An Environmentally Sustainable Feasible Policy for Dynamic Lot Sizing Model with Remanufacturing and Separate Setup Costs: Time Complexity and Optimality

We consider a dynamic lot sizing model in which end products to satisfy demands are obtained by remanufacturing m core types of differing quality, where m ≥ 1, or manufacturing from raw materials. In the model, we have separate setup costs associated with manufacturing and remanufacturing. As is widely known, remanufacturing is an environmental preferable … Read more

Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time

We propose a randomized linear programming algorithm for approximating the optimal policy of the discounted Markov decision problem. By leveraging the value-policy duality, the algorithm adaptively samples state transitions and makes exponentiated primal-dual updates. We show that it finds an ε-optimal policy using nearly-linear running time in the worst case. For Markov decision processes that … Read more