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dc.contributor.authorDesmet, Bram
dc.contributor.authorAghezzaf, El-Houssaine
dc.contributor.authorVanmaele, Hendrik
dc.date.accessioned2017-12-02T14:33:30Z
dc.date.available2017-12-02T14:33:30Z
dc.date.issued2010
dc.identifier.doi10.1057/jors.2008.150
dc.identifier.urihttp://hdl.handle.net/20.500.12127/3669
dc.description.abstractThis paper presents an approximation model for the retailer replenishment lead-times in a two-echelon distribution system, and discusses its implementation for safety stock optimization in a one-warehouse and N-identical retailers system. The model assumes normality of demand and nominal lead times. It takes into account not only the averages of these parameters but also their variances. This approximation model is first tested on a two-echelon, one-warehouse and N-identical retailers system using discrete event simulation. It is then applied to optimize the safety stock in a two-echelon distribution system of a European market leader in the production and distribution of air conditioning equipment. Results of this implementation are analysed and discussed in detail.
dc.language.isoen
dc.subjectSafety Stocks
dc.subjectTwo-echelon Distribution
dc.subjectDecision Support Systems
dc.titleA normal approximation model for safety stock optimization in a two-echelon distribution system
dc.identifier.journalJournal of the Operational Research Society
dc.source.volume61
dc.source.issue1
dc.source.beginpage156
dc.source.endpage163
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid140312
dc.identifier.vperid64585
dc.identifier.vperid40694
dc.identifier.vpubid4193


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