保证服务模型下的多级产能约束型供应链优化配置方法

发布时间：2018-04-19 09:33

本文选题：供应链配置 + 离散型制造业　；参考：《广东工业大学》2014年硕士论文

【摘要】：供应链配置是从系统全局优化角度出发,对供应链各节点备选的采购、生产、配送等策略进行择优并对其多级库存控制策略参数进行优化设定,以保证供应链能够根据市场环境动态调整战略、规划、运营策略,最终实现供应链整体协调优化。随着市场需求的不确定性加剧及中小微型企业群体的不断扩大,导致传统离散型制造业供应链呈现出高的复杂性和动态性,同时,企业供货能力越来越受制于中小微型企业产能约束。在研究供应链优化配置问题中,考虑需求不确定及有产能约束的库存控制优化和备选策略选择决策显得尤为重要。本文将从最常见的多级库存系统建模手段(保证服务模型)出发,面向离散型制造业,研究考虑需求不确定和有产能约束的供应链优化配置方法。首先,本文结合离散型制造业供应链管理中存在的问题,从供应链配置、保证服务模型的国内外研究现状出发,对课题研究的实践价值和理论价值进行说明。与供应链战略管理相整合,提出了一个供应链配置应用方案,为实现供应链战略、规划、运营阶段进行动态配置与调整提供可能。其次,建立了一个产能约束及需求不确定条件下的供应链优化问题模型。以产能约束下的保证服务模型为基础,分别对供应链中常见的零部件采购、装配、配送环节建立配置模型。最后,提出了一种高求解精度的改进遗传算法。通过重新设计种群初始化规则和遗传算子,为大规模、复杂供应链网络下的供应链配置问题提供可行算法。与精确算法对比,得出该算法的求解精度。通过需求端的不确性和供应端的产能进行敏感性分析,研究得出供应链配置中的供应商、生产和采购策略选择及服务时间设定方面的管理学启示。通过本文的研究,我们建立的考虑市场需求不确定性和有产能约束条件下的供应链配置问题模型和提出的改进遗传算法在理论上弥补了现有供应链配置研究的不足。同时,本文实验仿真的结果也为供应链配置中的备选策略择优和保证服务时间的设定提供可行性建议。
[Abstract]:The supply chain configuration is from the point of view of global optimization system, each node of alternative supply chain procurement, production, distribution and other strategies are preferred and the multi-level inventory control strategy to optimize the parameters set, to ensure the supply chain according to the market environment dynamic adjustment strategy, planning, operation strategy, and ultimately achieve overall optimization of the supply chain with the uncertainty of market demand and the increasing of medium and small micro enterprise group continues to expand, leading to the traditional discrete manufacturing supply chain exhibits high complexity and dynamic, at the same time, the enterprise supply capacity is more and more subject to the small micro enterprise capacity constraints. In optimization of supply chain research, considering the uncertain demand and there are capacity constraints of inventory control and optimization strategies selection decision is particularly important. This paper from the modeling method of multi echelon inventory system (the most common guaranteed service The model) is based on the discrete manufacturing industry, and studies the optimal allocation method of Supply Chain Considering the uncertainty of demand and the capacity constraints.
First of all, based on the existing discrete supply chain management in manufacturing industry, from the supply chain configuration, service model of the presentresearch guarantee, practical value and theoretical value of the research are described. With the integration of supply chain strategic management, puts forward an application scheme for supply chain configuration, supply chain strategy, planning, operation stage of dynamic configuration and adjustment may be provided.
Secondly, a supply chain optimization problem model with capacity constraints and demand uncertainty is established. Based on the guaranteed service model under capacity constraints, the configuration models of procurement, assembly and distribution of common parts in the supply chain are established respectively.
Finally, a modified genetic algorithm is proposed to solve the high accuracy. By redesigning the population initialization rules and genetic operators, provide feasible algorithm for large scale, supply chain configuration of complex supply chain network problems. Compared with the exact algorithm, the accuracy of the algorithm. Through the uncertainty of demand side and supply side the capacity to analyze the sensitivity of the suppliers in the supply chain configuration, production and procurement strategy and Business Hours setting management enlightenment.
Through this study, we set up to consider the market demand uncertainty and improved genetic algorithm model of supply chain configuration capacity constraints and problems proposed in theory makes up the shortage of current research of supply chain configuration. At the same time, the experimental simulation results for the supply chain strategies in the allocation and provide preferential suggestions Business Hours setting.

【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;TP18

【参考文献】