基于复杂系统的逆向物流网络动态多目标决策系统设计

基于复杂系统的逆向物流网络动态多目标决策系统设计(任务书,开题报告,论文说明书16000字)
摘要
环境问题加剧、社会资源压力增大、产品更新迭代速度快等问题使得逆向物流网络更加复杂与不确定，对逆向物流网络优化也提出了更高的要求。建立一个完备的逆向物流回收再用体系，不但能降低生产制造商的生产成本、提高其信誉度，更节约了自然资源，是循环经济的一种具体表现。
针对这样的问题，本文通过对逆向物流网络构造、逆向物流运行要素的研究，结合多目标优化理论，以逆向物流网络运行的总成本最小化、回收率和再处理加工的生产效益最大化为目标，建立了逆向物流网络多目标优化模型。模型通过调用GRG和SLP算法，运用Lingo、Matlab软件进行求解，并进行数据可视化界面展示，形成一个完备的基于复杂系统的逆向物流网络动态多目标决策系统。最后，通过现实的案例应用和系统测试评估，证明该系统在面对复杂、不确定的逆向物流网络体系时具有较强的适应性和有效性，能够给出相应的网络最优化决策，这也体现了其重要的现实价值。
本文基于回收产品的多样性和不同产品的回收复杂性，结合多目标优化理论，建立数学模型求解并进行可视化界面展示，构建出一个逆向物流网络多目标决策系统，以解决逆向物流中的成本、路线、经济效益等方面的均衡求解问题。
关键词：复杂系统；逆向物流；数学模型；多目标决策

Abstract
The problems such as the intensification of environmental problems, the increasing pressure of social resources and the rapid iterative speed of product renewal make the reverse logistics network more complex and uncertain, and put forward higher requirements for the optimization of reverse logistics network. The establishment of a complete reverse logistics recycling system can not only reduce the production cost of production manufacturers, improve their credibility, but also save natural resources, which is a concrete manifestation of circular economy.
Aiming at this problem, this design establishes the multi-objective optimization model of reverse logistics network through the research of reverse logistics network construction, reverse logistics operation elements, combined with multi-objective optimization theory, with the goal of minimizing the total cost of reverse logistics network operation, the maximization of recovery rate andproduction benefit of reprocessing processing. By calling GRG and SLP algorithms, the model uses Lingo and Matlab software to solve them, and displays the data visualization interface, and finally forms a complete reverse logistics network dynamic multi-objective decision-making system based on complex system. Finally, through the realistic case application and system test evaluation, it is proved that the system has strong adaptability and effectiveness in the face of complex and uncertain reverse logistics network system, and can give the corresponding network optimization decision, which also embodies its important practical value.
Based on the diversity of recycled products and the complexity of recycling different products, combined with multi-objective optimization theory,in this paper, a mathematical model is established to solve and visualize the interface, and a multi-objective decision system for reverse logistics network is constructed to solve the problem of balanced solution of cost, route and economic benefit in reverse logistics.
Key words：Complex systems；Reverse logistics；Mathematical models；Multi-objective decision making


 
目录
第1章绪论    1
1.1 研究的目的    1
1.2 研究的意义    1
1.3 国内外研究现状    2
1.3.1 国外研究现状    2
1.3.2 国内研究现状    2
1.4 设计的内容和方法    3
第2章逆向物流基本概念和理论    4
2.1 逆向物流含义和特点    4
2.1.1 逆向物流的含义    4
2.1.2 逆向物流的特点    4
2.2 逆向物流网络构造    5
2.3 逆向物流网络运行要素    6
2.4 逆向物流网络运行目标    7
第3章多目标决策模型建立    8
3.1 问题描述    8
3.1.1 问题的基本假设    8
3.1.2 模型需要考虑的主要因素    8
3.2 模型建立    9
3.2.1 参数设置    9
3.2.2 碳排放量的计算    10
3.2.3不确定性变量的处理    10
3.2.4 数学模型    11
第4章模型求解    14
4.1 算法选择    14
4.2 参数说明及算法应用    16
4.3 模型求解    19
第5章系统应用与测试评估    24
5.1 案例应用    24
5.2 逆向物流多目标决策系统测试评估    27
第6章全文总结与研究展望    31
6.1 全文总结    31
6.2 研究展望    31
参考文献    32
致谢    34