服务备件供应链选址问题的克隆免疫算法

发布时间：2018-04-23 19:28

本文选题：供应链网络 + 服务备件　；参考：《哈尔滨理工大学》2014年硕士论文

【摘要】：在当前市场经济全球化的形势下，供应链管理作为先进高效的管理模式，是企业提升竞争力和经济收益的有效途径之一。目前，随着市场的大环境的转变，逐步从相对成熟的产品供应链体系向服务备件供应链体系发展。服务备件作为产品售后领域的主体，越来越得到制造企业的重视，特别是现阶段产品利润被不断压缩，产品售后服务已经成为制造企业营销和收益的关键。供应链管理的环节之一是网络优化选址，它通过考虑配送成本、建设成本和运营成本等因素，建立合理的配送中心对供应链网络各环节进行的协调，达到企业总经营成本最小并使企业利润最大化的目标。本文主要针对服务备件供应链体系深入探究，考虑服务备件的分销特性，组建多产品分销选址模型。同时，为保证售后业务中“服务至上”的营销目的，引入基于时间窗的客户满意度量化思想，应用客户满意度函数与成本函数集成的评价方法对服务备件配送选址问题进行深入研究。通过建立该服务备件供应链选址模型，在保证服务质量的前提下实现物流网络中各配送中心的总配送成本最低的目标，进而整体上实现效益最优化。在模型求解方面，考虑遗传算法对种群规模要求过大，必然导致进化速度过慢的局限性，本文提出改进的克隆免疫遗传算法，，即对不同适应度的个体择优选择，并且从中选取优良个体进行自适应的克隆操作，这样能够进一步提升种群的运算效率，减少迭代次数，尽快得到最优解，使得算法求解性能得到提高。通过应用汽车服务备件配送实例对该选址模型进行验证，使用遗传算法和克隆免疫算法分别对此模型求解。将计算得出的结果进行比对，验证克隆免疫算法用于求解该模型的正确性和合理性。
[Abstract]:With the globalization of market economy, supply chain management, as an advanced and efficient management mode, is one of the effective ways for enterprises to enhance their competitiveness and economic benefits. At present, with the change of market environment, the relatively mature product supply chain system is gradually developed into the service spare parts supply chain system. Service spare parts, as the main body in the field of product after-sale, have been paid more and more attention by manufacturing enterprises, especially at this stage, the profit of products has been continuously compressed, and product after-sales service has become the key to marketing and income of manufacturing enterprises. One of the links of supply chain management is network optimization location. By considering the factors of distribution cost, construction cost and operation cost, it establishes a reasonable distribution center to coordinate each link of supply chain network. Achieve the goal of minimizing the total operating cost and maximizing the profits of the enterprise. This paper mainly discusses the supply chain system of service spare parts, considering the distribution characteristics of service spare parts, sets up a multi-product distribution location model. At the same time, in order to ensure the marketing purpose of "service first" in after-sales business, the time window based quantification of customer satisfaction is introduced. Based on the evaluation method of customer satisfaction function and cost function, the problem of service spare parts distribution location is studied. By establishing the service spare parts supply chain location model, the goal of the lowest total distribution cost of each distribution center in the logistics network can be achieved under the premise of guaranteeing the service quality, and then the benefit optimization can be realized as a whole. In the aspect of model solving, considering the limitation that the genetic algorithm requires too much population size, it will inevitably lead to the slow evolution speed. In this paper, an improved clonal immune genetic algorithm is proposed, that is, to select individuals with different fitness. And select good individuals to carry out adaptive cloning operation, which can further improve the efficiency of the population, reduce the number of iterations, as soon as possible to obtain the optimal solution, and improve the performance of the algorithm. The model is verified by vehicle service spare parts distribution example and solved by genetic algorithm and clone immune algorithm respectively. The calculated results are compared to verify the correctness and rationality of the clonal immune algorithm for solving the model.
【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】：2014
【分类号】：TP18;F252

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