不同零售商在相同时期需求不同的经济批量博弈

经济批量博弈是库存博弈的子问题,已经建立了经济批量的模型以及相关的基本理论知识,为研究经济批量模型所对应的博弈奠定了理论基础,对于合作博弈需要保证合作联盟的稳定性,因此需要研究经济批量博弈的凸性。利用合作博弈论的理论知识,线性函数的凹性,对推广的经济批量博弈证明了其凸性,进一步完善了经济批量博弈的数学理论。凸博弈保证合作联盟的稳定性,减少了商家的成本,增加了商家的利润。     

生产、库存、配送一体化系统研究

本文主要研究生产、库存、配送一体化复杂系统（ Integrated Production Inventory Distribution System,PID），系统中存在一个供应商和多个下游厂商。供应商生产若干种不同类型的产品，并通过第三方物流（3PL）对下游厂商进行配送。研究的目的在于决定供应商的生产计划以及配送计划，从而使得系统总费用最低。借助于禁忌搜索法．本文提出了求解问题的算法，并且给出了PID与按照订单生产模式的仿真结果的对比，从结果可以看出．PID在一定程度上确实能够降低系统总费用。     

A multi-objective model for lot-sizing with supplier selection for an assembly system

Lot-sizing with supplier selection (LS-SS) is a fast-growing offspring of two major problem parents in logistics and supply chain management (‘lot-sizing’ and ‘supplier selection’). The model proposed in this paper is an attempt to extend it to an assembly system, by formulating a multi-objective model for an integrative problem of LS-SS for assembly items. The total costs of the system, consisting of purchasing, ordering, transportation, assembly, and holding, is considered the first objective function, while the total reliability of the finished products is considered the second objective function. The decision-maker aims to minimise the total costs while maximising the total reliability. Several constraints of the system (e.g. storage capacity, supplier production capacity) are taken into account. Given the complexity of the model, a heuristic evolutionary algorithm is proposed to solve the model. The results indicate which assembly items to order in which quantities, from which suppliers and in which time periods.     

Multi-item dynamic lot-sizing with delayed transportation policy

We optimize ordering and inbound shipment decisions for a manufacturer that sources multiple items from a single supplier. The objective is to satisfy the requirements in the production plan with minimum transportation and inventory holding costs over a multi-period planning horizon. Transportation costs are charged to the manufacturer on a per truck shipment basis. We investigate the option of delaying a less-than-full truckload shipment to the next period, by utilizing the safety stocks as needed. We analyze the impact of delaying shipments on both cost and service levels in stochastic environments through experiments with data from a bus manufacturer. The results indicate that the proposed policy reduces both holding and transportation costs without creating much stock-out risk.