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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wang, I Lin Wang, Yi Chi Chen, Chih Wei |
| Copyright Year | 2012 |
| Abstract | We investigate a difficult scheduling problem in a semiconductor manufacturing process that seeks to minimize the number of tardy jobs and makespan with sequence-dependent setup time, release time, due dates and tool constraints. We propose a mixed integer programming (MIP) formulation which treats tardy jobs as soft constraints so that our objective seeks the minimum weighted sum of makespan and heavily penalized tardy jobs. Although our polynomial-sized MIP formulation can correctly model this scheduling problem, it is so difficult that even a feasible solution can not be calculated efficiently for small-scale problems. We then propose a technique to estimate the upper bound for the number of jobs processed by a machine, and use it to effectively reduce the size of the MIP formulation. In order to handle real-world large-scale scheduling problems, we propose an efficient dispatching rule that assigns a job of the earliest due date to a machine with least recipe changeover (EDDLC) and try to re-optimize the solution by local search heuristics which involves interchange, translocation and transposition between assigned jobs. Our computational experiments indicate that EDDLC and our proposed reoptimization techniques are very efficient and effective. In particular, our method usually gives solutions very close to the exact optimum for smaller scheduling problems, and calculates good solutions for scheduling up to 200 jobs on 40 machines within 10 min. |
| Starting Page | 343 |
| Ending Page | 366 |
| Page Count | 24 |
| File Format | |
| ISSN | 19366582 |
| Journal | Flexible Services and Manufacturing Journal |
| Volume Number | 25 |
| Issue Number | 3 |
| e-ISSN | 19366590 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-05-25 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Scheduling Mixed integer programming Dispatching rule Local search Manufacturing, Machines, Tools Production/Logistics/Supply Chain Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Management Science and Operations Research |
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