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A distribution free newsvendor model with consignment policy and retailer’s royalty reduction

Author

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  • Biswajit Sarkar
  • Chong Zhang
  • Arunava Majumder
  • Mitali Sarkar
  • Yong Won Seo

Abstract

Reducing the system cost and achieving significant profit are the key factors for every successful business sector. A consignment contract under distribution-free approach may be a fruitful combination to achieve a profitable business. This model deals with a single-period newsvendor problem with a consignment policy. The consignment policy is an agreement between any two parties, named as the consignor and the consignee. Under Stackelberg approach, firms act as leader and follower. Both parties carry some parts of the holding cost instead of one. A new policy for paying the fixed fee to the consignee is introduced. This paper considers no specific probability distribution for customer’s demand except a known mean and standard deviation. An efficient approach is proposed to reduce the retailer’s cost and building a sustainable consignment contract. The solution of this model is obtained using distribution free approach. A comparison between the traditional supply chain policy and the consignment policy is established. The price-sensitivity on demand is analysed. Some numerical examples and graphical representations are given for both traditional and consignment policy. Result proves that consignment policy is dominating over the traditional policy and a significant reduction of retailer’s royalty is found.

Suggested Citation

  • Biswajit Sarkar & Chong Zhang & Arunava Majumder & Mitali Sarkar & Yong Won Seo, 2018. "A distribution free newsvendor model with consignment policy and retailer’s royalty reduction," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5025-5044, August.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:15:p:5025-5044
    DOI: 10.1080/00207543.2017.1399220
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    Citations

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    Cited by:

    1. Rekha Guchhait & Sarla Pareek & Biswajit Sarkar, 2019. "How Does a Radio Frequency Identification Optimize the Profit in an Unreliable Supply Chain Management?," Mathematics, MDPI, vol. 7(6), pages 1-19, May.
    2. Fakhrabadi, Mahnaz & Sandal, Leif K., 2023. "A Subgame Perfect Approach to a Multi-Period Stackelberg Game with Dynamic, Price-Dependent, Distributional-Robust Demand," Discussion Papers 2023/4, Norwegian School of Economics, Department of Business and Management Science.
    3. Mehran Ullah & Irfanullah Khan & Biswajit Sarkar, 2019. "Dynamic Pricing in a Multi-Period Newsvendor Under Stochastic Price-Dependent Demand," Mathematics, MDPI, vol. 7(6), pages 1-15, June.
    4. Irfanullah Khan & Biswajit Sarkar, 2021. "Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages," Mathematics, MDPI, vol. 9(6), pages 1-20, March.
    5. Feng, Pingping & Wu, Feng & Fung, Richard Y.K. & Jia, Tao, 2018. "Evaluation of two transshipment policies in a two-location decentralized inventory system under partial backordering," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 207-224.
    6. Jinpyo Lee, 2019. "Impact of Loss-Aversion on a Financially-Constrained Supply Chain," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    7. Yong Zhang & Xingyu Yang & Weiguo Zhang & Weiwei Chen, 2020. "Online ordering rules for the multi-period newsvendor problem with quantity discounts," Annals of Operations Research, Springer, vol. 288(1), pages 495-524, May.
    8. Rui Wang & Xiao Yan & Chuanjin Zhu, 2023. "Solving a Distribution-Free Multi-Period Newsvendor Problem With Advance Purchase Discount via an Online Ordering Solution," SAGE Open, , vol. 13(2), pages 21582440231, June.
    9. Anshu Dai & Guanzhou Wei & Zhaomin Zhang & Shuguang He, 2020. "Design of a flexible preventive maintenance strategy for two-dimensional warranted products," Journal of Risk and Reliability, , vol. 234(1), pages 74-87, February.
    10. Xi Jiang & Jinsheng Zhou, 2021. "The Impact of Rebate Distribution on Fairness Concerns in Supply Chains," Mathematics, MDPI, vol. 9(7), pages 1-18, April.
    11. Avinadav, Tal & Chernonog, Tatyana & Meilijson, Isaac & Perlman, Yael, 2022. "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, Elsevier, vol. 243(C).
    12. Bai, Qingguo & Xu, Jianteng & Gong, Yeming & Chauhan, Satyaveer S., 2022. "Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax," European Journal of Operational Research, Elsevier, vol. 298(3), pages 874-893.
    13. Qingguo Bai & Jianteng Xu & Yuzhong Zhang, 2022. "The distributionally robust optimization model for a remanufacturing system under cap-and-trade policy: a newsvendor approach," Annals of Operations Research, Springer, vol. 309(2), pages 731-760, February.
    14. Suman Kalyan Sardar & Biswajit Sarkar, 2020. "How Does Advanced Technology Solve Unreliability Under Supply Chain Management Using Game Policy?," Mathematics, MDPI, vol. 8(7), pages 1-16, July.

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