1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2008.4670933
DC FieldValue
dc.titleA heuristic method for job-shop scheduling with an infinite wait buffer - From one-machine to multi-machine problems
dc.contributor.authorZhao, Z.J.
dc.contributor.authorKim, J.
dc.contributor.authorLuo, M.
dc.contributor.authorLau, H.C.
dc.contributor.authorGe, S.S.
dc.contributor.authorZhang, J.B.
dc.date.accessioned2014-06-19T02:53:41Z
dc.date.available2014-06-19T02:53:41Z
dc.date.issued2008
dc.identifier.citationZhao, 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. <a href="https://doi.org/10.1109/ICCIS.2008.4670933" target="_blank">https://doi.org/10.1109/ICCIS.2008.4670933</a>
dc.identifier.isbn9781424416745
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/68828
dc.description.abstractThrough 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCIS.2008.4670933
dc.sourceScopus
dc.subjectInhnite in-process wait buffer
dc.subjectJob Shop Scheduling
dc.subjectMultiple Machine
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICCIS.2008.4670933
dc.description.sourcetitle2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
dc.description.page-
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple 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.