DocumentCode :
3352171
Title :
A heuristic method for job-shop scheduling with an infinite wait buffer - from one-machine to multi-machine problems
Author :
Zhao, Z.J. ; Kim, J. ; Luo, M. ; Lau, H.C. ; Ge, S.S. ; Zhang, J.B.
Author_Institution :
Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
1198
Lastpage :
1203
Abstract :
Through empirical comparison of classical job shop problems (JSP) with multi-machine consideration, we find that the objective to minimize the sum of weighted tardiness has a better wait property compared with the objective to minimize the makespan. Further, we test the proposed Iterative Minimization Micro-model (IMM) heuristic method with the mixed integer programming (MIP) solution by CPLEX. For multi-machine problems, the IMM heuristic method is faster and achieves a better solution. Finally, for a large problem instance with 409 jobs and 30 types of machines, IMM-heuristic method is compared with ProModel and we find that the heuristic method is slightly better.
Keywords :
heuristic programming; integer programming; iterative methods; job shop scheduling; minimisation; infinite wait buffer; iterative minimization micromodel heuristic method; job shop scheduling; mixed integer programming; multimachine problems; Dispatching; Information management; Iterative methods; Job production systems; Job shop scheduling; Linear programming; Logistics; Management information systems; Minimization methods; Testing; Job Shop Scheduling; Multiple Machine; infinite in-process wait buffer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
Type :
conf
DOI :
10.1109/ICCIS.2008.4670933
Filename :
4670933
Link To Document :
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