G-resilient multi-tier supplier selection and order allocation in food industry: a hybrid methodology

摘要: In the post epidemic era, food industry associations need to build a green and resilient (G-resilient) supply chains network through supplier selection and order allocation (SS/OA) decisions to avoid unexpected disruption risks and meet uncertain demand and cost for green food. This paper proposes a hybrid methodology using fuzzy multi-objective mixed integer linear programming model (FMOMILPM) to solve G-resilient multi-tier SS/OA problem within the uncertain demand and cost environment in food industry. We first proposed a G-resilient multi-criteria framework that consists of traditional, green and resilience pillars as well as their criteria for evaluating multi-tier suppliers. Second, FMOMILPM is developed based on the fuzzy evaluation of group decision makers and the uncertain demand and cost to handle the G-resilient multi-tier SS/OA problem towards minimizing cost and transportation time of orders and …