以DC为中枢的农产品冷链库存策略与多温共配优化研究

Based on value-added inventory,survival/death characteristics, randomness of demand and the additive deterioration rate of the agriculture cold chain, this project adopts multi-programming with survival/death rate and stochastic elasticity theory to study the DC-based agricultural cold chain inventory strategy and Multi-temperature joint distribution (MTJD)optimization. Firstly, it is to research the topology and dynamic mechanism of the cold chain logistics and its vertical and horizontal collaboration mechanisms; Secondly, distribution center (DC) as the center of the joint procurement of cold chain retailers, the best purchasing quantities, the optimal procurement cycle and the expected capacity of the DC are determined respectively as a result that the inventory models and manufacturers assignment problem are built and proposed based on DC order processing;Thirdly,under the circumstances of customer demand,time windows, vehicle capacity,multi-temperature storage box capacity and a series of other constraints, taking the penalty costs and cargo damage cost brought by various random disturbances into consideration to discuss the optimization model of multi-temperature joint distribution and the model of linehaul-feeder vehicle routing problem as well as solution programs.Finally,algorithm of the theoretical models and the library of the model are built to provide logistics information standard middleware to be applied in the cold chain companies of production, sales and third-party logistics,etc.

基于冷链库存的增值性、冷链农产品的生存/死亡特征、需求的随机性及供应链各成员产品变质率的叠加性，利用多层规划法及生存/死亡模型和随机弹性理论，研究以DC为中枢的农产品冷链库存策略与多温共配优化决策。首先，研究蓄冷式多温共配冷链物流的拓扑结构和动力机制以及基于DC的冷链物流运作体系的纵向协同和横向协同机制与机理；其次，研究冷链零售商联合采购的最佳采购数量、最佳采购周期、DC最佳库容以及各生产企业最佳生产批量问题，研究以DC为中枢的集中订单处理条件下的库存模型和生产商指派问题；然后，在客户需求量、时间窗、车辆容量和保温箱容量等一系列约束条件下，考虑配送惩罚成本和货损成本的各种随机扰动影响，建立蓄冷式多温共配优化模型和指定点的接驳配送优化模型；最后，编写理论模型的算法程序集和模型库，为物流信息化提供标准构件，应用于冷链品生产、销售及第三方物流企业。