Advanced planning in vertically integrated supply chains

dc.contributor.authorIbrahimov, M.
dc.contributor.authorMohais, A.
dc.contributor.authorSchellenberg, S.
dc.contributor.authorMichalewicz, Z.
dc.contributor.editorBouvry, P.
dc.contributor.editorGonzalez Velez, H.
dc.contributor.editorKolodziej, J.
dc.date.issued2011
dc.description.abstractDuring the last few years most production-based businesses have been under enormous pressure to improve their top-line growth and bottom-line savings. As a result, many companies are turning to systems and technologies that can help optimise their supply chain activities and improving short-and long-term demand forecasting. Given the inherent complexities of planning and scheduling in vertically integrated supply chains, many new methods (e.g., ant systems, evolutionary algorithms, fuzzy systems, genetic algorithms, neural networks, rough sets, swarm intelligence, simulated annealing, tabu search-collectively known as "Computational Intelligence" methods) have been introduced into software applications to help manage and and optimise this complexity. In this paper we discuss two realworld applications of advanced planning: one from wine industry and the other-from mining industry. © 2011 Springer-Verlag Berlin Heidelberg.
dc.description.statementofresponsibilityMaksud Ibrahimov, Arvind Mohais, Sven Schellenberg, and Zbigniew Michalewicz
dc.description.urihttp://nla.gov.au/anbd.bib-an48028823
dc.identifier.citationIntelligent Decision Systems in Large-Scale Distributed Environments, 2011 / Bouvry, P., Gonzalez Velez, H., Kolodziej, J. (ed./s), vol.362, pp.125-148
dc.identifier.doi10.1007/978-3-642-21271-0_6
dc.identifier.isbn9783642212703
dc.identifier.urihttp://hdl.handle.net/2440/70295
dc.language.isoen
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofseriesStudies in Computational Intelligence ; 362
dc.rights© Springer-Verlag Berlin Heidelberg 2011
dc.source.urihttps://doi.org/10.1007/978-3-642-21271-0_6
dc.titleAdvanced planning in vertically integrated supply chains
dc.typeBook chapter
pubs.publication-statusPublished

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