This article investigates the order problem in a two-stage supply chain consisting of retail- ers, primary suppliers and backup suppliers. From retailers＇ perspectives, the optimal offering strategies in unidirection...This article investigates the order problem in a two-stage supply chain consisting of retail- ers, primary suppliers and backup suppliers. From retailers＇ perspectives, the optimal offering strategies in unidirectional transshipments are analyzed on the basis of disruption risks in supply chains. With a focus on retailers＇ profits, it develops the decision model of retailers＇ orders in the dual sourcing mode and in the mode of capacity options, to maximize the retailers＇ expected profits. The simulation shows that retailers＇ optimal order decisions are not correlated with the joint disruption probability in the two order modes without service constraints; retailers＇ optimal decisions are influenced by the joint disruption probability in the two order modes with service constraints, and the impact of the joint disruption probability of the primary suppliers＇ optimal order from retailers differs in the two modes. Retailers＇ order decisions in respect of backup suppliers are more sensitive to the changing volumes of transshipments. The contribution of this article is the impact of main parameters on retailers＇ decisions, providing some guidance for enterprises to make order decisions.展开更多
We develop a newsvender model with service level constraint for oneproduct and multi-supplier system, where the supplies are susceptible to disruption risks. We prove the convexity of the programming problem,and provi...We develop a newsvender model with service level constraint for oneproduct and multi-supplier system, where the supplies are susceptible to disruption risks. We prove the convexity of the programming problem,and provide the necessary and sufficient conditions for the optimal order quantities. Through analysis or numerical experiments we observe the effects of the disrupt risk and the service level constraint on the optimal policy. We propose some managerial insights in managing the multi-source supply chain with disruption risks.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.71771080,71172194,71521061,71790593,71642006,71473155,71390335,71571065Hunan Provincial Innovation Foundation for Postgraduate under Grant No.CX2016B078
文摘This article investigates the order problem in a two-stage supply chain consisting of retail- ers, primary suppliers and backup suppliers. From retailers＇ perspectives, the optimal offering strategies in unidirectional transshipments are analyzed on the basis of disruption risks in supply chains. With a focus on retailers＇ profits, it develops the decision model of retailers＇ orders in the dual sourcing mode and in the mode of capacity options, to maximize the retailers＇ expected profits. The simulation shows that retailers＇ optimal order decisions are not correlated with the joint disruption probability in the two order modes without service constraints; retailers＇ optimal decisions are influenced by the joint disruption probability in the two order modes with service constraints, and the impact of the joint disruption probability of the primary suppliers＇ optimal order from retailers differs in the two modes. Retailers＇ order decisions in respect of backup suppliers are more sensitive to the changing volumes of transshipments. The contribution of this article is the impact of main parameters on retailers＇ decisions, providing some guidance for enterprises to make order decisions.
文摘We develop a newsvender model with service level constraint for oneproduct and multi-supplier system, where the supplies are susceptible to disruption risks. We prove the convexity of the programming problem,and provide the necessary and sufficient conditions for the optimal order quantities. Through analysis or numerical experiments we observe the effects of the disrupt risk and the service level constraint on the optimal policy. We propose some managerial insights in managing the multi-source supply chain with disruption risks.
