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Case study : optimizing order fulfillment in a global retail supply chain

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dc.contributor.authorAmer, Y.
dc.contributor.authorLuong, L.
dc.contributor.authorLee, S.H.
dc.date.issued2009
dc.description.abstractThis paper demonstrates a model which uses an adaption of Design for six sigma and fuzzy logic to optimize, monitor and control the order fulfillment process in the supply chain of a global retail firm. Even though the firm has advanced SCM practices in place retail stores suffer from stock outs of popular items and excessive stock of lower selling items. The order fulfillment optimization model presented enhances supply chain integration and collaboration across supply chain partners through effective monitoring and controlling of supply chain variables. It considers the critical to customer requirements at the supply chain design onset making it a useful model for dealing with customer differentiation andchannel separation. With 47% of firms only focusing on developing smooth internalprocesses this model offers opportunities for external supply chain improvements andpartial integration across the chain to improve business outcomes.
dc.identifier.citationInternational Journal of Production Economics, 2009; 127(2):278-291
dc.identifier.doi10.1016/j.ijpe.2009.08.020
dc.identifier.issn0925-5273
dc.identifier.issn1873-7579
dc.identifier.urihttps://hdl.handle.net/1959.8/65593
dc.language.isoen
dc.publisherElsevier BV
dc.rightsCopyright 2009 Elsevier
dc.source.urihttps://doi.org/10.1016/j.ijpe.2009.08.020
dc.subjectdesign for six sigma
dc.subjectfuzzy logic
dc.subjectorder fulfillment
dc.subjectperformance measurement
dc.subjectprocess control
dc.subjectsupply chain management
dc.titleCase study : optimizing order fulfillment in a global retail supply chain
dc.typeJournal article
pubs.publication-statusPublished
ror.mmsid9915910666001831

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