Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2008.4670933
Title: A heuristic method for job-shop scheduling with an infinite wait buffer - From one-machine to multi-machine problems
Authors: Zhao, Z.J.
Kim, J.
Luo, M.
Lau, H.C.
Ge, S.S. 
Zhang, J.B.
Keywords: Inhnite in-process wait buffer
Job Shop Scheduling
Multiple Machine
Issue Date: 2008
Citation: Zhao, Z.J.,Kim, J.,Luo, M.,Lau, H.C.,Ge, S.S.,Zhang, J.B. (2008). A heuristic method for job-shop scheduling with an infinite wait buffer - From one-machine to multi-machine problems. 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCIS.2008.4670933
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. © 2008 IEEE.
Source Title: 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/68828
ISBN: 9781424416745
DOI: 10.1109/ICCIS.2008.4670933
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.