达明公司物流配送系统规划与设计
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摘要
近年来国内物流产业正在快速发展，物流市场在壮大的同时，竞争亦日趋激烈，顾客对物流服务质量的要求提高，以及行业竞争使物流企业格外注重在物流配送作业上的科学与高效管理。而信息与通讯技术的发展和应用为物流配送的高效与精确运作提供了有力的技术支撑。
本研究根据达明公司的实际需求，为其规划和设计了关于配送作业的一套物流配送系统，实现了该公司在配送作业上的智能运作与控制，它包括配送路线优化、智能车辆调度与监控管理和配送信息处理等功能。并在实际运用中得到较好的效果，为企业的物流运作节省了成本，提高了效率。
本研究在整个物流配送系统的规划与设计中，根据达明公司的物流配送运作建立其适用的数学模型，并通过遗传算法及程序来求解该模型。通过在系统路线优化运算模块上的应用，实证效果非常良好；通过建立基于GPS／GIS／GSM等信息通讯技术的配送系统运作平台，实现了配送系统对配送路线优化、车辆调度与监控的智能管理和配送信息处理与存储等功能。
达明发展公司与西工大空管所在物流配送系统研发上的合作取得很好的成果，本研究实现了初期规划与设计的目标，而后续的系统维护与升级工作依然任重道远。希望这种企业与学府研究所的合作有一个好的开始，亦有其长远的发展空间和前景。
Logistics industy has developed very fast in recent years. With the logistics market becoming stronger, the competition has become more and more drastic. The customer require higher logistics servise quality, also trade competition make logistics companies pay more attention to scientific and efficient logistics distribution management. The development of information and communication technoloy offers powerful technical support for the efficient and accurate logistics distribution.
According to the practical requirement of Topmin Development Co.Ltd. ,this research designs a distribution system. It can implemete intelligent control of supply chain management. It includes optimization route intelligent vehicles distribution and controling system allocating and trasportation information processing and so on . It can gain satisfied effect in practical use.It can cut down the cost of transportation and improve the efficiency of logistics in enterprise.
In the layout and the designing of the allocating and trasportation system, the research set up a suitble mathmatic model according to the allocating and trasportation of Topmin Development Co.,Ltd .It solves the model using the genetic algorithm and program.By applied in optimization route module of system route,it can gain the expected results. Though establishing supply system flatform based on information technology such as GPS, GIS and GSM, it can achieve many functions such as route optimizateed, intelligent management and dispatching of vehicles.
The cooperation of Topmin Development Co.Ltd and Air Traffic Management Institute of NWPU on the designing of logistics distribition system has persuited great achievements.This research can achieve all initial goals,but there are also many works remained to make the system perfect.Wish such cooperation between company and university a good start and a better preview.
本研究根据达明公司的实际需求，为其规划和设计了关于配送作业的一套物流配送系统，实现了该公司在配送作业上的智能运作与控制，它包括配送路线优化、智能车辆调度与监控管理和配送信息处理等功能。并在实际运用中得到较好的效果，为企业的物流运作节省了成本，提高了效率。
本研究在整个物流配送系统的规划与设计中，根据达明公司的物流配送运作建立其适用的数学模型，并通过遗传算法及程序来求解该模型。通过在系统路线优化运算模块上的应用，实证效果非常良好；通过建立基于GPS／GIS／GSM等信息通讯技术的配送系统运作平台，实现了配送系统对配送路线优化、车辆调度与监控的智能管理和配送信息处理与存储等功能。
达明发展公司与西工大空管所在物流配送系统研发上的合作取得很好的成果，本研究实现了初期规划与设计的目标，而后续的系统维护与升级工作依然任重道远。希望这种企业与学府研究所的合作有一个好的开始，亦有其长远的发展空间和前景。
Logistics industy has developed very fast in recent years. With the logistics market becoming stronger, the competition has become more and more drastic. The customer require higher logistics servise quality, also trade competition make logistics companies pay more attention to scientific and efficient logistics distribution management. The development of information and communication technoloy offers powerful technical support for the efficient and accurate logistics distribution.
According to the practical requirement of Topmin Development Co.Ltd. ,this research designs a distribution system. It can implemete intelligent control of supply chain management. It includes optimization route intelligent vehicles distribution and controling system allocating and trasportation information processing and so on . It can gain satisfied effect in practical use.It can cut down the cost of transportation and improve the efficiency of logistics in enterprise.
In the layout and the designing of the allocating and trasportation system, the research set up a suitble mathmatic model according to the allocating and trasportation of Topmin Development Co.,Ltd .It solves the model using the genetic algorithm and program.By applied in optimization route module of system route,it can gain the expected results. Though establishing supply system flatform based on information technology such as GPS, GIS and GSM, it can achieve many functions such as route optimizateed, intelligent management and dispatching of vehicles.
The cooperation of Topmin Development Co.Ltd and Air Traffic Management Institute of NWPU on the designing of logistics distribition system has persuited great achievements.This research can achieve all initial goals,but there are also many works remained to make the system perfect.Wish such cooperation between company and university a good start and a better preview.
引文
[1] 现代物流与交通运输系统 人民交通出版社 高自友 孙会君 2003
[2] 2002年中国物流业发展工作报告 中国仓储协会 2003年
[3] 第三方物流理论、操作与案例 上海社会科学院出版社 骆温平
[4] 电子与通讯技术应用(第231期)2002年
[5] 物流管理与运筹策略 韩又华 中国物流网文摘
[6] Blanchard B S. Logistics engineering and management.prentice-Hall,Englewood Cliffs,nj,1996
[7] Ross, D. F. (1998), Competing Through Supply Chain Management, Chapman& Hall.
[8] David, S. L., Philip, K., Edith, S. L. (2000), Designing and Managing the Supply Chain
[9] Mabert, V. A. and Venkataramanan, M. A. (1998), "Special Research Focus on Supply Chain Linkages"
[10] Beamon, B. M. (1998), "Supply Chain Design and Analysis: Models and Methods"
[11] 第三方物流企业运作管理 丁力 湖南科学技术出版社 2002
[12] Ballou R H. Business logistics management.Prentice-Hall,Englewood Cliffs,NJ,1992
[13] Virum "Third Party Logistics Development in Europe" Logistics and Transportation Review, 1997
[14] Cooper James ,"The challenge of change", (1992)
[15] 地理信息系统与物流中心配送系统物流技术2000年第三期
[16] 台湾地区物流协会：〈物流论文集〉1998年5月
[17] 物流管理供应链过程的一体化唐纳德 J．鲍尔索克斯 戴维 J．克劳斯著 林国龙 宋柏 沙梅 译 机械工业出版社
[18] 海尔物流创新模式一流三网 郜振廷 中国时代经济出版社
[19] 高效率配途中心的设计与经营 孙宏岭．中国物资出版社
[20] 遗传算法理论应用与软件实现 王小平 曹立明 西安交通大学出版社
[21] 多重运输问题的遗传算法及其遗传局部搜索．系统工程理论与实践．蔡廷光 1997
[22] J.H.Holland, Adaption in Natural and Artificial Systems, Univerity of Michigan Pres, Ann Arbor, 1975.
[23] D.E.Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning,Addison-Wesley, Reading, MA, 1989.
[24] C.A.Ankenbrandt, B.P.Buckles and F.E.Petry,"Scene Recognition Using GeneticAlgorithms with Semantic Nets "1990
[25] J.D.Scharffer, R.A.Caruana, L.J.Eshelman and R.Das," A Study of Control Parmeters Affecting Online performance of Genetic Algorithm for Finction Optimization", June 1989.
[26] J.E.Baker," Adaption Selection Methods for Genetic Algorithms "1992
[27] 遗传算法求解旅行推销员问题时算子的设计与选择．赵赫，杜端甫．
[28] 应用基因算法求解优先级旅行推销员问题探讨 电子学报 廖雯慈．
[29] Winter G. Genetic Algorithms in Engineering and Computer Science.Wiley 1995
[30] 以遗传算法则解决多目标考量的巡回旅行商问题探讨 电子学报 徐俊能
[31] 巡回旅行商问题遗传算法的变异性研究 斯密斯 德兰 1987
[32] 旅行推销员问题探讨．金白格 李葛 1985．
[33] 物流系统车辆配送路径规划 曹佳瑞 2000
[34] 基于知识的软件智能化技术 高济 浙江大学出版社 1994
[35] 物流系统派车路径规划研究 陈徐国庆 2001
[36] 用于最优化的计算智能 李军，边肇祺 清华大学出版社
[37] 地理信息系统在物流配送中的应用 江崇礼 任昌荣 懂明 大连理工大学系统工程研究所
[38] 智能物流运输系统 周立新 刘琨 同济大学沪西校区运输管理工程系
[2] 2002年中国物流业发展工作报告 中国仓储协会 2003年
[3] 第三方物流理论、操作与案例 上海社会科学院出版社 骆温平
[4] 电子与通讯技术应用(第231期)2002年
[5] 物流管理与运筹策略 韩又华 中国物流网文摘
[6] Blanchard B S. Logistics engineering and management.prentice-Hall,Englewood Cliffs,nj,1996
[7] Ross, D. F. (1998), Competing Through Supply Chain Management, Chapman& Hall.
[8] David, S. L., Philip, K., Edith, S. L. (2000), Designing and Managing the Supply Chain
[9] Mabert, V. A. and Venkataramanan, M. A. (1998), "Special Research Focus on Supply Chain Linkages"
[10] Beamon, B. M. (1998), "Supply Chain Design and Analysis: Models and Methods"
[11] 第三方物流企业运作管理 丁力 湖南科学技术出版社 2002
[12] Ballou R H. Business logistics management.Prentice-Hall,Englewood Cliffs,NJ,1992
[13] Virum "Third Party Logistics Development in Europe" Logistics and Transportation Review, 1997
[14] Cooper James ,"The challenge of change", (1992)
[15] 地理信息系统与物流中心配送系统物流技术2000年第三期
[16] 台湾地区物流协会：〈物流论文集〉1998年5月
[17] 物流管理供应链过程的一体化唐纳德 J．鲍尔索克斯 戴维 J．克劳斯著 林国龙 宋柏 沙梅 译 机械工业出版社
[18] 海尔物流创新模式一流三网 郜振廷 中国时代经济出版社
[19] 高效率配途中心的设计与经营 孙宏岭．中国物资出版社
[20] 遗传算法理论应用与软件实现 王小平 曹立明 西安交通大学出版社
[21] 多重运输问题的遗传算法及其遗传局部搜索．系统工程理论与实践．蔡廷光 1997
[22] J.H.Holland, Adaption in Natural and Artificial Systems, Univerity of Michigan Pres, Ann Arbor, 1975.
[23] D.E.Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning,Addison-Wesley, Reading, MA, 1989.
[24] C.A.Ankenbrandt, B.P.Buckles and F.E.Petry,"Scene Recognition Using GeneticAlgorithms with Semantic Nets "1990
[25] J.D.Scharffer, R.A.Caruana, L.J.Eshelman and R.Das," A Study of Control Parmeters Affecting Online performance of Genetic Algorithm for Finction Optimization", June 1989.
[26] J.E.Baker," Adaption Selection Methods for Genetic Algorithms "1992
[27] 遗传算法求解旅行推销员问题时算子的设计与选择．赵赫，杜端甫．
[28] 应用基因算法求解优先级旅行推销员问题探讨 电子学报 廖雯慈．
[29] Winter G. Genetic Algorithms in Engineering and Computer Science.Wiley 1995
[30] 以遗传算法则解决多目标考量的巡回旅行商问题探讨 电子学报 徐俊能
[31] 巡回旅行商问题遗传算法的变异性研究 斯密斯 德兰 1987
[32] 旅行推销员问题探讨．金白格 李葛 1985．
[33] 物流系统车辆配送路径规划 曹佳瑞 2000
[34] 基于知识的软件智能化技术 高济 浙江大学出版社 1994
[35] 物流系统派车路径规划研究 陈徐国庆 2001
[36] 用于最优化的计算智能 李军，边肇祺 清华大学出版社
[37] 地理信息系统在物流配送中的应用 江崇礼 任昌荣 懂明 大连理工大学系统工程研究所
[38] 智能物流运输系统 周立新 刘琨 同济大学沪西校区运输管理工程系
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