不确定环境下逆向物流系统的构建与优化

发布时间：2018-01-29 20:15

本文关键词： 逆向物流不确定性回收预测回收模式网络结构性能优化信息平台模糊神经网络 Stackelberg博弈模糊规划改进粒子群算法 SD仿真　出处：《浙江大学》2014年博士论文　论文类型：学位论文

【摘要】：逆向物流是相对于传统正向物流而言的一种新型物流控制模式,主要研究如何有效实现产品的回收与再利用。逆向物流的实施可以带来巨大的经济效益、社会效益和环境效益。不确定性是逆向物流的最大特点,也增加了逆向物流系统构建与优化的难度。本文结合国家863课题,以废旧家电为研究对象,总结了逆向物流管理的研究现状,分析了逆向物流的不确定性,并预测了废旧产品的回收水平。在此基础上,深入研究了回收模式决策、回收网络架构、动态性能优化等方面的内容,并设计了系统的信息服务平台。本文的研究可为逆向物流系统的构建提供科学的理论基础和方法指导。第一章回顾了论文研究的背景,阐明了论文研究的意义。描述了逆向物流的相关概念。论述了论文相关领域的国内外研究现状。最后给出了论文的研究思路和框架。第二章在分析逆向物流系统不确定的基础上,描述了逆向物流的不确定性衍生机理概念模型,研究了基于模糊理论的系统构建与优化方法体系。接着基于产品全生命周期,分析了影响废旧产品回收数量和回收时间的主要因素,建立了回收水平的模糊神经网络预测模型。第三章对比分析了常见的逆向物流回收模式的特征。重点针对制造商自营、经销商负责以及第三方部分负责这三种回收模式,对应建立了模糊不确定环境下的双层规划模型,在Stackelberg框架下进行了模型的求解,考虑到回收方的投资效率和制造商的风险偏好,定量比较分析了各回收模式的最优均衡零售价、回收率、批发价以及供应链各成员利润,并从供应链整体的优化角度判断了制造商决策的合理性。为了保证逆向物流外包模式时合作关系的稳定性,设计了合作契约下的回收利益分配机制。第四章描述了逆向物流网络的组成与各设施的功能,根据与正向物流网络的关联程度,分析了三种典型的网络组织结构。以网络运作总成本最小为优化目标,建立了逆向物流网络的通用优化模型,模型中考虑了产品回收量、需求量以及各设施处理能力的不确定性,心用模糊机会约束规划方法将模型转化成了清晰化等价形式,并提出了一种自适应动态调整惯性权重的粒子群算法进行求解。进而探讨了网络结构的环境适应能力,构建了性能稳健指数来评价设计网络的稳健性。第五章研究了环保策略、再制造能力扩张策略以及不同市场行为等外部因素对逆向物流系统中长期的影响,建立了SD模型对系统性能进行了动态仿真。通过选择不同的参数组合分析了不同情形下的系统性能,为政策制定者和决策者对逆向物流系统进行中长期的动态规划提供了一个有用的工具。第六章在论文理论研究的基础上,对逆向物流信息服务平台进行了需求分析,描述了平台的总体结构和功能模型。第七章对总结了本文研究所取得的成果,并指出了今后进一步的研究方向。
[Abstract]:The reverse logistics is compared with the traditional forward logistics as a new logistics control mode, mainly studies how to effectively implement the product recovery and reuse. The implementation of reverse logistics can bring huge economic benefits, social benefits and environmental benefits. The uncertainty is the biggest characteristic of reverse logistics, also increased the difficulty of constructing reverse logistics system and optimization. Combined with the National 863 project, the waste electrical appliances as the research object, summarizes the research status of reverse logistics management, analyzes the uncertainty of reverse logistics, and to predict the recovery level of waste products. On the basis of in-depth study of the recovery mode decision, recovery network architecture, dynamic performance optimization of the content. And the design of the information service platform system. This research can provide a theoretical basis and methods of scientific guidance for the construction of reverse logistics system.
The first chapter reviews the background of the research, expounds the significance of the research, describes the related concepts of reverse logistics, and discusses the research status quo in related fields at home and abroad. Finally, it gives the research idea and framework of the paper.
The second chapter based on the analysis of the uncertainty of reverse logistics system, describes the uncertainty of reverse logistics derivative mechanism conceptual model, research the construction and optimization of the system based on the fuzzy theory. Then the whole life cycle of the products based on the analysis of the impact of waste products recycling and recovery time of the number of main factors, prediction model is established fuzzy neural network recovery level.
The third chapter is the comparative analysis of the reverse logistics mode. Focusing on the common features of the manufacturer and the third party is responsible for the self, the dealer responsible for the three part of the recovery mode and corresponding established uncertain fuzzy bilevel programming model under the environment of the solution of the model under the framework of Stackelberg, considering the investment efficiency and recovery of the manufacturers the risk preference of quantitative comparative analysis of the optimal equilibrium retail price, the recovery mode of recovery, the wholesale price and the profit of the supply chain members, and optimize the supply chain from the perspective of the overall judgment of rationality. In order to ensure the stability of the decision makers of reverse logistics outsourcing cooperation mode, designed the recovery mechanism of interest distribution cooperation contract next.
The fourth chapter describes the reverse logistics network and the composition of the facilities, according to the degree of correlation with forward logistics network, analyzes three typical network structures. The network operation of minimum total cost as optimization objectives, and establish a general optimization model of reverse logistics network model, considering the product recovery rate of senior high school entrance examination, demand and the capacity of facilities for treatment of the uncertainty of heart with fuzzy chance constrained programming method the model is transformed into a clear equivalence form, and proposed an adaptive dynamic adjustment of inertia weight particle swarm algorithm. And then discusses the network structure's ability to adapt to the environment, constructs a robust performance index to evaluate the robustness of network design.
The fifth chapter studies the environmental protection strategy, remanufacturing capacity expansion strategy and market behavior of different external factors on the long-term effect of reverse logistics system, SD model is established and the dynamic simulation of the system performance. The system performance under different conditions are analyzed by choosing different combinations of parameters, decision makers and policy makers for dynamic programming long term of reverse logistics system provides a useful tool.
The sixth chapter, based on the theoretical research of the thesis, analyzes the requirements of the reverse logistics information service platform, and describes the overall structure and function model of the platform.
The seventh chapter summarizes the achievements of this study, and points out the further research direction in the future.

【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：F252;TP311.52

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