A Product-Design-Change-Based Recovery Control Algorithm for Supply Chain Disruption Problem

In very recent years, large-scale disruptions brought by major global and local emergencies have posed many challenges with respect to the recovery control of supply chain systems. This work investigates a problem regarding optimal considering product design change in order enable manufacturers recover their disrupted quickly. A two-layer optimization model is developed, which lower used optimize path, upper select appropriate alternative suppliers schedule delivery customer orders. To solve developed model, hybrid ant colony (HACO) algorithm designed, combined Gurobi solver uses some special strategies. The validity proposed illustrated experimentally through computational tests systematic comparison existing methods. It reported that losses caused are reduced significantly. can provide potentially useful tool help decide upon form when system experiences massive disruption.