![]() An original aspect of the reformulations is that they are applied only to the latest scenario added to the decision maker’s problem. Then, we propose two novel extended reformulations for the decision maker’s problem, addressing some of the computational challenges. We first present a min-max decomposition approach for this problem, where decision maker’s problem and adversarial problem are treated iteratively. Remanufacturing has recently been a fast growing area of interest for many researchers due to increasing awareness on reducing waste in production environments, and in particular studies involving remanufacturing and parameter uncertainties simultaneously are very scarce in the literature. In this paper, we consider a lot-sizing problem with the remanufacturing option under parameter uncertainties imposed on demands and returns. ![]()
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