiekc.blogspot.com/2023/01/maynards-industrial-and-systems.html

2023

Bidanda, B., and Redfern, M., "Development of a Microcomputer Based Slip Tester," To appear in Computers and Industrial Engineering Journal.

Hu, G., Wang, L., Chen, Y., and Bidanda, B., "An Oligopoly Model to Analyze the Market and Social Welfare for Green Manufacturing Industry," To appear in Journal of Cleaner Production.

Basu, S., and Bidanda, B., 2013, "Eco-efficient construction and building materials," in Shortcomings of eco-labelling of construction and building materials, E.A. Pacheco-Torgal, ed., Woodhead Publishing.

Bidanda, B., and Norman, B.A., 2012, "Enhancing Endoscope Reprocessing within the VA Health System," Industrial & Systems Engineering Research Conference, Orlando, Florida.

Desai, S., Bidanda, B., and Lovell, M., 2012, "Material and process Selection in product design using decision-making techniques (AHP)," European Journal on Industrial Engineering, no.3.

Wu, S., Shuman, L., Bidanda, B., Baleban, C., and Sochats, K., 2012, "A Hybrid Modeling Framework to Simulate Disaster Response Decisions," International Journal of Advanced Intelligence Paradigms, no.1.

Bidanda, B., Hu, G., Shankar, M.R., Abolghasem, S., and Basu, S., 2011, "Assessing the Environmental Footprint of Manufactured Products: A Survey of Current Literature," International Journal of Production Economics.

Bidanda, B., Hu, G., Wang, L.Z., and Chen, Y., 2011, "An Oligopoly Model to Analyze the Market and Social Welfare for Green Manufacturing Industry," International Conference on Production Research, Stuttgart.

Hu, G., Wang, L.Z., Chen, Y., and Bidanda, B., 2011, "An Oligopoly Model to Analyze the Market and Social Welfare for Green Manufacturing Industry," International Conference on Production Research, Stuttgart.

Arisoy, O., and Bidanda, B., 2009, "Strategic Decision Making in Global Supply Networks," in Strategic Information Systems, M.G. Hunter, ed..

Arisoy, O., Azim, M., and Bidanda, B., 2009, "Project Management in a Flat World Circa 2025," in Project Management Circa 2025, B. Bidanda, and D. Cleland, eds., Project Management Institute.

Cleland, D., and Bidanda, B., 2009, "PROJECT MANAGEMENT CIRCA 2025," Project Management Institute.

Gaussin, M., Hu, G., Shankar, R., and Bidanda, B., 2009, "Assessing the Environmental Footprint of Manufactured Products: A Survey of Current Literature," International Conference on Production Research, Shanghai.

Hu, G., and Bidanda, B., 2009, "A Product Upgrade Decision Model for Sustainable Manufacturing," Industrial Engineering Research Conference, Miami, Florida.

Hu, G., and Bidanda, B., 2009, "Modeling Sustainable Product Life Cycle Decision Support Systems," Int. J. Production Economics.

Hu, G., Wang, L., and Bidanda, B., 2009, "A Multi-objective Model for Project Portfolio Selection to Implement Lean and Six Sigma Concepts," International Journal of Production Research, no.23, pp. 6611-6625.

Hu, G., Wang, L., and Bidanda, B., 2009, "Sustainable Manufacturing and Project Management Circa 2025," in Project Management Circa 2025, B. Bidanda, and D. Cleland, eds., Project Management Institute.

Bidanda, B., and Bartolo, P., 2008, "VIRTUAL PROTOTYPING & BIO-MANUFACTURING IN MEDICAL APPLICATIONS," Springer Science Publishers.

Arisoy, O., and Bidanda, B., 2008, "Strategic Decision Making in Global Supply Networks," in Encyclopedia of Networked & Virtual Organizations, M.M. Cunha, and G.D. Putnik, eds., Information Science Reference, pp. 1509-1515.

Bunce, M., Wang, L., and Bidanda, B., 2008, "Leveraging Six Sigma with Industrial Engineering tools in Crateless Retort Production," International Journal of Production Research, pp. 6701-6719.

Dhawan, A., Srinivasan, S., Rajib, P., and Bidanda, B., 2008, "Minimizing total cost and regular and emergency sources: a neuro-dynamic programming approach," International Journal of Production Research.

Wu, S., Shuman, L., Bidanda, B., Kelley, M., Sochats, K., and Balaban, C., 2008, "Agent-based discrete event simulation modeling for disaster responses," J. Fowler, and S. Mason, eds., pp. 1908-13.

Wu, S., Shuman, L., Bidanda, B., Prokopyev, O., Kelley, M., Sochats, K., and Balaban, C., 2008, "Simulation-based decision support system for real-time disaster response management," J. Fowler, and S. Mason, eds., pp. 58-63.

Bartolo, P., and Bidanda, B., 2007, "BIO-MATERIALS AND PROTOTYPING APPLICATIONS IN MEDICINE," Springer Science Publishers.

Cohen, Y., Wang, M., and Bidanda, B., 2007, "Modeling and implementation of agent-based discrete industrial automation," in Innovative algorithms and techniques in automation, industrial electronics and telecommunications, K. Elleithy, M. Karim, A. Mahmood, and T. Sobh, eds., Springer, pp. 535-541.

Desai, S., Bidanda, B., and Bartolo, P., 2007, "Metallic and Ceramic Biomaterials: Current and Future Directions," in Bio Materials and Prototyping Applications in Medicine, P. Bartolo, and B. Bidanda, eds., Springer.

Hu, G., and Bidanda, B., 2007, "Modeling Sustainable Product Lifecycle Decision Support Systems," Chile.

Hu, G., Wang, L., and Bidanda, B., 2007, "Project Portfolio Selection for Implementing Lean and Six Sigma Concepts," Nashville.

Hu, G., Wang, L., Wang, Y., and Bidanda, B., 2007, "A New Model for Closed Loop Product Lifecycle Systems," Nashville.

Srinivasan, S., Jain, C., and Bidanda, B., 2007, "Software and Other Project Management Practices in India," in Project Manager's Handbook: Applying Best Practices across Global Industries, D. Cleland, and L.R. Ireland, eds., McGraw Hill.

Wang, L., Hu, G., and Bidanda, B., 2007, "A Game Theoretic Model of the Market Competition between Green and Ordinary Products," Proceedings of the 2007 Industrial Engineering Research Conference, Nashville.

Wu, S., Shuman, L., Bidanda, B., Kelley, M., Sochats, K., and Balaban, C., 2007, "Disaster policy optimization: A simulation based approach," pp. 872-877, Nashville.

Wu, S., Shuman, L., Bidanda, B., Kelley, M., Sochats, K., and Balaban, C., 2007, "Embedding GIS in disaster simulation," 27th Annual ESRI International User Conference.

Wu, S., Shuman, L., Bidanda, B., Kelley, M., Sochats, K.M., and Balaban, C., 2007, "Embedding GIS in disaster simulation."

Wu, S., Shuman, L.J., Bidanda, B., Kelley, M., Lawson, B., Sochats, K.M., and Balaban, C.D., 2007, "System implementation issues of Dynamic Discrete Disaster Decision Simulation System (D4S2) - Phase I," R.R. Barton, B. Biller, S.G. Henderson, M. Hsieh, J. Shortle, and J.D. Tew, eds., pp. 1127-34.

Bidanda, B., and Arisoy, O., 2006, "Project Management in an Outsourcing Environment," in The Global Project Management Handbook (2nd Edition), D. Cleland, and R. Gareis, eds..

Bidanda, B., Arisoy, O., and Shuman, L.J., 2006, "Colombia & the New Global Economy: Implications of Tratado de Libre Comercio for Colombian Industry, Engineers & Engineering Educators," Revista de ingenieria, pp. 83-90.

Bidanda, B., Arisoy, O., and Shuman, L.J., 2006, "Offshoring Manufacturing: Implications for engineering jobs and education: A survey and case study," Robotics and Computer Integrated Manufacturing, no.6.

Arisoy, O., Bidanda, B., and Shuman, L., 2006, "Multi-expert multi-criteria decision making in outsourcing," Orlando.

Arisoy, O., Gokhan, M., Needy, K.L., and Bidanda, B., 2006, "Activity Based Costing and Life Cycle Costing in Outsourcing Decision Analysis," Orlando.

Cohen, Y., Wang, M.E., and Bidanda, B., 2006, "Modeling and Implementation of Agent-Based Discrete Industrial Automation," International Conference on Industrial Electronics, Technology & Automation.

Creehan, K., and Bidanda, B., 2006, "Computer-Aided Reverse Engineering of the Human Musculo-skeletal system," Virtual & Physical Prototyping, no.2.

Hu, G., Wang, Y., and Bidanda, B., 2006, "PLM Systems for Network-centric manufacturing," Orlando.

Hu, G., Wang, Y., and Bidanda, B., 2006, "Product Life cycle management challenges in trans-national environments," Orlando.

Lai, J.P., Shuman, L.J., and Bidanda, B., 2006, "A Surrogate Approach to Simulation Optimization," Orlando.

Puthpongsiriporn, T., Porter, D.J., Bidanda, B., Wang, M.E., and Billo, R.E., 2006, "Attribute-Level Neighbor Hierarchy Construction Using evolved Pattern-based Knowledge Induction," IEEE Transactions on Knowledge and Data Engineering, no.7.

Bidanda, B., Arisoy, O., and Shuman, L., 2005, "Manufacturing Outsourcing: Implications for Engineering Jobs & Education," FAIM 2005 Conference, pp. 884-892, Bilbao, Spain.

Bidanda, B., Arisoy, O., and Shuman, L.J., 2005, "The New Global Economy: Implications for Manufacturing Engineers and Educators."

Bidanda, B., Ariyawongrat, P., Needy, K.L., Norman, B.A., and Tharmmaphornphilas, W., 2005, "Human Related Issues in Manufacturing Cell Design, Implementation, and Operation: A Review & Survey," International Journal of Computers & Industrial Engineering, no.48, pp. 507-523.

Bidanda, B., Shuman, L.J., Thomes, K., and Arisoy, O., 2005, "Adapting Engineering Coursework for Increased Global Relevance," Annual Conference of the American Society for Engineering Education, Salt Lake City.

Alrashdan, A., Motavalli, S., and Bidanda, B., 2005, "Creation of Surface Models for Re-engineering of Manufactured Parts," International Conference of Production Research, Italy.

Cohen, Y., Bidanda, B., and Rokach, L., 2005, "A New Technique for Modeling & Implementation of Agent-Based Discrete Industrial Automation," FAIM 2005 Conference, pp. 424-431, Bilbao, Spain.

Creehan, K., and Bidanda, B., 2005, "Computer Aided Reverse Engineering of Human Tissues," pp. 155-160.

Needy, K., Norman, B.N., Besterfield-Sacre, M.B., Rajgopal, J., and Bidanda, B., 2005, "Integration and Synthesis of the Industrial Engineering Curriculum via an Unstructured Problem Solving Course," Annual Conference of the American Society for Engineering Education, Salt Lake City.

Shuman, L.J., Bidanda, B., Thomes, K., and Feick, L., 2005, "The Global and Societal Challenge - An Innovative Approach to ABET Criterion 3.H. and beyond," Annual Conference of the American Society for Engineering Education, Salt Lake City.

Bidanda, B., and Bartolo, P., 2004, "Guest Editorial - Product Development," International Journal of Product Development, no.2.

Bidanda, B., and Desai, S., 2004, "Strategic planning models for prototyping and product development centers," International Journal of Product Development, no.2.

Norman, B.A., Besterfield-sacre, M.E., Bidanda, B., Needy, K.L., and Rajgopal, J., 2004, "A Conceptual Model for Integrating and Synthesizing the industrial engineering curriculum," American Society for Engineering Education Annual Conference, Salt Lake City.

Sunanta, O., and Bidanda, B., 2004, "A Comparison of Manual and Mechanical Lapping Methods on Valve Re-conditioning," Industrial Engineering Research Conference, Houston.

Bidanda, B., Desai, S., and Lovell, M., 2003, "The Business of Virtual and Rapid Prototyping," pp. 91-95.

Needy, K.L., Nachtmann, H., Roztocki, N., Warner, R.N., and Bidanda, B., 2003, "Implementing Activity Based Costing Systems in Small Manufacturing Firms: A Field Study," Engineering Management Journal, no.1, pp. 3-10.

Needy, K.L., Norman, B.A., Bidanda, B., Ariyawongrat, P., Tharmmaphornphilas, W., and Warner, R.C., 2002, "Assessing human capital: A lean manufacturing example," Engineering Management Journal, no.3, pp. 35-39.

Norman, B.A., Tharmmaphornphilas, W., Needy, K.L., Bidanda, B., and Warner, R.C., 2002, "Worker Assignment in cellular manufacturing considering technical and human skills," International Journal of Production Research, no.6, pp. 1479-1492.

Bidanda, B., Needy, K.L., and Norman, B.A., 2001, "Worker Assignment for cellular manufacturing considering technical, human, and lean skills," 2001 NSF Design, Service and Manufacturing Grantees and Research Conference, Tampa, FL.

Bidanda, B., Shuman, L.J., Rajgopal, J., Besterfield-sacre, M.E., and Rubial, C., 2001, "Flexible Doctoral Programs for International faculty: A Refined Model with preliminary results," International Conference for Engineering Education, Oslo.

Creehan, K., and Bopaya, B., 2001, "Computer Aided Reverse Engineering of Human Tissues and Structures," International Conference of Production Research, Prague.

Needy, K.L., Norman, B.A., Bidanda, B., Tharmmphornphilas, W., Aiyawongrat, P., and Warner, R.C., 2001, "Human Capital Assessment in Lean Manufacturing," American Society for Engineering Management Proceedings, pp. 233-239, Huntsville, AL.

Rafe, G.E., Needy, K.L., Bidanda, B., and Schmidt, T.A., 2001, "Delivering continuous manufacturing education and training via internet-based distributed virtual laboratories," 2001 Frontiers in Education Conference, Reno, NV.

Sunant, O., and Bidanda, B., 2001, "A Fuzzy Logic Advisory System for Flat Surface Lapping," International Conference of Production Research, Prague.

Bidanda, B., 2000, "Assembly Line Balancing," in Maynard Industrial Engineering Handbook, K. Zandin, ed., McGraw Hill.

Bidanda, B., Aguwa, C., and Nnaji, B., 2000, "A Manufacturing Modernization Model for Developing Countries," 5th USA-Africa Conference on Manufacturing Technology, Abuja, Nigeria.

Bidanda, B., Needy, K.L., and Norman, B.A., 2000, "Worker Assignment for cellular manufacturing considering human issues," 2000 NSF Design and Manufacturing Research Conference, Vancouver, British Columbia.

Bidanda, B., Needy, K.L., Norman, B.A., and Warner, R., 2000, "Skills and Cells," World Symposium GT-CM 2000, San Juan, Puerto Rico.

Billo, R.E., Bidanda, B., and Adickes, M., 2000, "Bar Codes and Other Data Collection Methods," in Maynard Industrial Engineering Handbook, K. Zandin, ed., McGraw Hill.

Carnahan, B., Warner, R.C., Bidanda, B., and Needy, K.L., 2000, "Predicted glass furnace output using statistical and neural computing methods," International Journal of Production Research, no.6, pp. 1255-1269.

Maitra, A., Bidanda, B., and Nnaji, B., 2000, "A Framework for Task Level Programming in Automated Storage and Retrieval Systems," 9th Industrial Engineering Research Conference, Cleveland, OH.

Needy, K.L., Bidanda, B., and Gulsen, M., 2000, "A model for the development, assessment, and validation of activity based costing systems for small manufacturers," Engineering Management Journal, no.1, pp. 31-38.

Needy, K.L., and Bidanda, B., 2000, "Production Flow Strategies," in Maynard Industrial Engineering Handbook, K. Zandin, ed., McGraw Hill.

Norman, B.A., Tharmmaphornphilas, W., Needy, K.L., Bidanda, B., and Warner, R.C., 2000, "Assigning workers to tasks considering technical and human skills," 9th Industrial Engineering Research Conference, Cleveland, OH.

Rafe, G., Needy, K.L., and Bidanda, B., 2000, "Motivations for a distributed virtual laboratory for continuous manufacturing education and training," 2000 American Society for Engineering Education Annual Conference, St. Louis, MO.

Bidanda, B., and Needy, K.L., 1999, "Development of an activity based costing system in your small company," Industrial Engineering Solutions '99 Conference, pp. 58-63, Phoenix, AZ.

Bidanda, B., Colosimo, R.L., Warner, P.J., and Billo, R.E., 1999, "Project Management & Implementation of Cellular Manufacturing," in Handbook of Cellular Manufacturing Systems, S. Irani, ed., John Wiley & Sons.

Rafe, G., Needy, K.L., and Bidanda, B., 1999, "Motivations for a distributed virtual laboratory for continuous manufacturing education and training," American Society for Engineering Education Annual Conference, Charlotte, NC.

Bidanda, B., Kadidal, M., and Billo, R., 1998, "Development of an Intelligent Castability and Cost Estimation System," International Journal of Production Research, no.2, pp. 547-568.

Billo, R.E., and Bidanda, B., 1998, "Part Family Identification: The Role of Engineering Databases," in Group Technology & Cellular Manufacturing: State-Of-The-Art Synthesis of Research and Practice, Kluwer Academic Publishers.

Cohen, Y., Bidanda, B., and Billo, R., 1998, "Accelerating the Generation of Work Measurement Standards through Automatic Speech Recognition: A Laboratory Study," International Journal of Production Research, no.10, pp. 2701-2715.

Petri, K., Billo, R., and Bidanda, B., 1998, "A Neural Network Process Model for Abrasive Flow Machining Operations," Journal of Manufacturing Systems, no.1, pp. 52-64.

Aguwa, C.C., Bidanda, B., and Nnaji, B.O., 1997, "Shared Manufacturing in Developing Countries: An African Perspective," The Fourth Africa-USA International Conference on Manufacturing Technology, Pittsburgh.

Billo, R.E., Bidanda, B., and Adickes, M., 1997, "Performance Testing of Hand-Held Scanners for 2D Barcode Symbologies," Factory Automation & Integrated Manufacturing (FAIM) Conference, York, U.K..

Bidanda, B., and Billo, R., 1996, "Parametric Design and NC Code Generation of Countersink Cutting Tools," International Journal of Computer Integrated Manufacturing, no.2, pp. 105-112.

Berardi, M., and Bidanda, B., 1996, "A Non-traditional Economic Justification Model for Advanced Technologies," the 5th Industrial Engineering Research Conference, Minneapolis, Minnesota.

Billo, R., Bidanda, B., and Tate, D., 1996, "A Genetic Cluster Algorithm for the Machine Component Grouping Problem," Journal of Intelligent Manufacturing, no.3, pp. 1-13.

Billo, R., Bidanda, B., Cohen, Y., Fei, C.Y., and Petri, K.L., 1996, "Performance Standards and Testing of Two-Dimensional Bar Code Systems for Overhead Scanning," Journal of Manufacturing Systems, no.5, pp. 305-315.

Billo, R., Needy, K., and Bidanda, B., 1996, "Challenges Facing Information Technologies to Support World Class Manufacturing Practices," Computers In Industry, pp. 163-165.

Cleland, D., Bidanda, B., and Chung, C., 1996, "Human Issues in Technology Implementation - Part 2," Industrial Management, no.5, pp. 15-16.

Cohen, Y., Bidanda, B., Billo, R.E., and Zandin, K.B., 1996, "On Integrating Work Measurement Systems with Voice Recognition Technologies," the 5th Industrial Engineering Research Conference, Minneapolis, Minnesota.

Cohen, Y., and Bidanda, B., 1996, "A Discrete Control Modeling Technique for Automated Industrial Systems," the Embedded Computing Conference, Paris.

Maitra, A., Bidanda, B., and Rubinovitz, J., 1996, "Need for the Development of a Generic Programming Interface for Industrial Robots," the SPIE Conference, pp. 89-95.

Wilhelm, M., Smith, A.E., and Bidanda, B., 1996, "Integrating an Expert System and a Neural Network for Process Planning," Engineering Design and Automation, no.4, pp. 259-269.

Wilhelm, M., Smith, A.E., and Bidanda, B., 1996, "Process Planning Using an Integrated Expert System and Neural Network Approach," in Hybrid Intelligent Systems Applications, J. Liebowitz, ed., Cognizant Communications/ISIS, pp. 3-23.

Bidanda, B., and Billo, R., 1995, "On the Use of Students for Developing Engineering Laboratories," Journal of Engineering Education, no.2, pp. 205-212.

Bidanda, B., and Billo, R.E., 1995, "On the Development of an Intelligent Speech-Based Work Measurement System," the 5th International FAIM Conference, Stuttgart, Germany.

Bidanda, B., and Needy, K.L., 1995, "Activity Based Costing for Small Manufacturers," the Fourth I.E. Research Conference, Nashville, TN.

Bidanda, B., Billo, R.E., and Cohen, Y., 1995, "A New Generation of Two Dimensional Bar Code Symbologies," the 13th International Conference on Production Research, Jerusalem.

Billo, R., and Bidanda, B., 1995, "Representing group technology classification and coding techniques with object oriented modeling," IIE Transactions, pp. 542-554.

Billo, R.E., Bidanda, B., and Kharbanda, P., 1995, "Re-Engineering Process Plans for Manufacturing Cell Design: A Case Study," the 13th International Conference on Production Research, Jerusalem.

Billo, R.E., and Bidanda, B., 1995, "Testing of Two-Dimensional Bar Code Systems for Overhead Sortation and Tracking," the Fourth I.E. Research Conference, Nashville, TN.

Burns, G., and Bidanda, B., 1995, "Modular Hierarchical Control Networks for the Specification and Implementation of Automated Manufacturing Control Systems," the Fourth I.E. Research Conference, Nashville, TN.

Cleland, D.I., Bidanda, B., and Chung, C., 1995, "Human Issues in Technology Implementation - Part 1," Industrial Management, no.4, pp. 22-27.

Cohen, Y., and Bidanda, B., 1995, "A New Generation of Work Measurement Systems for Manufacturing & Industrial Applications," the 13th International Conference on Production Research, Jerusalem.

Petri, K.L., Billo, R.E., and Bidanda, B., 1995, "The Development of Non-traditional Process Models for Extrusion Honing," the Fourth I.E. Research Conference, Nashville, TN.

Bidanda, B., and Hosni, Y., 1994, "Reverse Engineering and its Relevance to Industrial Engineering: A Critical Overview," Computers and Industrial Engineering Journal, no.2, pp. 343-348.

Bidanda, B., Narayanan, V., and Billo, R., 1994, "Reverse Engineering & Rapid Prototyping," in Handbook of Automation and Manufacturing Systems, R.C. Dorf, and A. Kusiak, eds., John Wiley & Sons.

Billo, R., Bidanda, B., and Kharbanda, P., 1994, "Re-Engineering Process Plans for Effective Manufacturing Cell Formation," International Journal of Manufacturing Systems Design, no.3, pp. 217-229.

Billo, R., Bidanda, B., and Peternel, J., 1994, "Enhancing Classification and Coding Techniques with Object Oriented Modeling for Group Technology Applications," the Third I.E. Research Conference, pp. 549-554, Atlanta, GA.

Billo, R., Bidanda, B., and Tate, D., 1994, "A Genetic Algorithm Formulation of the Cell Formation Problem," 16th Int. Conference on Computers and Industrial Engineering, Ashikaga, Japan.

Billo, R., and Bidanda, B., 1994, "A Student Advising System for Undergraduate Engineering Curricular Scheduling," Computers in Education, no.3, pp. 205-213.

Burns, G., and Bidanda, B., 1994, "An Iconic Programming System for Flexible Control of Automated Systems," ISRAM 1994, Maui.

Burns, G., and Bidanda, B., 1994, "An Integrated Petri Net Environment for Analysis and Logic Control of Manufacturing Systems," the Third I.E. Research Conference, Atlanta, GA.

Burns, G., and Bidanda, B., 1994, "The Use of Hierarchical Petri Nets for the Automatic Generation of Ladder Logic Programs," the ESD/IPC' 94 Conference & Exposition, pp. 169-179, Detroit, MI.

Dharwadkar, S., Bidanda, B., and Cleland, D., 1994, "Shared Manufacturing Assistance Center Project: A New Product Development," in THE GLOBAL PROJECT MANAGEMENT HANDBOOK, D. Cleland, and R. Gareis, eds., McGraw Hill.

Motavalli, S., and Bidanda, B., 1994, "Modular Software Development for Digitizing Data Analysis in Reverse Engineering," Computers and Industrial Engineering Journal, no.2, pp. 395-410.

Redfern, M., and Bidanda, B., 1994, "Slip Resistance of the Shoe-Floor Interface Under Bio-mechanically Relevant Conditions," Ergonomics, no.3, pp. 511-524.

Sergio, B., Smith, A., and Bidanda, B., 1994, "Reducing Waste in Casting with a Predictive Neural Model," Journal of Intelligent Manufacturing, pp. 277-286.

Bidanda, B., Billo, R., and Peternel, J., 1993, "Computer Aided Feature Based Design and NC Code Generation of Countersink Tools," the FAIM 1993 Conference, CRC Press, pp. 245-254, Limerick, Ireland.

Bidanda, B., Cleland, D., and Dharwadkar, S., 1993, "Shared Manufacturing: An Approach to Global Competitiveness," the FAIM 1993 Conference, CRC Press, pp. 55-66, Limerick, Ireland.

Bidanda, B., Cleland, D.I., and Dharwadkar, S., 1993, "SHARED MANUFACTURING SYSTEMS: A GLOBAL PERSPECTIVE," McGraw-Hill Book Company, New York.

Bidanda, B., Cohen, P.H., and Tunasar, C., 1993, "FIXPERT: A Rule Based System for Workholding Device Selection of Rotational Parts," in EXPERT SYSTEMS IN PRODUCTION & MANUFACTURE: STRUCTURE AND RULES, S. Anand, and A. Mital, eds., Chapman and Hall.

Bidanda, B., Rubinovitz, J., and Narayanan, V., 1993, "CAD-Based Interactive Off-line Programming of Spray Glazing Robots," International Journal of Computer Integrated Manufacturing, no.6, pp. 357-365.

Ben-Brahim, S., Smith, A., and Bidanda, B., 1993, "Relating Product Specifications and Performance Data with a Neural Network Model for Design Improvement," Journal of Intelligent Manufacturing, pp. 367-374.

Billo, R.E., and Bidanda, B., 1993, "The Start Up of an Automated Data Collection Laboratory," 4th Annual Automatic Identification Educators Conference, Philadelphia.

Burns, G., Rajgopal, J., and Bidanda, B., 1993, "Integrating Group Technology and TSP for Scheduling Operations with Sequence Dependent Setup Times," the Second I.E. Research Conference, pp. 837-841, Los Angeles, CA.

Narayanan, V., Bidanda, B., and Rubinovitz, J., 1993, "Off-Line Programming and Path Planning of Spray Glazing Robots," the XIII International Conference for Production Research (ICPR), Elsevier Science Publishers.

Rajgopal, J., and Bidanda, B., 1993, "On the Use of Statistical Design in Manufacturing Engineering Education," International Journal of Applied Engineering Education, no.4.

Smith, A., Martinez, S., and Bidanda, B., 1993, "A Neural Predictive Quality Model for Slip Casting Using Categorical Metrics," the Second I.E. Research Conference, pp. 265-269, Los Angeles, CA.

Bidanda, B., and Muralikrishnan, C.K., 1992, "Flexible Fixtures for Intelligent Manufacturing," in Intelligent Design and Manufacturing, A. Kusiak, ed., John Wiley & Sons.

Bidanda, B., Shuman, L., and Puerzer, R., 1992, "On Teaching CAD Concepts to Industrial Engineers," Engineering Design Graphics Journal, no.2, pp. 11-18.

Ben-Brahim, S., Smith, A., and Bidanda, B., 1992, "Estimating Product Performance and Quality from Design Parameters Via Neural Networks," the First I.E. Research Conference, Chicago, IL.

Cleland, D., Bidanda, B., and Dharwadkar, S., 1992, "A Shared Manufacturing Assistance Center Project," the Project Management Institute Seminar & Symposium, pp. 466-473, Pittsburgh, PA.

Motavalli, S., and Bidanda, B., 1992, "Modular Software Development for Reverse Engineering Applications," the First I.E. Research Conference, Chicago, IL.

Narayanan, V., Rubinovitz, J., and Bidanda, B., 1992, "On the Development of Computer Based Path Planning Strategies for Robotic Spray Glazing," Computers and Industrial Engineering Journal, pp. 15-18.

Bidanda, B., Motavalli, S., and Harding, K., 1991, "Reverse Engineering: An Evaluation of Prospective Non-Contact Technologies and Applications in Manufacturing Systems," International Journal of Computer Integrated Manufacturing, no.3, pp. 145-156.

Bidanda, B., Rubinovitz, J., and Narayanan, V., 1991, "Off-line Programming for Robotic Spray Glazing Cell," Fourth World Conference on Robotics Research, Pittsburgh, PA.

Bidanda, B., Shuman, L., and Puerzer, R., 1991, "On Teaching CAD Concepts to Industrial Engineers," the ASEE Conference, New Orleans.

Motavalli, S., and Bidanda, B., 1991, "Development of a Part Image Reconstruction System for Reverse Engineering of Design Modifications," Journal of Manufacturing Systems, no.5.

Rajgopal, J., and Bidanda, B., 1991, "On Scheduling Parallel Machines with Two Setup Classes," International Journal of Production Research, no.12, pp. 2443-2458.

Redfern, M., and Bidanda, B., 1991, "Programmable Shoe/Floor Tester to Evaluate Floor Slipperiness," in ADVANCES IN INDUSTRIAL ERGONOMICS AND SAFETY III, W. Karwowski, and J.W. Yates, eds., Taylor & Francis.

Bidanda, B., and Cleland, D.I., 1990, "THE AUTOMATED FACTORY HANDBOOK: TECHNOLOGY AND MANAGEMENT," Tab Professional and Reference Books, Blue Ridge Summit, PA.

Bidanda, B., and Motavalli, S., 1990, "On the Applications of Part Image Reconstruction Systems in Automated Manufacturing," 5th International conference on CAD/CAM, Robotics and Factories of the Future, Elsevier Science Publishers, Norfolk, Virginia.

Bidanda, B., and Rajgopal, J., 1990, "Optimal Selection of Workholding Devices for Rotational Parts," IIE Transactions, no.1.

Bidanda, B., Motavalli, S., and Patterson, G.P., 1990, "On the Development of a Computerized System for Cephalometric Analysis," Journal of Medical Systems, no.1.

Burhanuddin, S., and Bidanda, B., 1990, "Industrial Robots," in THE AUTOMATED FACTORY HANDBOOK; TECHNOLOGY AND MANAGEMENT, B. Bidanda, and D.I. Cleland, eds., Tab Professional and Reference Books (Division of McGraw-Hill), Blue Ridge Summit, PA.

Bidanda, B., and Cleland, D., 1989, "Techniques to Assess Project Feasibility," Project Management Journal, no.2.

Bidanda, B., and Motavalli, S., 1989, "Reverse Engineering using Structured Lighting," 4th International Conference on CAD/CAM, Robotics and Factories of the Future, Elsevier Science Publishers, Delhi, India.

Bidanda, B., Rubinovitz, J., and Raman, S., 1989, "Development of a Spatter Index for Automated Welding Inspection Using Computer Vision," Computers in Industrial Engineering Journal, no.2, pp. 215-224.

Knott, K., Bidanda, B., and Pennebaker, D., 1988, "The Economics of Robotic Welding," The International Journal of Production Research, no.1.

Bidanda, B., and Knott, K., 1987, "Roadblocks to Robotic Welding," Journal of Methods-Time Measurement.

Bidanda, B., "Designing and Implementing Large Scale Cellular Manufacturing Systems," Banff.

Bidanda, B., "Designing and Implementing Large Scale Cellular Manufacturing Systems," IIE Solutions Conference, Banff.

Bidanda, B., and Cohen, P.H., "An Integrated CAD-CAM Approach for the Selection of Workholding Devices for Concentric, Rotational Components," 14th conference of the NSF Production Research and Technology Program, Society of Manufacturing Engineers, Dearborn, MI.

Bidanda, B., and Cohen, P.H., "Automated Fixture Selection for Rotational Parts," 3rd International Conference for CAD/CAM and Robotics, Elsevier Science Publishers.

Bidanda, B., and Cohen, P.H., "Development of a Computer Aided Fixture Selection System for Concentric, Rotational Parts," Symposium on Advances in Integrated Product Design and Manufacturing, pp. 219-226.

Bidanda, B., and Motavalli, S., "Building CAD Models with Non-Contact Techniques," IIE Conference, Atlanta, GA.

Bidanda, B., and Rubinovitz, J., "Use of a Computer Vision System to check for Spatter in Butt Welds," 22nd SES Annual Meeting.

Bidanda, B., and Wolfe, H., "An Analysis for Manufacturing System Laboratory Development," ASEE Conference, pp. 303-307, Portland, OR.

Bidanda, B., Cohen, P.H., and Schmidt, A.O., "Cellular Manufacturing for Small Shops," International Conference on Technology and Technology Exchange-ICTTE 1986.

Bidanda, B., Colosimo, R., and Petri, K., "On Improving Manufacturing Efficiency," the International Conference on Manufacturing Excellence: Mexcel 95, Bangalore, India.

Bidanda, B., Di Pasquale, J., Clune, J., and Creehan, K., "Rapid Prototyping & Reverse Engineering Applications in a BioMedical Environment," International Conference of Production Research, Limerick, Ireland.

Bidanda, B., Narayanan, V., Brahim, B.S., and Thorne, J., "On the Development of a Robotic Work Cell for Sanitary Ware Spray Glazing," XIII Conference in Computers and Industrial Engineering, Orlando, Florida.

Bidanda, B., Rajgopal, J., and Shuman, L., "Flexible Doctoral Programs for International Faculty," International Conference for Engineering Education, Rio de Janerio.

Bidanda, B., Sepideh, A., Shankar, M.R., and Basu, S., "Sustainable Design and Manufacturing by Mapping, Microstructure from Severe Shear Deformation in Machining," 14th IFAC Symposium on Information Control Problems in Manufacturing, Bucharest.

Billo, R., Bidanda, B., and Peternel, J., "Parametric Design of Countersink Cutting Tools," the Second I.E. Research Conference, pp. 370-374, Los Angeles, CA.

Billo, R., Tate, D., and Bidanda, B., "Comparison of a Genetic Algorithm and Cluster Analysis for the Cell Formation Problem: A Case Study," the Third I.E. Research Conference, pp. 543-548, Atlanta, GA.

Billo, R.E., and Bidanda, B., "How to Implement ADC," the Automatic Identification & Data Capture Seminar, Pittsburgh, PA.

Billo, R.E., and Bidanda, B., "Modeling Effective Material Tracking Systems: A Case Study in Wireless Technology," Banff.

Cohen, Y., and Bidanda, B., "Y- Nets for Automated Production," the International Conference for Production Research (ICPR), Osaka.

Cohen, Y., and Bidanda, B., "Y-Nets: A New Technique for Modeling Discrete Control in Industrial Systems," the Sixth Industrial Engineering Research Conference, pp. 586-591, Miami Beach.

Colosimo, R., Needy, K., and Bidanda, B., "Worker Assignments in Implementing Manufacturing Cells," the Sixth Industrial Engineering Research Conference, pp. 240-245, Miami Beach.

Kadidal, M., and Bidanda, B., "A Castability Expert System," XV Conference in Computers and Industrial Engineering, Florida.

Narayanan, V., and Bidanda, B., "Analysis of Process Parameters for Robotic Spray Glazing," the Fourth I.E. Research Conference, Nashville, TN.

Rajgopal, J., Bidanda, B., and Shuman, L., "Flexible Doctoral Programs for International Faculty," International Conference on Engineering Education, Rio de Janerio.


http://www.engineering.pitt.edu/People/Faculty/SSOE/Active/Bidanda,-Bopaya/

Maynard's Industrial and Systems Engineering Handbook, 6th Edition - Edited by Prof. Bopaya M. Bidanda

INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING  Pdf File. FREE DOWNLOAD.

by Narayana Rao Kvss. 

Contents

1. Industrial Engineering - Introduction and History

2. Definition and Explanation

3. Contribution of Taylor, Gilbreth and Harrington Emerson

4. Principles of Industrial Engineering

5. Functions of Industrial Engineering

6. Focus Areas of Industrial Engineering

https://www.academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0

Maynard's Industrial and Systems Engineering Handbook, 6th Edition

Bopaya M. Bidanda

Table of Contents

Find items in this list

Overview

A DEDICATION

B ABOUT THE EDITOR

C SECTION EDITORS

D CONTRIBUTORS

E ACKNOWLEDGMENTS

F FOREWORD

G PREFACE

H SPONSORS

A SECTION 1: INDUSTRIAL ENGINEERING: PAST, PRESENT, AND FUTURE

1 THE PURPOSE AND EVOLUTION OF INDUSTRIAL ENGINEERING

2 FUNDAMENTALS OF INDUSTRIAL ENGINEERING

3 THE FUTURE OF INDUSTRIAL AND SYSTEMS ENGINEERING—ONE PERSPECTIVE

4 INDUSTRIAL AND SYSTEMS ENGINEERING BODY OF KNOWLEDGE: A PROFESSIONAL REFERENCE FOR THE FIELD

B SECTION 2: PRODUCTIVITY

5 THE CONCEPT AND IMPORTANCE OF PRODUCTIVITY

6 LEAN: BASIC THINKING

7 METHODS ENGINEERING—THE DESIGN AND IMPROVEMENT OF WORK

8 WORK MEASUREMENT AND ENGINEERED LABOR STANDARDS

9 FORECASTING, PLANNING, AND SCHEDULING FOR OPTIMAL PRODUCTIVITY

10 THE IMPORTANCE OF COMPENSATION IN PRODUCTIVITY

C SECTION 3: ENGINEERING ECONOMICS

11 BASIC PRINCIPLES OF ENGINEERING ECONOMIC ANALYSIS

12 COST ESTIMATION

13 DECISION MAKING UNDER RISK AND UNCERTAINTY

14 LIFE CYCLE COSTING WITH APPLICATION TO ELECTRIC ENERGY COSTING

15 COST ACCOUNTING AND MANAGEMENT

16 CASE STUDY: COST GROWTH FOR SPACE SYSTEMS

D SECTION 4: HUMAN FACTORS, ERGONOMICS, AND SAFETY

17 MACROERGONOMICS: BEYOND THE HUMAN-MACHINE INTERFACE

18 PERSONALIZING ERGONOMICS FOR THE CHANGING WORKFORCE

19 DESIGNING, IMPLEMENTING, AND JUSTIFYING AN ERGONOMICS PROGRAM

20 OCCUPATIONAL ERGONOMICS IN CONSTRUCTION

21 ERGONOMICS OF SEDENTARY INTERVENTIONS FOR THE OFFICE WORKPLACE

22 PSYCHOPHYSIOLOGICAL ASSESSMENT OF MENTAL WORKLOAD

23 WORK ANALYSES METHODS TO DETERMINE COGNITIVE ENGINEERING REQUIREMENTS FOR COMPLEX INDUSTRIAL SYSTEMS

24 SAFETY ANALYTICS

25 AUTOMATION AND AUTONOMOUS SYSTEMS: BENEFITS AND CONCERNS OF THE HUMAN-IN-THE-LOOP TRANSITION AND IMPLEMENTATION

E SECTION 5: FACILITY LOGISTICS

26 FACILITIES LAYOUT IN MANUFACTURING AND SERVICE INDUSTRIES: PAST PRACTICES AND FUTURE TRENDS

27 THE IMPACT OF AUTOMATION, SENSORS, INTERNET OF THINGS, AND INDUSTRY 4.0 ON FACILITY LOGISTICS

28 E-COMMERCE WAREHOUSING: ADVANCES IN MATERIAL HANDLING SYSTEMS

F SECTION 6: OPERATIONS RESEARCH

29 OPERATIONS RESEARCH: AN OVERVIEW

30 OPTIMIZATION MODELS AND METHODS

31 SIMULATION IN INDUSTRIAL ENGINEERING

32 AN OVERVIEW OF ANALYTICS

G SECTION 7: STATISTICS AND PROBABILITY

33 PRINCIPLES AND APPLICATIONS OF PROBABILITY

34 APPLIED STATISTICS FOR INDUSTRIAL AND SYSTEMS ENGINEERING

35 STOCHASTIC MODELS FOR INDUSTRIAL AND SYSTEMS ENGINEERING

36 MACHINE LEARNING AND INDUSTRIAL APPLICATIONS

37 FORECASTING AND INDUSTRIAL APPLICATIONS

H SECTION 8: SUPPLY CHAINS

38 FUNDAMENTALS OF SUPPLY CHAIN OPERATIONS

39 CUSTOMER INTERFACES: PREDICTING, PLANNING, AND INFLUENCING DEMAND

40 SUPPLY CHAIN INVENTORY MANAGEMENT

41 TRANSPORTATION MANAGEMENT

42 SUPPLY CHAIN STRUCTURE AND DESIGN

43 MANAGING SUPPLY SOURCES THROUGH SUPPLIER RELATIONSHIP MANAGEMENT

44 THE ROLE, VALUE, AND RELEVANCE OF INFORMATION SHARING AND COORDINATION IN SUPPLY CHAINS

I SECTION 9: QUALITY

45 QUALITY HISTORY AND EVOLUTION

46 QUALITY CONCEPTS AND MODELS

47 QUALITY FUNDAMENTALS

48 QUALITY PLANNING AND DESIGN

49 QUALITY CONTROL

50 QUALITY IMPROVEMENT

51 RELIABILITY AND MAINTAINABILITY

52 QUALITY MANAGEMENT

J SECTION 10: PRODUCT AND SERVICE SYSTEM DESIGN

53 SERVICE SYSTEMS DESIGN

54 EFFECTIVE DESIGN PROCESS MANAGEMENT: QUALITY AND CREATIVITY

55 ANALYTICS AND OPTIMIZATION FOR DESIGN FOR X

56 OR MODELS FOR SERVICE SYSTEMS DESIGN

57 SERVICE DESIGN TO EXCEED CUSTOMER AND ASSOCIATE EXPECTATIONS

58 PRODUCT-SERVICE SYSTEM: DEFINITIONS AND DESIGN APPROACHES

59 PRODUCT SYSTEM DESIGN: HOW TO CREATE PRODUCTS FOR DIFFERENT CUSTOMERS

K SECTION 11: MANUFACTURING MODELS AND ANALYSIS

60 ADDITIVE MANUFACTURING (3D PRINTING)

61 MANUFACTURING SENSORS AND CONTROLS

62 PROCESS ENGINEERING

63 METROLOGY IN MANUFACTURING

64 REMANUFACTURING AND THE CIRCULAR ECONOMY

65 CYBERMANUFACTURING

66 FACTORY ANALYTICS

L SECTION 12: SYSTEMS ENGINEERING

67 FOUNDATIONS OF SYSTEMS ENGINEERING

68 THE SYSTEMS ENGINEERING PROCESSES

69 CROSS-CUTTING SYSTEMS ENGINEERING METHODS

70 SPECIALTY ENGINEERING ACTIVITIES

M SECTION 13: ENGINEERING MANAGEMENT

71 SOFT SKILLS IN INDUSTRIAL ENGINEERING AND MANAGEMENT

72 UNDERGRADUATE SYSTEMS ENGINEERING MANAGEMENT

73 APPLICATIONS OF PROJECT MANAGEMENT TO MANUFACTURING

74 LEAN SYSTEMS IN ENGINEERING MANAGEMENT

75 COGNITIVE AND HUMAN FACTORS MODELING FOR ENGINEERING MANAGEMENT

76 QUALITY SYSTEMS AND ENGINEERING MANAGEMENT APPLICATIONS

77 THE INDUSTRIAL ENGINEER AS A MANAGER

78 FUNCTIONS OF AN ENGINEERING MANAGER

79 LEAN SIX SIGMA: BASIC CONCEPTS

80 PROJECT MANAGEMENT IN THE SERVICE INDUSTRY

81 GLOBALIZATION: CHALLENGES FOR MANAGING IN A GLOBAL ECONOMY

82 PROJECT MANAGEMENT FOR THE INDUSTRIAL ENGINEER

83 ENGINEERING ETHICS: APPLICATIONS TO INDUSTRIAL ENGINEERING

84 DIGITAL DATA TRANSFORMATION AND ITS APPLICATIONS

N SECTION 14: INTERNATIONAL INDUSTRIAL ENGINEERING

85 PRODUCTION ENGINEERING IN BRAZIL

86 DEVELOPMENT OF INDUSTRIAL ENGINEERING IN THE CHINESE MAINLAND

87 COLOMBIA

88 INDUSTRIAL ENGINEERING IN EGYPT

89 FINLAND

90 ADVANCEMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING DISCIPLINE IN HONG KONG

91 INDIA

92 INDUSTRIAL ENGINEERING DEVELOPMENT IN INDONESIA

93 INDUSTRIAL ENGINEERING IN IRAN

94 ISRAEL

95 INDUSTRIAL ENGINEERING EDUCATION IN SAUDI ARABIA

96 INDUSTRIAL ENGINEERING IN KUWAIT

97 LEBANON

98 THE EVOLUTION OF INDUSTRIAL ENGINEERING IN MEXICO

99 INDUSTRIAL ENGINEERING AND INDUSTRIAL SECTOR IN MOROCCO

100 INDUSTRIAL ENGINEERING IN SULTANATE OF OMAN

101 INDUSTRIAL ENGINEERING APPLICATIONS AND TECHNIQUES IN SUB-SAHARA REGION OF AFRICA: A CASE OF SOUTH AFRICA

102 INDUSTRIAL ENGINEERING IN SOUTH KOREA

103 DEVELOPMENT AND HIGHER EDUCATION OF INDUSTRIAL ENGINEERING IN TAIWAN

104 CURRENT AND FUTURE PROSPECTS FOR INDUSTRIAL ENGINEERING IN TURKEY

105 ADVANCEMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING PRACTICES IN THE UNITED ARAB EMIRATES

O SECTION 15: THE SCOPE OF IE: APPLICATION ENVIRONMENTS

106 THE EVOLVING DOMAIN OF INTEGRATED SYSTEMS ENGINEERING

107 CREATING CULTURES THAT DRIVE, ENABLE, AND SUPPORT FULL POTENTIAL PERFORMANCE

108 PERSONAL AND PROFESSIONAL MASTERY: LIVING WITHIN THE CONTEXT OF VISION AS A SKILL

109 THE ROLES OF INDUSTRIAL AND SYSTEMS ENGINEERING IN LARGE-SCALE ORGANIZATIONAL TRANSFORMATIONS

110 OPERATIONAL EXCELLENCE: A JOURNEY TO AN UNREACHABLE DESTINATION

111 CREATING VALUE: A BLUEPRINT AND CASE STUDY TO APPLY THE ISE SKILLSET IN ANY DOMAIN

112 THE NEW INDUSTRIAL ENGINEERING (2020): CREATING ENTERPRISE EXCELLENCE

113 IMPROVING THE SPEED AND EFFECTIVENESS OF INNOVATION BY EMBRACING CHANGING CUSTOMER DESIRES

114 FROM STABILITY TO FRAGILITY TO AGILITY: THE INDUSTRIAL AND SYSTEMS ENGINEERING STORY OF THE EVOLUTION OF SUPPLY CHAINS

115 HIGH RELIABILITY, IMPLEMENTATION SCIENCE, AND DATA-DRIVEN ORGANIZATIONS

116 REDUCING COMPLEXITY AND IMPROVING EFFICIENCY AND QUALITY OF LIFE THROUGH VIRTUAL DECISION SUPPORT, AUTOMATION, AND ROBOTICS

117 ISE AND PERFORMANCE MEASUREMENT SYSTEM DESIGN AND DEVELOPMENT

118 INDUSTRIAL ENGINEERING PROFESSIONALS AS DATA SCIENTISTS

119 THE ISE'S ROLE IN TECHNOLOGY, AUTOMATION AND BUSINESS PROCESS IMPROVEMENT

https://www.accessengineeringlibrary.com/content/book/9781260461565

There is brief desciption of every sub-section of each article in the side. Interesting to go through the articles.

Maynard's Industrial and Systems Engineering Handbook, 6th Edition

Bopaya M. Bidanda

ISBN: 9781260461565

Publication Date & Copyright: 2023 McGraw Hill

The classic industrial engineering resource—fully updated for the latest advances.

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

Recommended Reading

5 THE CONCEPT AND IMPORTANCE OF PRODUCTIVITY

Maynard’s Industrial Engineering Handbook, 5th Edition, Kjell B. Zandin

Review of "THE CONCEPT AND IMPORTANCE OF PRODUCTIVITY"

https://treasury.gov.au/speech/the-importance-of-productivity

71 SOFT SKILLS IN INDUSTRIAL ENGINEERING AND MANAGEMENT

Soft Skills for Industrial Engineers

Ud. 29.1.2025, 14.9.2024

PUb. 21.1.2023

Productivity Improvement Support to Data Science Team - Department

28.1.2025

Automation in Data Analytics: Boosting Efficiency and Productivity

Learn how automation is revolutionizing data analytics, boosting efficiency, and productivity.

https://www.castordoc.com/ai-strategy/automation-in-data-analytics

Ways to Improve Data Analyst Productivity

Last Modified: January 9, 2025

https://www.sarasanalytics.com/blog/improving-data-analyst-productivity

The Data Analyst’s Guide to AI

Unlock the power of AI software for data analysts with our comprehensive guide. Learn how AI tools can enhance your data analytics process.

By The Pecan Team

November 15, 2023

https://www.pecan.ai/blog/ai-for-data-analysts-guide/

Boost Data Analyst Productivity With These Hacks in 2024

Updated July 21st, 2023

https://atlan.com/boost-data-analyst-productivity/

Generative AI tools for Data Analysis

GenAI application studio

Build consumer facing generative and analytical AI applications

Unified data and AI experience

AI assisted 

Drag and drop building blocks

Built-in solution templates

https://www.gathr.ai/genai-application-studio/

17 Generative AI Data Analytics Tools Everyone Should Know About

Bernard Marr

Bernard Marr 

📖 Internationally Best-selling #Author🎤 #KeynoteSpeaker🤖 #Futurist💻 #Business, #Tech & #Strategy Advisor

August 16, 2024

https://www.linkedin.com/pulse/17-generative-ai-data-analytics-tools-everyone-should-bernard-marr-2h2te/

25.1.2020

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.
https://www.custora.com/solutions/data-science-productivity


Data Science: Productivity Tools
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
https://www.edx.org/course/data-science-productivity-tools

Ud. 28.1.2025

Pub. 25.1.2020

Cost Leadership Strategy and Industrial Engineering

Open access

The mediating roles of cost leadership and cost focus strategies on innovation capabilities and export performance. Results from an emerging country

Cogent Business & Management 

Volume 11, 2024 - Issue 1

https://www.tandfonline.com/doi/full/10.1080/23311975.2024.2375410#abstract

The Journal of Industrial Engineering and Strategic Management (IESM)

The Journal of Industrial Engineering and Strategic Management (IESM) is an international open-access journal (online) published semi-annual by Pouyan Press which was founded in 2019. The Journal contributes to advance the understanding of phenomena related with all aspects of industrial engineering and strategic management. IESM includes contributions, but not limited to, in the following fields: Systems Engineering, Supply Chain Management, Quality Management, Financial Engineering, Human Factors, Project Management, Leadership, Organization Structure, Methods and Techniques for Evaluating and Understanding Competitive, Production and Management Systems, Strategic Resource Allocation, entrepreneurship and Organizational Purpose, Sustainability and Corporate Social Responsibility. Articles submitted to this journal could also be concerned about the most significant recent developments on Industrial engineering and Strategic management. The journal also provides a forum where Strategic Management researchers can obtain information on relevant new developments in Project Management. We encourage the submission of articles that make a genuine Industrial engineering contribution to a challenging Project Management by Strategic Approach.

https://www.iesmj.com/

28.8.2012

Industrial engineering with its focus on efficiency, productivity and cost reduction has an important role to play  in companies which have decided to compete on cost leadership. In these companies there is special emphasis on examining product as well as processes to identify inefficiencies and wastes and minimize resources.

Industrial Engineering curriculums must include an elective subject on developing strategy perspective in IEs especially in relation to the cost leadership strategy.



Bibliography

http://www.costleadershipstrategy.com/



Investigating the tradeoff between cost leadership and differentiation
M.Sc these of Stockholm School of Economics
2007
http://arc.hhs.se/download.aspx?MediumId=315

Term Paper on Cost Leadership - Tata Steel and Reliance Industries are covered in the paper - 2008
http://www.scribd.com/doc/13637922/Cost-leadership-term-paper


Cases Studies on Total Productive Management and Competitive Advantages

Li Chang-Chung, (Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, ROC), Tsai Ping-Chen, (Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, ROC)
Asian Journal on Quality, Vol. 2 Iss: 1, pp.106 - 116

Abstract: The purpose of business strategy is to achieve competitive advantages which includes higher efficiency, better quality, more innovation and faster customer response. In other words, the business strategy is to build unique capability of lower cost and/or differentiation. In production aspect, unique capability means better production power with better performance at 3M(Man, Machine, Material) of input and PQCDSM (Product, Quality, Cost, Delivery, Safety, Moral) from output. The Total Productive Management (TPM), a series of improvement activities focused on reduction of equipment loss, is a tool to establish business competitive advantages.

In this paper, several domestic companies who won the Japan TPM Award have been studied. It is found that there is a strong cause-effect relationship between TPM and competitive advantages because: (1) TPM can change employees mindset effectively; (2) TPM can upgrade employees capabilities; (3) TPM can lead to excellent productivity.

Achieving Cost Leadership - A Sustainable and Pragmatic Approach
Booz Paper
http://www.booz.com/media/uploads/AchievingCostLeadership.pdf

Cost Leadership Strategies
http://ocw.u-tokyo.ac.jp/wp-content/uploads/lecture-notes_eng/Eco_07/e-shintaku-05-2.pdf

Leadership in Operational Excellence - Spencer Stuart
http://content.spencerstuart.com/sswebsite/pdf/lib/opX_0107.pdf

Business Level Strategies and Performance - Ph d thesis 1998
http://repositories.tdl.org/ttu-ir/bitstream/handle/2346/12825/31295012468293.pdf?sequence=1

Cost Leadership - Leadership - Deloitte
http://www.deloitte.com/view/en_CH/ch/insights/privatebankingcentreofexcellence/costleadershipinbusinessoperations/index.htm

Related LinkedIn contact

Harshal Thakare  

Supply chain Lead | DRL | IIM | COEP

Dr. Reddy's Laboratories

Hyderabad, Telangana, India 

Education    

Indian Institute of Management Mumbai     

PGDIE, Logistics, Materials, and Supply Chain Management

2013 - 2015

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

Harshal Thakare

Supply chain Lead | DRL | IIM | COEPSupply chain Lead | DRL | IIM | COEP

23.1.2025

Dr. Anji Reddy Award winner for Cost Leadership! Achieving this recognition for two consecutive years is an incredible honor.

It's a privilege to be part of a team that is dedicated to making medicine more affordable. 

https://www.linkedin.com/feed/update/urn:li:activity:7287830817228177408/

Ud. 25.1.2025

Pub. 28.8.2012

Strategic Perspectives in Industrial Engineering - 2013 - Course Page

Syllabus

1. Cost, Efficiency and Productivity - Strategic Issues

2. Scientific Management - Strategic Management Relation

3. Industrial Engineering and Cost, Efficiency and Productivity Management

4. Industrial Engineering, Strategic Cost Management and Total Cost Management

5. Importance of Cost in Porter's Theory of Competitive Advantage

6. Industrial Engineering and Value Chain Analysis

7. Total Productivity Management - Strategic Productivity Management

8. Total Industrial Engineering

9. Lean Systems and Industrial Engineering

10. Sustainability Movement and Industrial Engineering

Topics and Suggested Study Material

1. Cost, Efficiency and Productivity - Strategic Issues

      Cost Leadership Competitive Strategy
      http://nraomtr.blogspot.com/2012/08/cost-leadership-competitive-strategy.html

      Cost is a strategic issue
      Tony Grundy
      Long Range Planning
      Volume 29, Issue 1, February 1996, Pages 58–68

   
Cost is a strategic issue. It needs to be continuously optimised in the context of the entire business model of the organisation. Often, the very business model itself may need to change to ensure the organisation remains competitive. Execution of any chosen strategy has to be carefully managed to ensure the appropriate balance between revenue growth and cost. Cost management not only has to be treated as a strategic issue, but as a change which needs resources and support from the top.

PWC
http://www.pwc.co.uk/assets/pdf/pwc-strategic-cost-mgt-sep07.pdf


      Competitive Strategy and Productivity Growth, 2006 paper
      http://www.ipe.ro/rjef/rjef3_06/rjef3_06_6.pdf

      Competitiveness, Strategy and Productivity
      Chapter 2 of Stevenson, 11 edition, Operations Management
      http://highered.mcgraw-hill.com/sites/dl/free/0073525251/886181/stevenson11e_sample_ch02.pdf

     Business Process Efficiency - Honing a Competitive Edge
     Adobe - 2008 White Paper
     http://www.usfst.com/media/white%20papers/FSTUS/issue-10/Adobe_FST_US_10.pdf

2. Scientific Management - Strategic Management Relations

      Is Industrial Engineering a Strategic Function
      http://nraoiekc.blogspot.in/2012/08/is-it-industrial-engineering-strategic.html

      A New Charter for Industrial Engineers
      http://nraoiekc.blogspot.in/2012/02/new-charter-for-industrial-engineers.html

3. Industrial Engineering and Cost Management

The New Role of Industrial Engineers May Not Include Traditional Industrial Engineering Practices
Michael Sanders, Ph.D.and Kenneth Morrison, Ph.D.
Industrial & Manufacturing Engineering & Business
Kettering University

4. Industrial Engineering, Strategic Cost Management and Total Cost Management

5. Importance of Cost in Porter's Theory of Competitive Advantage

6. Industrial Engineering and Value Chain Analysis

7. Total Productivity Management

         Productivity Strategy and Business Strategy: Two Sides of the Same Coin
        Arnold S. Judson
        Interfaces, Vol. 14, No. 1, Strategic Management (Jan. - Feb., 1984), pp. 103-115

        Strategic Total Productivity Optimization
        http://nraoiekc.blogspot.in/2013/08/strategic-total-productivity.html

8. Total Industrial Engineering

9. Lean Systems and Industrial Engineering

     Lean Systems in Various Business and Industry Functional Areas
     Motion and Time Study in Lean  - Stewart and Myers - Book - 2002

10. Sustainability Movement and Industrial Engineering


Strategic Perspectives in Industrial Engineering 2012 Course Page
http://nraoiekc.blogspot.in/2012/08/strategic-perspectives-in-industrial.html

Related LinkedIn contact

Harshal Thakare  

Supply chain Lead | DRL | IIM | COEP

Dr. Reddy's Laboratories

Hyderabad, Telangana, India 

Education    

Indian Institute of Management Mumbai     

PGDIE, Logistics, Materials, and Supply Chain Management

2013 - 2015

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

Harshal Thakare

Supply chain Lead | DRL | IIM | COEPSupply chain Lead | DRL | IIM | COEP

23.1.2025

Dr. Anji Reddy Award winner for Cost Leadership! Achieving this recognition for two consecutive years is an incredible honor.

It's a privilege to be part of a team that is dedicated to making medicine more affordable. 

https://www.linkedin.com/feed/update/urn:li:activity:7287830817228177408/

Ud. 25.1.2025
Pub. 14.9 2013

Operational Excellence - The Concept - The Practice

 

Pic. Source.  https://www.linkedin.com/feed/update/urn:li:activity:7255912402729234432/

Excellence is Exceeding Customer Expectations.

Operational Excellence,  is a broader methodology that aims to improve the overall performance of an organization by aligning all aspects of the business with the company's vision and strategy. 

It emphasizes the importance of leadership, culture, and employee engagement to create and drive a culture of excellence and continuous improvement . Operational Excellence function can use all tools or techniques. Its  aim is to bring the entire organization together to strive for excellence.

https://www.reliableplant.com/operational-excellence-31886

https://instituteopex.org/what-is-operational-excellence/

https://www.ibm.com/cloud/blog/delivering-value-through-operational-excellence

https://www.forbes.com/sites/forbestechcouncil/2022/12/20/understanding-operational-excellence-and-the-continuous-optimization-of-it-operational-efficiency/

Excellence is Exceeding Customer Expectations.

Consultants

https://www.mckinsey.com/capabilities/operations/how-we-help-clients/operations-excellence-program

https://www.pwc.co.uk/services/consulting/operations/operational-excellence.html

https://www.juran.com/blog/introduction-to-operational-excellence-opex/

Operational excellence looks beyond cost reduction and process improvements towards the achievement of long-term sustainable growth. It is a mindset that embraces certain principles and tools to create a culture of excellence within an organization. Operational excellence means every employee can see, deliver and improve the flow of value to a customer.

https://www.bcg.com/capabilities/operations/end-to-end-operational-excellence

https://www2.deloitte.com/za/en/pages/strategy/solutions/operational-excellence.html

Operational Excellence

Business Improvement

The focus of Operational Excellence is a hybrid of cost containment, operational throughput and a stable work force. The objective is a management team who are equipped to operationalise business strategy, implement change in their organisation’s processes and systems, and maximise value over the life of the asset.

Deloitte’s Operational Excellence offerings assist Operational Executives to operationalise business strategy, implement improvement and change in their organisation’s processes, systems and people, as well as to maximise the value over the life of an asset or organisation.  Operational Excellence includes:

- Environmental scanning & Strategic Context

- People, Performance and Culture

- Process Optimisation

- Supply Chain and Sourcing

- Asset Care

- Asset and Resource Optimisation

- Continuous Improvement

- Management Control Systems

- Organisational Redesign and Simplification

- System Capacity and Capability

- Social Labour Plan Commitments

Process Improvement Management - Process Productivity Management for Operational/Process Excellence - 3.6% Cost Reduction per Year

https://nraoiekc.blogspot.com/2023/04/process-improvement-management.html

Companies

https://www.jpmorganchase.com/about/our-business/operational-excellence

27.10.2024

 Source.  https://www.linkedin.com/feed/update/urn:li:activity:7255912402729234432/

Sergio D'Amico, CSSBB  

I talk about continuous improvement and organizational excellence to help small business owners create a workplace culture of profitability and growth.

Blog  -   https://typeshare.co/sdamico

26.10.2024

Operational Excellence is  a system.0f 5 Pillars.

Here’s how the SQDCP five pillars can change your operations:

1️⃣ 𝗦𝗮𝗳𝗲𝘁𝘆:

- Unsafe conditions derail productivity and add costs.

- Focus on building a safe workspace, and watch efficiency rise.

2️⃣ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆:

- Quality doesn’t cost; poor quality does.

- Set high standards and fix issues at the source.

3️⃣ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆:

- Late delivery kills trust.

- Meet deadlines consistently to build client confidence.

4️⃣ 𝗖𝗼𝘀𝘁:

- Cost control isn’t about cutting, it's about using resources wisely. (Productivity of Resources - Industrial Engineering)

- Streamline processes to reduce waste, not quality.

5️⃣ 𝗣𝗲𝗼𝗽𝗹𝗲:

- People drive change; machines don’t.

- Train, motivate, and listen to your team. They’re the backbone of excellence.

Comment by Jim Beckham

Retired Director, Total Quality Management at JTEKT Corporation

https://www.linkedin.com/in/jim-beckham-1527a319/

I find the comments on priority an interesting discussion point. Let me contribute from someone who worked 14 years at one of the Toyota group of companies. We only used the first four, in priority sequence, SQDC. But it’s important to understand which stakeholder is impacted by each:

Safety- Employee stakeholder;

Quality - Customer stakeholder;

Delivery - Customer stakeholder; and

Cost - Shareholder stakeholder.

When management, an improvement team or a QC Circle follows the 8-Step Problem Solving method to make an improvement to one of these four areas, the solution for the improvement can not adversely impact the areas above. For example it a team was trying to improve productivity (Cost) and the improvement would make it more dangerous for the workers, or create a quality defect, or impact delivery, then the team would have to find another solution.

Additional Comment by Jim Beckham, Retired Director, Total Quality Management at JTEKT Corporation

Just to be clear, an improvement could be made that adversely impacts an area below and that would ok. For example, when fixing a Quality problem the solution can’t adversely impact Safety (which is above), but it could adversely impact Cost or Delivery (which are below). This is ok. It then gives the improvement team motivation to then solve the secondary Cost or Delivery problem. A little pain is always a good motivator for teams to take ownership and to improve.

Ud. 25.1.2025, 27.10.2024

Pub.  26.1.2023

Process Improvement Management - Process Productivity Management - 3.6% Cost Reduction per Year

This is to highlight and inform you the important event for industrial engineers and productivity managers. 2025 India National Productivity Week - 12 - 18 February  Theme - From Ideas to Impact: Protecting Intellectual Property for Competitive Startups.

The theme for Productivity Week 2025 provides a crucial platform to address the interconnected challenges and opportunities related to innovation, intellectual property (IP), and productivity within the Indian startup ecosystem.

For industrial engineers innovation and productivity are important themes to focus on. IEs have to organize events, participate in the event actively and promote industrial engineering as the department, function and discipline to promote productivity through innovation.

I am collecting background material to support industrial engineers in preparing for the events of the week.

Background Material - 2025 India National Productivity Week Theme - From Ideas to Impact: Protecting Intellectual Property for Competitive Startups.

https://nraoiekc.blogspot.com/2025/01/background-material-2025-india-national.html

Please share ppts etc. of the events organized in your company after the event. Thank you.

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

What are the processes under your productivity management?

Have? you prepared process charts for them?

Have you made IE measurements for them?

What is the total cost of the process for unit time period?

What is the cost of unit?

What is productivity for each resource?

Do you have time measures for each element?

Value Creation Target for IE Department.

The IE department's expenditure per month is $60,000 ((1 MSIE + 5 BSIEs + Staff)). They have to find savings of $300,000 per month. $3,600,000 per year on $100,000,000 cost of production per year.

3.6% of the process production cost per year.

Breakup of Productivity Benefit  - Sharing Scheme

Savings of $300,000 per month

Benefit break up:

IE department staff: $60,000

Investment in projects: $60,000  If this is taken as interest paid on capital investment can be in multiples of this amount.

Increase in benefits to other employees:$60,000

Benefit to customers: $60,000

Increase in profits of the company: $60,000

https://nraoiekc.blogspot.com/2020/03/value-creation-model-for-industrial.html 

Process productivity improvement and management is an important task in the operational excellence/process excellence programs/missions being launched by many companies.

Steps in Process Productivity Management

Prepare complete set of process charts and documentation.

Go through them and make notes including ideas for improvement.

Circulate process chart documentation to relevant persons and seek their suggestions.

Convene a meeting or number of meetings to display and explain and discuss process chart documentation to do brainstorming to generate ideas.

Create a team to evaluate all suggestions. Select the valuable ideas.

Develop the ideas and evaluate for technical feasibility.

Develop the ideas further and do economic feasibility. Is there RoI?

Design the solution at various levels - element - operation - process and test them.

Implement the successful solution in the process. Modify the process specification with a process change note.

Check the process after modification and adjust the process as needed.

Measure productivity and cost reduction after each quarter for at least an year as a special task.

Modern Industrial Engineering - A Book of Online Readings. PDF File. FREE Download. 

Download the Index to 500 Best Industrial Engineering ONLINE articles and essays arranged module wise. A Comprenhensive coverage of modern industrial engineering.

https://www.academia.edu/126612353/Modern_Industrial_Engineering_A_Book_of_Online_Readings

Modern Industrial Engineering - A Book of Online Readings - Online Page.

https://nraoiekc.blogspot.com/2024/12/modern-industrial-engineering-book-of.html

A Model

https://www.mdpi.com/2071-1050/16/4/1606

Identify elements (products, equipment, people, facilities, services, software, etc.), variables (qualitative and quantitative), situations, and scenarios to be analyzed.

Establish  with management, based on the information obtained in the audit and historical statistics, defining the scope, objectives, goals, deadlines, resources, technology, and restrictions of the productivity improvement project,.

The technology must be selected considering management requirements in terms of budget, information security, access, and features for efficient communication. This definition must be agreed upon with management.

Based on the statistical information, the organization chart, the information generated by the audit, and the researcher’s criteria in action, the groups must be defined. In our case, the model pre-establishes the quality, maintenance, and supervision groups, but they can establish groups such as human resources, logistics, purchasing, sales, etc. depending on the specific case.

Before deciding who will participate in the groups, it is important to carry out an evaluation of the human resource that helps us determine if it has any incompatibility with the project. After this, a meeting must be held with the operations management to define who will participate in the groups.

The objectives, goals, and deadlines for the implementation of the productivity improvement project must be transmitted to the staff, improving coordination with a communication tool in the processes. Communication norms must be established and taught to participants, establishing schedules, type of information to be transmitted, language to be used, confidentiality rules, etc.

The objectives of the productivity improvement action plan must be reviewed. In these meetings, the statistics of the previous cycle or period will be presented, the progress made regarding the goals. and the individual situations of each group will be analyzed where they will be shared with the participants of other groups to increase their level of group situational awareness.

Management of the Process Productivity

https://www.ispatguru.com/management-of-the-process-productivity/

Process Improvement and Organizational Learning: The Role of Collaboration Technologies

Ned F. Kock

Idea Group Inc (IGI), 01-Jan-1999 -  157 pages

Process improvement can itself be considerably improved by the use of information technology. Distributed and a synchronous group support systems, such as e-mail, computer conferencing and the World Wide Web are likely to play a major role in this improvement. Process Improvement and Organizational Learning: The Role of Collaboration Technologies analyzes the relationship between collaborative technologies, process improvement and organizational learning. It is based on the author's experiences in numerous process-focused organizational development projects where process improvement groups were aided by the support of collaborative technologies.

https://books.google.co.in/books?id=Q2MWwin1QSYC

https://businesstoday.lk/business-process-productivity/?print=pdf

https://community.sap.com/t5/application-development-blog-posts/enhance-your-business-process-productivity-by-enhancing-user-productivity/ba-p/12894301

https://community.sap.com/t5/additional-blogs-by-members/enhance-your-business-process-productivity-by-enhancing-user-productivity/ba-p/12892384

Full Access article

Machine Learning in Manufacturing and Industry 4.0 applications

Using process mining to improve productivity in make-to-stock manufacturing

Rafael LorenzORCID Icon,Julian Senoner,Wilfried Sihn &Torbjørn Netland

Pages 4869-4880 | Received 15 May 2020, Accepted 10 Mar 2021, Published online: 13 Apr 2021

https://www.tandfonline.com/doi/full/10.1080/00207543.2021.1906460#d1e287

https://www.scirp.org/journal/paperinformation?paperid=8664

https://iopscience.iop.org/article/10.1088/1757-899X/400/6/062017

Ud. 21.1.2025

Pub. 16.1.2025

Systematic Innovation - Introduction - Explanation

 

 Systematic innovation can be understood as a concept that includes the inventive instruments  necessary to invent the right things that need to be invented, and incorporate them into new  products and processes.

Systematic innovation is crucial for increasing design effectiveness, enhancing competitiveness and profitability.  Innovation can no longer be seen as the product of occasional inspiration. Innovation has to be learned and managed. Innovation has to be transformed into a  capability. .

 The TRIZ methodology is based on the following grounds:

 • Technical systems.

 • Levels of innovation.

 • Law of ideality.

 • Contradictions.

 Every system that performs a technical function is a technical system. Any technical system

 can contain one or more subsystems. The hierarchy of technical systems can be complex with

 many interactions.

Altshuller systematized the solutions described in patent applications

 dividing them into five levels [3]:

 • Level 1: routine solutions using methods well known in their area of specialty. The Level 1

 is not really innovative. This category is about 30% of the total.

 • Level 2: small corrections in existing systems using methods known in the industry. About

 45% of the total.

 • Level 3: major improvements that solve contradictions in typical systems of a particular

 branch of industry. About 20% of the total. This is where creative design solutions appear.

 • Level 4: solutions based on application of new scientific principles. It solves the problem by

 replacing the original technology with a new technology. About 4% of the total.

 • Level 5: innovative solutions based on scientific discoveries not previously explored. Less

 than 1% of the total.

 The TRIZ aims to assist the development of design tasks at levels 3 and 4 (about a quarter of

 the total), where the simple application of traditional engineering techniques does not produce

 notable results

The Law of Ideality states that any technical system tends to reduce costs, to reduce energy

 wastes, to reduce space and dimensional requirements, to become more effective, more

 reliable, and simpler. Any technical system, during its lifetime, tends to become more ideal.

 We can evaluate an inventive level of a technical system by its degree of Ideality.

 There are several ways to increase an ideality of a technical system.

 The TRIZ axiom of evolution reveals that, during the evolution of a technical system, im

provement of any part of that system can lead to conflict with another part.

A system conflict or contradiction occurs when the improvement of certain attributes results

 in the deterioration of others. The typical conflicts are: reliability/complexity; productivity/

 precision; strength/ductility, etc.

 77

 Traditional engineering and design practices can become insuffi

 principles or for radical improvements of existing systems. Trad

 through search of possible compromise between contradicting fact

 aims to remove contradictions and to remove compromises. 

Traditional engineering and design practices can become insufficient and inefficient for the

 implementation of new scientific principles or for radical improvements of existing systems.

 Traditional way of technical and design contradictions’ solving is through search of possible

 compromise between contradicting factors, whereas the Theory of Inventive Problem Solving

 (TRIZ) aims to remove contradictions and to remove compromises.

The inconsistencies are eliminated by modification of the entire system or by modification of

 one or more subsystems. TRIZ systematizes solutions that can be used for different technical

 fields and activities.

 In TRIZ, the problems are divided into local and global problems [1]. The problem is considered

 as local when it can be mitigated or eliminated by modifying of a subsystem, keeping the

 remaining unchanged. The problem is classified as global when it can be solved only by the

 development of a new system based on a different principle of operation.

 Over the past decades, TRIZ has developed into a set of different practical tools that can be

 used together or apart for technical problem solving and design failure analysis.

 Generally, the TRIZ’s problem solving process is to define a specific problem, formalize it,

 identify the contradictions, find examples of how others have solved the contradiction or

 utilized the principles, and finally, apply those general solutions to the particular problem.

The integral development of TRIZ consists of a set of concepts [5]:

 •Problem formulation system.

 •Physical and technical contradictions solving.

 •Concept of the ideal state of a design.

 •Analysis "Substance-Field".

 •Algorithm of Inventive Problem Solving (ARIZ).

 Altshuller found that, despite the great technological diversity, there is only 1250 typical

 system conflicts. He also identified 39 engineering parameters or product attributes that

 engineers usually try to improve.

 39 engineering parameters or product attributes that

 engineers usually try to improve.

 1. Weight of moving object

 2. Weight of nonmoving object

 3. Length of moving object

 4. Length of nonmoving object

 5. Area of moving object

 6. Area of nonmoving object

 7. Volume of moving object

 8. Volume of nonmoving object

 9. Speed

 10. Force

 11. Tension, pressure

 12. Shape

 13. Stability of object

 14. Strength

 15. Durability of moving object

 16. Durability of nonmoving object

 17. Temperature

 18. Brightness

 19. Energy spent by moving object

 20. Energy spent by nonmoving object

 21. Power

 22. Waste of energy

 23. Waste of substance

 24. Loss of information

 25. Waste of time

 26. Amount of substance

 27. Reliability

 28. Accuracy of measurement

 29. Accuracy of manufacturing

 30. Harmful factors acting on object

 31. Harmful side effects

 32. Manufacturability

 33. Convenience of use

 34. Repairability

 35. Adaptability

 36. Complexity of device

 37. Complexity of control

 38. Level of automation

 39. Productivity

Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving

Semyon D. Savransky

CRC Press, 29 Aug 2000 - Technology & Engineering - 408 pages

A comprehensive, comprehensible treatment of TRIZ, Engineering of Creativity provides a valuable opportunity for engineers, R&D managers, and consultants to learn and apply innovative concepts and techniques. The author covers every aspect of TRIZ, from the basic concepts to research and developments. He provides step-by-step guidelines, case studies from a variety of engineering disciplines, and first-hand experience in using the methodology. The book addresses both the theoretical and the practical aspects of each concept, heuristic, and tool, giving readers the ability to formulate the best possible solutions for technical systems problems and predict future developments.

https://books.google.co.in/books?id=a5LMBQAAQBAJ