Bian Wenliang, Yang Xiqing, Li Shichang, Yang Xiying, Hua Guowei
School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.
Zhongjie Telecommunications Co. Ltd., Guangzhou 510055, China.
Comput Ind Eng. 2021 Nov;161:107628. doi: 10.1016/j.cie.2021.107628. Epub 2021 Aug 20.
Given the expansion of the COVID-19 cases and the average infection rate globally, constructing a robust healthcare supply chain system for the crisis is highly crucial. The third-party logistics providers (3PLs), who can match the market demand with reliable manufacturers worldwide, have emerged as orchestrators. In addition to the basic transportation and storage services, some 3PLs can also provide procurement assistance to relatively small retailers. To illustrate the value of the above-mentioned business model, we build a game-theoretic model to capture participants' optimal strategy in a healthcare supply chain consisting of a manufacturer, a 3PL provider, and a retailer. We also investigate the conditions where the performance in this business model outperforms the traditional model. It is concluded that the 3PL's positive effect appears when the decentralized supply chain is characterized by high logistics outsourcing costs and high-level price sensitivity. We further design an incentive mechanism that can coordinate the supply chain. Finally, a series of numerical experiments are carried out to demonstrate the effectiveness of our model.
鉴于全球新冠疫情病例的增加和平均感染率，为应对这场危机构建一个强大的医疗供应链系统至关重要。能够将市场需求与全球可靠制造商相匹配的第三方物流供应商（3PL）已成为协调者。除了基本的运输和仓储服务外，一些第三方物流供应商还可以为相对较小的零售商提供采购协助。为了说明上述商业模式的价值，我们构建了一个博弈论模型，以捕捉由制造商、第三方物流供应商和零售商组成的医疗供应链中参与者的最优策略。我们还研究了这种商业模式的绩效优于传统模式的条件。研究得出结论，当分散式供应链具有高物流外包成本和高价格敏感度时，第三方物流的积极作用就会显现。我们进一步设计了一种能够协调供应链的激励机制。最后，进行了一系列数值实验来证明我们模型的有效性。
