Modelling product returns in inventory control--exploring the validity of general assumptions
AbstractThe literature on stochastic models for inventory control with product returns commonly makes the following simplifying assumptions: demand and returns are each a homogeneous (compound) Poisson process, and the processes are independent of each other. In this paper we explore the validity of these assumptions by analysing real data on return flows. In addition, we discuss practical implications of our findings and we provide insights on information management for inventory systems with return flows.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Production Economics.
Volume (Year): 81-82 (2003)
Issue (Month): 1 (January)
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Web page: http://www.elsevier.com/locate/ijpe
Other versions of this item:
- de Brito, M.P. & Dekker, R., 2001. "Modelling product returns in inventory control - exploring the validity or general assumptions," Econometric Institute Research Papers EI 2001-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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- Toktay, B. & van der Laan, E.A. & de Brito, M.P., 2003. "Managing Product Returns: The Role of Forecasting," ERIM Report Series Research in Management ERS-2003-023-LIS, 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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