Optimizing production smoothing decisions via batch selection for mixed-model just-in-time manufacturing systems with arbitrary setup and processing times

References

• Amaral , ARS and Wright , M . 2001 . Experiments with strategic oscillation algorithm for the pallet loading problem . Int. J. Prod. Res. , 39 : 2341 – 2351 .
   Web of Science ®Google Scholar
• Chakravarty , AK and Shtub , A . 1985 . Balancing mixed model lines with in-process inventories . Man. Sci. , 31 : 1161 – 1174 .
   Web of Science ®Google Scholar
• Dar-el , EM and Cother , RF . 1975 . Assembly line sequencing for model mix . Int. J. Prod. Res. , 13 : 463 – 477 .
   Google Scholar
• Dar-el , EM and Rabinovitch , M . 1988 . Optimal planning and scheduling of assembly lines . Int. J. Prod. Res. , 26 : 1433 – 1450 .
   Web of Science ®Google Scholar
• Ding , FY and Cheng , L . 1993 . A simple sequencing algorithm for mixed-model assembly lines in just-in-time production systems . Oper. Res. Lett. , 13 : 27 – 36 .
   Web of Science ®Google Scholar
• Dowsland , KA . 1998 . Nurse scheduling with tabu search and strategic oscillation . Eur. J. Oper. Res. , 106 : 393 – 407 .
   Web of Science ®Google Scholar
• Glover , F . 1977 . Heuristics for integer programming using surrogate constraints . Dec. Sci. , 8 : 156 – 166 .
   Google Scholar
• Glover , F . 1998 . “ A template for scatter search and path relinking ” . In Selected Papers from the Third European Conference on Artificial Evolution, Lecture Notes in Computer Science , Edited by: Hao , JK , Lutton , E , Ronald , E , Schoenauer , M and Snyers , D . Vol. 1354 , 13 – 54 . Berlin : Springer .
   Google Scholar
• Glover , F . 1999 . “ Scatter search and path relinking ” . In New Ideas in Optimization , Edited by: Corne , D , Dorigo , M and Glover , F . 297 – 316 . New York : McGraw Hill .
   Google Scholar
• Glover , F . 2000 . “ Multi-start and strategic oscillation methods—Principles to exploit adaptive memory: a tutorial on unexplored opportunities ” . In Computing Tools for Modeling, Optimization and Simulation: Interfaces in Computer Science and Operations Research , Edited by: Laguna , M and Gozales Velarde , JL . 1 – 24 . Dordrecht : Kluwer Academic .
   Google Scholar
• Goldberg , DE . 1989 . Genetic Algorithms in Search, Optimization, and Machine Learning , Reading, MA : Addison-Wesley .
   Google Scholar
• Holland , J . 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor, MI : The University of Michigan Press .
   Google Scholar
• Kelly , JP , Golden , BL and Assad , AA . 1993 . Large-scale controlled rounding using tabu search with strategic oscillation . Ann. Oper. Res. , 41 : 69 – 84 .
   Google Scholar
• Kubiak , W and Sethi , S . 1991 . A note on ‘level schedules for mixed-model assembly lines in just-in-time production systems’ . Man. Sci , 37 : 121 – 122 .
   Web of Science ®Google Scholar
• Macaskill , JLC . 1972 . Production-line balances for mixed-model lines . Man. Sci , 19 : 423 – 434 .
   Web of Science ®Google Scholar
• McMullen , PR . 1998 . JIT sequencing for mixed-model assembly lines with setups using tabu search . Prod. Plan. & Con. , 9 : 504 – 510 .
   Web of Science ®Google Scholar
• McMullen , PR . 2001a . An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives . Art. Intell. Eng. , 15 : 309 – 317 .
   Google Scholar
• McMullen , PR . 2001b . An efficient frontier approach to addressing JIT sequencing problems with setups via search heuristics . Comp. Ind. Eng. , 41 : 335 – 353 .
   Web of Science ®Google Scholar
• McMullen , PR . 2001c . A Kohonen self-organizing map approach to addressing a multiple objective, mixed-Model JIT sequencing problem . Int. J. Prod. Econ. , 72 : 59 – 71 .
   Web of Science ®Google Scholar
• McMullen , PR and Frazier , GV . 2000 . A simulated annealing approach to mixed-model sequencing with multiple objectives on a just-in-time line . IIE Trans. , 32 : 679 – 686 .
   Web of Science ®Google Scholar
• McMullen , PR , Tarasewich , P and Frazier , GV . 2000 . Using genetic algorithms to solve the multi-product JIT sequencing problem with set-ups . Int. J. Prod. Res. , 38 : 2653 – 2670 .
   Web of Science ®Google Scholar
• Miltenburg , J . 1989 . Level schedules for mixed-model assembly lines in just-in-time production systems . Man. Sci , 35 : 192 – 207 .
   Web of Science ®Google Scholar
• Miltenburg , J , Steiner , G and Yeomans , S . 1990 . A dynamic programming algorithm for scheduling mixed-model just-in-time production systems . Math. Comp. Mod. , 13 : 57 – 66 .
   Web of Science ®Google Scholar
• Osman , IH and Laporte , G . 1996 . Metaheuristics: a bibliography . Ann. Oper. Res. , 63 : 513 – 623 .
   Web of Science ®Google Scholar
• Reeves , CR . 1993 . Modern Heuristic Techniques for Combinatorial Problems , New York : Wiley .
   Google Scholar
• Reeves , CR . 1997 . Genetic algorithms for the operations researcher . INFORMS J. Comp. , 9 : 231 – 250 .
   Google Scholar
• Thomopoulos , NT . 1967 . Line balancing-sequencing for mixed-model assembly . Man. Sci , 14 : B59 – B75 .
   Google Scholar
• Thomopoulos , NT . 1970 . Mixed model line balancing with smoothed station assignments . Man. Sci , 16 : 593 – 603 .
   Web of Science ®Google Scholar
• Yavuz , M and Tufekci , S . 2004a . The single-level batch production smoothing problem: an analysis and a heuristic solution , Gainesville, FL : Department of Industrial and Systems Engineering, University of Florida . No. 05
   Google Scholar
• Yavuz , M and Tufekci , S . Some lower bounds on the mixed-model level-scheduling problems . Proceedings of the 10th International Conference on Industry, Engineering and Management Systems ,
   Google Scholar