基于安吉汽车物流供应链管理“三链”系统设计

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1、“安吉杯”第四届全国物流设计大赛梦飞&“彼岸”——基于安吉汽车物流供应链管理“三链”系统优化设计（第四届全国大学生物流设计大赛）安庆师范学院梦飞&“彼岸”团队92“安吉杯”第四届全国物流设计大赛梦飞&“彼岸”目录前言······························································-4-第一章安吉汽车物流发展现状分析···································-6-1.1安吉汽车物流发展概况··············

2、·····························-6-1.2安吉汽车物流发展环境分析·······································-6-1.2.1宏观环境分析（基于安吉汽车物流PEST宏观环境分析）·········-7-1.2.1.1政治环境分析（P）····································-8-1.2.1.2经济环境分析（E）····································-10-1.2.1.3社会与

3、文化环境分析（S）·····························-11-1.2.1.4技术环境分析（T）···································-12-1.2.2微观环境分析（基于安吉汽车物流SWOT微观环境分析）·······-13-1.2.2.192“安吉杯”第四届全国物流设计大赛梦飞&“彼岸”优势（S）···········································-14-1.2.2.2劣势（W）··················

4、························-15-1.2.2.3机会（O）··········································-16-1.2.2.3威胁（T）···········································-16-1.3安吉汽车物流SWOT战略分析···································-17-1.4本章小结·············································

5、·········-19-第二章物流链——点、线对接系统优化······························-20-2.1链之线——运输系统优化设计····································-20-2.1.1安吉汽车物流运输系统现状分析····························-20-2.1.2安吉汽车物流运输方式选择································-21-2.1.3安吉汽车物流路径优化模型——协调车辆路径问题的模

6、糊规划模型算法92“安吉杯”第四届全国物流设计大赛梦飞&“彼岸”······················································-22-2.1.4简单算例验证············································-27-2.2安吉汽车物流区域配送中心选址成本分析··························-29-2.2.1区域配送中心选址因素分析································-29-

7、2.2.2公司区域配送中心选址成本分析····························-30-2.2.2.1区域配送中心运输成本计算··························-30-2.2.2.2安吉配送案例分析··································-31-2.3安吉汽车物流采购系统优化······································-34-2.3.1安吉汽车物流采购现状分析··························

8、······-34-2.3.2采购系统优化设计········································-35-2.3.2.1集中采购作业方案··································-35-2.3.2.292“安吉杯”第四届全国物流设计大赛梦飞&“彼岸”建立集中采购管理系统······························-36-2.3.2.3基于Milk-run循环取货方式的零部件配送优化方案