A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory
This paper proposes a fuzzy slack-diversifying fluctuation-smoothing rule to enhance the scheduling performance in a wafer fabrication factory. The proposed rule considers the uncertainty in the remaining cycle time and is aimed at simultaneous improvement of the average cycle time, cycle time stand...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/986172 |
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| author | Toly Chen Yi-Chi Wang |
| author_facet | Toly Chen Yi-Chi Wang |
| author_sort | Toly Chen |
| collection | DOAJ |
| description | This paper proposes a fuzzy slack-diversifying fluctuation-smoothing rule to enhance the scheduling performance in a wafer fabrication factory. The proposed rule considers the uncertainty in the remaining cycle time and is aimed at simultaneous improvement of the average cycle time, cycle time standard deviation, the maximum lateness, and number of tardy jobs. Existing publications rarely discusse ways to optimize all of these at the same time. An important input to the proposed rule is the job remaining cycle time. To this end, this paper proposes a self-adjusted fuzzy back propagation network (SA-FBPN) approach to estimate the remaining cycle time of a job. In addition, a systematic procedure is also established, which can solve the problem of slack overlapping in a nonsubjective way and optimize the overall scheduling performance. The simulation study provides evidence that the proposed rule can improve the four performance measures simultaneously. |
| format | Article |
| id | doaj-art-78b5c7d1ab5d427ca1fd014bc58eb2b9 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-78b5c7d1ab5d427ca1fd014bc58eb2b92025-02-03T01:13:12ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/986172986172A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication FactoryToly Chen0Yi-Chi Wang1Department of Industrial Engineering and Systems Management, Feng Chia University, No. 100, Wenhwa Road, Seatwen, Taichung City 407, TaiwanDepartment of Industrial Engineering and Systems Management, Feng Chia University, No. 100, Wenhwa Road, Seatwen, Taichung City 407, TaiwanThis paper proposes a fuzzy slack-diversifying fluctuation-smoothing rule to enhance the scheduling performance in a wafer fabrication factory. The proposed rule considers the uncertainty in the remaining cycle time and is aimed at simultaneous improvement of the average cycle time, cycle time standard deviation, the maximum lateness, and number of tardy jobs. Existing publications rarely discusse ways to optimize all of these at the same time. An important input to the proposed rule is the job remaining cycle time. To this end, this paper proposes a self-adjusted fuzzy back propagation network (SA-FBPN) approach to estimate the remaining cycle time of a job. In addition, a systematic procedure is also established, which can solve the problem of slack overlapping in a nonsubjective way and optimize the overall scheduling performance. The simulation study provides evidence that the proposed rule can improve the four performance measures simultaneously.http://dx.doi.org/10.1155/2013/986172 |
| spellingShingle | Toly Chen Yi-Chi Wang A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory Journal of Applied Mathematics |
| title | A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory |
| title_full | A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory |
| title_fullStr | A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory |
| title_full_unstemmed | A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory |
| title_short | A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory |
| title_sort | fuzzy rule for improving the performance of multiobjective job dispatching in a wafer fabrication factory |
| url | http://dx.doi.org/10.1155/2013/986172 |
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