基于非合作博弈的随机需求联合补充配送问题研究

发布时间：2018-03-04 09:24

本文选题：联合补充配送　切入点：蒙特卡罗模拟　出处：《哈尔滨理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：联合补充及配送是解决供应链中产品在供应商、仓库和零售商之间调配问题的一种重要方式。随着生产力迅速的发展,人们对商品的需求也随之提高,市场环境中诸多因素都会影响到产品的运输调度。例如,当产品的需求率不确定时,会导致供应商在补充产品时的订购成本发生变化、给零售商配送时所产生的等待成本也变得不确定;当供应商在考虑联合补充中个人的补充成本以及均摊费用时,会以自身利益为前提,这时就需要通过博弈的方式来得到一组纳什均衡策略组合的联合补充方案。因此对联合补充及配送问题进行更深入的研究就显得尤为重要。本文研究的是多产品的联合补充及配送问题,首先确立由多个供应商补充产品到中心仓库,再由仓库统一配送给零售商为前提条件的问题模型,在达到补充周期的情况下,最终目标是使得总库存成本最小。在需求率不确定的情况下,会对订购成本和等待成本产生直接的影响,最终导致目标函数产生变化。为了合理的处理这种不确定性,本文采用随机模拟技术对不确定的需求率进行模拟,将模拟产生的数据应用到实例中,比较随机需求率和确定需求率的总库存成本。其次,将博弈论应用到联合补充配送问题上,运用非合作博弈理论研究供应商的补充策略,确立博弈参数和模型,分别考虑供应商的补充成本信息是否共享,当共享但可能出现误报的情况时,得出博弈的结构性均衡及相应的周期和成本;当不完全共享时,得出非支配的纳什均衡策略组合及相应周期和成本,比较两种组合周期和成本,确定最优的补充周期,得到总成本最低的策略组合。最后,结合文章中的随机联合补充配送模型和博弈模型,设计了相应的库存管理原型系统,进行系统结构设计,并用MVC框架和Java编程技术来完成系统的编译,验证了理论研究成果的正确性。
[Abstract]:Joint replenishment and distribution is an important way to solve the problem of product allocation between suppliers, warehouses and retailers in the supply chain. With the rapid development of productivity, the demand for goods increases. Many factors in the market environment affect the transportation scheduling of the product. For example, when the demand rate of the product is uncertain, the order cost of the supplier to supplement the product will change. The waiting costs incurred in distribution to retailers also become uncertain; when suppliers consider individual supplemental costs and equalization costs in a joint replenishment, they are preoccupied with their own interests. At this time, we need to get a set of joint supplement scheme of Nash equilibrium strategy combination by game method. Therefore, it is very important to study the joint supplement and distribution problem. For joint replenishment and distribution, First of all, a problem model with multiple suppliers supplying products to the central warehouse, and then unified distribution to the retailer by the warehouse is established. Under the condition that the replenishment cycle is reached, The ultimate goal is to minimize the total inventory cost. When the demand rate is uncertain, it will have a direct impact on the order cost and the waiting cost, and eventually lead to the change of the objective function. In this paper, random simulation technology is used to simulate the uncertain demand rate, and the data generated by the simulation is applied to an example to compare the stochastic demand rate with the total inventory cost of determining the demand rate. Secondly, The game theory is applied to the joint supplementary distribution problem, and the non-cooperative game theory is used to study the supplier's supplementary strategy, and the game parameters and models are established to consider whether the supplier's supplementary cost information is shared or not. The structural equilibrium of the game and the corresponding cycle and cost are obtained when the sharing is not complete, and the combination of the non-dominated Nash equilibrium strategy and the corresponding cycle and cost are obtained when the game is not fully shared. By comparing the two combination cycles and cost, the optimal replenishment cycle is determined, and the strategy combination with the lowest total cost is obtained. Finally, combined with the stochastic joint supplementary distribution model and the game model in this paper, the corresponding inventory management prototype system is designed. The system structure is designed and compiled with MVC framework and Java programming technology, which verifies the correctness of the theoretical research results.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F274;TP311.52

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