Huang Xiangmeng, Yang Shuai, Wang Zhanyu
Business School, Changshu Institute of Technology, Suzhou, China.
School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, China.
Comput Ind Eng. 2021 Aug;158:107433. doi: 10.1016/j.cie.2021.107433. Epub 2021 Jun 2.
The COVID-19 outbreak-caused blockade and disruption of the supply chain have dramatically increased the prices of perishable food and other products that rely heavily on the timeliness of supply chains. In the case of inflation, this study aims to make some adjustment to the pricing and replenishment strategy of perishable food and compare it with the scenario without considering inflation to determine the impact of the inflation rate, quality deterioration, time value of money, and characteristics of cash flow of perishable food sales on the supply chain decision-making. We used the discounted cash flow (DCF) model to measure retailers' revenue, which established that the optimal pricing and replenishing strategy could maximize the retailers' profit. Besides, the findings were compared with the traditional profit model. Moreover, numerical experiments and sensitivity analysis were provided for decision support to retailers. Overall, this study validates that inflation significantly affects the pricing and replenishment strategy, and the DCF model is more suitable to evaluate the profits of perishable food.
新冠疫情爆发导致的封锁和供应链中断,极大地提高了易腐食品及其他严重依赖供应链及时性的产品的价格。针对通货膨胀情况,本研究旨在对易腐食品的定价和补货策略进行一些调整,并将其与不考虑通货膨胀的情况进行比较,以确定通货膨胀率、质量恶化、货币时间价值以及易腐食品销售现金流特征对供应链决策的影响。我们使用贴现现金流(DCF)模型来衡量零售商的收入,该模型确定了最优定价和补货策略能够使零售商利润最大化。此外,还将研究结果与传统利润模型进行了比较。此外,还提供了数值实验和敏感性分析,为零售商的决策提供支持。总体而言,本研究证实通货膨胀对定价和补货策略有显著影响,并且DCF模型更适合评估易腐食品的利润。