Flexible job-shop scheduling problem under resource constraints

References

• Baykasoğlu , A . 2002 . Linguistic-based meta-heuristic optimization model for flexible job shop scheduling . Int. J. Prod. Res. , 40 : 4523 – 4543 .
   Web of Science ®Google Scholar
• Brandimarte , P . 1993 . Routing and scheduling in a flexible job shop by taboo search . Ann. Oper. Res. , 41 : 157 – 183 .
   Google Scholar
• Brucker , P and Schile , R . 1990 . Job-shop scheduling with multi-purpose machines . Computing , 45 : 369 – 375 .
   Web of Science ®Google Scholar
• Caprihan , R and Wadhwa , S . 1997 . Impact of routing flexibility on the performance of an FMS — a simulation study . Int. J. Flex. Manuf. Sys. , 9 : 273 – 298 .
   Google Scholar
• Chan , FTS , Wong , TC and Chan , PLY . 2005 . A genetic algorithm-based approach to machine assignment problem . Int. J. Prod. Res. , 43 : 2451 – 2472 .
   Web of Science ®Google Scholar
• Cheng , R , Gen , M and Tsujimura , Y . 1999 . A tutorial survey of job-shop scheduling problems using genetic algorithms, Part II: Hybrid genetic search strategies . Comput. Ind. Eng. , 36 : 343 – 364 .
   Web of Science ®Google Scholar
• Choi , IC and Choi , DS . 2002 . A local search algorithm for jobshop scheduling problems with alternative operations and sequence-dependent set-up . Comput. Ind. Eng. , 42 : 43 – 58 .
   Web of Science ®Google Scholar
• Dauzère-Pérès , S and Paulli , J . 1997 . An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search . Ann. Oper. Res. , 70 : 281 – 306 .
   Web of Science ®Google Scholar
• Fisher , H and Thompson , GL . 1963 . “ Probabilistic learning combinations of local job-shop scheduling rules ” . In Industrial Scheduling , Edited by: Muth , JF and Thompson , GL . 225 – 251 . Englewood Cliffs, NJ : Prentice-Hall .
   Google Scholar
• Hartmann , S . 2002 . A self-adapting genetic algorithm for project scheduling under resource constraints . Nav. Res. Logist. , 49 : 433 – 448 .
   Web of Science ®Google Scholar
• Holland , JH . 1975 . Adaptation in the Natural and Artificial Systems , Ann Arbor, MI : University of Michigan Press .
   Google Scholar
• Hui , IK and Lau , HCW . 2003 . A dynamic inventory-production scheduling model for small scale organizations . Int. J. Adv. Manuf. Tech. , 22 : 89 – 100 .
   Web of Science ®Google Scholar
• Hurink , J , Jurisch , B and Thole , M . 1994 . Tabu search for the job shop scheduling problem with multi-purpose machines . Oper. Res. Spektr. , 15 : 205 – 215 .
   Google Scholar
• Kacem , I , Hammadi , S and Borne , P . 2002 . Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic . J. Math. Comput. Simul. , 60 : 245 – 276 .
   Web of Science ®Google Scholar
• Kim , YK , Park , K and Ko , J . 2003 . A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling . Comput. Oper. Res. , 30 : 1151 – 1171 .
   Web of Science ®Google Scholar
• Lawrence , S . 1984 . Resource-constrained Project Scheduling: An Experimental Investigation of Heuristic Scheduling Techniques , Pittsburgh, PA : Carnegie Mellon University . GSIA
   Google Scholar
• Lee , MK , Luong , LHS and Abhary , K . 1997 . A genetic algorithm based cell design considering alternative routing . Int. J. Comput.-Integr. Manuf. , 10 : 93 – 108 .
   Web of Science ®Google Scholar
• Mastrolilli , M and Gambardella , LM . 2000 . Effective neighbourhood functions for the flexible job shop problem . J. Schedul. , 3 : 3 – 20 .
   Google Scholar
• Norman , BA and Bean , JC . 1999 . A genetic algorithm methodology for complex scheduling problems . Nav. Res. Logist. , 46 : 199 – 211 .
   Web of Science ®Google Scholar
• Ono , I , Yamamura , M and Kobayashi , S . 1996 . “ A genetic algorithm for job-shop scheduling problems using job-based order crossover ” . In Proceedings of an International Conference on Evolutionary Computation , 547 – 552 . Japan : Nayoya University .
   Google Scholar
• Rossi , A and Dini , G . 2001 . An evolutionary approach to complex job-shop and flexible manufacturing system scheduling . Proc. Inst. Mech. Eng. B , 215 : 233 – 245 .
   Web of Science ®Google Scholar
• Rossi , A and Dini , G . 2000 . Dynamic scheduling of FMS using a real-time genetic algorithm . Int. J. Prod. Res. , 38 : 1 – 20 .
   Web of Science ®Google Scholar
• Tung , LF , Li , L and Nagi , R . 1999 . Multi-objective scheduling for the hierarchical control of flexible manufacturing systems . Int. J. Flex. Manuf. Sys. , 11 : 379 – 409 .
   Google Scholar
• Wadhwa , S and Rao , KS . 2000 . Flexibility: an emerging meta-competence for managing high technology . Int. J. Tech. Manag. , 7–8 : 820 – 845 .
   Web of Science ®Google Scholar
• Wong , TN , Chan , LCF and Lau , HCW . 2003 . Machining process sequencing with fuzzy expert system and genetic algorithms . Eng. Comput. , 19 : 191 – 202 .
   Web of Science ®Google Scholar