Strategic rationing and freshness keeping of perishable products under transportation disruptions and demand learning

Complex & Intelligent Systems - Tập 8 - Trang 4513-4527 - 2021
Shanshan Li1, Yong He2, Melissza Salling2
1School of Finance, Nanjing Audit University, Nanjing, China
2School of Economics and Management, Southeast University, Nanjing, China

Tóm tắt

This paper considers a retailer who sells perishable fresh products directly to customers through an online channel and encounters a transportation disruption. Products shipped during the disruption period come with an uncontrollable delivery lead time, resulting in product quality degradation. To balance the compensation price provided to customers because of quality losses, the retailer might employ freshness-keeping efforts to reduce the quality loss during transportation. Therefore, it raises several fundamental questions for the retailer in mitigating the disruption. Is it always optimal to satisfy those customers who are willing to purchase during disruption? If it is profitable to fulfill orders along with an extra delivery lead time, and with a quality loss compensation, what is the optimal freshness-keeping effort? If it is preferable to deliberately create unsatisfied demand by announcing shortages (rationing) to customers, when is the optimal time to do so? To answer these questions, we first present the dynamics of post-disruption inventory and demand, taking into account the demand learning effect facilitated from negative word-of-mouth during disruption and the demand recovery after disruption ends. Afterward, we develop a model to achieve the optimal selling strategy for maximizing post-disruption profit, identifying the joint decision of the rationing period and freshness-keeping effort. Finally, by numerical analysis, three types of selling strategies are visually provided to hedge against disruptions of different lengths.

Tài liệu tham khảo

Fortune (2020) https://fortune.com/2020/02/21/fortune-1000-coronavirus-china-supply-chain-impact/. Accessed 10 Mar 2020

Bak O, Shaw S, Colicchia C, Kumar V (2020) A systematic literature review of supply chain resilience in small-medium enterprises (SMEs): a call for further research. IEEE Trans Eng Manag. https://doi.org/10.1109/TEM.2020.3016988

Singh S, Kumar R, Panchal R, Tiwari MK (2020) Impact of COVID-19 on logistics systems and disruptions in food supply chain. Int J Prod Res. https://doi.org/10.1080/00207543.2020.1792000

Sharma R, Shishodia A, Kamble S, Gunasekaran A, Belhadi A (2020) Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners. Int J Logist Res Appl. https://doi.org/10.1080/13675567.2020.1830049

Sun XF (2010) The single-vendor multibuyer integrated production-delivery model with production capacity under stochastic lead time demand. Math Probl Eng. https://doi.org/10.1155/2020/2309073