Lot-sizing and capacity planning are important supply chain decisions, and competition and cooperation affect the performance of these decisions. In this paper, we look into the dynamic lot sizing and resource competition problem of an industry consisting of multiple firms. A capacity competition model combining the complexity of time-varying demand with cost functions and economies os scale ar...

optimization models have been used to support decision making in production planning for a long time. however, several of those models are deterministic and do not address the variability that is present in some of the data. robust optimization is a methodology which can deal with the uncertainty or variability in optimization problems by computing a solution which is feasible for all possible ...

Production yield can be highly volatile and uncertain, especially in industries where exogenous environmental factors such as the climate or raw material quality impact manufacturing process. Thus, for production planning, it is necessary to take into account uncertainty obtain robust efficient plans. In this paper, we consider lot-sizing problems under uncertainty. We propose a multi-period, s...