Robust Optimization Model of Reverse Logistics Network with Demand Uncertainty

A dynamic robust optimization model is established based on the objective of profit maximization to deal with the uncertainty of the problem through formulating a robust linear programming model. An equivalent robust optimization model using duality theory and auxiliary problem principle is obtained which allows the solutions to be derived more efficiently. Following the numerical simulation and sensitivity analysis is presented. The numerical simulation shows that the robust optimization mode can reduce the risk and uncertainty of reverse logistics operation process and the environment of demand uncertainty, which verifies the effectiveness of the approach.