基于时间满意度的物流设施选址与配送体系研究
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摘要
新经济时代,企业间的竞争从成本竞争转变为时间竞争。现代物流通过科学选址,合理配送提高运作效率,尽可能提高对顾客需求的响应速度来为企业创造利润,成为当今企业的“第三利润源泉”。
传统的物流选址问题过于简单地考虑时间这一对企业竞争力影响重大的因素,结合这一特点,本文在参阅大量国内外相关文献的基础上,以系统科学和管理理论为指导,运用多学科交叉的集成分析方法,进行独立研究,主要研究成果如下:
1.从系统的角度对物流设施选址和配送体系进行研究,分析它的功能作用,影响因素,并提出切实可行的实施方法。
2.研究了顾客时间满意度及其函数表达式。重点研究了马云峰等人提出的5种时间满意度函数。
3.运用数学建模的方法对问题进行分析与解决,分别建立以顾客时间满意度最大和物流费用最小为目标的数学模型,提出遗传算法加以解决,通过VC编程实现,结合算例,验证模型的有效性。
论文的创新之处在于:根据不同顾客的需求特点分析研究其时间满意度的函数表示,并把它们引入到选址模型中。时间满意度函数导致模型的非线性,一般的数学规划方法很难解决这类问题,因此本文采取了遗传算法加以求解。
本文的研究结果,对于提高物流企业的运作效率,降低物流企业的运作成本,具有重要的参考价值,运用论文中的研究结果,将会给企业带来良好的社会和经济效应。
In new economic era, enterprise's competition has already been changed from cost competition to time-based competition. Modern logistics has become the third source which creates profits by improving operation efficiency through scientific facility location and distribution, increasing the response speed for customer's demand as much as possible.
The classical logistic facility location problems think little of time, which is a critical issue for a company to gain its competitive advantage nowadays. In the light of this situation, after reading lots of related literatures at home and abroad, the author carries out independent research, under the guide of systematic science and management theory, using multi-subject crossed analysis. The main achievements of this thesis are as followed:
1. From the point of systematic view, study the logistic facility location and distribution system, analyze its function and influence factors, then put forward some feasible methods of implenment.
2. Study custom's time satisfaction and its mathematic expression, especially pay more attention to the five functions put forward by Yunfeng Ma et al.
3. Use modeling methord to analyze and solve the problem. Two models, one is aimed at maximum time satisfaction, the other is minimum logistic cost, are set up. Genetic algorithm programmed by VC is used to calculate the simulated data, which validates the models.
The innovation of this thesis: According to the demands of different customers, study time-satisfaction functions which are introduced to facility location model. Since the time-satisfaction functions make the model become non-linear, ordinary mathematical programming method is difficult to solve such problem. Therefore, the author adopts genetic algorithm in this research.
The achievements of this research have great important value for logistic companies to improve their operation and reduce their cost. The application of these achievements will bring good social and economic influence.
传统的物流选址问题过于简单地考虑时间这一对企业竞争力影响重大的因素,结合这一特点,本文在参阅大量国内外相关文献的基础上,以系统科学和管理理论为指导,运用多学科交叉的集成分析方法,进行独立研究,主要研究成果如下:
1.从系统的角度对物流设施选址和配送体系进行研究,分析它的功能作用,影响因素,并提出切实可行的实施方法。
2.研究了顾客时间满意度及其函数表达式。重点研究了马云峰等人提出的5种时间满意度函数。
3.运用数学建模的方法对问题进行分析与解决,分别建立以顾客时间满意度最大和物流费用最小为目标的数学模型,提出遗传算法加以解决,通过VC编程实现,结合算例,验证模型的有效性。
论文的创新之处在于:根据不同顾客的需求特点分析研究其时间满意度的函数表示,并把它们引入到选址模型中。时间满意度函数导致模型的非线性,一般的数学规划方法很难解决这类问题,因此本文采取了遗传算法加以求解。
本文的研究结果,对于提高物流企业的运作效率,降低物流企业的运作成本,具有重要的参考价值,运用论文中的研究结果,将会给企业带来良好的社会和经济效应。
In new economic era, enterprise's competition has already been changed from cost competition to time-based competition. Modern logistics has become the third source which creates profits by improving operation efficiency through scientific facility location and distribution, increasing the response speed for customer's demand as much as possible.
The classical logistic facility location problems think little of time, which is a critical issue for a company to gain its competitive advantage nowadays. In the light of this situation, after reading lots of related literatures at home and abroad, the author carries out independent research, under the guide of systematic science and management theory, using multi-subject crossed analysis. The main achievements of this thesis are as followed:
1. From the point of systematic view, study the logistic facility location and distribution system, analyze its function and influence factors, then put forward some feasible methods of implenment.
2. Study custom's time satisfaction and its mathematic expression, especially pay more attention to the five functions put forward by Yunfeng Ma et al.
3. Use modeling methord to analyze and solve the problem. Two models, one is aimed at maximum time satisfaction, the other is minimum logistic cost, are set up. Genetic algorithm programmed by VC is used to calculate the simulated data, which validates the models.
The innovation of this thesis: According to the demands of different customers, study time-satisfaction functions which are introduced to facility location model. Since the time-satisfaction functions make the model become non-linear, ordinary mathematical programming method is difficult to solve such problem. Therefore, the author adopts genetic algorithm in this research.
The achievements of this research have great important value for logistic companies to improve their operation and reduce their cost. The application of these achievements will bring good social and economic influence.
引文
[1]Aikens,C.H.Facility location models for distribution planning[J].European Journal of Operational Research,1985,22(3):263-279
[2]Alfred,A,Kuehn,Michael,J,Hamburger.A heuristic program for locating warehouses[J].Operation Research,1962,21:108-134
[3]Cabot,A.V,Ergenguc,S.S.Some branch-and-bound procedures for fixed-cost transportation prolems[J].Naval Research Logistics Quarterly,1984,31:99-112
[4]Cheung,R.M.K,Powell,W.B.Models and algorithms for distribution problems with uncertain demands[J].Transportation Scicence,1996,30:43-59
[5]Cooper,L.Location-allocation problems[J].Operation Research,1963,11:331-343
[6]Cooper,L.The transportation-location problem[J].Operation Research,1972,20:94-108
[7]Dave,U,Pandya,B.Inventory returns and special sales in a lot-size system with constant rate of deterioration[J].European Journal of Operational Research,1985,19:305-312
[8]Efroymson,M.A,Ray,T.L.A branch and bound algorithm for plant location[J].Operation Research Quarterly,1966,23:101-122
[9]Eiichi Taniguchi,Michihiko Noritake&Tadashi Yamada et al.Optimal Size and Location Planning of Public Logistics Terminals[J].Transportation Research Part E 35,1999,2:207-222
[10]Elson,D.G..Site location via mixed-integer programming[J].Operational Research Quarterly,1972,23:105-115
[11]Erlenkotter,D.A dual-based procedure for uncapacitated facility location[J].Operations Research,1978,26:25-54
[12]Eynan,A.The muti-location inventory centralization problem with first-come,first-served allocation[J].Transportation Scicence,1999,114:38-49
[13]Federgruen,Prastacos & Zipkin.An allocation and distribution models for perishable products[J].Operations Research,1986,34(1):75-82
[14]Gao,L,Robinson,E.P.A dual-based optimization procedure for the two-echelon uncapacitated facility location problem[J].Naval Research Logistics,1992,39:85-99
[15]Geoffrion,A.M,Graves,G..W.Multicommodity distribution system design by Benders decomposition[J].Management Science,1974,20:45-58
[16]Hakimi.Optimum locations of switching centers and the absolute centers and medians of a graph[J].Operations Research,1964,12:450-459
[17]Kaufman,L,Eede,M.V&Hansen,P.A plant and warehouse location problem[J].Operations Research Quarterly,1977,28:115-123
[18]Klincewicz,J.G.,Luss,H.A dual-based algorithm for multi-productuncapacitated facility location[J].Transportation Science,1987,21:115-130
[19]Khumawala,B.M.An efficient branch and bound algorithm for the warehouse location problem[J].Management Science,1972,18:58-79
[20]Krarup,J,Pruzan,P.M.The simple plant location problem:Survey and Synthesis[J].European Journal of Operational Research,1983,12:98-102
[21]Lee,C.Y.The multi-product warehouse location problem:Applying a decomposition algorithm[J].International Journal of Physical Distribution and Logistics Management,1993,23:120-135
[22]Mirchandani.Locational decisions on stochastic networks[J].Geographical Analysis,1980,12:172-183.
[23]Nauss,R.M.An improved algorithm for the capacitated facility location problem[J].Journal of the Operational Research Society,1978,29:87-100
[24]peter,H,Peteers.Some new algorithms for location problems on network[J].European Journal of Operation Research,1998,104:299-309
[25]Roland,Durier.The general one center location problem[J].Mathematics of Operation Research,1995,20(2):400-418
[26]Stalk,Jr,G..Time-The next source of competitive advantage[J].Harvard Business Review,1988,66(4):41-51
[27]Syam Siddhartha S.A Model and Methodologies for the Location Problem with Logistical Components[J].Computer & Operation Research,2002,29:1173-1193
[28]Tarantilis,C.D,Kiranoudis,C.T.A meta-heuristic algorithm for the efficient distribution of perishable foods[J].Journal of Food Engineering,2001,50(1):1-9
[29]Warszawski,A.Multi-dimensional location problems.Operations Research Quarterly,1973,24:25-51
[30]蔡临宁.物流系统规划--建模及实例分析[M].北京:机械工业出版社,2003:23-58
[31]陈斯卫.应急物流系统建设初探[J].职业圈,2007,11(63):174-175
[32]崔建,丁明芳和江从发.物流企业实施顾客满意战略的设想[J].物流技术,2003,8:11-13
[33]丁浩,李电生.城市物流配送中心选址方法的研究[J].华中科技大学学报(城市科学版),2004,21(1):50-54
[34]邓爱民.城市配送系统优化研究[D].博士学位论文,武汉理工大学,2005
[35]冯耕中.物流配送中心规划与设计[M].西安:西安交通大学出版社,2004: 38-85
[36]付鹏程,刘金华.物流配送中心的选址决策应用[J].交通科技,2003,1:80-83
[37]高东椰,刘新华.浅论应急物流[J].中国物流与采购,2003,12:22-23
[38]高扬.突发事件冲击下的中国物流[DB/OL].国研网,2003-10-14
[39]郭士正,卢震.二级供应链建模及仿真研究[J].集美大学学报(自然科学版),2004,9(4):346-349
[40]韩冰源,肖生苓.基于遗传算法的易腐货物即时配送路线的优化[J].东北林业大学学报,2007,35(2):70-72
[41]黄洪涛.应急物流系统研究[D].硕士学位论文,大连海事大学,2006
[42]黄轩.一种基于遗传算法的应急设施点选址方法[J].漳州职业技术学院学报,2007,9(2):1-3
[43]吉阿兵.供应链中配送中心的选址问题研究[D].硕士学位论文,上海海运学院,2003
[44]姜大立,杜文和张拥军.易腐物品物流配送中心选址的遗传算法[J].西南交通大学学报,1998,33(4):425-429
[45]姜大立,杨西龙.易腐物品配送中心连续选址模型及其遗传算法[J].系统工程理论与实践,2003,2:62-67
[46]蒋利军.基于顾客满意度的配送中心选址问题研究[D].硕士学位论文,西南交通大学,2005
[47]金海和,陈剑和赵纯均.分销配送网络优化模型及其求解算法[J].清华大学学报(自然科学版),2002,42(6):739-742
[48]康姝.基于时间的企业物流配送绩效研究[D].硕士学位论文,湖南大学,2005
[49]黎青松,袁庆达.一个结合库存策略的物流选址模型[J].西南交通大学学报,2000,35:315-318
[50]李绍荣.铁路易腐货物运输的市场分析[J].冷藏运输.2003,(5):23-25
[51]李延晖,马士华和刘黎明.基于时间约束的供应链配送系统随机模型[J].预测,2004,23(4):46
[52]李晔,陈燕.基于随机需求的多级供应链网络优化模型的研究[J].计算机集成制造系统,2004,10(12):25-28
[53]李佑珍.层次分析法在物流中心选址中的应用[J].青海师范大学学报,2003,2:17-20
[54]刘海燕,李宗平和叶怀珍.物流配送中心选址模型[J].西南交通大学学报,2000,35(3):311-314
[55]卢安文.紧急情况下的物流配送模型[J].西南石油学院学报,2003,2:25-26
[56]鲁晓春,詹荷生.关于配送中心重心法选址的研究[J].北方交通大学学报,2000,24(6):108-110
[57]茆剑.基于混合遗传算法的供应链物流设施选址优化[D].硕士学位论文,河海大学,2006
[58]罗子明.顾客时间满意度[J].商业研究,2002,257:27-29
[59]吕海峰,马维忠和王衍华.基于网络分析方法的物流配送中心选址的研究[J].运筹与管理,2004,24(6):108-110
[60]马云峰,杨超和张敏.物流设施选址中的时间满意问题分析[J].中国物流与采购,2005,17:50-51
[61]马云峰,张敏和杨珺.物流设施选址问题中时间满意度函数的定义及应用[J],物流技术,2005,9:26-29
[62]孟参,王长琼.应急物流系统运作流程分析及其管理[J].物流技术,2006,9:15-17
[63]南剑飞,熊志坚.试论顾客满意度的内涵、特征、功能及度量[J].世界标准化与质量管理,2003,9:11-14
[64]欧忠文,王会云和姜大立等.应急物流[J].重庆大学学报,2004,3:164-165
[65]彭伟华.物流配送选址优化模型的研究[D].硕士学位论文,武汉理工大学,2005
[66]秦应兵,叶怀珍.配送中心服务质量评价指标体系及其模糊综合评价[J].实用物流技术,2000,5:104-105
[67]任春玉,王晓博和李子群.基于供应链下物流配送网络规划研究[J].物流科技,2005,28(5):54-56
[68]戎晓霞,崔玉泉和马建华.不确定环境下的物流配送中心选址模型[J].山东大学学报(理学版),2004,39(6):72-77
[69]沈尔康.易腐物品配送中心选址模型及遗传算法[J].铁道物资科学管理,1998,16(5):35-36
[70]沈建国,熊坚.物流与应急物流略谈[J].物流科技,2004,28(116):4-7
[71]宋明安.紧急救灾物流输配送系统模式构建[D].硕士学位论文,台湾交通大学,2005
[72]孙会君,高自友.一类有竞争的物流配送中心选址模型[J].交通运输工程学报,2002,4:54-57
[73]孙会君,高自友.考虑路线安排的物流配送中心选址双层规划模型及求解算法[J].中国公路学报,2003,16(2):115-119
[74]谭凌,高峻峻和王迎军.基于库存成本优化的配送中心选址问题研究[J].系统工程学报,2004,19(1):59-65
[75]谭国真,高文.时间依赖的网络中最小时间路径算法[J].计算机学报,2002,25(2):165-172
[76]王栋,索志林和李海成等.生鲜农产品配送中心选址研究[J].农村经济与科技,2006,11:24-25
[77]王非,徐渝.物流配送中心选址研究[J].物流技术,2006,6:35-37
[78]王国文.中国物流如何应急[J].中国物流与采购,2003,12:16-17
[79]王晓艳.物流企业顾客满意度研究[D].硕士学位论文,北京工商大学,2005
[80]吴清一.物流管理[M].北京:中国物资出版社,2003:237-259
[81]谢如鹤,邱祝强.论应急物流体系的构建及其运作管理[J].物流技术,2005,10:78-80
[82]谢如鹤,宗岩.论我国应急物流体系的建立[J].广州大学学报(社会科学版),2005,4(11):55-58
[83]玄光男,程润伟.遗传算法与工程优化[M].清华大学出版社,2004,1
[84]杨波.多品种随机数学模型的物流配送中心选址问题[J].中国管理科学,2003,4(2):45-49
[85]杨赟.物流配送中心选址研究[D].硕士学位论文,东北大学,2006
[86]袁际军.现代物流配送路线优化研究[D].硕士学位论文,武汉理工大学,2004
[87]尹传勇.浅析我国应急物流研究现状[J].法制与社会,2007,5:743-744
[88]余政峰,王健.基于指标满意度的物流中心选址研究[J],商场现代化,2006,11:122-123
[89]张长星,党延忠.整合库存控制的分销网络设计模型--LIM[J].系统工程,2003,21(2):107-111
[90]张列平,胡明东.用户满意及用户满意工程[J].工业工程与管理,1998,3:32-35
[91]张俊.基于顾客服务水平的物流配送优化研究[D].硕士学位论文,昆明理工大学,2005
[92]张艳霞,马丽娟.物流中心选址问题研究现状[J].商业研究,2005,10:157-159
[93]张勇,蒋琦.不确定环境下的物流配送中心选址方法研究[J].兰州交通大学学报(自然科学版),2007,26(1):135-137
[94]张永强.物流配送中心的选址模型研究[D].硕士学位论文,华东理工大学,2005
[95]周伯生,樊东平.零时间:21世纪企业的概念构架[J].中国机械工程,2000,11(2):89-92
[96]周梅花.论集约化商品配送中心的选址[J].中国矿业大学学报,2000,29(6):647-649
[2]Alfred,A,Kuehn,Michael,J,Hamburger.A heuristic program for locating warehouses[J].Operation Research,1962,21:108-134
[3]Cabot,A.V,Ergenguc,S.S.Some branch-and-bound procedures for fixed-cost transportation prolems[J].Naval Research Logistics Quarterly,1984,31:99-112
[4]Cheung,R.M.K,Powell,W.B.Models and algorithms for distribution problems with uncertain demands[J].Transportation Scicence,1996,30:43-59
[5]Cooper,L.Location-allocation problems[J].Operation Research,1963,11:331-343
[6]Cooper,L.The transportation-location problem[J].Operation Research,1972,20:94-108
[7]Dave,U,Pandya,B.Inventory returns and special sales in a lot-size system with constant rate of deterioration[J].European Journal of Operational Research,1985,19:305-312
[8]Efroymson,M.A,Ray,T.L.A branch and bound algorithm for plant location[J].Operation Research Quarterly,1966,23:101-122
[9]Eiichi Taniguchi,Michihiko Noritake&Tadashi Yamada et al.Optimal Size and Location Planning of Public Logistics Terminals[J].Transportation Research Part E 35,1999,2:207-222
[10]Elson,D.G..Site location via mixed-integer programming[J].Operational Research Quarterly,1972,23:105-115
[11]Erlenkotter,D.A dual-based procedure for uncapacitated facility location[J].Operations Research,1978,26:25-54
[12]Eynan,A.The muti-location inventory centralization problem with first-come,first-served allocation[J].Transportation Scicence,1999,114:38-49
[13]Federgruen,Prastacos & Zipkin.An allocation and distribution models for perishable products[J].Operations Research,1986,34(1):75-82
[14]Gao,L,Robinson,E.P.A dual-based optimization procedure for the two-echelon uncapacitated facility location problem[J].Naval Research Logistics,1992,39:85-99
[15]Geoffrion,A.M,Graves,G..W.Multicommodity distribution system design by Benders decomposition[J].Management Science,1974,20:45-58
[16]Hakimi.Optimum locations of switching centers and the absolute centers and medians of a graph[J].Operations Research,1964,12:450-459
[17]Kaufman,L,Eede,M.V&Hansen,P.A plant and warehouse location problem[J].Operations Research Quarterly,1977,28:115-123
[18]Klincewicz,J.G.,Luss,H.A dual-based algorithm for multi-productuncapacitated facility location[J].Transportation Science,1987,21:115-130
[19]Khumawala,B.M.An efficient branch and bound algorithm for the warehouse location problem[J].Management Science,1972,18:58-79
[20]Krarup,J,Pruzan,P.M.The simple plant location problem:Survey and Synthesis[J].European Journal of Operational Research,1983,12:98-102
[21]Lee,C.Y.The multi-product warehouse location problem:Applying a decomposition algorithm[J].International Journal of Physical Distribution and Logistics Management,1993,23:120-135
[22]Mirchandani.Locational decisions on stochastic networks[J].Geographical Analysis,1980,12:172-183.
[23]Nauss,R.M.An improved algorithm for the capacitated facility location problem[J].Journal of the Operational Research Society,1978,29:87-100
[24]peter,H,Peteers.Some new algorithms for location problems on network[J].European Journal of Operation Research,1998,104:299-309
[25]Roland,Durier.The general one center location problem[J].Mathematics of Operation Research,1995,20(2):400-418
[26]Stalk,Jr,G..Time-The next source of competitive advantage[J].Harvard Business Review,1988,66(4):41-51
[27]Syam Siddhartha S.A Model and Methodologies for the Location Problem with Logistical Components[J].Computer & Operation Research,2002,29:1173-1193
[28]Tarantilis,C.D,Kiranoudis,C.T.A meta-heuristic algorithm for the efficient distribution of perishable foods[J].Journal of Food Engineering,2001,50(1):1-9
[29]Warszawski,A.Multi-dimensional location problems.Operations Research Quarterly,1973,24:25-51
[30]蔡临宁.物流系统规划--建模及实例分析[M].北京:机械工业出版社,2003:23-58
[31]陈斯卫.应急物流系统建设初探[J].职业圈,2007,11(63):174-175
[32]崔建,丁明芳和江从发.物流企业实施顾客满意战略的设想[J].物流技术,2003,8:11-13
[33]丁浩,李电生.城市物流配送中心选址方法的研究[J].华中科技大学学报(城市科学版),2004,21(1):50-54
[34]邓爱民.城市配送系统优化研究[D].博士学位论文,武汉理工大学,2005
[35]冯耕中.物流配送中心规划与设计[M].西安:西安交通大学出版社,2004: 38-85
[36]付鹏程,刘金华.物流配送中心的选址决策应用[J].交通科技,2003,1:80-83
[37]高东椰,刘新华.浅论应急物流[J].中国物流与采购,2003,12:22-23
[38]高扬.突发事件冲击下的中国物流[DB/OL].国研网,2003-10-14
[39]郭士正,卢震.二级供应链建模及仿真研究[J].集美大学学报(自然科学版),2004,9(4):346-349
[40]韩冰源,肖生苓.基于遗传算法的易腐货物即时配送路线的优化[J].东北林业大学学报,2007,35(2):70-72
[41]黄洪涛.应急物流系统研究[D].硕士学位论文,大连海事大学,2006
[42]黄轩.一种基于遗传算法的应急设施点选址方法[J].漳州职业技术学院学报,2007,9(2):1-3
[43]吉阿兵.供应链中配送中心的选址问题研究[D].硕士学位论文,上海海运学院,2003
[44]姜大立,杜文和张拥军.易腐物品物流配送中心选址的遗传算法[J].西南交通大学学报,1998,33(4):425-429
[45]姜大立,杨西龙.易腐物品配送中心连续选址模型及其遗传算法[J].系统工程理论与实践,2003,2:62-67
[46]蒋利军.基于顾客满意度的配送中心选址问题研究[D].硕士学位论文,西南交通大学,2005
[47]金海和,陈剑和赵纯均.分销配送网络优化模型及其求解算法[J].清华大学学报(自然科学版),2002,42(6):739-742
[48]康姝.基于时间的企业物流配送绩效研究[D].硕士学位论文,湖南大学,2005
[49]黎青松,袁庆达.一个结合库存策略的物流选址模型[J].西南交通大学学报,2000,35:315-318
[50]李绍荣.铁路易腐货物运输的市场分析[J].冷藏运输.2003,(5):23-25
[51]李延晖,马士华和刘黎明.基于时间约束的供应链配送系统随机模型[J].预测,2004,23(4):46
[52]李晔,陈燕.基于随机需求的多级供应链网络优化模型的研究[J].计算机集成制造系统,2004,10(12):25-28
[53]李佑珍.层次分析法在物流中心选址中的应用[J].青海师范大学学报,2003,2:17-20
[54]刘海燕,李宗平和叶怀珍.物流配送中心选址模型[J].西南交通大学学报,2000,35(3):311-314
[55]卢安文.紧急情况下的物流配送模型[J].西南石油学院学报,2003,2:25-26
[56]鲁晓春,詹荷生.关于配送中心重心法选址的研究[J].北方交通大学学报,2000,24(6):108-110
[57]茆剑.基于混合遗传算法的供应链物流设施选址优化[D].硕士学位论文,河海大学,2006
[58]罗子明.顾客时间满意度[J].商业研究,2002,257:27-29
[59]吕海峰,马维忠和王衍华.基于网络分析方法的物流配送中心选址的研究[J].运筹与管理,2004,24(6):108-110
[60]马云峰,杨超和张敏.物流设施选址中的时间满意问题分析[J].中国物流与采购,2005,17:50-51
[61]马云峰,张敏和杨珺.物流设施选址问题中时间满意度函数的定义及应用[J],物流技术,2005,9:26-29
[62]孟参,王长琼.应急物流系统运作流程分析及其管理[J].物流技术,2006,9:15-17
[63]南剑飞,熊志坚.试论顾客满意度的内涵、特征、功能及度量[J].世界标准化与质量管理,2003,9:11-14
[64]欧忠文,王会云和姜大立等.应急物流[J].重庆大学学报,2004,3:164-165
[65]彭伟华.物流配送选址优化模型的研究[D].硕士学位论文,武汉理工大学,2005
[66]秦应兵,叶怀珍.配送中心服务质量评价指标体系及其模糊综合评价[J].实用物流技术,2000,5:104-105
[67]任春玉,王晓博和李子群.基于供应链下物流配送网络规划研究[J].物流科技,2005,28(5):54-56
[68]戎晓霞,崔玉泉和马建华.不确定环境下的物流配送中心选址模型[J].山东大学学报(理学版),2004,39(6):72-77
[69]沈尔康.易腐物品配送中心选址模型及遗传算法[J].铁道物资科学管理,1998,16(5):35-36
[70]沈建国,熊坚.物流与应急物流略谈[J].物流科技,2004,28(116):4-7
[71]宋明安.紧急救灾物流输配送系统模式构建[D].硕士学位论文,台湾交通大学,2005
[72]孙会君,高自友.一类有竞争的物流配送中心选址模型[J].交通运输工程学报,2002,4:54-57
[73]孙会君,高自友.考虑路线安排的物流配送中心选址双层规划模型及求解算法[J].中国公路学报,2003,16(2):115-119
[74]谭凌,高峻峻和王迎军.基于库存成本优化的配送中心选址问题研究[J].系统工程学报,2004,19(1):59-65
[75]谭国真,高文.时间依赖的网络中最小时间路径算法[J].计算机学报,2002,25(2):165-172
[76]王栋,索志林和李海成等.生鲜农产品配送中心选址研究[J].农村经济与科技,2006,11:24-25
[77]王非,徐渝.物流配送中心选址研究[J].物流技术,2006,6:35-37
[78]王国文.中国物流如何应急[J].中国物流与采购,2003,12:16-17
[79]王晓艳.物流企业顾客满意度研究[D].硕士学位论文,北京工商大学,2005
[80]吴清一.物流管理[M].北京:中国物资出版社,2003:237-259
[81]谢如鹤,邱祝强.论应急物流体系的构建及其运作管理[J].物流技术,2005,10:78-80
[82]谢如鹤,宗岩.论我国应急物流体系的建立[J].广州大学学报(社会科学版),2005,4(11):55-58
[83]玄光男,程润伟.遗传算法与工程优化[M].清华大学出版社,2004,1
[84]杨波.多品种随机数学模型的物流配送中心选址问题[J].中国管理科学,2003,4(2):45-49
[85]杨赟.物流配送中心选址研究[D].硕士学位论文,东北大学,2006
[86]袁际军.现代物流配送路线优化研究[D].硕士学位论文,武汉理工大学,2004
[87]尹传勇.浅析我国应急物流研究现状[J].法制与社会,2007,5:743-744
[88]余政峰,王健.基于指标满意度的物流中心选址研究[J],商场现代化,2006,11:122-123
[89]张长星,党延忠.整合库存控制的分销网络设计模型--LIM[J].系统工程,2003,21(2):107-111
[90]张列平,胡明东.用户满意及用户满意工程[J].工业工程与管理,1998,3:32-35
[91]张俊.基于顾客服务水平的物流配送优化研究[D].硕士学位论文,昆明理工大学,2005
[92]张艳霞,马丽娟.物流中心选址问题研究现状[J].商业研究,2005,10:157-159
[93]张勇,蒋琦.不确定环境下的物流配送中心选址方法研究[J].兰州交通大学学报(自然科学版),2007,26(1):135-137
[94]张永强.物流配送中心的选址模型研究[D].硕士学位论文,华东理工大学,2005
[95]周伯生,樊东平.零时间:21世纪企业的概念构架[J].中国机械工程,2000,11(2):89-92
[96]周梅花.论集约化商品配送中心的选址[J].中国矿业大学学报,2000,29(6):647-649