Abstract
Multi-product production systems with sequence-dependent setup times are typical in manufacturing of semiconductor chips and other electronic products. In such systems, the scheduling policies to coordinate the production of multiple product types play an important role. In this paper, we study a multi-product manufacturing system with finite buffers, sequence-dependent setup times and various scheduling policies. Using continuous time Markov chain models, we evaluate the performance of such systems under seven scheduling policies, i.e., cyclic, shortest queue, shortest processing time, shortest overall time (including setup time and processing time), longest queue, longest processing time, and longest overall time. The impact of these policies on systemthroughput are compared, and the conditions characterizing the superiority of each policy are investigated. The results of this work can provide production engineers and supervisors practical guidance to operate multi-product manufacturing systems with sequence-dependent setups. © 2011 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2011 Winter Simulation Conference, WSC 2011 |
| Pages | 2050-2061 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States Duration: 11 Dec 2011 → 14 Dec 2011 |
Publication series
| Name | Proceedings - Winter Simulation Conference |
|---|---|
| ISSN (Print) | 0891-7736 |
Conference
| Conference | 2011 Winter Simulation Conference, WSC 2011 |
|---|---|
| Place | United States |
| City | Phoenix, AZ |
| Period | 11/12/11 → 14/12/11 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
This work is supported in part by NSF Grant No. CMMI-1063656 and the National Natural Science Foundation of China (Grant No. 70771058/60834004), the 863 Program of China (2008AA04Z102). In addition, the authors are grateful to Mr. F. Hou of Intel China for valuable discussions.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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