Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/75169
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dc.contributor.authorIbrahimov, M.en
dc.contributor.authorMohais, A.en
dc.contributor.authorSchellenberg, S.en
dc.contributor.authorMichalewicz, Z.en
dc.date.issued2012en
dc.identifier.citationInternational Journal of Intelligent Computing and Cybernetics, 2012; 5(4):444-472en
dc.identifier.issn1756-378Xen
dc.identifier.issn1756-3798en
dc.identifier.urihttp://hdl.handle.net/2440/75169-
dc.description.abstractPURPOSE – The purpose of this paper and its companion (Part II: multi-silo supply chains) is to investigate methods to tackle complexities, constraints (including time-varying constraints) and other challenges. In tis part, the paper aims to devote attention to single silo and two-silo supply chains. It also aims to discuss three models. The first model is based on the winebottling real-world system and exposes complexities of a single operational component of the supply chain. The second model extends it to two components: production and distribution. The last system is a real-world implementation of the two-component supply chain. DESIGN/METHODOLOGY/APPROACH – Evolutionary approach is proposed for a single component problem. The two-component experimental supply chain is addressed by the algorithm based on cooperative coevolution. The final problem of steel sheet production is tackled with the evolutionary algorithm. FINDINGS – The proposed systems produce solutions better than solutions proposed by human experts and in a much shorter time. ORIGINALITY/VALUE – The paper discusses various algorithms to provide the decision support for the real-world problems. The proposed systems are in the production use.en
dc.description.statementofresponsibilityMaksud Ibrahimov, Arvind Mohais and Sven Schellenberg, Zbigniew Michalewiczen
dc.language.isoenen
dc.publisherEmerald Group Publishing Ltden
dc.rights© Emerald Group Publishing Limiteden
dc.subjectGenetic algorithms; Cooperative coevolution; Coordinated supply chain; Time-varying constraints; Supply chain management; Time-varying control systemsen
dc.titleEvolutionary approaches for supply chain optimisation: Part I: single and two-component supply chainsen
dc.typeJournal articleen
dc.identifier.rmid0020123349en
dc.identifier.doi10.1108/17563781211282231en
dc.identifier.pubid22372-
pubs.library.collectionComputer Science publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Computer Science publications

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