Robust formulations for economic lot-sizing problem with remanufacturing

In this paper, we consider a lot-sizing problem with the remanufacturing option under parameter uncertainties imposed on demands and returns. Remanufacturing has recently been fast growing area of interest for many researchers due to increasing awareness reducing waste in production environments, particular studies involving simultaneously are very scarce literature. We first present min-max decomposition approach problem, where decision maker’s adversarial treated iteratively. Then, propose two novel extended reformulations addressing some computational challenges. An original aspect is that they applied only latest scenario added problem. an extensive analysis, which provides detailed comparison three formulations evaluates impact key parameters. conclude proposed outperform standard formulation majority instances. also provide insights parameters performance.