随机需求下的生产—库存—运输联合优化模型

发布时间：2018-12-09 19:50

【摘要】：在供应链成本中，生产成本、库存成本和运输成本占重要地位，所以生产管理、库存管理和运输管理就成为了供应链管理中的三个重要方面。在实际生活中，许多因素都是随机变化的，所以传统的企业或供应链管理方面的文献主要考虑了生产与库存联合优化问题或库存与运输优联合化问题。本文针对非一体化的供应链情形，研究随机需求下生产-库存-运输联合优化模型，主要研究工作如下： (1)考虑随机需求下单供应商和多零售商的生产-库存-运输联合优化问题。在独立决策时，各零售商独立决策其最优订货量和最优订货点，供应商根据各零售商的决策来为之配送。在联合决策时，由供应商统一决策各零售商的送货量和送货时间，并基于此建立单供应商与多零售商的生产-库存-运输优化模型，利用粒子群算法和模拟退火算法相结合的两阶段算法求出最优送货量、最优运输路径和最大期望总利润。然后采用收入共享契约将增加的利润合理分配给供应商和各零售商，使各方利润都得到增加，从而促使各方愿意合作。最后，，通过数值算例验证了联合优化模型优于独立决策模型。 (2)考虑随机需求下多供应商和多零售商的生产-库存-运输联合优化问题。在独立决策时，若零售商到供应商的距离小于或者等于一个固定距离，则运费由供应商承担；否则，运费由零售商承担。各零售商根据利润选择供应商然后独立决策其最优订货量和最优订货点，供应商根据各零售商的决策来为之配送。在联合决策时，利用最近邻算法将零售商分区，分区后问题转化为随机需求下单供应商对多零售商的生产-库存-运输优化模型。
[Abstract]:In the supply chain cost, production cost, inventory cost and transportation cost play an important role, so production management, inventory management and transportation management have become three important aspects of supply chain management. In real life, many factors are randomly changed, so the traditional literature on enterprise or supply chain management mainly considers the joint optimization of production and inventory or the optimization of inventory and transportation. In this paper, the joint optimization model of production-inventory and transportation under stochastic demand is studied for the non-integrated supply chain. The main research work is as follows: (1) considering the joint optimization problem of production-stock-transport for stochastic demand issuing suppliers and multiple retailers. In the independent decision, each retailer independently decides its optimal order quantity and the optimal ordering point, and the supplier distributes it according to the decision of each retailer. In the joint decision, the supplier decides the delivery quantity and delivery time of each retailer uniformly. Based on this, the production-inventory transportation optimization model of single supplier and multi-retailer is established. A two-stage algorithm combining particle swarm optimization and simulated annealing algorithm is used to calculate the optimal delivery volume, the optimal transportation path and the maximum expected total profit. Revenue sharing contracts are then used to distribute the increased profits reasonably to suppliers and retailers, so that the profits of all parties are increased, thus encouraging the parties to cooperate. Finally, numerical examples show that the joint optimization model is superior to the independent decision model. (2) considering the production-inventory-transportation joint optimization problem of multiple suppliers and retailers under random demand. If the distance between the retailer and the supplier is less than or equal to a fixed distance, the freight will be borne by the supplier; otherwise, the freight will be borne by the retailer. Each retailer selects the supplier according to the profit and decides its optimal order quantity and the optimal ordering point independently. The supplier distributes the supplier according to the decision of each retailer. In joint decision making, retailers are partitioned by nearest neighbor algorithm, and the problem after partitioning is transformed into a production-stock-transportation optimization model of suppliers with random demand to multiple retailers.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;F224

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