Article: Divergent production scheduling with multi-process routes and common inventory

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TitleDivergent production scheduling with multi-process routes and common inventory
AuthorsLuo, H1
Huang, GQ1
Shi, Y3
Qu, T1 2
KeywordsComputational results
Finished products
Fixed numbers
Inventory capacity
Manufacturing companies
Issue Date2012
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
CitationInternational Journal of Production Research, 2012, v. 50 n. 20, p. 5762-5782 [How to Cite?]
DOI: http://dx.doi.org/10.1080/00207543.2011.627387
AbstractThis research considers a scheduling problem in a divergent production system (DPS) where a single input item is converted into multiple output items. Therefore, the number of finished products is much larger than the number of input items. This paper addresses two important challenges in a real-life DPS problem faced by an aluminium manufacturing company. One challenge is that one product can be produced following different process routes that may have slightly different capabilities and capacities. The other is that the total inventory capacity is very limited in the company in the sense that a fixed number of inventory spaces are commonly shared by raw materials, WIP (work-in-process) items and finished products. This paper proposes a two-step approach to solving this problem. In the first step, an integer programming (IP) model is developed to plan the type and quantity of operations. In the second step, a particle swarm optimisation (PSO) is proposed to schedule the operations determined in the first step. The computational results based on actual production data have shown that the proposed two-step solution is appropriate and advantageous for the DPS scheduling problem in the company. © 2012 Copyright Taylor and Francis Group, LLC.
ISSN0020-7543
2011 Impact Factor: 1.115
2011 SCImago Journal Rankings: 0.046
DOIhttp://dx.doi.org/10.1080/00207543.2011.627387
DC Field
Value
dc.contributor.authorLuo, H
dc.contributor.authorHuang, GQ
dc.contributor.authorShi, Y
dc.contributor.authorQu, T
dc.date.accessioned2012-08-16T05:51:55Z
dc.date.available2012-08-16T05:51:55Z
dc.date.issued2012
dc.description.abstractThis research considers a scheduling problem in a divergent production system (DPS) where a single input item is converted into multiple output items. Therefore, the number of finished products is much larger than the number of input items. This paper addresses two important challenges in a real-life DPS problem faced by an aluminium manufacturing company. One challenge is that one product can be produced following different process routes that may have slightly different capabilities and capacities. The other is that the total inventory capacity is very limited in the company in the sense that a fixed number of inventory spaces are commonly shared by raw materials, WIP (work-in-process) items and finished products. This paper proposes a two-step approach to solving this problem. In the first step, an integer programming (IP) model is developed to plan the type and quantity of operations. In the second step, a particle swarm optimisation (PSO) is proposed to schedule the operations determined in the first step. The computational results based on actual production data have shown that the proposed two-step solution is appropriate and advantageous for the DPS scheduling problem in the company. © 2012 Copyright Taylor and Francis Group, LLC.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationInternational Journal of Production Research, 2012, v. 50 n. 20, p. 5762-5782 [How to Cite?]
DOI: http://dx.doi.org/10.1080/00207543.2011.627387
dc.identifier.doihttp://dx.doi.org/10.1080/00207543.2011.627387
dc.identifier.epage5782
dc.identifier.hkuros203272
dc.identifier.issn0020-7543
2011 Impact Factor: 1.115
2011 SCImago Journal Rankings: 0.046
dc.identifier.issue20
dc.identifier.scopuseid_2-s2.0-84867393636
dc.identifier.spage5762
dc.identifier.urihttp://hdl.handle.net/10722/159545
dc.identifier.volume50
dc.languageeng
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
dc.publisher.placeUnited Kingdom
dc.relation.ispartofInternational Journal of Production Research
dc.subjectComputational results
dc.subjectFinished products
dc.subjectFixed numbers
dc.subjectInventory capacity
dc.subjectManufacturing companies
dc.titleDivergent production scheduling with multi-process routes and common inventory
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Guangdong University of Technology
  3. South China University of Technology