Equal size lot streaming to job-shop scheduling problem using genetic algorithms

IEEE International Symposium on Intelligent Control - Proceedings

Volumn , Issue , 2004, Pages 472-476

  Chan, Felix T S ^a   Wong, T C ^a   Chan, P L Y ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; COSTS; GENETIC ALGORITHMS; PROBLEM SOLVING; PROCESS CONTROL; PUBLIC POLICY; RELIABILITY; SCHEDULING;

CAPITAL INVESTMENTS; MULTI-OBJECTIVE FUNCTIONS; SEQUENCING; WEIGHTED ABSOLUTE DEVIATION;

JOB ANALYSIS;

EID: 20344394416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Woo S., Kang S. and Park J., A Batch Splitting Heuristic for Dynamic Job Shop Scheduling Problem, Comput. Ind. Eng., vol. 33, 1997, pp 781-784.
2. Jeong H. I., Park J. and Leachman R. C., A Batch Splitting Method for a Job Shop Scheduling Problem in an MRP Environment, Int. J. Prod. Res., vol. 37, 1999, pp 3583-3598.
3. Kalir A. A. and Sarin S. C., A Near-optimal Heuristic for the Sequencing Problem in Multiplebatch Flow-shops with Small Equal Sublots, Int. J. Manage. Sci., vol. 29, 2001, pp 577-584.
4. Kumar S., Bagchi T. P. and Sriskandarajah C., Lot Streaming and Scheduling Heuristics for m-machine No-wait Flowshops, Computers Ind. Eng., vol. 38, 2000, pp 149-172.
5. Yoon S. H. and Ventura J. A., An Application of Genetic Algorithms to Lot-streaming Flow Shop Scheduling, HE Trans., vol. 34, 2002, pp 779-787.
6. Trietsch D. and Baker K. R., Basic Techniques for Lot Streaming, Ops. Res., vol. 6, 1993, pp 1065-1076.
7. Dauzère-pérès S. and Lasserre J. B., Lot Streaming in Job-shop Scheduling. Ops. Res., vol. 45, 1997, pp 584-595.
8. Holland J. H., Adaption in Natural and Artificial Systems, The University of Michigan Press, Ann Arbor; 1975.
9. Cheng R., Gen M. and Tsujimura Y., A Tutorial Survey of Job-shop Scheduling Problems Using Genetic Algorithms, Part II: Hybrid Genetic Search Strategies. Computers Ind. Eng., vol. 36, 1999, pp 343-364.
10. Croce F. D., Tadei R. and Volta G., A Genetic Algorithm for the Job Shop Problem. Computers Ops. Res., vol. 22, 1995, pp 15-24.
11. Ono I., Yamamura M. and Kobayashi S., "A Genetic Algorithm for Job-shop Scheduling Problems Using Job-based Order Crossover", in International Conference on Evolutionary Computation, Nayoya, Japan, 1996, pp 547-552.
12. Adams J., Balas E. and Zawack D., The Shifting Bottleneck Procedure for Job Shop Scheduling. Manage. Sci., vol. 34, 1988, pp 391-401.