Dual-channel supply chain resilience building with manufacturer-owned exclusive stores under ripple effects
研究在涟漪效应下，制造商通过自营线下专卖店构建双渠道供应链韧性的问题，建立基于条件风险价值（CVaR）和动态贝叶斯网络的随机规划模型，并设计场景缩减方法提高求解效率。
Dual-channel supply chain (DC-SC), which integrates both traditional offline and online channels, has significantly improved its performance. However, the increasing frequency of disruptions in DC-SCs, compounded by ripple effects, poses severe challenges to SC resilience. In response, one manufacturer has recently adopted exclusive stores in offline channels, which is operated solely by the manufacturer to sell its own products. There is no literature dedicated to DC-SC resilience that considers exclusive stores under ripple effects. Thus, we study a novel DC-SC resilience building problem with exclusive stores under ripple effects. The problem consists of (i) making pricing decisions, and (ii) planning on inventory redundancy, production and distribution. A conditional value-at-risk (CVaR)-oriented stochastic programming model with a dynamic Bayesian network (DBN)-based scenario set is established. Then, a novel scenario reduction (SR)-based method combined with probabilistic distance is designed. Numerical experiments indicate that the SR-based method guarantee solution quality relative to sample average approximation (SAA) benchmark while maintaining shorter running time, and the sensitivity analysis yields managerial insights.