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生鲜农产品配送系统优化与动态仿真
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摘要
随着信息技术的发展,现代物流作为“第三个利润源泉”正受到日益广泛的重视,并面临前所未有的发展机遇。我国农产品物流发展相对落后,如何在满足消费者日益多变的需求的同时,为企业带来利润,引起了广大决策者和研究者的兴趣。在现代物流中,配送是一个与消费者直接相连的重要环节,其体现了企业的核心竞争力。而配送中心选址、配送路径优化和库存优化是配送系统优化中的重要内容,通过对各个环节的优化,有利于提高农产品物流管理水平和运作效率,降低配送成本,增强农产品物流的综合竞争力,为生产实践提供决策理论依据。
     研究了我国传统的生鲜农产品物流配送模式及国外的主要配送模式,在现有流通模式的基础上,提出了适合我国国情的生鲜农产品配送模式;根据配送中心选址的原则和主要影响因素等,以节省企业各项运营成本和最小投资费用为目标,建立多个配送中心选址问题的数学模型;以生鲜农产品配送过程中的时间和车辆载重量为约束条件,建立了运输成本最小为目标的生鲜农产品配送路径优化模型;分析了合理库存的重要性,从满足消费的需求出发,对配送中心的库存进行设计计算,以保证库存的合理性、经济性和最优性为目标,建立了库存控制优化模型。从系统化思想出发,将配送系统中心选址、运输与库存三大问题进行整合,同时考虑中心选址固定投资费用、运输费用和库存费用的综合成本最低为目标函数,建立了生鲜农产品配送系统选址-库存联合优化模型。
     对配送中心选址模型和配送路径优化模型的求解,采用蚁群算法,运用VC和Java编写相应的求解程序;对库存控制优化模型的求解,采用遗传算法,运用VB编写相应的求解程序。对配送系统的动态仿真进行了理论分析、系统设计,开发了生鲜农产品配送系统的动态仿真系统。最后,以福建冷藏物流企业为例,对配送系统进行了初步应用分析,表明动态仿真系统有助于提高生鲜农产品物流配送系统管理决策水平,提高系统运作效率,降低配送成本。
With the development of the information technology, logistics, known as " a resource of the third profit" is calling for a broad attention and confronting with unprecedented development opportunities. Confessedly, fresh agricultural products logistics in China is relatively underdeveloped. The goal to meet the gradually changing demands of customers thus bring the enterprises with potential profits have attracted the many decision-makers and researcher. In modern logistics, distribution directly associates with customers which make it so significant as to reveal the core competition of enterprises. The location of distribution centers, selection of distribution routes and inventory control are playing important roles in the optimization of a distribution system. It is beneficial to improve both logistics management level and operating efficiency of fresh agricultural products through the optimization of each part. Therefore, the cost of distribution can be reduced, the integrated competitiveness of fresh agricultural products logistics can be enforced and theories for reference are available to the strategy process of production practice.
     The traditional distribution modes of fresh agricultural products as well as the main distribution patterns abroad were discussed and one that is suitable to the real situation of China is advanced on the basis of those existed modes. According to the principles of centers location and main influencing factors, mathematics models dealing with the location of multi distribution centers were established targeted on the minimum operating and investing costs of the enterprises. Given the restrictions of time and load capacity of vehicles during the distribution process, optimization model of distribution routes was set up aiming at the minimum transportation costs. The importance of a proper inventory was analyzed and customers demands were considered within warehouses design the distribution centers. The optimization models of inventory control were built as well to guarantee its rational, economical and best-performance objective. The location of distribution centers, transportation, and inventory were integrated systematically. Optimization models that unite both location and inventory problems in a distribution system were established considering costs of regular investments, transportation and inventory as well as their minimum costs in sum during the distribution process.
     Ant Colony algorithm was applied to solve the mathematics models of centers location and routes optimization problems. Visual C++ and Java were used to program. As for solutions to the inventory control models, Genetic algorithm was adopted and Visual Basics was picked up to program. Under a theoretical analysis and systematical design of the dynamic simulation for the distribution system, a dynamic simulation system of fresh agricultural products distribution system was developed. At last, a application analysis of the distribution centers was done taking Fujian Lengcang Logistics company as cases studies. The application result shows that the management and decision-making levels of a distribution system are improved and consequently its operating efficiency is increased and its distribution cost is reduced.
引文
[1]丁俊发.企业物流管理[J].中国合作经济,2004,01:47.
    [2]刘志强,丁鹏,盛焕烨.物流配送系统设计[M].清华大学出版社,2004:26-27.
    [3]侯茂章,夏金华.重视和发展我国农产品物流[J].农业经济,2004,(7):25-27.
    [4]万寿桥,高巍.改善农产品物流[J].中国商人,2004,(4):48-50.
    [5]张连富.物流学[M].北京:人民交通出版社,2005.82-85.
    [6]韩美贵,张兆同.改善和发展我国农产品物流的思考[J].农村经济,2005,(2):21-23.
    [7]刘飞翔,李忠海,郭洁,等,对生鲜农产品自营物流模式的分析--以福建永辉集团为例[J].台湾农业探索,2006,(4):59-61.
    [8]丁华.SCM在农产品物流开展中的应用[J].中国流通经济,2004,(1):17-22.
    [9]Edward Bardi John Langley.企业物流管理--供应链视角(第七版)[J].电子工业出版社,2003,9:32.
    [10]国家统计局,中国统计年鉴[M],北京:中国国家统计局,2006.
    [11]陆化普.智能运输系统[M].北京:人民交通出版社,2002,(03):20.
    [12]夏文汇.水果市场流通状况[J].农村经济,2003,(7):5-7.
    [13]谢新港,石礼娟.电子商务在农产品物流中的应用现状及对策探讨[J].农机化研究2006(1):53-54.
    [14]张倩.国外农产品物流现状[J].世界农业,2004,(307):11-13.
    [15]吴翠娥.中国农产品物流业发展情况[J].江苏农村经济,2003,10:12.
    [16]孙新,万忠,曹阳,等.构建农产品物流加工产业平台--“新江高模式”的探讨广东农业科学[J].2007,(10):98-100.
    [17]范丽芳,江浩斌,陈昆山.基于模糊层次分析法的配送中心选址研究[J].交通运输系统工程与信息,2006,6(1):107-110.
    [18]李旭宏,程日盛,张永,等.基于模糊品质机能法的第三方物流配送中心选址方法研究[J].交通与计算机,2006,24(4):44-47.
    [19]李颖,谢红宾.基于GIS的启发式物流配送中心选址方法的研究[J].物流科技,2006,29(128):53-56.
    [20]Petrovic Dobrila.Simulation of Supply chain behavior and performance in an uncertain environment[C].Int.J.Production Economics,2001,(71):429-438.
    [21]王晓博,李一军,电子商务环境下物流配送中心选址模型与评价方法[J].系统工程理论方法应用,2006,15(3):199-204.
    [22]聂规划;刘爱君,电子商务环境下的物流配送中心选址模型[J].价值工程,2006(9):87-89.
    [23]王非,徐渝.物流配送中心选址研究[J].物流技术,2006(6):35-37.
    [24]屈波,杨超,张敏,等.鲜活农产品配送中心设立的成本效益均衡模型[J].武汉理工大学学报,2006,28(4):121-125.
    [25]董媛媛,陶绪林,周晶.带回程的车辆运输路径优化及定价模型[J].现代交通技术,2006,(4):42-45.
    [26]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):70-73.
    [27]THANGIAH S,N YGARD K,JUELL P G.A genetic algorithm system for vehicle routing with time window[A].Proceedings of the Seventh Conference on Artificial Intelligence Applications[C].Florida,USA:Morgan Koufmann Publishers,1991,322-325.
    [28]JOE L,ROGER L.Multiple vehicle routing with time and capacity constrains using genetic algorithms[A].Proceedings of the Fifth International Conference on Genetic Algorithms[C].Florida,USA:AAAI,1993.452-459.
    [29]JOE L,ROGER L.Multiple vehicle routing with time and capacity constrains using genetic algorithms[A].Proceedings of the Fifth International Conference on Genetic Algorithms[C].Florida,USA:AAAI,1993.452-459.
    [30]李嘉,王梦光,唐立新,等.一类特殊的车辆路径问题(VRP)[J].东北大学学报(自然科学版),2001,22(3):245.
    [31]WHITIN T M.Theory of Inventory Management[M].Princeton:Princeton University Press,1957.
    [32]GHARE P N,SCHRADER G F.A model for exponentially decaying inventories[J].Journal of Industrial Engineering,1963(15):238.
    [33]Dave U.Patel L K.(TSi)Policy Inventory Model For deteriorating items with time proportional demand[J].J.Opt.Res.Soc.,1981,(32):137-142.
    [34]Roychowdhury M Chaudhuri K S.Anorder-level inventory model for deteriorating items with finiterateofreplenishment[J].Opsearch,1983,(20):99-106.
    [35]Petrovic Dobrila.Simulation of Supply chain behavior and performance in an uncertain environment[C].Int.J.Production Economics,2001,71:429-438.
    [36]庞胜明,魏 朗,周平.基于Weibull分布的时效性农产品物流库存模型[J].长安大学学报(社会科学版),2006,8(3):33-36.
    [37]刘宝学,王臣,胡文亮,等.GIS物流管理住处系统的构建[J].河北企业,2006(4):19-20.
    [38]李艳霞,赵庆祯.农业物流管理信息系统研究[J].农业系统科学与综合研究,2006,22(3):205-208.
    [39]陈淑祥.简论我国农产品物流发展[J].中国经贸导刊,2006,(2):40-41.
    [40]郭宝林,杨俊霞.生鲜农产品营销[M].北京:中国林业出版社.2000,85-86.
    [41]黄学群.国内外农产品加工业和技术发展现状及对策[J].天津农业科学,1994,(2):19-22.
    [42]何开伦.重庆市农产品物流配送的发展现状及对策[J],重庆工学院学报,2007,21(7):65-69.
    [43]刘娜翠,木材物流系统优化研究[D].福建:福建农林大学,2006.
    [44]赵利安,张迎新.我国食品供应链的销售物流研究[J].物流技术,2006,(3):160-162.
    [45]曾 剑,王景锋,邹敏.福建产品与服务大全[M].北京:中国统计出版社,2003,24.
    [46]夏金华.福建经济社会发展与预测蓝皮书[M].福建:福建人民出版社,2005,297-299.
    [47]喻晓燕,黄立平.供应链环境下农产品物流运作模式研究[J].上海商学院报,2005,6(1):34-37.
    [48]刘文杰,韦恒.国外农产品物流的经验及启示[J].中国科技信息,2005,(24):87-94.
    [49]侯淑霞.我国物流业现状和经营战略选择[J].内蒙古财经学院学报,2005,(1):67-69.
    [50]王平.安徽省依托电子商务发展农产品物流的模式分析[J].安徽农学通报,2006,12(10):23-24.
    [51]贾会棉,路剑.我国农产品物流发展中的问题及建议[J].中国经贸导刊,2006,(2):40.
    [52]何静,程钧谟,宗传宏.我国食品冷链物流发展现状及对策研究[J].商场现代化,2006(466): 1-2.
    [53]李军军,王锡淮,黄有方,等.基于混合微粒群优化算法的配送中心选址问题求解[J].物流科技,2006,29(132):26-30.
    [54]马永刚,刘雅丽,张莉莉.配送中心选址的多目标决策[J].商务论坛,2005,(11):46-47.
    [55]李颖,谢红宾.基于GIS的启发式物流配送中心选址方法的研究[J].物流科技,2006,29(128):53-56.
    [56]甘信华,顾晓军.基于物流能力优化的配送中心选址问题研究[J].包装工程2006,27(4):159-162.
    [57]魏光兴.物流配送中心选址的一个离散模型研究[J].重庆交通学院报.2006,25(4):124-128.
    [58]秦立公,王兴中,丁庆.物流项目管理[M].中国时代经济出版社,2006:295-296.
    [59]郝彩霞,王力.基于层次结构的物流配送优化调度模型[J].计算机工程与应用,2004(16):223-226.
    [60]谢秉磊,李军,郭耀煌.有时间窗的非满载车辆调度问题的遗传算法[J].系统工程学报,2000,(03):35-38.
    [61]李军,谢秉磊,郭耀煌.非满载车辆调度问题的遗传算法[J].系统工程理论方法应用,2000,(03):20-25.
    [62]李军,郭耀煌.物流配送车辆优化调度理论与方法[M].北京:中国物资出版社,2001,1-2.
    [63]熊盛武,方志祥.遗传算法在地理信息系统领域中的几个应用[J].测绘通报,2002,(1):47-49.
    [64]谢秉磊,李军,刘建新.有时间约束旅行商问题的启发式遗传算法[J].西南交通大学学报,2001,36(2):211-213.
    [65]刘东英,李建平.发展生鲜农产品现代物流的战略选择[J].中国流通经济,2005(5):15-18.
    [66]杨超.运筹学[M].北京:科技出版社,2004,25-30.
    [67]曾剑,王景锋,邹敏.物流基础[M].北京:机械工业出版社,2003,59.
    [68]周永务,杨善林.可变的订货费用情形下变质性物品的经济批量问题[J].系统工程与电子技术,2000,22(12):36-40.
    [69]励凌峰,黄培清,络建文.易腐物品的库存管理研究[J].系统工程,2004,22(3):25-30.
    [70]郑惠莉,达庆利.一种需求和采购价均为时变的EOQ模型[J].中国管理科学,2003,11(5):26-30.
    [71]Abdelwahab W,Sargious M.Freightrate structure and optimal shipment size in freight transportation Logistics[J].Transportation Rev.,1990,6(3):271-292.
    [72]Yano C,Gerchak Y.Transportation contracts and safety stocks for just-in-time deliveries[J].Manufacturing Oper.Management,1989,(2):314-330.
    [73]Axsater S.A note on stock replenishment and shipment scheduling for vendor-managed inventory system[J].Management Sci,2001,47(9):1306-1310.
    [74]吕大昭.易腐库存中提前时间内的两种需求分布[J],西安工业学院学报,2003,23(2):159-165.
    [75]罗兵,杨帅,李宇雨.变质物品在存货影响销售率且需求和采购价均为时变时的EOQ 模型[J].工业工程与管理,2005,30(4):40-43.
    [76]马振华.现代应用数学手册运筹学与最优化理论卷[M].北京:清华大学出版社,2004.85-87.
    [77]毛晓丽.随机提前时间缺货部分补充的存储模型[J].华中科技大学学报,2002,30(1):103-105.
    [78]KAPUR J N,KESAVAN H K.Entropy optimization principle with application[M].Boston:Academic Press,1992.67.
    [79]李兴斯.解非线性规划的一个可微“准”精确惩罚函数法[J],科学通报,1991,36(19):1451.
    [80]RAVINDRAN A,PHILLIPS D T,SOLBERG J J.Operation research:principle and practice [M].New York:Wiley,1987,363.
    [81]田俊峰,杨梅.缺货补偿条件下的生产规划模型及算法[J].系统工程,2004,22(10):16-19.
    [82]王庆金,吴泅宗.价格折扣和运输折扣下供应链库存--运输优化模型[J].信息与控制,2005,34(3):335-339.
    [83]黄欣,周永务.基于两种订购方式上的定期补给库存模型[J].合肥工业大学学报(自然科学版,2005,28(8):839-844.
    [84]余峰,齐欢,代建民.基于HLA的物流配送系统仿真[J].计算机与数字工程,2005,(33)4:41-44.
    [85]唐孝飞.第三方物流配送仿真系统的研究[J].系统仿真学报,2002,14(1):43-46.
    [86]Dorigo M,Maniezzo V,Colomi A Ant System:Optimization by a Colony of Cooperating Agents[J].IEEE Transon System,Man,and Cybernetics,1996,26(1):29-41.
    [87]John E.Bell,Patrick R.McMullen.Ant colony optimization techniques for the vehicle routing problem[J].Advanced Engineering Informatics,2004,(18):41-48.
    [88]Silvia Mazzeo,Irene Loiseau.An ant colony algorithm for the capacitated vehicle routing[J].Electronic Notes in Discrete Mathematics 2004,(18):181-186.
    [89]刘志勋,申金升,柴跃廷.基于自适应蚁群算法的车辆路径问题研究[J].控制与决策,2005,20(5):562-566.
    [90]胡卉,申金升,纪寿文.关于蚂蚁算法解决物流配送路径优化问题的探讨[J].物流技术,2006,(7):120-123.
    [91]叶仲泉,王书勤,黄茜.基于带时间窗的车辆路径问题的蚁群算法[J].重庆工学院学报(自然科学版),2007,21(6):50-52.
    [92]段海滨,王道波,朱家强,等.蚁群算法理论及应用研究的进展[J].控制与决策,2004,19(12):1321-1340.
    [93]段海滨,王道波.一种快速全局优化的改进蚁群算法及仿真[J].信息与控制,2004,33(2):241-244.
    [94]李继玲.蚁群算法在物流运输车辆优化调度中的应用研究[D].西安:建筑科技大学,2005.
    [95]唐连生,程文明,张则强,等.基于改进蚁群算法的车辆路径仿真研究[J].系统工程,2005,23(10):17-19.
    [96]陈烨.用于连续函数优化的蚁群算法[J].四川大学学报(工程科学版).2004,36(6):117-121.
    [97]汪镭,吴启迪.蚁群算法在连续空间寻优问题求解中的应用[J].控制与决策,2003,18(1):45-48.
    [98]高尚,钟娟,莫述军.连续优化问题的蚁群算法研究[J].微机发展,2003,13(1):21-22.
    [99]魏平,熊伟清.用于一般函数优化的蚁群算法[J].宁波大学学报(理工版),2001,14(4):52-55.
    [100]沈垚.基于改进蚁群算法的配送路线优化研究[D].南京:东南大学,2006.
    [101]段海滨.蚁群算法原理及其应用[M].北京:科学社会出版社,2005:24-42.
    [102]万旭,林健良,杨晓伟.改进的最大.最小蚂蚁算法在有时间窗车辆路径问题中的应用[J].计算机集成制造系统,2005,11(4):572-576.
    [103]李延晖,马士华,刘黎明.基于时间约束的配送系统模型及一种启发式算法[J].系统工程,2003,(04):5-9.
    [104]潘立登,黄晓峰.用启发式贪心法求解旅行商问题[J].北京化工大学学报,1998,25(2):46-49.
    [105]雷英杰,张善文,李续武,等.MATLAB遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2005.
    [106]卢厚清,吴值民,吴凤丽.多随机因素下多品种库存优化的改进遗传算法[J].解放军理工大学学报,2006,7(2):166-169.
    [107]姜昌华,戴树贵,胡幼华.基于遗传算法的随机性库存系统仿真优化[J].计算机应用,2006,26(1):184-187.
    [108]王小平,曹立明.遗传算法-理论应用与软件实现[M].西安:西安交通大学出版社,2002.
    [109]鲁刚,李伯全.基于VB的遗传算法软件实现及其应用[J].计算机与现代化,2002,83(7):1-4.
    [110]张翔.优化设计方法及编程[M].北京:中国农业大学出版社,2001.122-125.
    [111]纪寿文,缪立新,李克强,等.货运车辆优化调度方法[J].公路交通科技,2003,20(6):109-112.
    [112]GOLDBERGD E.Optimal Initial Population Size for Binary-Coded Genetic Algorithms [M].TCGA Report,University of Alabama,1995.
    [113]李大卫,王莉.遗传算法最优群体规模的研究[J].智能控制与自动化研讨会,2002,(4):3019-3021.
    [114]芦玉梅,姜伟.变长度可重复自然数编码的混合算法在模具异地制造调度中的应用[J].机械设计与制造,2006,(11):147-149.
    [115]叶志伟,郑肇葆.蚁群算法中参数α、β、ρ设置的研究[J].武汉大学学报(信息科学版),2004,29(7):597-601.

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