IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/1692.html

Modelling product returns in inventory control - exploring the validity or general assumptions

Author

Listed:
  • de Brito, M.P.
  • Dekker, R.

Abstract

The 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.

Suggested Citation

  • 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.
  • Handle: RePEc:ems:eureir:1692
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1692/feweco20011031110215.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Grzegorz Chodak, 2020. "The problem of shelf-warmers in electronic commerce: a proposed solution," Information Systems and e-Business Management, Springer, vol. 18(2), pages 259-280, June.
    2. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    3. Ilkka Ritola & Harold Krikke & Marjolein C.J. Caniëls, 2020. "Learning from Returned Products in a Closed Loop Supply Chain: A Systematic Literature Review," Logistics, MDPI, vol. 4(2), pages 1-13, April.
    4. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    5. Grzegorz, Chodak, 2016. "The Nuisance of Slow Moving Products in Electronic Commerce," MPRA Paper 69817, University Library of Munich, Germany.
    6. 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.
    7. Carrasco-Gallego, R. & Ponce-Cueto, E. & Dekker, R., 2009. "A framework for closed-loop supply chains of reusable articles," Econometric Institute Research Papers EI 2009-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. 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.
    9. Goedhart, Joost & Haijema, René & Akkerman, Renzo, 2023. "Modelling the influence of returns for an omni-channel retailer," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1248-1263.
    10. Barron, Yonit, 2022. "The continuous (S,s,Se) inventory model with dual sourcing and emergency orders," European Journal of Operational Research, Elsevier, vol. 301(1), pages 18-38.
    11. 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.
    12. Zerhouni, Hichem & Gayon, Jean-Philippe & Frein, Yannick, 2013. "Influence of dependency between demands and returns in a reverse logistics system," International Journal of Production Economics, Elsevier, vol. 143(1), pages 62-71.
    13. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    14. Diana Puspita Sari & Nur Aini Masruroh & Anna Maria Sri Asih, 2021. "Consumer Intention to Participate in E-Waste Collection Programs: A Study of Smartphone Waste in Indonesia," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    15. Gemechu Abdissa & Abebe Ayalew & Anna Dunay & Csaba Bálint Illés, 2022. "Role of Reverse Logistics Activities in the Recycling of Used Plastic Bottled Water Waste Management," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureir:1692. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub The email address of this maintainer does not seem to be valid anymore. Please ask RePub to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.