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dc.contributor.authorLi, Q
dc.contributor.authorDisney, SM
dc.date.accessioned2019-09-10T12:23:19Z
dc.date.issued2016-11-21
dc.description.abstractWe study the material requirements planning (MRP) system nervousness problem from a dynamic, stochastic and economic perspective in a two-echelon supply chain under first-order auto-regressive demand. MRP nervousness is an effect where the future order forecasts, given to suppliers so that they may plan production and organise their affairs, exhibits extreme period-to-period variability. We develop a measure of nervousness that weights future forecast errors geometrically over time. Near-term forecast errors are weighted higher than distant forecast errors. Focusing on replenishment policies for high volume items, we investigate two methods of generating order call-offs and two methods of creating order forecasts. For order call-offs, we consider the traditional order-up-to (OUT) policy and the proportional OUT policy (POUT). For order forecasts, we study both minimum mean square error (MMSE) forecasts of the demand process and MMSE forecasts coupled with a procedure that accounts for the known future influence of the POUT policy. We show that when retailers use the POUT policy and account for its predictable future behaviour, they can reduce the bullwhip effect, supply chain inventory costs and the manufacturer’s MRP nervousness.en_GB
dc.identifier.citationVol. 55 (7), pp. 1992 - 2012en_GB
dc.identifier.doi10.1080/00207543.2016.1261196
dc.identifier.urihttp://hdl.handle.net/10871/38645
dc.language.isoenen_GB
dc.publisherTaylor & Francis for International Foundation for Production Research (IFPR)en_GB
dc.rights© 2016 Informa UK Limited, trading as Taylor & Francis Group.en_GB
dc.subjectbullwhip effecten_GB
dc.subjectinventory managementen_GB
dc.subjectmaterial requirements planning (MRP)en_GB
dc.subjectsupply chain managementen_GB
dc.subjectnervousnessen_GB
dc.titleRevisiting rescheduling: MRP nervousness and the bullwhip effecten_GB
dc.typeArticleen_GB
dc.date.available2019-09-10T12:23:19Z
dc.identifier.issn0020-7543
dc.descriptionThis is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this recorden_GB
dc.identifier.journalInternational Journal of Production Researchen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2016-11-08
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2016-11-08
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-09-10T12:22:19Z
refterms.versionFCDAM
refterms.dateFOA2019-09-10T12:23:22Z
refterms.panelCen_GB


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