Modelling and optimization of multiple-aspect RMS configurations

References

• Abdi , MR and Labib , AW . 2003a . A design strategy for reconfigurable manufacturing systems (RMSs) using analytical hierarchical process (AHP): a case study . Int. J. Prod. Res , 41 : 2273 – 2299 .
   Web of Science ®Google Scholar
• Abdi , MR and Labib , AW . 2003b . A RMS design interface for products analysis . Proceedings of the CIRP 2nd International Conference on Reconfigurable Manufacturing . 2003b .
   Google Scholar
• Abdi , MR and Labib , AW . 2004 . Grouping and selecting products: the design key of reconfigurable manufacturing systems (RMSs) . Int. J. Prod. Res. , 43 : 521 – 546 .
   Web of Science ®Google Scholar
• Cochran , DS , Arinez , JF , Duda , JW and Linck , J . 2001 . A decomposition approach for manufacturing system design . J. mfg Syst. , 20 : 371 – 389 .
   Web of Science ®Google Scholar
• ElMaraghy , H . 2002 . Flexible manufacturing systems. Graduate course notes Department of Industrial and Manufacturing Systems Engineering , Canada : University of Windsor .
   Google Scholar
• Fraser , NM , Bernhardt , I , Jewkes , EM and Tajima , M . 2006 . Engineering Economics in Canada , 3rd , Toronto : Prentice-Hall Canada Inc. .
   Google Scholar
• Gen , M and Cheng , R . 2000 . Genetic Algorithms and Engineering Optimization , New York : Wiley .
   Google Scholar
• Gupta , SK , Nau , DS , Regli , WC and Zhang , G . 1994 . “ A methodology for systematic generation and evaluation of alternative operation plans ” . In Advances in Feature Based Manufacturing , Edited by: Shah , J.J. , Mantyla , M. and Nau , D.S. Amsterdam : Elsevier .
   Google Scholar
• Henderson , MR , Srinath , G , Stage , R , Walker , K and Regli , W . 1994 . “ Boundary representation-based feature identification ” . In Advances in Feature Based Manufacturing , Edited by: Shah , J.J. , Mantyla , M. and Nau , D.S. Amsterdam : Elsevier .
   Google Scholar
• Herrera , F , Lozano , M and Verdegay , JL . 1998 . Tackling real-coded genetic algorithms: operators and tools for behavioral analysis . Artif. Intell. Rev , 12 : 265 – 319 .
   Web of Science ®Google Scholar
• Holland , J . 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor, MI : University of Michigan Press .
   Google Scholar
• Hummel , KE and Brown , CW . 1989 . The role of features in the implementation of concurrent product and process design . Proceedings of ASME Winter Annual Meeting . 1989 . pp. 1 – 8 . New York : ASME .
   Google Scholar
• Kimms , A . 2000 . Minimal investment budgets for flow line configuration . IIE Trans. , 32 : 287 – 298 .
   Web of Science ®Google Scholar
• Kiritsis , D and Porchet , M . 1996 . A generic petri net model for dynamic process planning and sequence optimization . Adv. engng Software , 25 : 61 – 71 .
   Web of Science ®Google Scholar
• Koren , Y , Hu , SJ and Weber , TW . 1998 . Impact of manufacturing system configuration on performance . Ann. CIRP , 47 : 369 – 372 .
   Google Scholar
• Koren , Y , Heisel , U , Jovane , F , Moriwaki , T , Pritschow , G , Ulsoy , G and Van Brussel , H . 1999 . Reconfigurable manufacturing systems . Ann. CIRP , 48 : 527 – 540 .
   Web of Science ®Google Scholar
• Kuo , CH . 2001 . Resource allocation and performance evaluation of the reconfigurable manufacturing systems . Proceedings of the IEEE International Conference on Systems, Man and Cybernetics . 2001 . pp. 2451 – 2456 .
   Google Scholar
• Kusiak , A and Lee , GH . 1995 . Design of components and manufacturing systems for reconfigurability . Proceedings of the 1st World Conference on Integrated Design and Process Technology . 1995 . pp. 14 – 20 .
   Google Scholar
• Lee , GH . 1997 . Reconfigurability consideration design of components and manufacturing systems . Int. J. adv. mfg Technol. , 13 : 376 – 386 .
   Web of Science ®Google Scholar
• Lee , GH . 1998 . Designs of components and manufacturing systems for agile manufacturing . Int. J. Prod. Res. , 36 : 1023 – 1044 .
   Web of Science ®Google Scholar
• Li , WD , Ong , SK and Nee , AYC . 2002 . Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts . Int. J. Prod. Res. , 40 : 1899 – 1922 .
   Web of Science ®Google Scholar
• Maier-Speredelozzi , V and Hu , SJ . Selecting manufacturing system configurations based on performance using AHP. Technical Paper, Society of Manufacturing Engineers
   Google Scholar
• Maier-Speredelozzi , V , Koren , Y and Hu , SJ . 2003 . Convertibility measures for manufacturing systems . Ann. CIRP , 52 : 367 – 370 .
   Web of Science ®Google Scholar
• Makino , H and Trai , T . 1994 . New developments in assembly systems . Ann. CIRP , 43 : 501 – 522 .
   Google Scholar
• Matta , A , Tolio , T , Karaesmen , F and Dallery , Y . 2001 . An integrated approach for the configuration of automated manufacturing systems . Robot. Comput. integr. Mfg , 17 : 19 – 26 .
   Web of Science ®Google Scholar
• Mehrabi , MG , Ulsoy , AG and Koren , Y . 2000 . Reconfigurable manufacturing systems: key to future manufacturing . J. intell. Mfg , 11 : 403 – 419 .
   Web of Science ®Google Scholar
• Michalewicz , Z , Logan , TD and Swaminathan , S . 1994 . Evolutionary operators for continuous convex parameter spaces . Proceedings of the 4th International Conference on Evolutionary Computation . 1994 . pp. 84 – 107 .
   Google Scholar
• Nahmias , S . 2001 . Production and Operations Analysis , 4th , New York : McGraw-Hill .
   Google Scholar
• Ohiro , T , Myreshka , Morikawa , K and Takahashi , K . 2003 . A stochastic model for deciding an optimal production order and its corresponding configuration in a reconfigurable manufacturing system with multiple product groups . Proceedings of the CIRP 2nd International Conference on Reconfigurable Manufacturing . 2003 .
   Google Scholar
• Ong , SK , Ding , J and Nee , AYC . 2002 . Hybrid GA and SA dynamic set-up planning optimization . Int. J. Prod. Res. , 40 : 4697 – 4719 .
   Web of Science ®Google Scholar
• Shabaka , AI and ElMaraghy , HA . 2004 . Structural mapping between operation clusters and machine configuration for RMS . Proceedings of the International Workshop on Advanced Manufacturing Technologies and Integrated Systems . 2004 .
   Google Scholar
• Son , SY . 2000 . Design principles and methodologies for reconfigurable machining systems , PhD thesis, University of Michigan .
   Google Scholar
• Spicer , JP . 2002 . A design methodology for scalable machining systems. PhD thesis , University of Michigan .
   Google Scholar
• Spicer , P , Koren , Y , Shpitalni , M and Yip-Hoi , D . 2002 . Design principles for machining system configurations . Ann. CIRP , 51 : 275 – 280 .
   Web of Science ®Google Scholar
• Tang , L , Yip-Hoi , DM , Wang , W and Koren , Y . 2004 . Concurrent line-balancing, equipment selection and throughput analysis for multi-part optimal line design . Int. J. mfg Sci. Prod. , 6 : 71 – 81 .
   Google Scholar
• Tang , L , Yip-Hoi , DM , Wang , W and Koren , Y . 2005 . Selection principles on manufacturing system for part family . Proceedings of the CIRP 3rd International Conference on Reconfigurable Manufacturing . 2005 .
   Google Scholar
• Toenshoff , HK , Schnuelle , A and Rietz , W . 2001 . Planning of manufacturing systems with methods analogous to nature, in . International CIRP Design Seminar , : 255 – 260 .
   Google Scholar
• Xiaobo , Z , Jiancai , W and Zhenbi , L . 2000a . A stochastic model of a reconfigurable manufacturing system. Part 1: A framework . Int. J. Prod. Res. , 38 : 2273 – 2285 .
   Web of Science ®Google Scholar
• Xiaobo , Z , Wang , J and Luo , Z . 2000b . A stochastic model of a reconfigurable manufacturing system. Part 2: Optimal configurations . Int. J. Prod. Res. , 38 : 2829 – 2842 .
   Web of Science ®Google Scholar
• Xiaobo , Z , Wang , J and Luo , Z . 2001a . A stochastic model of a reconfigurable manufacturing system. Part 3: Optimal selection policy . Int. J. Prod. Res. , 39 : 747 – 758 .
   Web of Science ®Google Scholar
• Xiaobo , Z , Wang , J and Luo , Z . 2001b . A stochastic model of a reconfigurable manufacturing system. Part 4: Performance measure . Int. J. Prod. Res. , 39 : 1113 – 1126 .
   Web of Science ®Google Scholar
• Yamada , Y , Ookoudo , K and Komura , Y . 2003 . Layout optimization of manufacturing cells and allocation optimization of transport robots in reconfigurable manufacturing systems using particle swarm optimization . IEEE Int. Conf. intell. Rob. Syst. , 2 : 2049 – 2054 .
   Google Scholar
• Yang , S and Hu , SJ . 2000 . Productivity analysis of a six CNC machine manufacturing system with different configurations . Proceedings of the 2000 Japan–USA Flexible Automation Conference . 2000 . pp. 499 – 505 .
   Google Scholar
• Youssef , AMA and ElMaraghy , HA . 2005 . A new approach for RMS configuration selection . Proceedings of the CIRP 3rd International Conference on Reconfigurable Manufacturing . 2005 .
   Google Scholar
• Youssef , AMA and ElMaraghy , HA . 2006 . Assessment of manufacturing systems reconfiguration smoothness . Int. J. Adv. mfg Technol. , in press
   Web of Science ®Google Scholar
• Zhong , W , Maier-Speredelozzi , V , Bratzel , A , Yang , S , Chick , SE and Hu , SJ . 2000 . Performance analysis of machining systems with different configurations . Proceedings of the 2000 Japan–USA Flexible Automation Conference . 2000 . pp. 783 – 790 .
   Google Scholar