MIP model for integrated production and distribution problem with order consideration and cargo arrangement

This paper presents a mixed-integer programming model to support integrated production and distribution decisions at an operational level. We analyze order fulfillment, carryover setup sequence-dependent constraints, and cargo arrangement in lot sizing and distribution decisions. A comparative analysis of the integrated model is performed with three scenarios of hierarchical models. In addition, a computational study is presented to evaluate the model behavior.