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An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production

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Author
Nault, Barrie R
Li, Wei
Xue, Deyi
Tu, Yiliu
Accessioned
2016-01-04T18:40:36Z
Available
2016-01-04T18:40:36Z
Issued
2011
Subject
Flow shop scheduling
Adaptive production control
Petri nets
Simulation
Type
journal article
Metadata
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Abstract
Even though research in flow shop production scheduling has been carried out for many decades,there is still a gap between research and application especially in manufacturing paradigms such as one-of-a-kind production(OKP) that intensely challenges realtime adaptive production scheduling and control.Indeed,many of the most popular heuristics continue to use Johnson’s algorithm(1954) as their core. This paper presents a state space(SS)heuristic,integrated with a closed-loop feedback control structure,to achieve adaptive production scheduling and control in OKP. Our (SS) heuristic,because of its simplicity and computational efficiency,has the potential to become a core heuristic.Through a series of case studies,including an industrial implementation in OKP,our SS-based production scheduling and control system demonstrates significant potential to improve production efficiency.
Refereed
Yes
* Elsevier: We are able to post the post print/accepted author manuscript or the pre-print file (http://www.elsevier.com/journal-authors/author-rights-and-responsibilities#author-posting) Author's post print deposited 05/15/2015
 
Citation
Li, W., Nault, B.R., Xue, D., and Y.L. Tu, "An Efficient Heuristic for Adaptive Production Scheduling and Control in One-of-a-Kind production,"Computers and OR, 38, (2011), 267-276.
Corporate
University of Calgary
Department
Management Information Systems
Faculty
Haskayne School of Business
Institution
University of Calgary
Publisher
Elsevier
Doi
http://dx.doi.org/10.11575/PRISM/28788
Uri
http://hdl.handle.net/1880/51037
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  • Haskayne School of Business Research & Publications

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