IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v293y2021i2p511-528.html
   My bibliography  Save this article

Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain

Author

Listed:
  • Liu, Chao
  • Chen, Weidong
  • Zhou, Qian
  • Mu, Jing

Abstract

A fresh product deteriorates over the finite time horizon and may lose its intended commercial value due to delays in transportation or improper management of temperature in its production and distribution. Seamless collaborations in freshness-keeping actions among supply chain members are critical to ensure that the product is delivered with the desired level of freshness. However, due to concerns about the recovery of the costly investments in the freshness-keeping actions, the members of the supply chain may not fully engage in the actions. In this paper, we propose a dynamic control model comprising an online retailer and an off-line producer, who collaborate to deliver a fresh product to their customers. Having received the orders from its online platform, the retailer will procure the product from the producer, who will be responsible for the delivery of the product to the retailer. The retailer decides the optimal level of advertising effort, while the producer decides the optimal freshness-keeping effort. We show that in decentralized decision mode, the optimal levels of both freshness state and effort decrease significantly because of the shrink in the profit margin. In particular, the producer may abandon the effort and leave the product to deteriorate naturally after the transaction. This will jeopardize the goodwill of the retailer afterwards. To address the issue, we devise a linear-bonus scheme and demonstrate its effectiveness in dynamically motivating an optimal level of the producer’s freshness-keeping effort. Three specific circumstances are identified for setting an appropriate bonus to lead to the highest level of the freshness-keeping effort. Further, we develop a decision matrix for managerial practitioners to choose the appropriate bonus according to particular situations. In addition, the results counter-intuitively show that an increase in the marginal bonus does not necessarily result in a higher level of freshness of the delivered product.

Suggested Citation

  • Liu, Chao & Chen, Weidong & Zhou, Qian & Mu, Jing, 2021. "Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 293(2), pages 511-528.
  • Handle: RePEc:eee:ejores:v:293:y:2021:i:2:p:511-528
    DOI: 10.1016/j.ejor.2020.12.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037722172031078X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2020.12.035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. He, Bo & Gan, Xianghua & Yuan, Kaifu, 2019. "Entry of online presale of fresh produce: A competitive analysis," European Journal of Operational Research, Elsevier, vol. 272(1), pages 339-351.
    2. Peng Hu & Stephen Shum & Man Yu, 2016. "Joint Inventory and Markdown Management for Perishable Goods with Strategic Consumer Behavior," Operations Research, INFORMS, vol. 64(1), pages 118-134, February.
    3. Chenavaz, Régis Y. & Feichtinger, Gustav & Hartl, Richard F. & Kort, Peter M., 2020. "Modeling the impact of product quality on dynamic pricing and advertising policies," European Journal of Operational Research, Elsevier, vol. 284(3), pages 990-1001.
    4. Tong, Tingting & Dai, Hongyan & Xiao, Qin & Yan, Nina, 2020. "Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market," International Journal of Production Economics, Elsevier, vol. 219(C), pages 375-385.
    5. Chernonog, Tatyana, 2020. "Inventory and marketing policy in a supply chain of a perishable product," International Journal of Production Economics, Elsevier, vol. 219(C), pages 259-274.
    6. Pietro Giovanni, 2014. "Environmental collaboration in a closed-loop supply chain with a reverse revenue sharing contract," Annals of Operations Research, Springer, vol. 220(1), pages 135-157, September.
    7. Ketzenberg, Michael & Gaukler, Gary & Salin, Victoria, 2018. "Expiration dates and order quantities for perishables," European Journal of Operational Research, Elsevier, vol. 266(2), pages 569-584.
    8. Dye, Chung-Yuan, 2020. "Optimal joint dynamic pricing, advertising and inventory control model for perishable items with psychic stock effect," European Journal of Operational Research, Elsevier, vol. 283(2), pages 576-587.
    9. Sato, Kimitoshi, 2019. "Price Trends and Dynamic Pricing in Perishable Product Market Consisting of Superior and Inferior Firms," European Journal of Operational Research, Elsevier, vol. 274(1), pages 214-226.
    10. Tai, Allen H. & Xie, Yue & He, Wanhua & Ching, Wai-Ki, 2019. "Joint inspection and inventory control for deteriorating items with random maximum lifetime," International Journal of Production Economics, Elsevier, vol. 207(C), pages 144-162.
    11. Minner, Stefan & Transchel, Sandra, 2017. "Order variability in perishable product supply chains," European Journal of Operational Research, Elsevier, vol. 260(1), pages 93-107.
    12. Dye, Chung-Yuan & Yang, Chih-Te, 2016. "Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects," Omega, Elsevier, vol. 62(C), pages 52-67.
    13. Hanukov, Gabi & Avinadav, Tal & Chernonog, Tatyana & Yechiali, Uri, 2020. "A service system with perishable products where customers are either fastidious or strategic," International Journal of Production Economics, Elsevier, vol. 228(C).
    14. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    15. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    16. Herbon, Avi & Khmelnitsky, Eugene, 2017. "Optimal dynamic pricing and ordering of a perishable product under additive effects of price and time on demand," European Journal of Operational Research, Elsevier, vol. 260(2), pages 546-556.
    17. Cai, Xiaoqiang & Chen, Jian & Xiao, Yongbo & Xu, Xiaolin & Yu, Gang, 2013. "Fresh-product supply chain management with logistics outsourcing," Omega, Elsevier, vol. 41(4), pages 752-765.
    18. Zhang, Jianxiong & Wang, Yu & Lu, Lihao & Tang, Wansheng, 2015. "Optimal dynamic pricing and replenishment cycle for non-instantaneous deterioration items with inventory-level-dependent demand," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 136-145.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Wenxue Ran & Yajing Chen, 2023. "Fresh Produce Supply Chain Coordination Based on Freshness Preservation Strategy," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    2. Qian Zheng & Manman Wang & Feng Yang, 2021. "Optimal Channel Strategy for a Fresh Produce E-Commerce Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    3. Zhinan Li & Qinming Liu & Chunming Ye & Ming Dong & Yihan Zheng, 2022. "Achieving Resilience: Resilient Price and Quality Strategies of Fresh Food Dual-Channel Supply Chain Considering the Disruption," Sustainability, MDPI, vol. 14(11), pages 1-24, May.
    4. Zhao, Yan & Li, Yanhui & Yao, Qi & Guan, Xu, 2023. "Dual-channel retailing strategy vs. omni-channel buy-online-and-pick-up-in-store behaviors with reference freshness effect," International Journal of Production Economics, Elsevier, vol. 263(C).
    5. Ming Luo & GuoHua Zhou & Hao Xu, 2022. "RETRACTED ARTICLE: Three-tier supply chain on temperature control for fresh agricultural products using new differential game model under two decision-making situations," Operations Management Research, Springer, vol. 15(3), pages 1028-1047, December.
    6. Liu, Chao & Lv, Jingyu & Hou, Ping & Lu, Danrong, 2023. "Disclosing products’ freshness level as a non-contractible quality: Optimal logistics service contracts in the fresh products supply chain," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1085-1102.
    7. Qingren He & Shuting Li & Fei Xu & Wanhua Qiu, 2022. "Deep-Processing Service and Pricing Decisions for Fresh Products with the Rate of Deterioration," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    8. Jinwu Gao & Zhuolin Cui & Huijie Li & Ruru Jia, 2023. "Optimization and Coordination of the Fresh Agricultural Product Supply Chain Considering the Freshness-Keeping Effort and Information Sharing," Mathematics, MDPI, vol. 11(8), pages 1-25, April.
    9. Sarkar, Mitali & Dey, Bikash Koli & Ganguly, Baishakhi & Saxena, Neha & Yadav, Dharmendra & Sarkar, Biswajit, 2023. "The impact of information sharing and bullwhip effects on improving consumer services in dual-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    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. Hanukov, Gabi, 2022. "Improving efficiency of service systems by performing a part of the service without the customer's presence," European Journal of Operational Research, Elsevier, vol. 302(2), pages 606-620.
    2. Qi Chen & Qi Xu & Wenjie Wang, 2019. "Optimal Policies for the Pricing and Replenishment of Fashion Apparel considering the Effect of Fashion Level," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    3. Hanukov, Gabi & Avinadav, Tal & Chernonog, Tatyana & Yechiali, Uri, 2020. "A service system with perishable products where customers are either fastidious or strategic," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Anton, Ramona & Chenavaz, Régis Y. & Paraschiv, Corina, 2023. "Dynamic pricing, reference price, and price-quality relationship," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    5. Qingren He & Shuting Li & Fei Xu & Wanhua Qiu, 2022. "Deep-Processing Service and Pricing Decisions for Fresh Products with the Rate of Deterioration," Mathematics, MDPI, vol. 10(5), pages 1-19, February.
    6. Yongyi Zhou & Yulin Zhang & Mark Goh, 2021. "Choice of pricing and advertising schemes for a two‐sided platform," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1885, October.
    7. Lin, Xuxun & Wang, Haiyan, 2022. "Dynamic pricing for online information services considering service duration and quality level," Omega, Elsevier, vol. 109(C).
    8. Qian Zheng & Manman Wang & Feng Yang, 2021. "Optimal Channel Strategy for a Fresh Produce E-Commerce Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-24, May.
    9. Liu, Chao & Lv, Jingyu & Hou, Ping & Lu, Danrong, 2023. "Disclosing products’ freshness level as a non-contractible quality: Optimal logistics service contracts in the fresh products supply chain," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1085-1102.
    10. Zhinan Li & Qinming Liu & Chunming Ye & Ming Dong & Yihan Zheng, 2022. "Achieving Resilience: Resilient Price and Quality Strategies of Fresh Food Dual-Channel Supply Chain Considering the Disruption," Sustainability, MDPI, vol. 14(11), pages 1-24, May.
    11. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    12. Ma, Shigui & He, Yong & Gu, Ran, 2021. "Joint service, pricing and advertising strategies with tourists’ green tourism experience in a tourism supply chain," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    13. Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
    14. Avinadav, Tal, 2020. "The effect of decision rights allocation on a supply chain of perishable products under a revenue-sharing contract," International Journal of Production Economics, Elsevier, vol. 225(C).
    15. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.
    16. Li, Mengmeng & Mizuno, Shinji, 2022. "Comparison of dynamic and static pricing strategies in a dual-channel supply chain with inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    17. Deng Jia & Chong Wang, 2022. "Option Contracts in Fresh Produce Supply Chain with Freshness-Keeping Effort," Mathematics, MDPI, vol. 10(8), pages 1-24, April.
    18. Siawsolit, Chokdee & Gaukler, Gary M., 2021. "Offsetting omnichannel grocery fulfillment cost through advance ordering of perishables," International Journal of Production Economics, Elsevier, vol. 239(C).
    19. Chenavaz, Régis Y. & Leocata, Marta & Ogonowska, Malgorzata & Torre, Dominique, 2022. "Sustainable tourism," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    20. Bhaskar Bhaula & Jayanta Kumar Dash & M. Rajendra Kumar, 2019. "An optimal inventory model for perishable items under successive price discounts with permissible delay in payments," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 261-281, March.

    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:eee:ejores:v:293:y:2021:i:2:p:511-528. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.