模糊完工时间和交货期下的制造型虚拟企业伙伴选择研究
|
摘要
虚拟企业是由一些自治的、地理上可能分散的企业为共享伙伴之间的核心资源或能力而组成的一个临时性的企业联盟。选择合适的合作伙伴是组建虚拟企业的关键环节，直接关系到虚拟企业的成败。论文对模糊完工时间和交货期下制造型虚拟企业伙伴选择的过程模型、伙伴选择的数学模型、伙伴选择的优化算法、伙伴选择的群决策算法、伙伴选择服务平台等问题进行了研究。
在伙伴选择的过程模型方面，论文提出了包含虚拟企业项目确定、项目分解、初选与组合优化的伙伴选择四阶段模型，运用Petri网对伙伴选择的过程进行了动态建模，并对网模型的可达性、有界性和活性进行了分析。
在伙伴选择的数学模型与优化算法方面，论文首先引入模糊数学理论来描述候选伙伴的完工时间和交货期的不确定性，然后对客户满意度的概念进行了定义，最后分两种情况研究了伙伴选择的数学模型及优化算法：一是针对相关任务对间的满意度最多只有一个等于零的情况，建立了基于满意度的伙伴选择模型，该模型以极大化最小客户满意度、极大化平均客户满意度和极小化完工成本为优化目标，并设计了一种自适应遗传算法进行问题求解；二是针对相关任务对间的满意度有多个等于零的情况，给出了基于直觉模糊集的满足度的定义，建立了基于直觉模糊集的伙伴选择模型，该模型以极大化交货期满足度、极大化平均交货期满足度和极大化成本满足度为优化目标，并设计了问题求解的一种改进混沌粒子群优化算法。
在伙伴选择的群决策算法方面，论文分别提出了基于满意度模型和基于直觉模糊集模型的伙伴选择的群决策三阶段算法：阶段一，根据每个专家关于各个目标的不同权重信息，分别按照相应的伙伴选择模型，进行多次单人多目标决策，得到多个单人多目标的伙伴组合方案；阶段二，构建多人决策群体综合评价矩阵，继而得到各专家对每个候选方案的排序矩阵；阶段三，运用Borda函数对各候选方案计分，分数最高的方案为群决策最优方案。
论文构建了基于ASP模式的制造型虚拟企业伙伴选择服务平台，基于J2EE技术对平台的物理结构和体系结构进行了设计，并开发了该平台的原型系统。
A virtual enterprise is a temporary alliance of autonomous, and possiblygeographically dispersed enterprises that share the core resources or competenciesamong partners. Partner selection is a major issue in the formation of a virtualenterprise, it is directly related to the success of virtual enterprise. With fuzzycompletion time and fuzzy due date, partner selection in a manufacturing virtualenterprise is studied in this dissertation, including partner selection process model,partner selection mathematical model and optimization algorithm, groupdecision-making algorithm, partner selection service platform.
On the side of partner selection process model, this dissertation presents afour-phase partner selection model including project identification, projectdecomposition, preliminary selection and combinatorial optimization. Then Petri-netis used to build the dynamic model of partner selection process, and the reachability,boundness and liveness of the dynamic model are analyzed.
On the side of partner selection mathematical model and optimization algorithm,this dissertation firstly introduces fuzzy sets theory to describe the completion timeand due date of the candidates, and then defines the concept of customer satisfactiondegree. Finally, dissertation studies partner selection mathematical model andoptimization algorithm in terms of two kinds of situations. When there is only one atmost customer satisfaction degree between correlative task pair equal to zero,dissertation builds the satisfaction degree-based mathematical model, the objectivesof the model are to maximize the minimum customer satisfaction degree, the averagecustomer satisfaction degree and minimize the cost. Then, an adaptive geneticalgorithm is proposed to solve the formulated problem. When there are severalcustomer satisfaction degree between correlative task pair equal to zero, dissertationdefines the concept of satisfiability degree based on intuitionistic fuzzy sets, thenbuilds the intuitionistic fuzzy sets-based mathematical model, the objectives of the model are to maximize the due date satisfiability degree, the average due datesatisfiability degree and the cost satisfiability degree. Finally, an improved chaosparticle swarm optimization algorithm is proposed to solve the formulated problem.
On the side of partner selection group decision-making algorithm, this dissertationpresents a three-phase algorithm for satisfaction degree-based mathematical modeland intuitionistic fuzzy sets-based mathematical model, respectively. Phase1,according to different weight given by each expert, single person multi-objectivedecision-making can be carried out for several times in terms of the satisfactiondegree-based mathematical model and intuitionistic fuzzy sets-based mathematicalmodel, respectively. So, we can obtain several combinations of partners. Phase2,multi-person decision-making evaluation matrix is constructed, and then, we can getthe sort matrix of the combination given by each expert. Phase3, the partnercombination is scored by using Borda function. The larger the score is, the better thepartner combination is. Thus, we can achieve the optimal combination of partnersbased on group decision-making.
An ASP model-based manufacturing virtual enterprise partner selection serviceplatform is built, and the physical structure and system structure of the platform aredesigned based on J2EE. Furthermore, a prototype system of the platform isdeveloped.
在伙伴选择的过程模型方面，论文提出了包含虚拟企业项目确定、项目分解、初选与组合优化的伙伴选择四阶段模型，运用Petri网对伙伴选择的过程进行了动态建模，并对网模型的可达性、有界性和活性进行了分析。
在伙伴选择的数学模型与优化算法方面，论文首先引入模糊数学理论来描述候选伙伴的完工时间和交货期的不确定性，然后对客户满意度的概念进行了定义，最后分两种情况研究了伙伴选择的数学模型及优化算法：一是针对相关任务对间的满意度最多只有一个等于零的情况，建立了基于满意度的伙伴选择模型，该模型以极大化最小客户满意度、极大化平均客户满意度和极小化完工成本为优化目标，并设计了一种自适应遗传算法进行问题求解；二是针对相关任务对间的满意度有多个等于零的情况，给出了基于直觉模糊集的满足度的定义，建立了基于直觉模糊集的伙伴选择模型，该模型以极大化交货期满足度、极大化平均交货期满足度和极大化成本满足度为优化目标，并设计了问题求解的一种改进混沌粒子群优化算法。
在伙伴选择的群决策算法方面，论文分别提出了基于满意度模型和基于直觉模糊集模型的伙伴选择的群决策三阶段算法：阶段一，根据每个专家关于各个目标的不同权重信息，分别按照相应的伙伴选择模型，进行多次单人多目标决策，得到多个单人多目标的伙伴组合方案；阶段二，构建多人决策群体综合评价矩阵，继而得到各专家对每个候选方案的排序矩阵；阶段三，运用Borda函数对各候选方案计分，分数最高的方案为群决策最优方案。
论文构建了基于ASP模式的制造型虚拟企业伙伴选择服务平台，基于J2EE技术对平台的物理结构和体系结构进行了设计，并开发了该平台的原型系统。
A virtual enterprise is a temporary alliance of autonomous, and possiblygeographically dispersed enterprises that share the core resources or competenciesamong partners. Partner selection is a major issue in the formation of a virtualenterprise, it is directly related to the success of virtual enterprise. With fuzzycompletion time and fuzzy due date, partner selection in a manufacturing virtualenterprise is studied in this dissertation, including partner selection process model,partner selection mathematical model and optimization algorithm, groupdecision-making algorithm, partner selection service platform.
On the side of partner selection process model, this dissertation presents afour-phase partner selection model including project identification, projectdecomposition, preliminary selection and combinatorial optimization. Then Petri-netis used to build the dynamic model of partner selection process, and the reachability,boundness and liveness of the dynamic model are analyzed.
On the side of partner selection mathematical model and optimization algorithm,this dissertation firstly introduces fuzzy sets theory to describe the completion timeand due date of the candidates, and then defines the concept of customer satisfactiondegree. Finally, dissertation studies partner selection mathematical model andoptimization algorithm in terms of two kinds of situations. When there is only one atmost customer satisfaction degree between correlative task pair equal to zero,dissertation builds the satisfaction degree-based mathematical model, the objectivesof the model are to maximize the minimum customer satisfaction degree, the averagecustomer satisfaction degree and minimize the cost. Then, an adaptive geneticalgorithm is proposed to solve the formulated problem. When there are severalcustomer satisfaction degree between correlative task pair equal to zero, dissertationdefines the concept of satisfiability degree based on intuitionistic fuzzy sets, thenbuilds the intuitionistic fuzzy sets-based mathematical model, the objectives of the model are to maximize the due date satisfiability degree, the average due datesatisfiability degree and the cost satisfiability degree. Finally, an improved chaosparticle swarm optimization algorithm is proposed to solve the formulated problem.
On the side of partner selection group decision-making algorithm, this dissertationpresents a three-phase algorithm for satisfaction degree-based mathematical modeland intuitionistic fuzzy sets-based mathematical model, respectively. Phase1,according to different weight given by each expert, single person multi-objectivedecision-making can be carried out for several times in terms of the satisfactiondegree-based mathematical model and intuitionistic fuzzy sets-based mathematicalmodel, respectively. So, we can obtain several combinations of partners. Phase2,multi-person decision-making evaluation matrix is constructed, and then, we can getthe sort matrix of the combination given by each expert. Phase3, the partnercombination is scored by using Borda function. The larger the score is, the better thepartner combination is. Thus, we can achieve the optimal combination of partnersbased on group decision-making.
An ASP model-based manufacturing virtual enterprise partner selection serviceplatform is built, and the physical structure and system structure of the platform aredesigned based on J2EE. Furthermore, a prototype system of the platform isdeveloped.
引文
[1]路甬祥.21世纪中国制造业面临的挑战与机遇.机械工程师,2005,(1):9-13.
[2]陈剑，冯蔚东.虚拟企业构建与管理.北京：清华大学出版社,2002.
[3]仲智刚.敏捷供应链中若干关键技术问题研究：[博士学位论文].杭州：浙江大学,2001.
[4] Preiss K, Goldman S L, Nagel R N.21stCentury Manufacturing Enterprise Strategy: AnIndustry—Led View. Iacocca Institute, Lehigh University,1991.
[5]汪定伟.敏捷制造的ERP及其决策优化.北京：机械工业出版社,2003.
[6]齐二石，毛照昉，霍艳芳，等.虚拟企业发展研究综述.制造技术与机床,2004,(9):37-41.
[7] Davidow W H, Malone M S. The virtual corporation: structuring and revitalizing thecorporation for the21th century. New York:Harper Collins Publisher,1992.
[8] Byrne J A. The virtual corporation. Business Week,1993,2(8):36-41.
[9] Goldman S L, Nagel R N, Preiss K. Agile competitors and virtual organizations－strategies for enriching the customer. New York:Van Nostrand Reinhold,1994.
[10] Dove R.敏捷企业(上).中国机械工程,1996,7(3):22-27.
[11]陈菊红，汪应洛，孙林岩.虚拟企业——跨世纪企业的崭新组织形式.管理工程学报,2000,14(2):62-64.
[12]赵春明.虚拟企业.杭州：浙江人民出版社,1999.
[13]刘永和，黄必清，刘文煌，等.虚拟企业集成模型的形式化方法.清华大学学报(自然科学版),2000,40(4):84-87.
[14]李未，陈禹六，李清.基于统一建模语言的虚拟企业信息系统设计方法.计算机集成制造系统-CIMS,2000,6(6):46-51.
[15]刘志，高济.支持虚拟企业的过程建模和工作流管理系统.计算机辅助设计与图形学学报,2001,13(10):952-960.
[16]赵博，范玉顺.网络化制造环境下的动态企业建模.机械工程学报,2002,38(6):31-35.
[17]张大勇，徐晓飞，王刚.面向敏捷虚拟企业的模型重用过程与方法研究.计算机集成制造系统-CIMS,2004,10(1):23-29.
[18]王爱民，范莉娅，肖田元，等.面向制造网格的应用平台及虚拟企业建模研究.机械工程学报,2005,41(2):180-185.
[19] Presley A, Sarkis J, Barnett W, et al. Engineering the virtual enterprise: anarchitecture-driven modeling approach. International Journal of Flexible ManufacturingSystems,2001,13(2):145-162.
[20] Perrin O, Godart C. A model to support collaborative work in virtual enterprises. Data&Knowledge Engineering,2004,50(1):63-86.
[21] Deng H, Chen L, Wang C T, et al. A grid-based scheduling system of manufacturingresources for a virtual enterprise. International Journal of Advanced ManufacturingTechnology,2006,28(1):137-141.
[22]李瑜，黄必清，吴澄.虚拟企业信息管理系统.高技术通讯,2000,10(9):69-73.
[23]张和明，黄红星，李银胜，等.协同设计环境下的虚拟企业信息系统.高技术通讯,2001,11(1):56-60.
[24]田世海，高长元.基于Web Services的高技术虚拟企业信息集成.中国软科学,2006,(6):150-155.
[25]马鹏举，陈剑虹，卢秉恒，等.支持动态联盟的制造资源信息建模.中国机械工程,2000,11(7):780-782.
[26] Talluri S, Baker R C. A quantitative framework for designing efficient business processalliance. Proceedings of1996International Conference on Engineering and TechnologyManagement. Piscataway, NJ: IEEE Service Center,1996:656-661.
[27] Gunasekaran A. Agile manufacturing: enablers and an implementation framework.International Journal of Production Research,1998,36(5):1223-1247.
[28] Maloni M J, Benton W C. Supply chain partnership: opportunities for operations research.European Journal of Operational Research,1997,101(3):419-429.
[29] Zeng Z B, Li Y, Zhu W X. Partner selection with a due date constraint in virtualenterprises. Applied Mathematics and Computation,2006,175(2):1353-1365
[30] Johnson M, Meade L, Rogers J. Partner selection in the agile environment. Proceedings of4th Annual Agility Forum Conference. Atlanta, GA: ARRI,1995:496-505.
[31] Samadhi T M A A, Hoang K. Partners selection in a shared-CIM system. InternationalJournal of Computer Integrated Manufacturing,1998,11(2):173-182.
[32] Ho J K L, Fung R, Chu L, et al. A multimedia communication framework for selection ofcollaborative partners in global manufacturing. International Journal of ComputerIntegrated Manufacturing,2000,13(3):273-283.
[33] Lau H C W, Wong E T T. Partner selection and information infrastructure of a virtualenterprise network. International Journal of Computer Integrated Manufacturing,2001,14(2):186-193.
[34]马永军，蔡鹤皋，张曙.网络联盟企业中的设计伙伴选择方法.机械工程学报,2000,36(1):15-19.
[35]郑文军，张旭梅，刘飞，等.虚拟企业合作伙伴评价体系及优化决策.计算机集成制造系统,2000,6(5):63-67.
[36]韩江洪，王梅芳，马学森，等.基于自适应遗传算法的虚拟企业伙伴选择求解.计算机集成制造系统-CIMS,2008,14(1):118-123.
[37] Mikhailov L. Fuzzy analytical approach to partnership selection in formation of virtualenterprises. Omega,2002,30(5):393-401.
[38] Cao J, Ye F, Zhou G G, et al. A new method for VE partner selection and evaluation basedon AHP and fuzzy theory. Proceedings of the8th International Conference on ComputerSupported Cooperative Work in Design. Piscataway, NJ: IEEE Service Center,2003:563-566.
[39] Wang T C, Chen Y H. Applying consistent fuzzy preference relations to partnershipselection. Omega,2007,35(4):384-388.
[40]马鹏举，朱东波，丁玉成，等.基于模糊层次分析法(F-AHP)的盟员优化选择算法.西安交通大学学报,1999,33(7):108-110.
[41]王丹，杨桥春，王国仁，等.基于模糊层次分析法实现虚拟企业中的伙伴选择.东北大学学报(自然科学版),2000,21(6):606-609.
[42]王宛山，巩亚东，赵志宏.网络联盟企业合作伙伴选择过程的计算机辅助决策研究.数字制造科学,2003,1(1-4):179-201.
[43]李凌丰，谭建荣，赵海霞.基于AHP模糊优先权的虚拟企业伙伴选择方法.系统工程理论与实践,2004,24(12):1-7.
[44]曹柬，周根贵.一种新的敏捷虚拟企业合作伙伴选择与评价方法.中国机械工程,2004,15(22):2010-2013,2017.
[45]陆金伟，达庆利， Sweha S.一种选择虚拟企业伙伴的框架.管理工程学报,2000,14(4):19-21.
[46]卢纪华，李艳.基于DEA/AHP的虚拟企业合作伙伴选择研究.东北大学学报(自然科学版),2008,29(11):1661-1664.
[47]吴宪华，张列平.动态联盟伙伴选择的决策方法及其战略评估模型的建立.系统工程,1998,16(6):38-43.
[48] Amid A, Ghodsypour S H, O’Brien C. Fuzzy multi-objective linear model for supplierselection in a supply chain. International Journal of Production Economics,2006,10(4):394-407.
[49] Humphrey P, Mclvor R, Chan F. Using casebased reasoning to evaluate supplierenvironmental management performance. Expert Systems with Applications,2003,25(2):141-153.
[50]李莉，薛劲松，朱云龙.虚拟企业伙伴选择中的多目标决策问题.计算机集成制造系统-CIMS,2002,8(2):91-94.
[51]王润孝，罗琦，朱名铨.虚拟企业伙伴选择的建模研究.机械工程学报,2002,38(10):28-30.
[52]廖貅武，唐焕文.动态联盟中伙伴选择的证据推理方法.计算机集成制造系统-CIMS,2003,9(1):57-62.
[53]王晓林，张云，卿兆波.虚拟企业环境下制造合作伙伴选择决策方法研究.中国机械工程,2007,18(6):1197-1200.
[54]柳玉鹏，李一军.基于决策者偏好信息的合作伙伴选择决策模型.系统工程与电子技术，2009,31(3):602-605,732.
[55]张以文，倪志伟，王力，等.支持扩展QoS约束的动态虚拟企业伙伴选择模型.中国机械工程,2010,21(20):2482-2487.
[56]李俊亭，杨睿娟，康晓兵，等.基于灰色关联的虚拟企业伙伴选择.数学的实践与认识,2005,35(6):67-75.
[57]陈桦，赵汝嘉，曹岩，等.基于灰色关联分析的虚拟企业伙伴选择系统.机械工程学报,2006,42(6):78-85.
[58]张成考，聂茂林，吴价宝.基于改进型灰色评价的虚拟企业合作伙伴选择.系统工程理论与实践,2007,27(11):54-61.
[59]钱碧波，潘晓弘，程耀东.敏捷虚拟企业合作伙伴选择评价体系研究.中国机械工程,2000,11(4):397-401.
[60]陈菊红，汪应洛，孙林岩.虚拟企业伙伴选择过程及方法研究.系统工程理论与实践,2001,21(7),48-53.
[61]何伟强.虚拟企业合作伙伴选择模型与方法研究：[博士学位论文].武汉：华中科技大学,2002.
[62]董文辉，巩亚东，王宛山.基于遗传算法的网络化制造伙伴选择与优化.东北大学学报(自然科学版),2005,26(5):474-477.
[63]刘金山，廖文和，郭宇.基于双链遗传算法的网络化制造资源优化配置.机械工程学报,2008,44(2):189-195.
[64]冯蔚东，陈剑，赵纯均.基于遗传算法的动态联盟伙伴选择过程及优化模型.清华大学学报(自然科学版),2000,40(10):120-124.
[65]钟诗胜，汤新民.基于多智能体和合同网的虚拟企业伙伴选择.计算机集成制造系统-CIMS,2004,10(9):1109-1113.
[66]李剑，景波，牛少彰，等.基于自适应遗传算法的企业动态联盟伙伴选择模型.通信学报,2009,30(8):78-83.
[67] Brucker P, Drexl A, Mohring R, et al. Resource-constrained project scheduling: Notation,classification, models, and methods. European Journal of Operational Research,1999,112(1):3-41.
[68] Wang D W, Ip W H, Yung K L. A heuristic genetic algorithm for subcontractor selection ina global manufacturing environment. IEEE Transactions on Systems Man and CyberneticsPart C—Applicatons and Reviews,2001,31(2):189-198.
[69] Ip W H, Huang M, Yung K L, et al. Genetic algorithm solution for a risk-based partnerselection problem in a virtual enterprise. Computers&Operations Research,2003,30(2):213-231.
[70] Ip W H, Yung K L, Wang D W. A branch and bound algorithm for sub-contractor selectionin agile manufacturing environment. International Journal of Production Economics,2004,87(2):195-205.
[71] Wu N Q, Su P. Selection of partners in virtual enterprise paradigm. Robotics andComputer-Integrated Manufacturing,2005,21(2):119-131.
[72] Zhao Q, Zhang X H, Xiao R B. Particle swarm optimization algorithm for partnerselection in virtual enterprise. Progress in Natural Science,2008,18(11):1445-1452.
[73]汪定伟，容启亮，叶伟雄.企业动态联盟中的伙伴挑选模型及其软计算方法.中国科学(E),2002,32(6):824-830.
[74]曹洪医，汪定伟.用GA求解动态联盟中伙伴选择的多目标优化模型.控制与决策,2002,17(3):274-277.
[75]尚耀华，万威武.基于图论的虚拟企业制造伙伴选择优化算法.系统工程学报,2006,21(4):375-380.
[76]苏平，伍乃骐，于兆勤，等.改进遗传算法在虚拟企业伙伴选择与优化中的应用.系统工程理论与实践,2006,26(12):85-92.
[77]姜康，曹文钢，于振华.基于遗传算法和模糊决策的大规模联盟伙伴选择方法研究.系统工程理论与实践,2007,27(1):169-174.
[78]程方启，叶飞帆，杨建国.生产负荷约束下虚拟企业合作伙伴选择.系统工程理论与实践,2008,28(9):117-121,151.
[79]卜艳萍，周伟，俞金寿.基于改进粒子群优化算法的虚拟企业伙伴选择.系统工程,2008,26(12):62-65.
[80]徐汉川，徐晓飞，何霆.考虑资源置信度的跨企业项目伙伴选择方法.计算机集成制造系统-CIMS,2010,16(7):1480-1486.
[81]陈静杰，王扶东，朱云龙，等.基于群决策的供应链伙伴选择与评价过程.控制与决策,2002,17(增刊):690-694,698.
[82]李帅，郭亚军，易平涛，等.基于模糊群决策的虚拟企业合作伙伴选择.东北大学学报(自然科学版),2004,25(3):295-298.
[83]刘电霆，周德俭.中小企业协同制造伙伴的AHP群决策优选方法.制造业自动化,2006,28(9):81-85.
[84]赵海兰，禹定臣.合作伙伴选择的多准则群决策算法.计算机工程与设计,2008,29(6):1522-1523,1554
[85]李武，赵慧.供应商选择的组合多属性群决策.计算机工程与应用,2008,44(9):239-241,244.
[86]李武，岳超源，陈阳.基于群体理想解的供应商选择多属性决策.华中科技大学学报(自然科学版),2008,36(10):45-47.
[87] Ye F, Li Y N. Group multi-attribute decision model to partner selection in the formation ofvirtual enterprise under incomplete information. Expert Systems with Applications,2009,36(5):9350-9357.
[88] Ye F. An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers forvirtual enterprise partner selection. Expert Systems with Applications,2010,37(10):7050-7055.
[89] Zhang D F, Zhang J L, Lai K K, et al. An novel approach to supplier selection based onvague sets group decision. Expert Systems with Applications,2009,36(5):9557-9563.
[90] Boran F E, Genc S, Kurt M, et al. A multi-criteria intuitionistic fuzzy group decisionmaking for supplier selection with TOPSIS method. Expert Systems with Applications,2009,36(8):11363-11368.
[91] Sanayei A, Mousavi S F, Yazdankhah A. Group decision making process for supplierselection with VIKOR under fuzzy environment. Expert Systems with Applications,2010,37(1):24-30.
[92]王万良，吴启迪.生产调度智能算法及其应用.北京：科学出版社,2007.
[93]石春生，方淑芬.关于组建动态联盟的探讨.决策借鉴,1999,(6):34-37.
[94]马士华，林勇，陈志祥.供应链管理.北京：机械工业出版社,2000.
[95]孙东川，叶飞.基于虚拟企业的合作伙伴选择系统研究.科学管理研究，2001,19(1):59-62.
[96]叶飞，孙东川，张红.面向虚拟企业合作伙伴选择的新过程框架结构研究.系统工程理论与实践,2003,23(11):88-94.
[97]刘书庆，董雅文.生产型虚拟企业制造合作伙伴选择模型研究.中国管理科学,2006,14(6):77-85.
[98]陈禹六，李清，张锋.经营过程重构(BPR)与系统集成.北京：清华大学出版社,2001.
[99]袁崇义. Petri网原理与应用.北京：电子工业出版社,2005.
[100]郭齐胜，董志明，李亮，等.系统建模与仿真(下册).北京：国防工业出版社,2007.
[101] Sakawa M, Mori T. An efficient genetic algorithm for job-shop scheduling problems withfuzzy processing time and fuzzy duedate. Computers&Industrial Engineering,1999,36(2):325-341.
[102] Sakawa M, Kubota R. Fuzzy programming for multiobjective job shop scheduling withfuzzy processing time and fuzzy duedate through genetic algorithms. European Journal ofOperational Research,2000,120(2):393-407.
[103] Zadeh L A. Fuzzy sets. Information and Control,1965,8:338-353.
[104]陈水利，李敬功，王向公.模糊集理论及其应用.北京：科学出版社,2005.
[105]李登峰.模糊多目标多人决策与对策.北京：国防工业出版社,2003.
[106]罗承忠.模糊集引论(上册).北京：北京师范大学出版社,1989.
[107] Tran L, Duckstein L. Comparison of fuzzy numbers using a fuzzy distance measure. FuzzySets and Systems,2002,130(3):331-341.
[108]卢冰原.模糊环境下的Flexible Job-shop调度问题的研究：[博士学位论文].合肥：中国科技大学,2006.
[109]李全龙，徐晓飞.动态联盟伙伴选择的一种自适应遗传算法.高技术通讯,2001,11(10):66-69.
[110]陈国良，王煦法，庄镇泉，等.遗传算法及其应用.北京：人民邮电出版社,2001.
[111]赵强，肖人彬.改进粒子群算法求解虚拟企业伙伴选择问题.工业工程与管理,2009,14(2):38-42.
[112]王小平，曹立明.遗传算法——理论、应用与软件实现.西安：西安交通大学出版社,2006.
[113]王凌.车间调度及其遗传算法.北京：清华大学出版社,2003.
[114]岳超源.决策理论与方法.北京：科学出版社,2003.
[115]玄光男，程润伟.遗传算法与工程优化.北京：清华大学出版社,2006.
[116]余文，李人厚.遗传算法对约束优化问题的研究综述.计算机科学,2002,29(6):98-101.
[117] Atanassov K T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20(1):87-96.
[118] Gau W L, Buehrer D J. Vague sets. IEEE Transactions on Systems, Man and Cybernetics,1993,23(2):610-614.
[119] Bustince H, Burillo P. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems,1996,79(3):403-405.
[120] Hong D H, Choi C H. Multicriteria fuzzy decision-making problems based on vague settheory. Fuzzy Sets and Systems,2000,114(1):103-113.
[121] Szmidt E, Kacprzyk J. Distances between intuitionistic fuzzy sets. Fuzzy Sets andSystems,2000,114(3):505-518.
[122] Xu Z S, Yager R R. Some geometric aggregation operators based on intuitionistic fuzzysets. International Journal of General Systems,2006,35(4):417-433.
[123] Chen S M, Tan J M. Handling multicriteria fuzzy decision-making problems based onvague set theory. Fuzzy Sets and Systems,1994,67(2):163-172.
[124] Xu Z S. Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems,2007,15(6):1179-1187.
[125] Kennedy J, Eberhart R C. Particle swarm optimization. Proceedings of IEEE InternationalConference on Neural Networks. Piscataway, NJ: IEEE Service Center,1995:1942-1948.
[126] Kennedy J. The particle swarm: social adaptation of knowledge. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,1997:303-308.
[127] Shi Y, Eberhart R C. A modified particle swarm optimizer. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,1998:69-73.
[128] Shi Y, Eberhart R C. Parameter selection in particle swarm optimization. Proceedings ofthe7th Annual Conference on Evolutionary Programming. New York: Springer-Verlag,1998:591-600.
[129]纪震，廖慧连，吴青华.粒子群算法及应用.北京：科学出版社,2009.
[130]高尚，杨静宇.群智能算法及其应用.北京：中国水利水电出版社,2006.
[131]刘虹.基于混沌、灰熵关联的微粒群算法改进及在机械优化中的应用：[博士学位论文].福州：福州大学,2009.
[132]沈艳，郭兵，古天祥.粒子群优化算法及其与遗传算法的比较.电子科技大学学报,2005,34(5):696-699.
[133]王凌，刘波.微粒群优化与调度算法.北京：清华大学出版社,2008.
[134] Shi Y, Eberhart R C. Fuzzy adaptive particle swarm optimization. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,2001:101-106.
[135] Clerc M, Kennedy J. The particle swarm: explosion, stability and convergence in amulti-dimensional complex space. IEEE Transactions on Evolution Computation,2002,6(1):58-73.
[136] Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarmoptimization. Proceedings of IEEE International Conference on Evolutionary Computation.Piscataway, NJ: IEEE Service Center,2000:84-88.
[137] He S, Wu Q H, Wen J Y, et al. A particle swarm optimizer with passive congregation.Biosystems,2004,78(1-3):135-147.
[138] Ratnaweera A, Halgamuge S K, Watson H C. Self-organizing hierarchical particle swarmoptimizer with time-varying acceleration coefficeents. IEEE Transactions on EvolutionComputation,2004,8(3):240-255.
[139] L vbjerg M, Rasmussen T K, Krink T. Hybrid particle swarm optimiser with breeding andsubpopulations. Proceedings of the3rdGenetic and Evolutionary Computation Conference,San Francisco, CA: Morgan Kaufmann Publishers Inc,2001:469-476.
[140] Van den Bergh F, Engelbrecht A P. A cooperative approach to particle swarm optimization.IEEE Transactions on Evolution Computation,2004,8(3):225-239.
[141] Rodriguez A, Reggia J A. Extending self-organizing particle systems to problem solving.Artificial Life,2004,10(4):379-395.
[142] Ciuprina G, Ioan D, Munteanu I. Use of intelligent-particle swarm optimization inelectromagnetics. IEEE Transactions on Magnetics,2002,38(2):1037-1040.
[143] Kennedy J, Mendes R. Population structure and particle swarm performance. Proceedingsof IEEE International Conference on Evolutionary Computation. Piscataway, NJ: IEEEService Center,2002:1671-1676.
[144] Suganthan P N. Particle swarm optimizer with neighborhood operator. Proceedings ofIEEE International Conference on Evolutionary Computation. Piscataway, NJ: IEEEService Center,1999:1958-1961.
[145] Katare S, Kalos A, West D. A hybrid swarm optimizer for efficient parameter estimation.Proceedings of IEEE International Conference on Evolutionary Computation. Piscataway,NJ: IEEE Service Center,2004:309-315.
[146] Fan S K S, Liang Y C, Zahara E. Hybrid simplex search and particle swarm optimizationfor the global optimization of multimodal functions. Engineering Optimization,2004,36(4):401-418.
[147] Sun J, Feng B, Xu W B. Particle swarm optimization with particles having quantumbehavior. Proceedings of IEEE International Conference on Evolutionary Computation.Piscataway, NJ: IEEE Service Center,2004:325-331.
[148] Angeline P J. Using selection to improve particle swarm optimization. Proceedings of the1996Congress on Evolutionary Computation. Piscataway, NJ: IEEE Service Center,1999:84-89.
[149]高鹰，谢胜利.基于模拟退火的粒子群优化算法.计算机工程与应用,2004,40(1):47-50.
[150]李兵，蒋慰孙.混沌优化方法及其应用.控制理论与应用,1997,14(4):613-615.
[151]王东升，曹磊.混沌、分形及其应用.合肥：中国科学技术大学出版社,1995.
[152]黄润生.混沌及其应用.武汉：武汉大学出版社,2000.
[153]邹恩，李祥飞，陈建国.混沌控制及其优化应用.长沙：国防科技大学出版社,2002.
[154]张丹，李长河.基于混沌的粒子群优化算法研究与进展.软件导刊,2007,6(11):109-110.
[155]高鹰，谢胜利.混沌粒子群优化.计算机科学,2004,31(8):13-15.
[156]高尚，杨静宇.混沌粒子群优化算法研究.模式识别与人工智能,2006,19(2):266-270.
[157]唐贤伦.混沌粒子群优化算法理论及应用：[博士学位论文].重庆：重庆大学,2007.
[158]孟红纪，郑鹏，梅国晖，等.基于混沌序列的粒子群优化算法.控制与决策,2006,21(3):263-266.
[159]朱海梅，吴永萍.一种高速收敛粒子群优化算法.控制与决策,2010,25(1):20-24,30.
[160] Jiang C W, Etorre B. A hybrid method of chaotic particle swarm optimization and linearinterior for reactive power optimization. Mathematics and Computers in Simulation,2005,68(1):57-65.
[161]徐泽水.直觉模糊信息集成理论及应用.北京：科学出版社,2008.
[162]王学军.群体决策若干问题的理论与方法研究：[博士学位论文].沈阳：东北大学,2005.
[163]徐玖平，陈建中.群决策理论与方法及实现.北京：清华大学出版社,2009.
[164]朱佳俊，郑建国.群决策理论、方法及其应用研究的综述与展望.管理学报,2009,6(8):1131-1136.
[165] Hwang C L, Lin M L. Group decision making under multiple criteria. New York:Springer-Verlag,1987.
[166] Luce R D, Raiffa H. Games and decision. New York: John Wile&Sons Inc,1957.
[167]陈珽.决策分析.北京：科学出版社,1986.
[168]李怀祖.决策理论导论.北京：机械工业出版社,1993.
[169]邱菀华.管理决策与应用熵学.北京：机械工业出版社,2001.
[170]张恒龙，陈宪.社会选择理论研究综述.浙江大学学报(人文社会科学版),2006,36(2):80-87.
[171]罗云峰，肖人彬.社会选择的理论和进展.北京：科学出版社,2003.
[172] May K Q. A note on the independence of the conditions for simple majority decision.Econometrica,1953,21(1):172-173.
[173] Factor A L.应用服务提供商(ASP)解决方案.孙延明译.北京：电子工业出版社,2003.
[174]林建宗. ASP模式的外包关系研究.厦门：厦门大学出版社,2009.
[175]徐立云，李爱平，张为民.基于ASP的网络化制造及相关技术.中国机械工程,2004,15(19):1755-1759.
[176]韩敏.基于ASP的汽车产业链协作模式、技术、平台研究：[博士学位论文].成都：西南交通大学,2006.
[177]王云莉，肖田元，杨楠，等.协同产品开发平台的研究与实现.计算机集成制造系统-CIMS,2002,8(8):640-644.
[178]鄢萍，刘飞，雷琦.基于ASP模式的网络化设备资源共享模式及系统设计研究.中国机械工程,2004,15(14):1246-1249.
[179]尹华川，雷琦，刘飞，等.区域制造业信息化ASP平台及其应用实践.中国机械工程,2005,16(2):146-147,175.
[180]李少波，谢庆生.基于ASP的动态联盟制造资源管理框架研究.中国机械工程,2005,16(6):502-507.
[181]刘天湖，陈新度，陈新.基于ASP的协同设计研究.中国机械工程,2005,16(17):1527-1530.
[182]王淑营，赵慧娟，孙林夫.区域网络化制造ASP服务平台资源集成框架研究.中国机械工程,2005,16(19):1729-1732.
[183]尚利，姚进，沈显峰，等.支持中小企业区域性动态联盟的ASP解决方案.计算机集成制造系统-CIMS,2004,10(5):590-593.
[184]张景宇.探索中国ASP模式——爱科搭建服装行业ASP平台.中国制造业信息化,2005,(5):27-28.
[185]王正肖，郑小林，蔡铭，等.探索中国ASP模式——绍兴轻纺区域ASP平台的架构研究.中国制造业信息化,2005,(5):51-53.
[186]赵慧娟，唐慧佳，孙林夫.基于应用服务提供商的汽车产业链协同商务平台解决方案.计算机集成制造系统-CIMS,2006,12(5):745-752.
[187]贺强.基于ASP模式的太原市制造业信息化网络服务平台.机械管理开发,2009,24(5):83-85.
[188]柯常忠，黄晓波. ASP模式在网络化协同制造中的应用.组合机床与自动化加工技术,2005,(3):88-90.
[189]姜康.网络联盟企业生产管理关键技术及ASP支持平台研究：[博士学位论文].合肥：合肥工业大学,2006.
[190]陈华军. J2EE构建企业级应用解决方案.北京：人民邮电出版社,2002.
[191]张宝明，文燕平，陈梅梅.电子商务技术基础(第2版).北京：清华大学出版社,2008.
[192]刘湛. J2EE全面简介. http://www.ibm.com/developerworks/cn/java/j2ee/.
[193] Bodoff S, Green D, Haase K, et al. The J2EE Tutorial中文版.颜承，罗时飞，赵涌，等译.北京：中国铁道出版社,2003.
[194]付翠玉，李爱平，徐立云.基于ASP平台的动态联盟组建系统设计.机电一体化,2008,(1):29-33.
[195]梅苏文，高县民.基于角色权限管理模型的设计与实现.现代计算机,2002,(11):10-13.
[196]尹静.网络化制造ASP服务平台的系统管理设计与实现：[硕士学位论文].成都：西南交通大学,2005.
[2]陈剑，冯蔚东.虚拟企业构建与管理.北京：清华大学出版社,2002.
[3]仲智刚.敏捷供应链中若干关键技术问题研究：[博士学位论文].杭州：浙江大学,2001.
[4] Preiss K, Goldman S L, Nagel R N.21stCentury Manufacturing Enterprise Strategy: AnIndustry—Led View. Iacocca Institute, Lehigh University,1991.
[5]汪定伟.敏捷制造的ERP及其决策优化.北京：机械工业出版社,2003.
[6]齐二石，毛照昉，霍艳芳，等.虚拟企业发展研究综述.制造技术与机床,2004,(9):37-41.
[7] Davidow W H, Malone M S. The virtual corporation: structuring and revitalizing thecorporation for the21th century. New York:Harper Collins Publisher,1992.
[8] Byrne J A. The virtual corporation. Business Week,1993,2(8):36-41.
[9] Goldman S L, Nagel R N, Preiss K. Agile competitors and virtual organizations－strategies for enriching the customer. New York:Van Nostrand Reinhold,1994.
[10] Dove R.敏捷企业(上).中国机械工程,1996,7(3):22-27.
[11]陈菊红，汪应洛，孙林岩.虚拟企业——跨世纪企业的崭新组织形式.管理工程学报,2000,14(2):62-64.
[12]赵春明.虚拟企业.杭州：浙江人民出版社,1999.
[13]刘永和，黄必清，刘文煌，等.虚拟企业集成模型的形式化方法.清华大学学报(自然科学版),2000,40(4):84-87.
[14]李未，陈禹六，李清.基于统一建模语言的虚拟企业信息系统设计方法.计算机集成制造系统-CIMS,2000,6(6):46-51.
[15]刘志，高济.支持虚拟企业的过程建模和工作流管理系统.计算机辅助设计与图形学学报,2001,13(10):952-960.
[16]赵博，范玉顺.网络化制造环境下的动态企业建模.机械工程学报,2002,38(6):31-35.
[17]张大勇，徐晓飞，王刚.面向敏捷虚拟企业的模型重用过程与方法研究.计算机集成制造系统-CIMS,2004,10(1):23-29.
[18]王爱民，范莉娅，肖田元，等.面向制造网格的应用平台及虚拟企业建模研究.机械工程学报,2005,41(2):180-185.
[19] Presley A, Sarkis J, Barnett W, et al. Engineering the virtual enterprise: anarchitecture-driven modeling approach. International Journal of Flexible ManufacturingSystems,2001,13(2):145-162.
[20] Perrin O, Godart C. A model to support collaborative work in virtual enterprises. Data&Knowledge Engineering,2004,50(1):63-86.
[21] Deng H, Chen L, Wang C T, et al. A grid-based scheduling system of manufacturingresources for a virtual enterprise. International Journal of Advanced ManufacturingTechnology,2006,28(1):137-141.
[22]李瑜，黄必清，吴澄.虚拟企业信息管理系统.高技术通讯,2000,10(9):69-73.
[23]张和明，黄红星，李银胜，等.协同设计环境下的虚拟企业信息系统.高技术通讯,2001,11(1):56-60.
[24]田世海，高长元.基于Web Services的高技术虚拟企业信息集成.中国软科学,2006,(6):150-155.
[25]马鹏举，陈剑虹，卢秉恒，等.支持动态联盟的制造资源信息建模.中国机械工程,2000,11(7):780-782.
[26] Talluri S, Baker R C. A quantitative framework for designing efficient business processalliance. Proceedings of1996International Conference on Engineering and TechnologyManagement. Piscataway, NJ: IEEE Service Center,1996:656-661.
[27] Gunasekaran A. Agile manufacturing: enablers and an implementation framework.International Journal of Production Research,1998,36(5):1223-1247.
[28] Maloni M J, Benton W C. Supply chain partnership: opportunities for operations research.European Journal of Operational Research,1997,101(3):419-429.
[29] Zeng Z B, Li Y, Zhu W X. Partner selection with a due date constraint in virtualenterprises. Applied Mathematics and Computation,2006,175(2):1353-1365
[30] Johnson M, Meade L, Rogers J. Partner selection in the agile environment. Proceedings of4th Annual Agility Forum Conference. Atlanta, GA: ARRI,1995:496-505.
[31] Samadhi T M A A, Hoang K. Partners selection in a shared-CIM system. InternationalJournal of Computer Integrated Manufacturing,1998,11(2):173-182.
[32] Ho J K L, Fung R, Chu L, et al. A multimedia communication framework for selection ofcollaborative partners in global manufacturing. International Journal of ComputerIntegrated Manufacturing,2000,13(3):273-283.
[33] Lau H C W, Wong E T T. Partner selection and information infrastructure of a virtualenterprise network. International Journal of Computer Integrated Manufacturing,2001,14(2):186-193.
[34]马永军，蔡鹤皋，张曙.网络联盟企业中的设计伙伴选择方法.机械工程学报,2000,36(1):15-19.
[35]郑文军，张旭梅，刘飞，等.虚拟企业合作伙伴评价体系及优化决策.计算机集成制造系统,2000,6(5):63-67.
[36]韩江洪，王梅芳，马学森，等.基于自适应遗传算法的虚拟企业伙伴选择求解.计算机集成制造系统-CIMS,2008,14(1):118-123.
[37] Mikhailov L. Fuzzy analytical approach to partnership selection in formation of virtualenterprises. Omega,2002,30(5):393-401.
[38] Cao J, Ye F, Zhou G G, et al. A new method for VE partner selection and evaluation basedon AHP and fuzzy theory. Proceedings of the8th International Conference on ComputerSupported Cooperative Work in Design. Piscataway, NJ: IEEE Service Center,2003:563-566.
[39] Wang T C, Chen Y H. Applying consistent fuzzy preference relations to partnershipselection. Omega,2007,35(4):384-388.
[40]马鹏举，朱东波，丁玉成，等.基于模糊层次分析法(F-AHP)的盟员优化选择算法.西安交通大学学报,1999,33(7):108-110.
[41]王丹，杨桥春，王国仁，等.基于模糊层次分析法实现虚拟企业中的伙伴选择.东北大学学报(自然科学版),2000,21(6):606-609.
[42]王宛山，巩亚东，赵志宏.网络联盟企业合作伙伴选择过程的计算机辅助决策研究.数字制造科学,2003,1(1-4):179-201.
[43]李凌丰，谭建荣，赵海霞.基于AHP模糊优先权的虚拟企业伙伴选择方法.系统工程理论与实践,2004,24(12):1-7.
[44]曹柬，周根贵.一种新的敏捷虚拟企业合作伙伴选择与评价方法.中国机械工程,2004,15(22):2010-2013,2017.
[45]陆金伟，达庆利， Sweha S.一种选择虚拟企业伙伴的框架.管理工程学报,2000,14(4):19-21.
[46]卢纪华，李艳.基于DEA/AHP的虚拟企业合作伙伴选择研究.东北大学学报(自然科学版),2008,29(11):1661-1664.
[47]吴宪华，张列平.动态联盟伙伴选择的决策方法及其战略评估模型的建立.系统工程,1998,16(6):38-43.
[48] Amid A, Ghodsypour S H, O’Brien C. Fuzzy multi-objective linear model for supplierselection in a supply chain. International Journal of Production Economics,2006,10(4):394-407.
[49] Humphrey P, Mclvor R, Chan F. Using casebased reasoning to evaluate supplierenvironmental management performance. Expert Systems with Applications,2003,25(2):141-153.
[50]李莉，薛劲松，朱云龙.虚拟企业伙伴选择中的多目标决策问题.计算机集成制造系统-CIMS,2002,8(2):91-94.
[51]王润孝，罗琦，朱名铨.虚拟企业伙伴选择的建模研究.机械工程学报,2002,38(10):28-30.
[52]廖貅武，唐焕文.动态联盟中伙伴选择的证据推理方法.计算机集成制造系统-CIMS,2003,9(1):57-62.
[53]王晓林，张云，卿兆波.虚拟企业环境下制造合作伙伴选择决策方法研究.中国机械工程,2007,18(6):1197-1200.
[54]柳玉鹏，李一军.基于决策者偏好信息的合作伙伴选择决策模型.系统工程与电子技术，2009,31(3):602-605,732.
[55]张以文，倪志伟，王力，等.支持扩展QoS约束的动态虚拟企业伙伴选择模型.中国机械工程,2010,21(20):2482-2487.
[56]李俊亭，杨睿娟，康晓兵，等.基于灰色关联的虚拟企业伙伴选择.数学的实践与认识,2005,35(6):67-75.
[57]陈桦，赵汝嘉，曹岩，等.基于灰色关联分析的虚拟企业伙伴选择系统.机械工程学报,2006,42(6):78-85.
[58]张成考，聂茂林，吴价宝.基于改进型灰色评价的虚拟企业合作伙伴选择.系统工程理论与实践,2007,27(11):54-61.
[59]钱碧波，潘晓弘，程耀东.敏捷虚拟企业合作伙伴选择评价体系研究.中国机械工程,2000,11(4):397-401.
[60]陈菊红，汪应洛，孙林岩.虚拟企业伙伴选择过程及方法研究.系统工程理论与实践,2001,21(7),48-53.
[61]何伟强.虚拟企业合作伙伴选择模型与方法研究：[博士学位论文].武汉：华中科技大学,2002.
[62]董文辉，巩亚东，王宛山.基于遗传算法的网络化制造伙伴选择与优化.东北大学学报(自然科学版),2005,26(5):474-477.
[63]刘金山，廖文和，郭宇.基于双链遗传算法的网络化制造资源优化配置.机械工程学报,2008,44(2):189-195.
[64]冯蔚东，陈剑，赵纯均.基于遗传算法的动态联盟伙伴选择过程及优化模型.清华大学学报(自然科学版),2000,40(10):120-124.
[65]钟诗胜，汤新民.基于多智能体和合同网的虚拟企业伙伴选择.计算机集成制造系统-CIMS,2004,10(9):1109-1113.
[66]李剑，景波，牛少彰，等.基于自适应遗传算法的企业动态联盟伙伴选择模型.通信学报,2009,30(8):78-83.
[67] Brucker P, Drexl A, Mohring R, et al. Resource-constrained project scheduling: Notation,classification, models, and methods. European Journal of Operational Research,1999,112(1):3-41.
[68] Wang D W, Ip W H, Yung K L. A heuristic genetic algorithm for subcontractor selection ina global manufacturing environment. IEEE Transactions on Systems Man and CyberneticsPart C—Applicatons and Reviews,2001,31(2):189-198.
[69] Ip W H, Huang M, Yung K L, et al. Genetic algorithm solution for a risk-based partnerselection problem in a virtual enterprise. Computers&Operations Research,2003,30(2):213-231.
[70] Ip W H, Yung K L, Wang D W. A branch and bound algorithm for sub-contractor selectionin agile manufacturing environment. International Journal of Production Economics,2004,87(2):195-205.
[71] Wu N Q, Su P. Selection of partners in virtual enterprise paradigm. Robotics andComputer-Integrated Manufacturing,2005,21(2):119-131.
[72] Zhao Q, Zhang X H, Xiao R B. Particle swarm optimization algorithm for partnerselection in virtual enterprise. Progress in Natural Science,2008,18(11):1445-1452.
[73]汪定伟，容启亮，叶伟雄.企业动态联盟中的伙伴挑选模型及其软计算方法.中国科学(E),2002,32(6):824-830.
[74]曹洪医，汪定伟.用GA求解动态联盟中伙伴选择的多目标优化模型.控制与决策,2002,17(3):274-277.
[75]尚耀华，万威武.基于图论的虚拟企业制造伙伴选择优化算法.系统工程学报,2006,21(4):375-380.
[76]苏平，伍乃骐，于兆勤，等.改进遗传算法在虚拟企业伙伴选择与优化中的应用.系统工程理论与实践,2006,26(12):85-92.
[77]姜康，曹文钢，于振华.基于遗传算法和模糊决策的大规模联盟伙伴选择方法研究.系统工程理论与实践,2007,27(1):169-174.
[78]程方启，叶飞帆，杨建国.生产负荷约束下虚拟企业合作伙伴选择.系统工程理论与实践,2008,28(9):117-121,151.
[79]卜艳萍，周伟，俞金寿.基于改进粒子群优化算法的虚拟企业伙伴选择.系统工程,2008,26(12):62-65.
[80]徐汉川，徐晓飞，何霆.考虑资源置信度的跨企业项目伙伴选择方法.计算机集成制造系统-CIMS,2010,16(7):1480-1486.
[81]陈静杰，王扶东，朱云龙，等.基于群决策的供应链伙伴选择与评价过程.控制与决策,2002,17(增刊):690-694,698.
[82]李帅，郭亚军，易平涛，等.基于模糊群决策的虚拟企业合作伙伴选择.东北大学学报(自然科学版),2004,25(3):295-298.
[83]刘电霆，周德俭.中小企业协同制造伙伴的AHP群决策优选方法.制造业自动化,2006,28(9):81-85.
[84]赵海兰，禹定臣.合作伙伴选择的多准则群决策算法.计算机工程与设计,2008,29(6):1522-1523,1554
[85]李武，赵慧.供应商选择的组合多属性群决策.计算机工程与应用,2008,44(9):239-241,244.
[86]李武，岳超源，陈阳.基于群体理想解的供应商选择多属性决策.华中科技大学学报(自然科学版),2008,36(10):45-47.
[87] Ye F, Li Y N. Group multi-attribute decision model to partner selection in the formation ofvirtual enterprise under incomplete information. Expert Systems with Applications,2009,36(5):9350-9357.
[88] Ye F. An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers forvirtual enterprise partner selection. Expert Systems with Applications,2010,37(10):7050-7055.
[89] Zhang D F, Zhang J L, Lai K K, et al. An novel approach to supplier selection based onvague sets group decision. Expert Systems with Applications,2009,36(5):9557-9563.
[90] Boran F E, Genc S, Kurt M, et al. A multi-criteria intuitionistic fuzzy group decisionmaking for supplier selection with TOPSIS method. Expert Systems with Applications,2009,36(8):11363-11368.
[91] Sanayei A, Mousavi S F, Yazdankhah A. Group decision making process for supplierselection with VIKOR under fuzzy environment. Expert Systems with Applications,2010,37(1):24-30.
[92]王万良，吴启迪.生产调度智能算法及其应用.北京：科学出版社,2007.
[93]石春生，方淑芬.关于组建动态联盟的探讨.决策借鉴,1999,(6):34-37.
[94]马士华，林勇，陈志祥.供应链管理.北京：机械工业出版社,2000.
[95]孙东川，叶飞.基于虚拟企业的合作伙伴选择系统研究.科学管理研究，2001,19(1):59-62.
[96]叶飞，孙东川，张红.面向虚拟企业合作伙伴选择的新过程框架结构研究.系统工程理论与实践,2003,23(11):88-94.
[97]刘书庆，董雅文.生产型虚拟企业制造合作伙伴选择模型研究.中国管理科学,2006,14(6):77-85.
[98]陈禹六，李清，张锋.经营过程重构(BPR)与系统集成.北京：清华大学出版社,2001.
[99]袁崇义. Petri网原理与应用.北京：电子工业出版社,2005.
[100]郭齐胜，董志明，李亮，等.系统建模与仿真(下册).北京：国防工业出版社,2007.
[101] Sakawa M, Mori T. An efficient genetic algorithm for job-shop scheduling problems withfuzzy processing time and fuzzy duedate. Computers&Industrial Engineering,1999,36(2):325-341.
[102] Sakawa M, Kubota R. Fuzzy programming for multiobjective job shop scheduling withfuzzy processing time and fuzzy duedate through genetic algorithms. European Journal ofOperational Research,2000,120(2):393-407.
[103] Zadeh L A. Fuzzy sets. Information and Control,1965,8:338-353.
[104]陈水利，李敬功，王向公.模糊集理论及其应用.北京：科学出版社,2005.
[105]李登峰.模糊多目标多人决策与对策.北京：国防工业出版社,2003.
[106]罗承忠.模糊集引论(上册).北京：北京师范大学出版社,1989.
[107] Tran L, Duckstein L. Comparison of fuzzy numbers using a fuzzy distance measure. FuzzySets and Systems,2002,130(3):331-341.
[108]卢冰原.模糊环境下的Flexible Job-shop调度问题的研究：[博士学位论文].合肥：中国科技大学,2006.
[109]李全龙，徐晓飞.动态联盟伙伴选择的一种自适应遗传算法.高技术通讯,2001,11(10):66-69.
[110]陈国良，王煦法，庄镇泉，等.遗传算法及其应用.北京：人民邮电出版社,2001.
[111]赵强，肖人彬.改进粒子群算法求解虚拟企业伙伴选择问题.工业工程与管理,2009,14(2):38-42.
[112]王小平，曹立明.遗传算法——理论、应用与软件实现.西安：西安交通大学出版社,2006.
[113]王凌.车间调度及其遗传算法.北京：清华大学出版社,2003.
[114]岳超源.决策理论与方法.北京：科学出版社,2003.
[115]玄光男，程润伟.遗传算法与工程优化.北京：清华大学出版社,2006.
[116]余文，李人厚.遗传算法对约束优化问题的研究综述.计算机科学,2002,29(6):98-101.
[117] Atanassov K T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20(1):87-96.
[118] Gau W L, Buehrer D J. Vague sets. IEEE Transactions on Systems, Man and Cybernetics,1993,23(2):610-614.
[119] Bustince H, Burillo P. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems,1996,79(3):403-405.
[120] Hong D H, Choi C H. Multicriteria fuzzy decision-making problems based on vague settheory. Fuzzy Sets and Systems,2000,114(1):103-113.
[121] Szmidt E, Kacprzyk J. Distances between intuitionistic fuzzy sets. Fuzzy Sets andSystems,2000,114(3):505-518.
[122] Xu Z S, Yager R R. Some geometric aggregation operators based on intuitionistic fuzzysets. International Journal of General Systems,2006,35(4):417-433.
[123] Chen S M, Tan J M. Handling multicriteria fuzzy decision-making problems based onvague set theory. Fuzzy Sets and Systems,1994,67(2):163-172.
[124] Xu Z S. Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems,2007,15(6):1179-1187.
[125] Kennedy J, Eberhart R C. Particle swarm optimization. Proceedings of IEEE InternationalConference on Neural Networks. Piscataway, NJ: IEEE Service Center,1995:1942-1948.
[126] Kennedy J. The particle swarm: social adaptation of knowledge. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,1997:303-308.
[127] Shi Y, Eberhart R C. A modified particle swarm optimizer. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,1998:69-73.
[128] Shi Y, Eberhart R C. Parameter selection in particle swarm optimization. Proceedings ofthe7th Annual Conference on Evolutionary Programming. New York: Springer-Verlag,1998:591-600.
[129]纪震，廖慧连，吴青华.粒子群算法及应用.北京：科学出版社,2009.
[130]高尚，杨静宇.群智能算法及其应用.北京：中国水利水电出版社,2006.
[131]刘虹.基于混沌、灰熵关联的微粒群算法改进及在机械优化中的应用：[博士学位论文].福州：福州大学,2009.
[132]沈艳，郭兵，古天祥.粒子群优化算法及其与遗传算法的比较.电子科技大学学报,2005,34(5):696-699.
[133]王凌，刘波.微粒群优化与调度算法.北京：清华大学出版社,2008.
[134] Shi Y, Eberhart R C. Fuzzy adaptive particle swarm optimization. Proceedings of IEEEInternational Conference on Evolutionary Computation. Piscataway, NJ: IEEE ServiceCenter,2001:101-106.
[135] Clerc M, Kennedy J. The particle swarm: explosion, stability and convergence in amulti-dimensional complex space. IEEE Transactions on Evolution Computation,2002,6(1):58-73.
[136] Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarmoptimization. Proceedings of IEEE International Conference on Evolutionary Computation.Piscataway, NJ: IEEE Service Center,2000:84-88.
[137] He S, Wu Q H, Wen J Y, et al. A particle swarm optimizer with passive congregation.Biosystems,2004,78(1-3):135-147.
[138] Ratnaweera A, Halgamuge S K, Watson H C. Self-organizing hierarchical particle swarmoptimizer with time-varying acceleration coefficeents. IEEE Transactions on EvolutionComputation,2004,8(3):240-255.
[139] L vbjerg M, Rasmussen T K, Krink T. Hybrid particle swarm optimiser with breeding andsubpopulations. Proceedings of the3rdGenetic and Evolutionary Computation Conference,San Francisco, CA: Morgan Kaufmann Publishers Inc,2001:469-476.
[140] Van den Bergh F, Engelbrecht A P. A cooperative approach to particle swarm optimization.IEEE Transactions on Evolution Computation,2004,8(3):225-239.
[141] Rodriguez A, Reggia J A. Extending self-organizing particle systems to problem solving.Artificial Life,2004,10(4):379-395.
[142] Ciuprina G, Ioan D, Munteanu I. Use of intelligent-particle swarm optimization inelectromagnetics. IEEE Transactions on Magnetics,2002,38(2):1037-1040.
[143] Kennedy J, Mendes R. Population structure and particle swarm performance. Proceedingsof IEEE International Conference on Evolutionary Computation. Piscataway, NJ: IEEEService Center,2002:1671-1676.
[144] Suganthan P N. Particle swarm optimizer with neighborhood operator. Proceedings ofIEEE International Conference on Evolutionary Computation. Piscataway, NJ: IEEEService Center,1999:1958-1961.
[145] Katare S, Kalos A, West D. A hybrid swarm optimizer for efficient parameter estimation.Proceedings of IEEE International Conference on Evolutionary Computation. Piscataway,NJ: IEEE Service Center,2004:309-315.
[146] Fan S K S, Liang Y C, Zahara E. Hybrid simplex search and particle swarm optimizationfor the global optimization of multimodal functions. Engineering Optimization,2004,36(4):401-418.
[147] Sun J, Feng B, Xu W B. Particle swarm optimization with particles having quantumbehavior. Proceedings of IEEE International Conference on Evolutionary Computation.Piscataway, NJ: IEEE Service Center,2004:325-331.
[148] Angeline P J. Using selection to improve particle swarm optimization. Proceedings of the1996Congress on Evolutionary Computation. Piscataway, NJ: IEEE Service Center,1999:84-89.
[149]高鹰，谢胜利.基于模拟退火的粒子群优化算法.计算机工程与应用,2004,40(1):47-50.
[150]李兵，蒋慰孙.混沌优化方法及其应用.控制理论与应用,1997,14(4):613-615.
[151]王东升，曹磊.混沌、分形及其应用.合肥：中国科学技术大学出版社,1995.
[152]黄润生.混沌及其应用.武汉：武汉大学出版社,2000.
[153]邹恩，李祥飞，陈建国.混沌控制及其优化应用.长沙：国防科技大学出版社,2002.
[154]张丹，李长河.基于混沌的粒子群优化算法研究与进展.软件导刊,2007,6(11):109-110.
[155]高鹰，谢胜利.混沌粒子群优化.计算机科学,2004,31(8):13-15.
[156]高尚，杨静宇.混沌粒子群优化算法研究.模式识别与人工智能,2006,19(2):266-270.
[157]唐贤伦.混沌粒子群优化算法理论及应用：[博士学位论文].重庆：重庆大学,2007.
[158]孟红纪，郑鹏，梅国晖，等.基于混沌序列的粒子群优化算法.控制与决策,2006,21(3):263-266.
[159]朱海梅，吴永萍.一种高速收敛粒子群优化算法.控制与决策,2010,25(1):20-24,30.
[160] Jiang C W, Etorre B. A hybrid method of chaotic particle swarm optimization and linearinterior for reactive power optimization. Mathematics and Computers in Simulation,2005,68(1):57-65.
[161]徐泽水.直觉模糊信息集成理论及应用.北京：科学出版社,2008.
[162]王学军.群体决策若干问题的理论与方法研究：[博士学位论文].沈阳：东北大学,2005.
[163]徐玖平，陈建中.群决策理论与方法及实现.北京：清华大学出版社,2009.
[164]朱佳俊，郑建国.群决策理论、方法及其应用研究的综述与展望.管理学报,2009,6(8):1131-1136.
[165] Hwang C L, Lin M L. Group decision making under multiple criteria. New York:Springer-Verlag,1987.
[166] Luce R D, Raiffa H. Games and decision. New York: John Wile&Sons Inc,1957.
[167]陈珽.决策分析.北京：科学出版社,1986.
[168]李怀祖.决策理论导论.北京：机械工业出版社,1993.
[169]邱菀华.管理决策与应用熵学.北京：机械工业出版社,2001.
[170]张恒龙，陈宪.社会选择理论研究综述.浙江大学学报(人文社会科学版),2006,36(2):80-87.
[171]罗云峰，肖人彬.社会选择的理论和进展.北京：科学出版社,2003.
[172] May K Q. A note on the independence of the conditions for simple majority decision.Econometrica,1953,21(1):172-173.
[173] Factor A L.应用服务提供商(ASP)解决方案.孙延明译.北京：电子工业出版社,2003.
[174]林建宗. ASP模式的外包关系研究.厦门：厦门大学出版社,2009.
[175]徐立云，李爱平，张为民.基于ASP的网络化制造及相关技术.中国机械工程,2004,15(19):1755-1759.
[176]韩敏.基于ASP的汽车产业链协作模式、技术、平台研究：[博士学位论文].成都：西南交通大学,2006.
[177]王云莉，肖田元，杨楠，等.协同产品开发平台的研究与实现.计算机集成制造系统-CIMS,2002,8(8):640-644.
[178]鄢萍，刘飞，雷琦.基于ASP模式的网络化设备资源共享模式及系统设计研究.中国机械工程,2004,15(14):1246-1249.
[179]尹华川，雷琦，刘飞，等.区域制造业信息化ASP平台及其应用实践.中国机械工程,2005,16(2):146-147,175.
[180]李少波，谢庆生.基于ASP的动态联盟制造资源管理框架研究.中国机械工程,2005,16(6):502-507.
[181]刘天湖，陈新度，陈新.基于ASP的协同设计研究.中国机械工程,2005,16(17):1527-1530.
[182]王淑营，赵慧娟，孙林夫.区域网络化制造ASP服务平台资源集成框架研究.中国机械工程,2005,16(19):1729-1732.
[183]尚利，姚进，沈显峰，等.支持中小企业区域性动态联盟的ASP解决方案.计算机集成制造系统-CIMS,2004,10(5):590-593.
[184]张景宇.探索中国ASP模式——爱科搭建服装行业ASP平台.中国制造业信息化,2005,(5):27-28.
[185]王正肖，郑小林，蔡铭，等.探索中国ASP模式——绍兴轻纺区域ASP平台的架构研究.中国制造业信息化,2005,(5):51-53.
[186]赵慧娟，唐慧佳，孙林夫.基于应用服务提供商的汽车产业链协同商务平台解决方案.计算机集成制造系统-CIMS,2006,12(5):745-752.
[187]贺强.基于ASP模式的太原市制造业信息化网络服务平台.机械管理开发,2009,24(5):83-85.
[188]柯常忠，黄晓波. ASP模式在网络化协同制造中的应用.组合机床与自动化加工技术,2005,(3):88-90.
[189]姜康.网络联盟企业生产管理关键技术及ASP支持平台研究：[博士学位论文].合肥：合肥工业大学,2006.
[190]陈华军. J2EE构建企业级应用解决方案.北京：人民邮电出版社,2002.
[191]张宝明，文燕平，陈梅梅.电子商务技术基础(第2版).北京：清华大学出版社,2008.
[192]刘湛. J2EE全面简介. http://www.ibm.com/developerworks/cn/java/j2ee/.
[193] Bodoff S, Green D, Haase K, et al. The J2EE Tutorial中文版.颜承，罗时飞，赵涌，等译.北京：中国铁道出版社,2003.
[194]付翠玉，李爱平，徐立云.基于ASP平台的动态联盟组建系统设计.机电一体化,2008,(1):29-33.
[195]梅苏文，高县民.基于角色权限管理模型的设计与实现.现代计算机,2002,(11):10-13.
[196]尹静.网络化制造ASP服务平台的系统管理设计与实现：[硕士学位论文].成都：西南交通大学,2005.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |