MIP models for production lot sizing problems with distribution costs and cargo arrangement
研究了使用托盘和集装箱等单元装载设备的生产批量与配送联合决策问题，构建了混合整数规划模型，并通过分支切割法求解，为生产与物流协同优化提供了方法。
This study presents mixed integer programming (MIP) models for production lot sizing problems with distribution costs using unit load devices such as pallets and containers. Problems that integrate production lot sizing decisions and loading of the products in vehicles (bins) are also modelled, in which constraints such as weight limits, volume restrictions or the value of the cargo loaded in the bins are considered. In general, these problems involve a trade-off between production, inventory and distribution costs. Lot sizing decisions should take into account production capacity and product demand constraints. Distribution decisions are related to the loading and transport of products in unit load devices. The MIP models are solved by the branch-and-cut method of an optimization package and the results show that these approaches have the potential to address different practical situations.