The rapid responsiveness of RMS

Manufacturing enterprises are facing in the last decades unpredictable market changes driven by global competition. To stay competitive, these enterprises must possess new types of manufacturing systems that can rapidly respond to market changes. Reconfigurable manufacturing systems (RMSs), which were invented in the mid-1990s, are characterised by their rapid and cost-effective response to market changes, and therefore are frequently being built by global enterprises. The RMS components are Computerized Numerically Controlled (CNC) machines and some reconfigurable machines that are all connected into a system in way that enables changes in the system structure to accommodate new product types and their desired volume. Methodologies for the systematic design for rapid system modifications while maintaining consistent product quality are the cornerstones of the RMS paradigm.

[1]  Yoram Koren,et al.  The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems , 2010 .

[2]  Xianzhong Dai,et al.  Optimisation for multi-part flow-line configuration of reconfigurable manufacturing system using GA , 2010 .

[3]  Yansong Wang,et al.  Evaluation of the logistic model of the reconfigurable manufacturing system based on generalised stochastic Petri nets , 2012 .

[4]  P. Spicer *,et al.  Scalable reconfigurable equipment design principles , 2005 .

[5]  Yoram Koren,et al.  Convertibility Measures for Manufacturing Systems , 2003 .

[6]  G. Ulsoy,et al.  Vision , Principles and Impact of Reconfigurable Manufacturing Systems , 2022 .

[7]  Derek Yip-Hoi,et al.  Design Principles for Machining System Configurations , 2002 .

[8]  G. Meng,et al.  Reconfigurable layout problem , 2004 .

[9]  Yoram Koren,et al.  Design of reconfigurable manufacturing systems , 2010 .

[10]  Yoram Koren,et al.  Scalability planning for reconfigurable manufacturing systems , 2012 .

[11]  Jianjun Shi,et al.  Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes , 2006 .

[12]  Madhu Jain,et al.  A comprehensive approach to operation sequence similarity based part family formation in the reconfigurable manufacturing system , 2013 .

[13]  Qianli Xu,et al.  Domain-based production configuration with constraint satisfaction , 2012 .

[14]  Alexandre Dolgui,et al.  Graph approach for optimal design of transfer machine with rotary table , 2009 .

[15]  Zhao Xiaobo,et al.  A stochastic model of a reconfigurable manufacturing system Part 1: A framework , 2000 .

[16]  F. Musharavati.  RECONFIGURABLE MANUFACTURING SYSTEMS , 2010 .

[17]  Yoram Koren,et al.  Stream-of-Variation Theory for Automotive Body Assembly , 1997 .

[18]  Alexandre Dolgui,et al.  A special case of transfer lines balancing by graph approach , 2006, Eur. J. Oper. Res..

[19]  Madhu Jain,et al.  Optimal configuration selection for reconfigurable manufacturing system using NSGA II and TOPSIS , 2012 .

[20]  M. Reza Abdi,et al.  Product family formation and selection for reconfigurability using analytical network process , 2012 .

[21]  Alexandre Dolgui,et al.  A reactive GRASP and Path Relinking for balancing reconfigurable transfer lines , 2012 .

[22]  A. Dolgui,et al.  A heuristic approach for transfer lines balancing , 2005, J. Intell. Manuf..

[23]  Zhenbi Luo,et al.  A stochastic model of a reconfigurable manufacturing system Part 2: Optimal configurations , 2000 .