Integrating financial risk measures into the design and planning of closed-loop supply chains. (2nd February 2016)

• Record Type: Journal Article
• Authors: Cardoso, Sónia R.; Barbosa-Póvoa, Ana Paula; Relvas, Susana
• Is Part Of: Computers & chemical engineering. Volume 85(2016)
• Page Start: 105
• Page End: 123
• Publication Date: 2016-02-02
• Subjects: Supply chain management -- Design -- Planning -- Uncertainty -- Risk management -- MILP; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2015.10.012
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: The risk management in the design and planning of closed-loop supply chains is addressed. Four different risk measures are studied. Directions for the usage of the risk measures by decision makers are proposed. Uncertainty in products' demand and risk are considered simultaneously. The model is applied to a representative European supply chain case study. Abstract: In this paper, a mixed integer linear programming (MILP) formulation is proposed that integrates financial risk measures into the design and planning of closed-loop supply chains, considering demand uncertainty of final products. The goal is to maximize the supply chain expected net present value (ENPV), while simultaneously minimizing the associated risk. The augmented ɛ -constraint method is used to generate an approximation to the Pareto-optimal curve for each risk measure. Four different risk measures, most popular measures within the literature, are implemented, compared and directions for their usage by decision makers are discussed. Managerial insights are outlined based in decision makers' risk profile and goal of the risk minimization. A European supply chain case study is explored.