Current studentsExisting staffContact us
 

Evolutionary approaches for supply chain optimisation: Part I: single and two-component supply chains

Simple item page
dc.contributor.authorIbrahimov, M.
dc.contributor.authorMohais, A.
dc.contributor.authorSchellenberg, S.
dc.contributor.authorMichalewicz, Z.
dc.date.issued2012
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.
dc.description.statementofresponsibilityMaksud Ibrahimov, Arvind Mohais and Sven Schellenberg, Zbigniew Michalewicz
dc.identifier.citationInternational Journal of Intelligent Computing and Cybernetics, 2012; 5(4):444-472
dc.identifier.doi10.1108/17563781211282231
dc.identifier.issn1756-378X
dc.identifier.issn1756-3798
dc.identifier.urihttp://hdl.handle.net/2440/75169
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.rights© Emerald Group Publishing Limited
dc.source.urihttps://doi.org/10.1108/17563781211282231
dc.subjectGenetic algorithms
dc.subjectCooperative coevolution
dc.subjectCoordinated supply chain
dc.subjectTime-varying constraints
dc.subjectSupply chain management
dc.subjectTime-varying control systems
dc.titleEvolutionary approaches for supply chain optimisation: Part I: single and two-component supply chains
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Computer Science publications