نوع مقاله : پژوهشی
1 دانشکده مهندسی صنایع و سیستم ها، دانشگاه تربیت مدرس، تهران
2 عضو هیات علمی دانشکده مهندسی صنایع و سیستم ها، دانشگاه تربیت مدرس
3 دانشیار دانشکده مهندسی صنایع و سیستمها دانشگاه تربیت مدرس
عنوان مقاله [English]
This study aims to solve the operational disruptions caused by some financial problems of supply chain members. Supply chain coordination is extensively used to enhance the performance and profitability of the supply chain members and the whole system. Coordination can be achieved by some techniques that persuade the members of a decentralized supply chain to participate in the supply chain optimization plan. Financial problems such as lack of liquidity, high cost of debt, limited financing capacity, and so on, can negatively impact the operational activities of a firm. In the context of the supply chain, these disruptive effects can spread throughout the supply chain and cause inefficiency for other members as well as the involved firm. So, supply chain coordination mechanisms can also be influenced by these financial constraints. However, few studies are analyzing the ability of classical supply chain coordination mechanisms in coordinating the supply chain in the presence of capital shortage and financing costs. The goal of this paper is to propose an efficient coordinating scheme based on the trade credit financing contract for a multi-product supply chain consisting of a capital constrained manufacturer who faces financing limitations and multiple suppliers. The member’s interactions are modeled as a Stackelberg game in the form of a bi-level optimization problem in which the suppliers as leaders form a coalition at the upper level and the manufacturer acts as a follower at the lower level. Two scenarios are considered concerning the contract terms. In the first scenario, the manufacturer is obliged to pay the suppliers until a certain time before the end of the period. But, in the second scenario, it can extend the repayments to suppliers until the end of the period. The proposed model in both scenarios is solved by two population-based metaheuristics, Genetic Algorithm, and differential evolution. The results indicate that the trade credit contract in the first scenario is not able to coordinate the supply chain but if the manufacturer is allowed to postpone its payments until the end of the period, the proposed contract fully coordinates the supply chain.