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Scheduling policies in multi-product manufacturing systems with sequence-dependent setup times

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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 languageEnglish
Title of host publicationProceedings of the 2011 Winter Simulation Conference, WSC 2011
Pages2050-2061
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 Winter Simulation Conference, WSC 2011 - Phoenix, AZ, United States
Duration: 11 Dec 201114 Dec 2011

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2011 Winter Simulation Conference, WSC 2011
PlaceUnited States
CityPhoenix, AZ
Period11/12/1114/12/11

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)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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