Chapter 16 - Managing Risk in the Design of Product and Closed-Loop Supply Chain Structure

Abstract

Abstract This paper studies the network design for a multiproduct, multi-echelon, and multi-period closed-loop supply chain (CLSC) accounting for decisions on the products to produce (new and remanufactured) products and associated raw materials (new and recovered) to maximize the CLSC profit. Demands are classified in two types: first and second markets. While the first market is associated with clients who must be satisfied with new products, the second market is connected with customers who are interested in buying recycled products in good working condition at low prices. The general network structure includes raw material suppliers, factories, distribution centers, customer demands, recovery centers, recycle centers, final disposal locations, and redistribution centers. Uncertain raw material supplies and customer demands are considered. In addition, risk management related with critical uncertain parameters is performed. As a result, a two-stage stochastic linear programming approach is developed to investigate possible network improvements by using risk management in the addressed problems. With the objective of achieving risk-averse solutions, a multi-objective function based on the expected values and the conditional value at risk (CVaR) concept is applied to both revenues and costs. Thus, the formulation aims to find solutions with high economic and environmental benefits through the CLSC in a context with variable conditions. Environmental aspects are addressed by modeling the CO 2 network emissions. The effectiveness of the proposed two-stage stochastic formulation is shown using a realistic case study from a European consumer goods company. The advantages of using the approach considering the variability of the solutions are compared with the features of the results obtained considering a risk-neutral performance measure.