Extension of Manufacturing System Design Decomposition to Implement Manufacturing Systems That are Sustainable

This paper offers an extension of axiomatic design theory to ensure that leaders, managers, and engineers can sustain manufacturing systems throughout the product lifecycle. The paper has three objectives: to provide a methodology for designing and implementing manufacturing systems to be sustainable in the context of the enterprise, to define the use of performance metrics and investment criteria that sustain manufacturing, and to provide a systems engineering approach that enables continuous improvement (CI) and adaptability to change. The systems engineering methodology developed in this paper seeks to replace the use of the word “lean” to describe the result of manufacturing system design. Current research indicates that within three years of launch, ninety percent of “lean implementations” fail. This paper provides a methodology that leaders, managers, and engineers may use to sustain their manufacturing system design and implementation. [DOI: 10.1115/1.4034303]

[1]  C. Krumhansl Keynote Presentation , 2004 .

[2]  大野 耐一,et al.  Toyota production system : beyond large-scale production , 1988 .

[3]  Gheorghe Dulhai The „5S” strategy for continuous improvement of the manufacturing processes in autocar exhaust , 2008 .

[4]  Xun Xu,et al.  Special Section: Advances and Challenges in Cloud Manufacturing , 2015 .

[5]  H. Johnson,et al.  Profit Beyond Measure: Extraordinary Results Through Attention to Work and People , 2000 .

[6]  A. Vizán,et al.  An integrated modelling framework to support manufacturing system diagnosis for continuous improvement , 2008 .

[7]  Nikolaos Tapoglou,et al.  Cloud based platform for optimal machining parameter selection based on function blocks and real time monitoring , 2015 .

[8]  Jay Lee,et al.  A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems , 2015 .

[9]  Ali Mollajan,et al.  A New Systems Engineering Model Based on the Principles of Axiomatic Design , 2014 .

[10]  Metin Celik,et al.  Fuzzy axiomatic design extension for managing model selection paradigm in decision science , 2009, Expert Syst. Appl..

[11]  Lihui Wang,et al.  Reconfigurable manufacturing systems: the state of the art , 2008 .

[12]  Lei Ren,et al.  Cloud manufacturing: from concept to practice , 2015, Enterp. Inf. Syst..

[13]  H. Kent Bowen,et al.  The toyota production system: an example of managing complex social/technical systems. 5 rules for designing, operating, and improving activities, activity-connections, and flow-paths , 1999 .

[14]  Robert X. Gao,et al.  Cloud Computing for Cloud Manufacturing: Benefits and Limitations , 2015 .

[15]  Gustavo Stubrich The Fifth Discipline: The Art and Practice of the Learning Organization , 1993 .

[16]  David S. Cochran,et al.  Manufacturing System Design , 1998 .

[17]  W. Jaco Smit Continuous improvement in the context of organizational culture , 1996 .

[18]  D. Cochran,et al.  Enterprise Engineering of Lean Accounting and Value Stream Structure through Collective System Design , 2014 .

[19]  Madjid Tavana,et al.  Using extended Axiomatic Design theory to reduce complexities in Global Software Development projects , 2015, Comput. Ind..

[20]  David S. Cochran,et al.  Education Approach in Japan for Management and Engineering of Systems , 2012 .

[21]  Quinton Ng,et al.  The development of a resource allocation methodology to support system design , 2002 .

[22]  Li Wang,et al.  Developing a rapid response production system for aircraft manufacturing , 2013 .

[23]  Hamid Tohidi,et al.  Six Sigma Methodology and its Relationship with Lean Manufacturing System , 2012 .

[24]  David S. Cochran,et al.  Systems Approach to Sustain Lean Organizations , 2007 .

[25]  Taesik Lee,et al.  On the Use of Axiomatic Design for Eco-Design , 2011 .

[26]  Paolo Renna,et al.  A Continuous Improvement and Monitoring Performance System: Monitor - Analysis - Action – Review (MAAR) Charts , 2011 .

[27]  David S. Cochran The Need for a Systems Approach to Enhance and Sustain Lean , 2015 .

[28]  Dario Aganovic,et al.  On Manufacturing System Development in the Context of Concurrent Engineering , 2004 .

[29]  A Y C Nee,et al.  Adaptable design: Concepts, methods, and applications , 2009 .

[30]  Anabela Carvalho Alves,et al.  Design methodologies for product oriented manufacturing systems , 2009 .

[31]  David S. Cochran,et al.  THE IMPACT OF PERFORMANCE MEASUREMENT ON MANUFACTURING SYSTEM DESIGN , 2000 .

[32]  Nadia Bhuiyan,et al.  An overview of continuous improvement: from the past to the present , 2005 .

[33]  Elizabeth A. Cudney,et al.  The use of continuous improvement techniques: A survey-based study of current practices , 2012 .

[34]  Lida Xu,et al.  IoT and Cloud Computing in Automation of Assembly Modeling Systems , 2014, IEEE Transactions on Industrial Informatics.

[35]  J. L. Stimpert World Class Manufacturing: The Next Decade , 1997 .

[36]  J. Temple Black,et al.  The design of the factory with a future , 1991 .

[37]  David S. Cochran,et al.  A decomposition approach for manufacturing system design , 2001 .

[38]  David S. Cochran DETACHMENT FROM MANAGEMENT ACCOUNTING REQUIRES SYSTEM DESIGN , 2006 .

[39]  P. Senge The fifth discipline : the art and practice of the learning organization/ Peter M. Senge , 1991 .

[40]  門田 安弘 Toyota production system : an integrated approach to just-in-time , 1993 .

[41]  Gustavo Nucci Franco,et al.  Towards an axiomatic framework to support the design of holonic systems , 2001, 12th International Workshop on Database and Expert Systems Applications.

[42]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[43]  Kathryn Cormican,et al.  An Ontology Model for Systems Engineering Derived from ISO/IEC/IEEE 15288: 2015: Systems and Software Engineering - System Life Cycle Processes , 2016 .

[44]  Marcel Thomas Michaelis,et al.  Co-Development of Products and Manufacturing Systems Using Integrated Platform Models , 2013 .

[45]  D. Cochran,et al.  Rationalizing the Design of the Toyota Production System : A Comparison of Two Approaches , 2001 .

[46]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[47]  Mohamed Haddar,et al.  A New Combined Framework for the Cellular Manufacturing Systems Design , 2008 .

[48]  Sule Itir Satoglu,et al.  A Decision Support System for Robot Selection based on Axiomatic Design Principles , 2012 .

[49]  Yingcheng Xu,et al.  Cloud computing in human resource management (HRM) system for small and medium enterprises (SMEs) , 2016 .

[50]  Kai Cheng,et al.  Design of generic modular reconfigurable platforms (GMRPS) for a product-oriented micro manufacturing system , 2008 .

[51]  Amro M. Farid,et al.  An Axiomatic Design Approach to Passenger Itinerary Enumeration in Reconfigurable Transportation Systems , 2014, IEEE Transactions on Intelligent Transportation Systems.

[52]  Taiichi Ohno,et al.  Toyota Production System : Beyond Large-Scale Production , 1988 .

[53]  Peter Bernus,et al.  Engineering Self-Designing Enterprises as Complex Systems Using Extended Axiomatic Design Theory , 2011 .

[54]  Pierre E. Brunet Modeling and analysis applications in manufacturing system design and development , 1995 .

[55]  David S. Cochran,et al.  Big data analytics with applications , 2014 .

[56]  Derrick Tate,et al.  Growth of Axiomatic Design through Industrial Practice , 1996 .

[57]  Mao-Jiun J. Wang,et al.  A decision support system for robot selection , 1991, Decis. Support Syst..

[58]  Amit Baghel An evaluation of continuous improvement methodologies and performance , 2004 .

[59]  Lihui Wang,et al.  Cloud Manufacturing: Current Trends and Future Implementations , 2015 .

[60]  David S. Cochran,et al.  The Production System Design and Deployment Framework , 1999 .

[61]  Lida Xu,et al.  A visualization platform for internet of things in manufacturing applications , 2016, Internet Res..