Reconfigurable manufacturing systems: Principles, design, and future trends

Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated serial lines and flexible manufacturing systems, were introduced in the mid-1990s to address the challenges initiated by globalization. The principal goal of an RMS is to enhance the responsiveness of manufacturing systems to unforeseen changes in product demand. RMSs are costeffective because they boost productivity, and increase the lifetime of the manufacturing system. Because of the many streams in which a product may be produced on an RMS, maintaining product precision in an RMS is a challenge. But the experience with RMS in the last 20 years indicates that product quality can be definitely maintained by inserting in-line inspection stations. In this paper, we formulate the design and operational principles for RMSs, and provide a state-of-the-art review of the design and operations methodologies of RMSs according to these principles. Finally, we propose future research directions, and deliberate on how recent intelligent manufacturing technologies may advance the design and operations of RMSs.

[1]  Yan Yan,et al.  Formation of part family for reconfigurable manufacturing systems considering bypassing moves and idle machines , 2016 .

[2]  Botond Kádár,et al.  Capacity management for assembly systems with dedicated and reconfigurable resources , 2014 .

[3]  M. Reza Abdi,et al.  Grouping and selecting products: the design key of Reconfigurable Manufacturing Systems (RMSs) , 2004 .

[4]  Hui Wang,et al.  A Data-Driven Diagnostic System Utilizing Manufacturing Data Mining and Analytics , 2017 .

[5]  Tao Chen,et al.  Design and realization of a remote monitoring and diagnosis and prediction system for large rotating machinery , 2010 .

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

[7]  Paolo Renna,et al.  A Decision Investment Model to Design Manufacturing Systems based on a genetic algorithm and Monte-Carlo simulation , 2017, Int. J. Comput. Integr. Manuf..

[8]  Yoram Koren,et al.  Choosing the system configuration for high-volume manufacturing , 2018, Int. J. Prod. Res..

[9]  Yoram Koren,et al.  Value creation through design for scalability of reconfigurable manufacturing systems , 2017, Int. J. Prod. Res..

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

[11]  Ahmed M. Deif,et al.  Effect of reconfiguration costs on planning for capacity scalability in reconfigurable manufacturing systems , 2006 .

[12]  Abderrahmane Bensmaine,et al.  A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems , 2014 .

[13]  Yoram Koren,et al.  The rapid responsiveness of RMS , 2013 .

[14]  David Z. Zhang,et al.  Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system , 2014 .

[15]  Ibrahim H. Garbie,et al.  DFSME: design for sustainable manufacturing enterprises (an economic viewpoint) , 2013 .

[16]  Piyush Gupta,et al.  Reconfigurable manufacturing systems: journey and the road ahead , 2017, Int. J. Syst. Assur. Eng. Manag..

[17]  Lihui Wang,et al.  Current status of reconfigurable assembly systems , 2007, Int. J. Manuf. Res..

[18]  Jesús Racero,et al.  A systematic approach for product families formation in Reconfigurable Manufacturing Systems , 2007 .

[19]  Angappa Gunasekaran,et al.  Logical reconfiguration of reconfigurable manufacturing systems with stream of variations modelling: a stochastic two-stage programming and shortest path model , 2014 .

[20]  Tullio Tolio,et al.  A Decomposition Method to Support the Configuration / Reconfiguration of Production Systems , 2005 .

[21]  Carin Rösiö,et al.  Reconfigurable production system design – theoretical and practical challenges , 2013 .

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

[23]  Ibrahim H. Garbie,et al.  An analytical technique to model and assess sustainable development index in manufacturing enterprises , 2014 .

[24]  P. K. Jain,et al.  A novel approach for part family formation using K-means algorithm , 2013 .

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

[26]  G. Zhang,et al.  An Analytical Comparison on Cost and Performance among DMS, AMS, FMS and RMS , 2006 .

[27]  Malte Brettel,et al.  The Relevance of Manufacturing Flexibility in the Context of Industrie 4.0 , 2016 .

[28]  Fabrício Junqueira,et al.  Control architecture and design method of reconfigurable manufacturing systems , 2016 .

[29]  S. Jack Hu,et al.  Allocation of maintenance resources in mixed model assembly systems , 2013 .

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

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

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

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

[34]  André Crosnier,et al.  Collaborative manufacturing with physical human–robot interaction , 2016 .

[35]  Jun Ni,et al.  Decision support systems for effective maintenance operations , 2012 .

[36]  Yoram Koren,et al.  The impact of corporate culture on manufacturing system design , 2016 .

[37]  Lihui Wang,et al.  Human-robot collaborative assembly in cyber-physical production: Classification framework and implementation , 2017 .

[38]  Y. Koren,et al.  Manufacturing capacity planning strategies , 2009 .

[39]  J. Patrick Spicer,et al.  Simultaneous Consideration of Scalable-Reconfigurable Manufacturing System Investment and Operating Costs , 2012 .

[40]  Lyes Benyoucef,et al.  Developing a reconfigurability index using multi-attribute utility theory , 2011 .

[41]  Andrea Matta,et al.  Impact of ramp-up on the optimal capacity-related reconfiguration policy , 2007 .

[42]  Angelo Oreste Andrisano,et al.  A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems , 2014, The International Journal of Advanced Manufacturing Technology.

[43]  Fumihiko Kimura,et al.  A Design Method for Product Family under Manufacturing Resource Constraints , 2005 .

[44]  Zhou-ping Yin,et al.  Digital manufacturing—the development direction of the manufacturing technology in the 21st century , 2006 .

[45]  Li-Feng Xi,et al.  Operation Process Rebuilding (OPR)-Oriented Maintenance Policy for Changeable System Structures , 2017, IEEE Transactions on Automation Science and Engineering.

[46]  Hu Youmin,et al.  Distributed flexible reconfigurable condition monitoring and diagnosis technology , 2006 .

[47]  Jing Zhou,et al.  Integrated reconfiguration and age-based preventive maintenance decision making , 2007 .

[48]  Yoram Koren,et al.  Co-Evolution of Product Families and Assembly Systems , 2007 .

[49]  J. V. Mieghem Investment Strategies for Flexible Resources , 1998 .

[50]  Li Tang,,et al.  Concurrent Line-Balancing, Equipment Selection and Throughput Analysis for Multi-Part Optimal Line Design , 2004 .

[51]  Ahmed Azab,et al.  Mathematical Modeling for Reconfigurable Process Planning , 2007 .

[52]  Sebastián Lozano,et al.  A methodological approach for designing and sequencing product families in Reconfigurable Disassembly Systems , 2011 .

[53]  J. Birge,et al.  Optimal Portfolio of Reconfigurable and Dedicated Capacity under Uncertainty , 2002 .

[54]  Onur Kuzgunkaya,et al.  Impact of reconfiguration characteristics for capacity investment strategies in manufacturing systems , 2012 .

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

[56]  Abderrahmane Bensmaine,et al.  A Simulation-Based Genetic Algorithm Approach for Process Plans Selection in Uncertain Reconfigurable Environment , 2013, MIM.

[57]  F. Jovane,et al.  Reconfigurable Manufacturing Systems , 1999 .

[58]  Hector J. Carlo,et al.  Integrating Reconfiguration Cost Into the Design of Multi-Period Scalable Reconfigurable Manufacturing Systems , 2007 .

[59]  Ahmed M. Deif,et al.  RETRACTED ARTICLE: Effect of reconfiguration costs on planning for capacity scalability in reconfigurable manufacturing systems , 2006 .

[60]  H. ElMaraghy,et al.  Product family formation for reconfigurable assembly systems , 2014 .

[61]  A. Galip Ulsoy,et al.  Stochastic Optimal Capacity Management in Reconfigurable Manufacturing Systems , 2003 .

[62]  Xiuli Meng,et al.  Modeling of reconfigurable manufacturing systems based on colored timed object-oriented Petri nets , 2010 .

[63]  Alexandre Dolgui,et al.  A multi-objective approach for design of reconfigurable transfer lines , 2016 .

[64]  Ming Jin,et al.  An assemble-to-order production planning with the integration of order scheduling and mixed-model sequencing , 2013 .

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

[66]  Soundar R. T. Kumara,et al.  Cyber-physical systems in manufacturing , 2016 .

[67]  Jun Ni,et al.  Preventive maintenance opportunities for large production systems , 2015 .

[68]  Ahmed Azab,et al.  Semi-Generative Macro-Process Planning For Reconfigurable Manufacturing , 2007 .

[69]  A. Galip Ulsoy,et al.  Reconfigurable manufacturing systems: Key to future manufacturing , 2000, J. Intell. Manuf..

[70]  Yoram Koren,et al.  Computer control of manufacturing systems , 1983 .

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

[72]  Jay Lee,et al.  Recent advances and trends in predictive manufacturing systems in big data environment , 2013 .

[73]  Angappa Gunasekaran,et al.  Explaining the Impact of Reconfigurable Manufacturing Systems on Environmental Performance: the role of top management and organizational culture , 2017 .

[74]  Gideon Koren,et al.  Healthy Children As Subjects in Pharmaceutical Research , 2003, Theoretical medicine and bioethics.

[75]  Carin Rösiö,et al.  Towards a generic design method for reconfigurable manufacturing systems: Analysis and synthesis of current design methods and evaluation of supportive tools , 2017 .

[76]  Kathryn E. Stecke,et al.  Analysis of automotive body assembly system configurations for quality and productivity , 2009, Int. J. Manuf. Res..

[77]  Tangbin Xia,et al.  Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems , 2017, Reliab. Eng. Syst. Saf..

[78]  Xiaoli Xu,et al.  Trend prediction technology of condition maintenance for large water injection units , 2010 .

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

[80]  George Chryssolouris,et al.  Assembly system design and operations for product variety , 2011 .

[81]  Jionghua Jin,et al.  Online Eccentricity Monitoring of Seamless Tubes in Cross-Roll Piercing Mill , 2014 .

[82]  Peihua Gu,et al.  Open-architecture products , 2013 .

[83]  Yoram Koren,et al.  Designing productive manufacturing systems without buffers , 2003 .

[84]  Alexandre Dolgui,et al.  Reconfiguration of Machining Transfer Lines , 2013, Service Orientation in Holonic and Multi Agent Manufacturing and Robotics.

[85]  Deyi Xue,et al.  Recent advances in research on reconfigurable machine tools: a literature review , 2017, Int. J. Prod. Res..

[86]  Yoram Koren,et al.  Impact of Manufacturing System Configuration on Performance , 1998 .

[87]  Xianzhong Dai,et al.  Automatic Reconfiguration of Petri Net Controllers for Reconfigurable Manufacturing Systems With an Improved Net Rewriting System-Based Approach , 2009, IEEE Transactions on Automation Science and Engineering.

[88]  Andrea Matta,et al.  Optimal reconfiguration policy to react to product changes , 2008 .

[89]  Chenhui Shao,et al.  Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods , 2016 .

[90]  Ashraf Labib,et al.  A design strategy for reconfigurable manufacturing systems (RMSs) using analytical hierarchical process (AHP): A case study , 2003 .

[91]  Jian Chu,et al.  Identification of abnormal operating conditions and intelligent decision system , 2011 .

[92]  Jun Ni,et al.  Estimation of active maintenance opportunity windows in Bernoulli production lines , 2017 .

[93]  Anne-Lise Huyet,et al.  Reconfigurable assembly system configuration design approaches for product change , 2013, Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM).

[94]  Robert X. Gao,et al.  Cloud-enabled prognosis for manufacturing , 2015 .

[95]  Hoda A. ElMaraghy,et al.  Availability consideration in the optimal selection of multiple-aspect RMS configurations , 2008 .

[96]  Ming-Chuan Leu,et al.  Additive manufacturing: technology, applications and research needs , 2013, Frontiers of Mechanical Engineering.

[97]  Xinyu Li,et al.  Optimization of multi-objective integrated process planning and scheduling problem using a priority based optimization algorithm , 2015 .

[98]  Alexandre Dolgui,et al.  Decision support for design of reconfigurable rotary machining systems for family part production , 2017 .

[99]  Tullio Tolio,et al.  A probabilistic approach to workspace sharing for human–robot cooperation in assembly tasks , 2016 .

[100]  Alexandre Dolgui,et al.  Genetic algorithm for balancing reconfigurable machining lines , 2013, Comput. Ind. Eng..

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

[102]  Alexandre Dolgui,et al.  Balancing reconfigurable machining lines via a set partitioning model , 2014 .

[103]  Jionghua Jin,et al.  Algebraic expression of system configurations and performance metrics for mixed-model assembly systems , 2014 .

[104]  Jeremy J. Michalek,et al.  Balancing Marketing and Manufacturing Objectives in Product Line Design , 2006 .

[105]  S. Jack Hu,et al.  Automated generation of assembly system-design solutions , 2005, IEEE Transactions on Automation Science and Engineering.

[106]  Xi Gu The impact of maintainability on the manufacturing system architecture , 2017 .

[107]  Jun Ni,et al.  Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems , 2015 .