Product returns are often characterized by a dual uncertainty on time and quantity. In the literature on inventory management with product returns, best forecasts have been associated with methods that use the most informationregarding product return history. In practice however, data is often scarce and unreliable. In this paper we investigate the impact of (mis)information on inventory performance. An exact analysis shows that in case of misestimation the most informed method does not necessarily lead to best performance. Further we provide an extensive simulation study to investigate the impact of misinformation w.r.t. inventory costs.This has relevant implications regarding the investments to make on product return information systems.
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Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number
279.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Brito, M.P. de & Flapper, S.D.P. & Dekker, R., 2002.
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Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Ketzenberg, M.E. & Laan, E.A. van der & Teunter, R.H., 2004.
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Brito, M.P. de & Dekker, R. & Flapper, S.D.P., 2003.
"Reverse Logistics - a review of case studies,"
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ERS-2003-012-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
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