IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2020-04-22.html
   My bibliography  Save this article

Investigating the Return of Goods in Supply Chain

Author

Listed:
  • Fezzeh Abanavaz

    (Department of Industrial Engineering, PNU, Shemiranat Branch, Tehran, Iran,)

  • Morteza Khakzar Bafruei

    (Faculty of Engineering, University of Science and Culture, Technology Development Institute (ACECR), Tehran, Iran)

Abstract

In the supply chain, the return of goods is of great importance. For different reasons, the flow of materials and goods is inevitable in the opposite direction of the chain. Therefore, dealing with the subject of the reverse logistics network and management and its leadership is effective and necessary. In this study, a two-level supply chain including suppliers and several retailers are studies with the possibility of return of goods in a problem of the newsvendor. First, to construct the initial model, the library method is used and then using mathematical methods to model determine the optimum order value and optimal supplier price and maximize the supply chain profit in a single-period model with a random demand market. It is also considering a case where the exchange of goods is justified in terms of a dearth of surplus-surplus and retailers unite.

Suggested Citation

  • Fezzeh Abanavaz & Morteza Khakzar Bafruei, 2020. "Investigating the Return of Goods in Supply Chain," International Review of Management and Marketing, Econjournals, vol. 10(4), pages 170-176.
    • Handle: RePEc:eco:journ3:2020-04-22
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/irmm/article/download/8313/pdf
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/irmm/article/view/8313/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Desheng, 2013. "Coordination of competing supply chains with news-vendor and buyback contract," International Journal of Production Economics, Elsevier, vol. 144(1), pages 1-13.
    2. Bose, Indranil & Anand, Paul, 2007. "On returns policies with exogenous price," European Journal of Operational Research, Elsevier, vol. 178(3), pages 782-788, May.
    3. Harish Krishnan & Roman Kapuscinski & David A. Butz, 2004. "Coordinating Contracts for Decentralized Supply Chains with Retailer Promotional Effort," Management Science, INFORMS, vol. 50(1), pages 48-63, January.
    4. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    5. Sana, Shib Sankar, 2013. "Optimal contract strategies for two stage supply chain," Economic Modelling, Elsevier, vol. 30(C), pages 253-260.
    6. Li, Yongjian & Wei, Cansheng & Cai, Xiaoqiang, 2012. "Optimal pricing and order policies with B2B product returns for fashion products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 637-646.
    7. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    8. Youhua (Frank) Chen & Weili Xue & Jian Yang, 2013. "Technical Note---Optimal Inventory Policy in the Presence of a Long-Term Supplier and a Spot Market," Operations Research, INFORMS, vol. 61(1), pages 88-97, February.
    9. Chen, Jing, 2011. "Returns with wholesale-price-discount contract in a newsvendor problem," International Journal of Production Economics, Elsevier, vol. 130(1), pages 104-111, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farhat, Mlouka & Akbalik, Ayse & Hadj-Alouane, Atidel B. & Sauer, Nathalie, 2019. "Lot sizing problem with batch ordering under periodic buyback contract and lost sales," International Journal of Production Economics, Elsevier, vol. 208(C), pages 500-511.
    2. B.C. Giri & S. Bardhan & T. Maiti, 2016. "Coordinating a three-layer supply chain with uncertain demand and random yield," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2499-2518, April.
    3. Lauren Skinner Beitelspacher & Thomas L. Baker & Adam Rapp & Dhruv Grewal, 2018. "Understanding the long-term implications of retailer returns in business-to-business relationships," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 252-272, March.
    4. Hsieh, Chung-Chi & Lu, Yu-Ting, 2010. "Manufacturer's return policy in a two-stage supply chain with two risk-averse retailers and random demand," European Journal of Operational Research, Elsevier, vol. 207(1), pages 514-523, November.
    5. Anna G. Devlin & Wedad Elmaghraby & Rebecca W. Hamilton, 2018. "Why do suppliers choose wholesale price contracts? End-of-season payments disincentivize retailer marketing effort," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 212-233, March.
    6. Terry A. Taylor & Wenqiang Xiao, 2009. "Incentives for Retailer Forecasting: Rebates vs. Returns," Management Science, INFORMS, vol. 55(10), pages 1654-1669, October.
    7. Ohmura, Shota & Matsuo, Hirofumi, 2016. "The effect of risk aversion on distribution channel contracts: Implications for return policies," International Journal of Production Economics, Elsevier, vol. 176(C), pages 29-40.
    8. Halati, Abolhassan & He, Yuanjie, 2010. "Analysis of supply chains with quantity based fixed incentives," European Journal of Operational Research, Elsevier, vol. 202(1), pages 214-222, April.
    9. Gurnani, Haresh & Sharma, Arun & Grewal, Dhruv, 2010. "Optimal Returns Policy under Demand Uncertainty," Journal of Retailing, Elsevier, vol. 86(2), pages 137-147.
    10. Chakraborty, Tulika & Chauhan, Satyaveer S. & Vidyarthi, Navneet, 2015. "Coordination and competition in a common retailer channel: Wholesale price versus revenue-sharing mechanisms," International Journal of Production Economics, Elsevier, vol. 166(C), pages 103-118.
    11. Wang, Charles X. & Webster, Scott, 2009. "Markdown money contracts for perishable goods with clearance pricing," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1113-1122, August.
    12. Cárdenas-Barrón, Leopoldo Eduardo & Sana, Shib Sankar, 2014. "A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams׳ initiatives," International Journal of Production Economics, Elsevier, vol. 155(C), pages 249-258.
    13. Haresh Gurnani & Yi Xu, 2006. "Resale price maintenance contracts with retailer sales effort: Effect of flexibility and competition," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(5), pages 448-463, August.
    14. Lan, Yongquan & Li, Yanzhi & Papier, Felix, 2018. "Competition and coordination in a three-tier supply chain with differentiated channels," European Journal of Operational Research, Elsevier, vol. 269(3), pages 870-882.
    15. Yao, Z. & Leung, Stephen C.H. & Lai, K.K., 2008. "Analysis of the impact of price-sensitivity factors on the returns policy in coordinating supply chain," European Journal of Operational Research, Elsevier, vol. 187(1), pages 275-282, May.
    16. Feng Tao & Tijun Fan & Xuefeng Jia & Kin Keung Lai, 2021. "Optimal production strategy for a manufacturing and remanufacturing system with return policy," Operational Research, Springer, vol. 21(1), pages 251-271, March.
    17. Wang, Yulan & Zipkin, Paul, 2009. "Agents' incentives under buy-back contracts in a two-stage supply chain," International Journal of Production Economics, Elsevier, vol. 120(2), pages 525-539, August.
    18. V. Daniel R. Guide , Jr. & Gilvan C. Souza & Luk N. Van Wassenhove & Joseph D. Blackburn, 2006. "Time Value of Commercial Product Returns," Management Science, INFORMS, vol. 52(8), pages 1200-1214, August.
    19. Yalabik, Baris & Petruzzi, Nicholas C. & Chhajed, Dilip, 2005. "An integrated product returns model with logistics and marketing coordination," European Journal of Operational Research, Elsevier, vol. 161(1), pages 162-182, February.
    20. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

    More about this item

    Keywords

    supply chain; pricing chain and order value; return of goods; problem of the newsvendor;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

    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:eco:journ3:2020-04-22. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.