Finite time horizon fill rate analysis for multiple customer cases Abbasi, B., Hosseinifard, Z., Alamri, O., Thomas, D. and Minas, JP 2017, Finite time horizon fill rate analysis for multiple customer cases, Omega, pp. 1-17, doi: 10.1016/j.omega.2017.03.004. Attached Files Name Description MIMEType Size Downloads Title Finite time horizon fill rate analysis for multiple customer cases Author(s) Abbasi, B. Hosseinifard, Z. Alamri, O. Thomas, D. Minas, JP Journal name Omega Start page 1 End page 17 Total pages 17 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2017-03 ISSN 0305-0483 Keyword(s) inventory management base stock policy service level agreement multiple customers Summary The item fill rate –defined as the fraction of demand that is immediately satisfied from on-hand stock –is commonly used as a performance measure in service level agreements between customers and sup- pliers. Under such agreements, the fill rate is measured over a finite horizon (the performance review period) and the supplier faces a financial penalty if an agreed target is not met. The distribution of the item fill rate (fill rate) determines the probability of exceeding the agreed target, it is therefore a point of interest in SLA coordination. The average finite horizon fill rate decreases with an increase in performance review period length. However, the impact of performance review period length on the shape of the fill rate distribution is not well understood. Past studies of finite horizon fill rate only consider a single cus- tomer in the supply chain. In this study, we analyze fill rate distributions for a supplier that has multiple customers each with their own service level agreement. We examine the effects of performance review period length, choice of demand fulfillment (service) policy and correlation between customers’ demands on both the average fill rate and the probability of achieving the target fill rate. This study provides new insights into service level agreement coordination between suppliers and customers. For instance, the results show that a supplier with multiple customers must take care with choosing a service policy, as rationing will affect the fill rate distribution and hence the realized service level. Language eng DOI 10.1016/j.omega.2017.03.004 Field of Research 150309 Logistics and Supply Chain Management Socio Economic Objective 910499 Management and Productivity not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30094245 Document type: Journal Article Collection: Department of Information Systems and Business Analytics Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to in press version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 21 Apr 2017, 10:20:22 EST Fri, 21 Apr 2017, 10:36:49 EST Sat, 22 Apr 2017, 05:00:11 EST Tue, 25 Apr 2017, 06:06:17 EST Wed, 14 Jun 2017, 12:54:49 EST Wed, 14 Jun 2017, 12:55:54 EST Wed, 14 Jun 2017, 12:59:02 EST Thu, 07 Sep 2017, 14:35:21 EST Fri, 08 Sep 2017, 08:28:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 25 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 21 Apr 2017, 10:36:49 EST

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