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Managing Product Returns: The Role of Forecasting

Author

Listed:
  • Toktay, B.
  • van der Laan, E.A.
  • de Brito, M.P.

Abstract

In this article, we discuss ways of actively influencing product returns and we review data-driven methods for forecasting return flows that exploit the fact that future returns are a function of past sales. In particular we assess the value of return forecasting at an operational level, specifically inventory control. We conclude with implications for supply chain management.

Suggested Citation

  • 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 University Rotterdam.
    • Handle: RePEc:ems:eureri:316
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    References listed on IDEAS

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    1. Kiesmuller, Gudrun P. & van der Laan, Erwin A., 2001. "An inventory model with dependent product demands and returns," International Journal of Production Economics, Elsevier, vol. 72(1), pages 73-87, June.
    2. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
    4. de Brito, M.P. & van der Laan, E.A., 2002. "Inventory control with product returns: the impact of (mis)information," Econometric Institute Research Papers EI 2002-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Markus Klausner & Wolfgang M. Grimm & Chris Hendrickson, 1998. "Reuse of Electric Motors in Consumer Products," Journal of Industrial Ecology, Yale University, vol. 2(2), pages 89-102, April.
    6. de Brito, Marisa P. & Dekker, Rommert, 2003. "Modelling product returns in inventory control--exploring the validity of general assumptions," International Journal of Production Economics, Elsevier, vol. 81(1), pages 225-241, January.
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    Citations

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    Cited by:

    1. Nowak, Thomas & Hofer, Vera, 2014. "On stabilizing volatile product returns," European Journal of Operational Research, Elsevier, vol. 234(3), pages 701-708.
    2. Jalil, M.N. & Zuidwijk, R.A. & Fleischmann, M. & van Nunen, J.A.E.E., 2009. "Spare Parts Logistics and Installed Base Information," ERIM Report Series Research in Management ERS-2009-002-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 University Rotterdam.
    3. M N Jalil & R A Zuidwijk & M Fleischmann & Jo A E E van Nunen, 2011. "Spare parts logistics and installed base information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 442-457, March.
    4. de Brito, M.P. & Dekker, R., 2003. "A Framework for Reverse Logistics," ERIM Report Series Research in Management ERS-2003-045-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 University Rotterdam.
    5. Ene, Seval & Öztürk, Nursel, 2017. "Grey modelling based forecasting system for return flow of end-of-life vehicles," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 155-166.
    6. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    8. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    9. Arroyo López Pilar & Villanueva Bringas Mariana & Gaytán Iniestra Juan & García Vargas Marco, 2014. "Simulación de la tasa de reciclaje de productos electrónicos Un modelo de dinámica de sistemas para la red de logística inversa," Contaduría y Administración, Accounting and Management, vol. 59(1), pages 9-41, enero-mar.
    10. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
    11. El Kihal, Siham & Nurullayev, Namig & Schulze, Christian & Skiera, Bernd, 2021. "A Comparison of Return Rate Calculation Methods: Evidence from 16 Retailers," Journal of Retailing, Elsevier, vol. 97(4), pages 676-696.
    12. de Brito, M.P. & van der Laan, E.A., 2003. "Inventory Management with product returns: the value of information," ERIM Report Series Research in Management ERS-2003-060-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 University Rotterdam.

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    More about this item

    Keywords

    forecasting; information; inventory management; reverse logistics; supply chain management;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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