面向不确定信息的在线商务物流车辆调度问题的MATALB建模与仿真
关键词 物流 不确定信息 车辆调度 神经网络 MATLAB Title Modeling and simulation of MATALB based on uncertain
information-oriented online business logistics
vehicle routing problem
Abstract
Logistics path selection is an important part of the logistics activities， it has great
significance for reducding operating costs and enhancing the market competitiveness.
This paper based on a well-known food chain enterprise and had a practice study in the
logistics path optimization and selection of modeling software MATLAB.
Based on the study of vehicle routing problem, logistics path optimization method
and Hopfield neural network design principles, the application of modeling software
MATLAB and Hopfield neural network algorithm in solving logistics path optimization
and selection are discussed. A simulation model for the logistics distribution activities
of Christine chain store is put forward. Besides, the cases of demands are constant and
demands are changed are discussed, it is more conducive to choose which one is the
optimal path. This paper provided theoretical basis and reference examples by applying
mathematical modeling software to solve the distribution problem of enterprise
logistics.
Keywords Logistics Uncertain information Vehicle routing problem
Neural network MATLAB
目 录
1 引言.. 1
1.1 研究背景.. 1
1.2 本文的研究内容.. 2
2 物流配送车辆调度问题. 4
2.1 物流配送车辆调度问题概述 4
2.1.1 物流配送车辆调度问题的定义.. 4
2.1.2 物流配送车辆调度问题的分类.. 5
2.1.2.1 确定性信息车辆调度问题 6
2.1.2.2 不确定性信息车辆调度问题 . 6
2.1.3 物流配送车辆调度问题的约束条件. 6
2.2 车辆调度问题的国内外研究现状 7
2.3 不确定信息的物流配送车辆调度问题 . 8
2.3.1 随机VRP .. 8
2.3.2 模糊VRP .. 9
2.3.3 动态VRP . 10
2.3.4 动态调度策略 11
2.4 在线商务下的车辆调度问题 13
3 车辆调度模型和算法.. 15
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