A multi-criteria adaptive control scheme based on neural networks and fuzzy inference for DRC manufacturing systems

References

• Akyol , DE and Bayhan , GM . 2007 . A review on evolution of production scheduling with neural networks . Computers & Industrial Engineering , 53 ( 1 ) : 95 – 122 .
   Web of Science ®Google Scholar
• Araz , UO . 20074 . Multi-criteria real-time scheduling approaches for dual resource constrained manufacturing systems. Thesis (Phd) , Turkey : Dokuz Eylül University .
   Google Scholar
• Araz , OU . 2007b . “ Real-time controlled multi-objective scheduling through ANNs and fuzzy inference systems: the case of DRC manufacturing ” . In Computational Science–ICCS 2007-Lecture Notes in Computer Science , Edited by: Shi , Y , van Albada , GD , Dongarra , J and Sloot , PMA . 973 – 976 . Heidelberg : Springer Berlin .
   Google Scholar
• Arzi , Y and Iaroslavitz , L . 1999 . Neural network-based adaptive production control system for a flexible manufacturing cell under a random environment . IIE Transactions , 31 ( 3 ) : 217 – 230 .
   Web of Science ®Google Scholar
• Baker , KR . 1984 . Sequencing rules and due-date assignments in a job shop . Management Science , 30 ( 9 ) : 1093 – 1104 .
   Web of Science ®Google Scholar
• Blackstone , JH , Phillip , DT and Hong , GL . 1982 . A state of the art survey of dispatching rules for manufacturing job shop operations . International Journal of Production Research , 20 ( 1 ) : 27 – 45 .
   Web of Science ®Google Scholar
• Bobrowski , PM and Park , PS . 1993 . An evaluation of labor assignment rules when workers are not perfectly interchangeable . Journal of Operation Management , 11 ( 3 ) : 257 – 268 .
   Google Scholar
• Bokhorst , JAC , Slomp , J and Gaalman , GJC . 2004 . On the who-rule in dual resource constrained (DRC) manufacturing systems . International Journal of Production Research , 42 ( 23 ) : 5049 – 5074 .
   Web of Science ®Google Scholar
• Canbolat , YB and Gundogar , E . 2004 . Fuzzy priority rule for job shop scheduling . Journal of Intelligent Manufacturing , 15 ( 4 ) : 527 – 533 .
   Google Scholar
• Chan , FTS and Chan , HK . 2001 . Dynamic scheduling for a flexible manufacturing system-the pre-emptive approach . International Journal Advance Manufacturing Technology , 17 ( 10 ) : 760 – 768 .
   Google Scholar
• Chan , FTS , Chan , HK and Kazerooni , A . 2002 . A fuzzy multi-criteria decision-making technique for evaluation of scheduling rules . International Journal Advance Manufacturing Technology , 20 ( 2 ) : 103 – 113 .
   Google Scholar
• Chan , FTS . 2003 . Analysis of dynamic dispatching rules for a flexible manufacturing system . Journal of Materials Processing Technology , 138 ( 1–3 ) : 325 – 331 .
   Web of Science ®Google Scholar
• Chandra , J and Talavage , J . 1991 . Intelligent dispatching for flexible manufacturing . International Journal of Production Research , 29 ( 11 ) : 2259 – 2278 .
   Web of Science ®Google Scholar
• Chen , FF , Huang , J and Centeno , MA . 1999 . Intelligent control of rail-guided vehicles and load/unload operations in a flexible manufacturing system . Journal of Intelligent Manufacturing , 10 ( 5 ) : 405 – 421 .
   Google Scholar
• Chen , W and Muraki , M . 1997 . An action strategy generation framework for an on-line scheduling and control system in batch processes with neural networks . International Journal of Production Research , 35 ( 12 ) : 3483 – 3507 .
   Web of Science ®Google Scholar
• Cho , H and Wysk , RA . 1993 . A robust adaptive scheduler for an intelligent workstation controller . International Journal of Production Research , 31 ( 4 ) : 771 – 789 .
   Web of Science ®Google Scholar
• Dominic , PDD , Kaliyamoorthy , S and Kumar , MS . 2004 . Efficient dispatching rules for dynamic job shop scheduling . International Journal Advance Manufacturing Technology , 24 ( 1–2 ) : 70 – 75 .
   Web of Science ®Google Scholar
• Elvers , DA and Treleven , MD . 1985 . Job-shop vs. hybrid flow-shop routing in a dual resource constrained system . Decision Sciences , 16 ( 2 ) : 213 – 222 .
   Web of Science ®Google Scholar
• Fonseca , DJ , Navaresse , D and Moynihan , GP . 2003 . Simulation metamodeling through artificial neural networks . Engineering Applications of Artificial Intelligence , 16 ( 3 ) : 177 – 183 .
   Web of Science ®Google Scholar
• Hottenstein , MP and Bowman , SA . 1998 . Cross-training and worker flexibility: a review of DRC system research . The Journal of High Technology Management Research , 9 ( 2 ) : 157 – 174 .
   Google Scholar
• Ishii , N and Talavage , J . 1991 . A transient based real-time scheduling algorithms in FMS . International Journal of Production Research , 29 ( 12 ) : 2501 – 2520 .
   Web of Science ®Google Scholar
• Jeong , K-C and Kim , YD . 1998 . A real time scheduling mechanism for a flexible manufacturing system: using simulation and dispatching rules . International Journal of Production Research , 36 ( 9 ) : 2609 – 2626 .
   Web of Science ®Google Scholar
• Kher , HV . 2000 . Examination of flexibility acquisition policies in dual resource constrained job shops with simultaneous worker learning and forgetting effects . Journal of the Operational Research Society , 51 ( 5 ) : 592 – 601 .
   Web of Science ®Google Scholar
• Kher , HV and Fry , TD . 2001 . Labor flexibility and assignment policies in a job shop having incommensurable objectives . International Journal of Production Research , 39 ( 11 ) : 2295 – 2311 .
   Web of Science ®Google Scholar
• Kilmer , RA , Smith , A and Shuman , LJ . 1997 . An emergency department simulation and neural network metamodel . Journal of The Society for Health Systems , 5 ( 3 ) : 63 – 79 .
   PubMedGoogle Scholar
• Kim , CD and Kim , YD . 1994 . Simulation based real-time scheduling in a flexible manufacturing system . Journal of Manufacturing System , 13 ( 2 ) : 85 – 93 .
   Web of Science ®Google Scholar
• Kusiak , A and Chen , M . 1988 . Expert systems for planning and scheduling manufacturing systems . European Journal of Operational Research , 34 ( 2 ) : 113 – 130 .
   Web of Science ®Google Scholar
• Kutanoglu , E and Sabuncuoglu , I . 2001 . Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop . Journal of Manufacturing System , 20 ( 4 ) : 264 – 279 .
   Web of Science ®Google Scholar
• Law , AM and Kelton , WD . 1991 . Simulation modeling and analysis , New York : McGraw Hill .
   Google Scholar
• Lee , C-Y . 1989 . A solution to the multiple set-up problem with dynamic demand . IIE Transactions , 21 ( 3 ) : 266 – 270 .
   Web of Science ®Google Scholar
• Li , DC , Chen , LS and Lin , YS . 2003 . Using functional virtual population as assistance to learn scheduling knowledge in dynamic manufacturing environments . International Journal of Production Research , 41 ( 17 ) : 4011 – 4024 .
   Web of Science ®Google Scholar
• Liao , C-J and Lin , H-T . 1998 . A case study in a dual resource constrained job shop . International Journal of Production Research , 16 ( 11 ) : 3095 – 3111 .
   Google Scholar
• Lippman , RP . 1987 . An introduction to computing with neural nets . IEEE ASSP Magazine , 4 ( 2 ) : 4 – 22 .
   Google Scholar
• Malhotra , MK and Kher , HV . 1994 . An evaluation of worker assignment policies in dual resource-constrained job shops with heterogeneous resources and worker transfer delays . International Journal of Production Research , 32 ( 5 ) : 1087 – 1103 .
   Web of Science ®Google Scholar
• Mamdani , EH and Assilian , S . 1975 . An experiment in linguistic synthesis with a fuzzy logic controller . International Journal of Man-Machine Studies , 7 ( 1 ) : 1 – 13 .
   Google Scholar
• Min , HS , Yih , Y and Kim , CO . 1998 . A competitive neural network approach to multi-objective FMS scheduling . International Journal of Production Research , 36 ( 7 ) : 1749 – 1765 .
   Web of Science ®Google Scholar
• Min , HS and Yih , Y . 2003 . Development of a real-time multi-objective scheduler for a semiconductor fabrication system . International Journal of Production Research , 41 ( 10 ) : 2345 – 2364 .
   Web of Science ®Google Scholar
• Montgomery , DC . 2001 . Design and analysis of experiments , 5th , New York : John-Willey & Sons .
   Google Scholar
• Ouelhadj , D and Petrovic , S . 2007 . Survey of dynamic scheduling in manufacturing systems . Journal of Scheduling , [In press]
   Google Scholar
• Pegden , CD , Shannon , RE and Sadowski , RP . 1990 . Introduction to simulation using SIMAN , New York : McGraw-Hill .
   Google Scholar
• Pierreval , H . 1992 . Expert system for selecting priority rules in flexible manufacturing systems . Expert Systems with Applications , 5 ( 1 ) : 51 – 57 .
   Google Scholar
• Pierreval , H and Mebarki , N . 1997 . Dynamic selection of dispatching rules for manufacturing system scheduling . International Journal of Production Research , 35 ( 6 ) : 1575 – 1591 .
   Web of Science ®Google Scholar
• Priore , P . 2006 . A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems . Engineering Applications of Artificial Intelligence , 19 ( 3 ) : 247 – 255 .
   Web of Science ®Google Scholar
• Rajendran , C and Holthaus , O . 1999 . A comparative study of dispatching rules in dynamic flowshops and jobshops . European Journal of Operational Research , 116 ( 1 ) : 156 – 170 .
   Web of Science ®Google Scholar
• Sabuncuoglu , I . 1998 . A study of scheduling rules of flexible manufacturing systems: a simulation approach . International Journal of Production Research , 36 ( 2 ) : 527 – 546 .
   Web of Science ®Google Scholar
• Sabuncuoglu , I and Kizilisik , OB . 2003 . Reactive scheduling in a dynamic and stochastic environment . International Journal of Production Research , 41 ( 17 ) : 4211 – 4231 .
   Web of Science ®Google Scholar
• Shnits , B and Sinreich , D . 2006 . Controlling flexible manufacturing systems based on a dynamic selection of the appropriate operational criteria and scheduling policy . International Journal of Flexible Manufacturing System , 18 ( 1 ) : 1 – 27 .
   Google Scholar
• Sim , SK , Yeo , KT and Lee , WH . 1994 . An expert neural network system for dynamic job shop scheduling . International Journal of Production Research , 32 ( 8 ) : 1759 – 1773 .
   Web of Science ®Google Scholar
• Singh , A , Mehta , NK and Jain , PK . 2007 . Multicriteria dynamic scheduling by swapping of dispatching rules . International Journal Advanced Manufacturing Technology , 34 ( 9–10 ) : 988 – 1007 .
   Google Scholar
• Treleven , MD and Elvers , DA . 1985 . An investigation of labor assignment rules in a dual-constrained job shop . Journal of Operation Management , 6 ( 1 ) : 51 – 67 .
   Google Scholar
• Treleven , MD . 1987 . Applications and implementation. The timing of labor transfers in dual resource-constrained systems: ‘push’ vs. ‘pull’ rules . Decision Sciences , 18 ( 1 ) : 73 – 88 .
   Web of Science ®Google Scholar
• Treleven , MD . 1989 . A review of the dual resource constrained system research . IIE Transactions , 21 ( 3 ) : 279 – 287 .
   Web of Science ®Google Scholar
• Weeks , JK and Fryer , JS . 1976 . A simulation study of operating policies in a hypothetical dual constrained job shop . Management Science , 22 ( 12 ) : 1362 – 1371 .
   Web of Science ®Google Scholar
• Wu , DS and Wysk , RA . 1989 . An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing . International Journal of Production Research , 27 ( 9 ) : 1603 – 1624 .
   Web of Science ®Google Scholar
• Xiang , W and Lee , HP . 2007 . Ant colony intelligence in multi-agent dynamic manufacturing scheduling . Engineering Applications of Artificial Intelligence , 21 ( 1 ) : 73 – 85 .
   Google Scholar
• Yildiz , G and Tunali , S . 2007 . Response surface methodology based simulation optimization of a CONWIP controlled dual resource constrained system . International Journal Advanced Manufacturing Technology , 36 ( 11–12 ) : 1051 – 1060 .
   Google Scholar
• Yoon , HJ and Shen , W . 2006 . Simulation-based real-time decision making for manufacturing automation systems: a review . International Journal of Manufacturing Technology and Management , 8 ( 1/2/3 ) : 188 – 202 .
   Google Scholar
• Yu , L , Shih , HM and Sekiguchi , T . 1999 . Fuzzy inference based multiple criteria FMS scheduling . International Journal of Production Research , 37 ( 4 ) : 2315 – 2323 .
   Google Scholar