网络化协作加工资源优化配置方法及其加工支持系统研究
|
摘要
我国已成为世界加工制造大国。跨企业、跨区域甚至跨国界的协作型加工制造业正迅速发展并已成为我国制造业的重要组成部分之一。协作型加工制造业是由“主导企业”(主机厂或委托厂等)下定单、图纸和技术要求,“协作加工企业”进行加工制造的一种量大面广的产业模式。随着经济全球化和信息网络的飞速发展,网络化制造模式已逐渐成为现代制造企业的重要发展趋势之一。在网络化制造系统的支持下,主导企业进行协作加工资源选择的范围已不再局限于某几个企业和某几个区域,而是逐渐发展成为一种全球性的、网络化的优化利用模式。如何支持企业更广范围的优化配置协作加工资源,以及如何更有效的提升协作企业间的信息交互和业务协作能力,是当前网络化协作加工领域研究和应用的热点问题之一。论文在借鉴国内外已有研究成果的基础上,围绕网络化协作加工资源的优化配置方法及其加工支持系统进行了一些探索和研究。
首先,在分析网络化协作加工资源的构成属性及特点的基础上,对网络化协作加工资源语义描述及集成服务机制进行了研究,包括:研究了网络化协作加工资源的本体建模及语义描述方法;提出了一种基于扩展的统一描述、发现和集成协议(Universal Description Discovery and Integration,UDDI)的网络化协作加工资源注册发布机制和基于语法级与语义级相结合的搜索匹配算法;在此基础上,建立了一种能促进资源快速共享和高效利用的网络化协作加工资源集成服务运行模式。
其次,针对网络化协作加工资源选择的影响因素,提出了包含协作响应速度(T)、协作质量(Q)、协作成本(C)、协作信息交互能力(I)、协作过程技术安全和保密性(S)、协作资源保障能力(R)和协作商知识积累及可持续发展能力(K)等七大目标变量的决策目标体系,建立了一种网络化协作加工资源优化选择的决策框架模型,针对决策过程中信息的隐蔽性、模糊性等特点设计了模型求解的灰色关联算法,并通过应用实例,验证了上述模型及方法的正确性和实用性。再次,针对协作加工资源优化配置过程中的多任务性、多候选资源性、多目标性和环境多变性等特点,采用线性加权法建立了以协作加工时间(T)、协作加工成本(C)和协作加工质量(Q)等为目标的多任务协作加工资源优化配置模型,设计了基于遗传算法的求解过程,并以一个应用实例验证了该优化配置模型及求解方法的有效性与实用性。
然后,针对网络化协作加工过程的信息交互和业务协作的需求,设计了一套基于网络化多功能交互式信息终端的网络化协作加工支持系统,构建了该系统的体系结构、功能结构和运行模式;并对基于网络化多功能交互式信息终端的协作加工过程实时信息采集、协作任务可制造性协同分析、数控程序协同编制等协作加工过程信息交互与业务协作支持技术,以及系统的部分实现关键技术进行了研究。
最后,结合重庆市网状中心城市型区域网络化制造系统的实施,针对摩托车零部件制造业的现状和需求,设计和开发了一套摩托车零部件制造企业网络化协作加工运行支持系统,并在重庆市一摩托车零部件制造企业进行了应用,取得了良好应用效果。
Our country has become one of the major manufacturing countries in the world. The collaborative processing manufacturing industry which is cross-enterprise, cross-regional and even cross-border is developing rapidly, and it has become an important part of our country’s manufacturing industry. The collaborative processing manufacturing industry is a kind of general industrial model that is driven by the orders, drawings and technical requirements of the“dominant enterprise”(OEM or committing factory, etc.) and completed the manufacturing procedure by the“collaborative processing enterprise”. With the economic globalization and the rapid development of information network, the networked manufacturing model has gradually become an important development trend of the modern manufacturing enterprises. With the support of the networked manufacturing system, the choice of the dominant enterprises choosing the collaborative processing resoures is no longer confined to a number of enterprises and a few regions. It is gradually becoming a global and networked optimal utilization model. The current research and application issues in the field of networked collaborative processing, such as how to make the enterprises have a broader way to optimally allocate collaborative processing resoures and how to promote the capability of information exchange and business collaboration between the collaborative enterprises more efficiently, are studied intensely. Based on the internal and external existing research results, the optimal resources allocating methods of networked collaborative processing and its support system are studied in this paper.
Firstly, based on the analysis of the Networked Collaborative Processing Resources(NCPR)’s compositive attributes and characteristics, the NCPR’s semantic description and integrated service mechanism are studied, including the NCPR’s ontology model and semantic description method. A kind of NCPR’s register and publish mechanism based on the expanded Universal Description Discovery and Integration protocol is proposed. The search-match algorithm which could realize the combination of the grammar and semantic layer is proposed, too. On this basis, a new NCPR integrated service operation model that could enhance the fast sharing and high-effectively using of the resources is established.
Secondly, the optimal selecting factors to NCPR are considered, and a kind of decision-making target system and framework model for NCPR is proposed. The system contains seven target factors, such as T (response speed), Q (collaborative quality), C (collaborative cost), R (the ability to ensure collaborative resources), I (the ability to exchange collaborative information), S (the technology security and confidentiality in the collaborative processing) and K (the collaborative enterprises’knowledge accumulation and capability of sustainable development). And focused on the invisibility and fuzziness of information in the decision-making procedure, a grey related algorithm for the model analysis is designed. At last, a case study in which a decision-making problem is analyzed and solved successfully shows the model and method is correct and practical.
Thirdly, according to the characteristics like multi-task, multi-candidate resource, multi-objective and dynamic environment in the optimal allocation of collaborative processing resources, this paper adopts a kind of optimal allocation model for multi-task collaborative processing resources which was constructed by using the linear weighted method. In this model, collaborative processing time, collaborative processing cost and collaborative processing quality are set as target factors. And the genetic algorithm is introduced into the model solution, an application example is also given to prove the validity and feasibility of the approach.
Then, aimed at the monitoring and management requirement in the networked collaborative processing procedure, this paper a networked collaborative processing support system that is based on the networked multi-function interactive information terminal is builded, and the system’s architecture, function structure and operation mode are constructed. Meanwhile, the collaborative processing information exchange and business collaborative support technology based on the networked multi-function interactive information terminal and some key technologies for implementing the system are researched. The above-mentioned technologies include the real-time information collection, collaborative manufacturability analysis for collaborative tasks, the collaborative compilation of NC program and so on.
Finally, combined with the implementation experience of the networked manufacturing systems for netlike region with a central city in Chongqing and the present situation and requirement of motorcycle parts manufacturing enterprises, a set of networked collaborative processing operation support system for motorcycle parts manufacturing enterprises is developed. The system has been applied to a few Chongqing motorcycle parts manufacturing enterprises, and good results are obtained.
首先,在分析网络化协作加工资源的构成属性及特点的基础上,对网络化协作加工资源语义描述及集成服务机制进行了研究,包括:研究了网络化协作加工资源的本体建模及语义描述方法;提出了一种基于扩展的统一描述、发现和集成协议(Universal Description Discovery and Integration,UDDI)的网络化协作加工资源注册发布机制和基于语法级与语义级相结合的搜索匹配算法;在此基础上,建立了一种能促进资源快速共享和高效利用的网络化协作加工资源集成服务运行模式。
其次,针对网络化协作加工资源选择的影响因素,提出了包含协作响应速度(T)、协作质量(Q)、协作成本(C)、协作信息交互能力(I)、协作过程技术安全和保密性(S)、协作资源保障能力(R)和协作商知识积累及可持续发展能力(K)等七大目标变量的决策目标体系,建立了一种网络化协作加工资源优化选择的决策框架模型,针对决策过程中信息的隐蔽性、模糊性等特点设计了模型求解的灰色关联算法,并通过应用实例,验证了上述模型及方法的正确性和实用性。再次,针对协作加工资源优化配置过程中的多任务性、多候选资源性、多目标性和环境多变性等特点,采用线性加权法建立了以协作加工时间(T)、协作加工成本(C)和协作加工质量(Q)等为目标的多任务协作加工资源优化配置模型,设计了基于遗传算法的求解过程,并以一个应用实例验证了该优化配置模型及求解方法的有效性与实用性。
然后,针对网络化协作加工过程的信息交互和业务协作的需求,设计了一套基于网络化多功能交互式信息终端的网络化协作加工支持系统,构建了该系统的体系结构、功能结构和运行模式;并对基于网络化多功能交互式信息终端的协作加工过程实时信息采集、协作任务可制造性协同分析、数控程序协同编制等协作加工过程信息交互与业务协作支持技术,以及系统的部分实现关键技术进行了研究。
最后,结合重庆市网状中心城市型区域网络化制造系统的实施,针对摩托车零部件制造业的现状和需求,设计和开发了一套摩托车零部件制造企业网络化协作加工运行支持系统,并在重庆市一摩托车零部件制造企业进行了应用,取得了良好应用效果。
Our country has become one of the major manufacturing countries in the world. The collaborative processing manufacturing industry which is cross-enterprise, cross-regional and even cross-border is developing rapidly, and it has become an important part of our country’s manufacturing industry. The collaborative processing manufacturing industry is a kind of general industrial model that is driven by the orders, drawings and technical requirements of the“dominant enterprise”(OEM or committing factory, etc.) and completed the manufacturing procedure by the“collaborative processing enterprise”. With the economic globalization and the rapid development of information network, the networked manufacturing model has gradually become an important development trend of the modern manufacturing enterprises. With the support of the networked manufacturing system, the choice of the dominant enterprises choosing the collaborative processing resoures is no longer confined to a number of enterprises and a few regions. It is gradually becoming a global and networked optimal utilization model. The current research and application issues in the field of networked collaborative processing, such as how to make the enterprises have a broader way to optimally allocate collaborative processing resoures and how to promote the capability of information exchange and business collaboration between the collaborative enterprises more efficiently, are studied intensely. Based on the internal and external existing research results, the optimal resources allocating methods of networked collaborative processing and its support system are studied in this paper.
Firstly, based on the analysis of the Networked Collaborative Processing Resources(NCPR)’s compositive attributes and characteristics, the NCPR’s semantic description and integrated service mechanism are studied, including the NCPR’s ontology model and semantic description method. A kind of NCPR’s register and publish mechanism based on the expanded Universal Description Discovery and Integration protocol is proposed. The search-match algorithm which could realize the combination of the grammar and semantic layer is proposed, too. On this basis, a new NCPR integrated service operation model that could enhance the fast sharing and high-effectively using of the resources is established.
Secondly, the optimal selecting factors to NCPR are considered, and a kind of decision-making target system and framework model for NCPR is proposed. The system contains seven target factors, such as T (response speed), Q (collaborative quality), C (collaborative cost), R (the ability to ensure collaborative resources), I (the ability to exchange collaborative information), S (the technology security and confidentiality in the collaborative processing) and K (the collaborative enterprises’knowledge accumulation and capability of sustainable development). And focused on the invisibility and fuzziness of information in the decision-making procedure, a grey related algorithm for the model analysis is designed. At last, a case study in which a decision-making problem is analyzed and solved successfully shows the model and method is correct and practical.
Thirdly, according to the characteristics like multi-task, multi-candidate resource, multi-objective and dynamic environment in the optimal allocation of collaborative processing resources, this paper adopts a kind of optimal allocation model for multi-task collaborative processing resources which was constructed by using the linear weighted method. In this model, collaborative processing time, collaborative processing cost and collaborative processing quality are set as target factors. And the genetic algorithm is introduced into the model solution, an application example is also given to prove the validity and feasibility of the approach.
Then, aimed at the monitoring and management requirement in the networked collaborative processing procedure, this paper a networked collaborative processing support system that is based on the networked multi-function interactive information terminal is builded, and the system’s architecture, function structure and operation mode are constructed. Meanwhile, the collaborative processing information exchange and business collaborative support technology based on the networked multi-function interactive information terminal and some key technologies for implementing the system are researched. The above-mentioned technologies include the real-time information collection, collaborative manufacturability analysis for collaborative tasks, the collaborative compilation of NC program and so on.
Finally, combined with the implementation experience of the networked manufacturing systems for netlike region with a central city in Chongqing and the present situation and requirement of motorcycle parts manufacturing enterprises, a set of networked collaborative processing operation support system for motorcycle parts manufacturing enterprises is developed. The system has been applied to a few Chongqing motorcycle parts manufacturing enterprises, and good results are obtained.
引文
[1]刘飞,张晓冬,杨丹等.制造系统工程.[M]北京:国防工业出版社, 2000.
[2]路甬祥.团结奋斗开拓创新建设制造强国[J].机械工程学报,2003,39(1):1-8.
[3]刘德忠,费仁元,吴国蔚.制造工程组织学[M].北京:科学出版社, 2005.
[4]王兰美,袁清珂.21世纪制造业面临的挑战与对策[J].组合机床与自动化加工技术,1999,4:7-9.
[5]赵群,张翔,李青绵.国际金融危机影响下的我国制造业发展路径[J].现代制造工程,2010,(2):147-148.
[6]陈友良.对西方跨国公司全球扩张的几点思考[J].世界经济与政治,2001,5:17-20.
[7]搜狐科技.走向全球化--波音公司调整全球经营方[EB/OL].http://news.sohu.com /09/56/news213285609.shtml,2010-3-10.
[8]马春.波音787梦想飞机全球造[EB/OL]. http://www.istis.sh.cn/list/list.aspx?id =4416,2007-7-18.
[9]范玉顺.网络化制造的内涵与关键技术问题[J].计算机集成制造系统, 2003,9(7):576-577.
[10] Marsha Woodbury. National information infrastructure:Agenda for action[EB/OL].http://www. cpsr.org/program/nii/nii.html,2011-3-10.
[11]杨叔子,吴波,胡春华等.网络化制造与企业集成[J]中国机械工程, 2000(01):46-48.
[12]国家技术前瞻研究组.中国技术前瞻报告2004[R].北京:科学技术文献出版社, 2005,5.
[13]张蓬,刘昕.CPC预热“中国制造”升级潜力大过ERP[EB/OL]. http://www.soft6.com/tech /4/43202.html,2007-8-10.
[14]袁学军.垂直专业化分工与加工贸易的结构升级[J].商业时代,2009,26:28-30.
[15]沈蕾.论专业化分工与我国大企业的发展经济问题探索[J].经济问题探索,2004,7:4-6.
[16]王中华.中国参与国际垂直专业化分工的行业国际竞争力效应分析[J].经济问题探,2010,9:110-114.
[17]赵文丁.新型国际分工格局下中国制造业的比较优势[J].中国工业经济,2003,(8):32.
[18]来有为.“制造企业服务化”的发展路径和典型模式[EB/OL]. http://theory.people.com.cn/ GB/41038/8904047.html,2009-3-4.
[19]汪须忠,秦正富,麻德贤.B2B电子商务事例研究[J].计算机与应用化学,2004,21(4):577-582.
[20]中国信息产业网.2009第三方服务平台走向“深度应用”[EB/OL]. http://www.cnii.com.cn /index/content/2009-01/21/content_464652.htm, 2009,1,21.
[21]于海斌,朱云龙.协同制造—e时代的制造策略与解决方案[M].北京:清华大学出版社,2004.
[22] JIAN H Y, XU M L. The value of production outsourcing: a real options perspective[C]// Proceedings of 2006 International Conference on Management Science and Engineering. Piscataway, N.J., USA:IEEE, 2007:587-590.
[23]尹胜,尹超,刘飞,等.多任务协作加工资源优化配置模型及遗传算法求解[J].重庆大学学报, 2010,33(3):49-55
[24]中华机械网.航空业协作加工促加工厂快速发展[EB/OL]. http://news.machine365.com/ content/2007/0901/169787.html, 2007,9,1.
[25]中国机电出口指南.2010年我国机械工业产销超14万亿[EB/OL].http://mep128.mofcom. gov.cn/mep/xwzx/cyzx/285844.asp,2011-2-9
[26]刘飞,祁国宁,宁汝新等.先进制造系统及管理运作[R].国家自然科学基金委员会学科发展战略研究报告:《机械与制造科学》第15章,北京:科学出版社,2006.
[27]范玉顺,张立晴,刘博.网络化制造与制造网络[J].中国机械工程, 2004,19(15):1733-1738.
[28] M. Dotoli, M.P. Fanti, A. Giua et al. First-order hybrid Petri nets. An application to distributed manufacturing systems .Nonlinear Analysis: Hybrid Systems, 2008,2(2): 408-430
[29] Iwamura.K, Kuwahara.S, Tanimizu.Y, Sugimura.N .Real-time scheduling method considering human operators in autonomous distributed.Manufacturing systems[J].Manufacturing systems and thchnologies for the new frontier,2008,5:283-288.
[30] Yoram Koren, Moshe Shpitalni .Design of reconfigurable manufacturing systems[J] .Journal of Manufacturing Systems, ,2010,29(4): 130-141
[31]谢楠,李爱平,徐立云.可重组制造系统及其关键技术[J].同济大学学报自然科学版,2005,33(11): 1513-1517.
[32] Daniel Vázquez Bustelo, Lucía Avella. Agile manufacturing: Industrial case studies in Spain[J]. Technovation,2006,26(10):1147-1161
[33] R. Anthony Inman, R. Samuel Sale, Kenneth W. Green Jr et al. Agile manufacturing: Relation to JIT, operational performance and firm performance[J] .Journal of Operations Management, 2011,29(4):343-355.
[34]张曙.分散网络化制造[M].北京:北京机械工业出版社,1999.
[35]李健,刘飞.基于网络的先进制造技术[J].中国机械工程,2001,12(2):154-158.
[36]尹超.区域性网络化制造系统及其产品协同开发技术研究与应用[D].重庆:重庆大学,2002.
[37] Rzevski G. Framework for designing intelligent manufacturing systems[J].Computer in Industry,1997,34:211-219.
[38]王自强,冯博琴.智能制造系统的多模型研究[J].中国机械工程,2004,14(16):1390-1393.
[39] G.Berio,F.B.Vernadat.New developments inenterprise modeling using CIMOSA[J].Computers in Industry,40(1999):99-114.
[40] D.Xue,J.Sun,D.H.Norrie.An intelligent optimal production scheduling approach using constraint-based search and agent-based collaboration[J]. Computers in Industry.46 (2001): 209-231.
[41] J.Sun,D.Xue. A dynamic reactive scheduling mechanism for responding to changes of production orders and manufacturing resources[J]. Computer in Industry. 46(2001):187-207.
[42] M.K.Lim,Z.Zhang. A multi-agent based manufacturing control strategy for responsive manufacturing[J]. Journal of Materials Processing Technology,2003.
[43] Jay Steele,Young-Jun Son,Richard A Wysk. Resource modeling for the integration of the manufacturing enterprise[J]. Journal of Manufacturing Systems. 2001,19(6):407-427.
[44] A Molina,R Bell. A manufacturing model representation of a flexible manufacturing facility[J]. Journal of Engineering Manufacture, 1999,213(3):225-246
[45]郝京辉,孙树栋,沙全友.制造资源网络协同环境下广义制造能力资源模型研究[J].计算机应用研究. 2006,24(3):60-63.
[46]张玉云,吴瑞荣,田文生.制造系统资源建模与适应性工艺过程设计[J].计算机集成制造系统.1997(5):33-39.
[47]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[J].中国机械工程. 2000,11(7):780-783.
[48]宋玉银,褚秀萍,蔡复之.基于STEP的制造资源能力建模及其应用研究[J].计算机集成制造系统. 1999,5(4):46-50.
[49]郭宁,金天国,刘文剑.基于虚拟制造单元的制造资源组织模型[J].计算机集成制造系统. 2010,16(8):1649-1656.
[50]余强,张海盛,梁丽.网络化制造环境下一种面向能力的制造资源模型[J].计算机工程. 2006,32(15):236-238.
[51]余强,张海盛,梁丽.基于能力的制造资源模型研究[J].工程设计学报.2006,13(1):13-20.
[52]屈喜龙.区域网络化制造系统中的资源及其建模的研究[J].计算机应用与软件. 2008,25(4):20-21.
[53]范菲雅,倪炎榕,袁晓等.网络化制造环境下基于语义Web的应用服务资源模型[J].计算机集成制造系统.2009,15(8):1507-1513.
[54]吕晓凤.基于数控设备的制造资源重构的研究[D].江苏:江苏大学,2010.
[55]王正成.网络化制造资源集成平台架构与运行方法研究[J].科技进步与对策,2010,27(5):64-69.
[56]王立峰.面向动态联盟的网络化制造协作平台及其关键技术研究[D].上海:上海交通大学,2007.
[57]高世文,郭宇,廖文和等.基于仿真优化的网络化制造资源规划技术[J].南京航天航空大学学报,2009,41(5):556-580.
[58] ARAZ C, MIZRAK O P, OZKARAHAN I. An Integrated Multicriteria Decision-making Methodology for Outsourcing Management[J]. Computers & Operations Research, 2007, 34(12): 3738-3756.
[59] YANG D H, KIM S, NAM C, et al. Developing a Decision Model for Business Process Outsourcing[J]. Computers & Operations Research, 2007, 34(12):3769 -3778.
[60] WADHWA V, RAVINDRAN A R. Vendor Selection in Outsourcing[J]. Computers and Operations Research, 2007, 34(12):3725- 3737.
[61] ALMEIDA A T. Multicriteria Decision Model for Outsourcing Contracts Selection Based on Utility Function and Electre Method[J]. Computers and Operations Research, 2007, 34(12):3569-3574.
[62] Liao Zhiying ,Rit t scher J . A Multi-objective Supplier Selection Model under Stochastic Demand Conditions[J]. International Journal of Production Economics, 2007 ,10 (5) :150-159.
[63] E. J. Wang, Chen Yenchun, Wang Wenshi et al. Analysis of outsourcing cost-effectiveness using a linear programming model with fuzzy multiple goals[J]. International Journal of Production Research, 2010,48(2):501-523.
[64] Ya-Ti Lin, Chia-Li Lin, Hsiao-Cheng Yu et al. A novel hybrid MCDM approach for outsourcing vendor selection: A case study for a semiconductor company in Taiwan[J]. Expert Systems with Applications, 2010, 7(37): 4796-4804.
[65]游佳,刘飞,尹超等.基于依赖的网络化制造动态联盟合作伙伴组合选择[J].中国机械工程,2007(8):1814-1818.
[66]胡长建,郑力,李志忠,张伯鹏.协作件加工合作伙伴匹配选择系统的研究[J].制造业自动化, 2003,9:38-42.
[67]毛宁,陈庆新,于兆勤,伍乃骐.寻求合作伙伴的定性搜索算法[J].计算机集成制造系统-CIMS, 2001,1:35-39.
[68] LIU Guanquan. Decision-making on Optimal Resource Allocation in Regional Virtual Enterprises Alliance Based on RST[J]. Computer Integrated Manufacturing Systems, 2007,13(11):2178-2183.
[69]刘汉生,金隼,王华.基于FAHP-TOPSIS的汽车协作件供应商综合能力评价[J].机械设计与制造, 2007,4:173-174.
[70] Ik Sun Lee, C.S. Sung. Minimizing due date related measures for a single machine scheduling problem with outsourcing allowed. European Journal of Operational Research[J]. 2008, 186(3):931-952.
[71] R.F. Tavares Neto , M. Godinho Filho. An ant colony optimization approach to a permutational flowshop scheduling problem with outsourcing allowed[J]. Computers and Operations Research, 2011, 38(9):1286-1293.
[72] Xiangtong Qi.Two-stage production scheduling with an option of outsourcing from a remote supplier[J]. Journal of Systems Science and Systems Engineering,2009,18(1):1-15.
[73] Xiangtong Qi.Outsourcing and production scheduling for a two-stage flow shop[J]. International Journal of Production Economics,2011,129(1):43-50.
[74] James J.H. Liou, Yu-Tai Chuang. Developing a hybrid multi-criteria model for selection of outsourcing providers[J]. Expert Systems with Applications, 2010 (37):3755-3761.
[75] Chan F. T. S, Kumar V, Tiwari M.K. The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling mode[J]. International Journal of Production Research, 2009, 47 (1):119-142.
[76] Young Hae Lee,Chan Seok Jeong ,Chiung Moon. Advanced planning and scheduling with outsourcing in manufacturing supply chain[J]. Computers and Industrial Engineering, 2002, 43 (2002): 351-374.
[77]孙卫红,冯毅雄.面向大规模定制的网络制造资源优化配置[J].南京理工大学学报(自然科学版),2010,34(2):238-242.
[78]尹超,李涛,刘飞等.网络化协作加工资源选择的决策框架模型及应用[J].机械工程学报,2009,45(6):211-217.
[79] Musheng Yang,Yu Zhang, Huilin Wang. Application and research on product quality intelligent collaborative control[J]. Intelligent Computing Technology and Automation, 2009 (2): 361-364.
[80]王国庆,王刚,吕民.基于ASP的网络化制造资源调度研究[J].机械设计与制造,2008,5:213-215.
[81]陶飞.制造网格资源服务优化配置理论与应用研究[D].武汉:武汉理工大学,2008.
[82]姚倡锋.复杂零件异地协同制造资源优化配置技术研究[D].西安:西北工业大学,2006.
[83] Indranil Bardhan, Jonathan Whitaker, Sunil Mithas. Information technology, production process outsourcing, and manufacturing plant performance[J]. Journal of Management Information Systems,2006,2(23):13-40.
[84] SUNG H. AHN, V. SUNDARARAJAN, CHARLES SMITH, et al. An Internet-based CAD/CAM System[J]. Journal of Computing and Information Science and Engineering,2001,1(1):52-59.
[85] Grefen Paul, Ludwig Heiko, Dan Asit, Angelov Samuil. An analysis of web services support for dynamic business process outsourcing[J]. Information and Software Technology, 2006, 11(48): 1115-1134.
[86] Amy J.C.Trappey,Tung-HungLu,Li-DienFu. Development of an intelligent agent system for collaborative mold production with RFID technology[J]. Robotics and Computer-Integrated Manufacturing , 2009 (25): 42–56.
[87]尹超,吕海涛,刘飞,李靓.摩托车零部件企业网络化协作加工支持系统[J].计算机集成制造系统,2009,15(2):369-376.
[88]雷琦,刘飞,王琦峰.基于语义的协同制造执行平台集成框架研究[J].中国机械工程,2008,19 (17): 2050-2054 .
[89]王景峰,王刚,吕民,高国安.基于产品结构的制造服务链构建研究[J].计算机集成制造系统, 2009,15(6):1222-1230.
[90]姚倡锋,张定华,卜昆,王增强.复杂零件协同制造任务信息模型及建模方法[J].计算机集成制造系统,2009,15(1):47-52.
[91]贺文锐,何卫平.基于Web Services的网络化制造资源管理的关键技术研究[J].计算机集成制造系统,2004,10(11):1382-1388.
[92]蔡铭,林兰芬,董金祥.网络化制造环境中制造服务智能匹配技术研究[J].计算机辅助设计与图形学学报,2004,16(8):1090-1096.
[93]谭伟,范玉顺.网络化制造环境下服务匹配与合成问题研究[J].计算机集成制造系统, 2005,11(10):1408-1413.
[94] ZHENG Xiaolin, XIAO Ying, CHEN Deren. Research of networked manufacturing system for specialized economic region[C]// The 8th International Conference on Computer Supported Cooperative Work in Design Proceedings Volume II, Piscataway, N.J., USA: IEEE, 2004:477-482.
[95]贾振元,卢晓红.面向应用服务提供商服务的区域网络化制造系统[J].计算机集成制造系统,2006,12(5): 709~714.
[96]郑小林,蔡铭,王正肖等.绍兴轻纺区域网络化制造系统研究[J].计算机集成制造系统,2004,10(12): 1551~1554.
[97] TAO Fei, HU Yefa, ZHOU Zude. Study on manufacturing grid & its resource service optimal-selection system[J]. International Journal of Advanced Manufacturing Technology, 2008, 37(9/10):1022-1041.
[98]孙海洋,俞涛,刘丽兰等.面向服务的制造网格系统研究[J].计算机集成制造系统, 2008, 14(1):56-63.
[99]石宇强,吴双.网格支持下的服务型制造模式研究[J].制造业自动化, 2009, 31(3):29-31.
[100]余强.网络化协同制造平台NCMPws若干关键技术研究[D].北京:中国科学院, 2006.
[101]董宝力,祁国宁,魏修亭.面向产品开发的网络化制造资源服务研究[J].浙江大学学报,2007,41(5):709-714.
[102]杨煜俊,陈新度,陈新等.网络化协同产品开发机理与模型研究[J].中国机械工程,2007,18(1):35-39.
[103]孙林夫.面向网络化制造的协同设计技术[J].计算机集成制造系统,2005,1(11):1-6.
[104]张杰,李原,张开富等.基于网格门户的产品异地协同设计平台[J].计算机集成制造系统,2007,12(13):2294-2300.
[105]唐树才,肖田元,赵银燕.基于资源管理联邦的复杂产品协同开发平台[J].计算机集成制造系统,2008,14(5):898-902.
[106]李惠林,谢庆生,殷国富.面向ASP平台的网络化制造资源应用服务研究[J].贵州工业大学学报(自然科学版),2004,33(5):67-70.
[107]周丹辰.面向网络化制造的资源共享服务平台构建原理与实施技术研究[D].成都:四川大学,2004.
[108]赖成瑜,王坚,凌卫青.网络化制造环境下资源分类方法研究[J].武汉科技大学学报(自然科学版),2006,29(1):44-47.
[109]郑立斌,顾寄南,代亚荣.基于本体的制造资源建模[J].机械设计与研究,2009,25(5):61-63.
[110]王正成.网络化制造资源形式化建模及实现[J].浙江理工大学学报,2009,26(5):705-709.
[111]李善平,尹奇棒,胡玉杰等.本体论研究综述[J].计算机研究与发展,2004,41(7):1041-1050.
[112] T R Gruber.A translation approach to portable ontology specifications[R].Stanford University , Tech Rep : Logic29221 , 1993.
[113] T R Gruber.Towards principles for the design of ontologies usedfor knowledge sharing [R].Stanford University , Tech Rep : KSL293204 , 1993.
[114] N Guarino. Formal ontology and information systems[C]//In: Proc of the 1st Int’1 Conf on Formal Ontology in Information Systems. Trento , Italy : IOS Press , 1998: 3-15.
[115] BLOMQVIST E, ?HGREN A.Constructing an enterprise ontology for an automotive supplier [J].Engineering Applications of Artificial Intelligence, 2008,21(3)V:386-397.
[116] HUANG Ning, DIAO Shihan. Ontology-Based Enterprise Knowledge Integration[J]. Robotics and Computer-Integrated Manufacturing,2008,4(24): 562-571.
[117] Rudi Studer, V. Richard Benjamins, Dieter Fensel.Knowledge Engineering: Principles and methods[J]. Data and Knowledge Engineering , 1998,25(l~2):161~197.
[118]王洪伟,吴家春,蒋馥.基于本体模型的信息检索机制研究[J].情报学报,2004(1):3-9.
[119]李景.本体理论及在农业文献检索系统中的应用研究[D].北京:中国科学院研究生院,2004.
[120]姜艺,潘燕华,葛世伦.知识表示及企业本体建模研究[J].计算机与现代化,2005(8):30-37.
[121]董坚峰,胡凤.基于OWL本体的知识表示研究[J].信息系统,2010,33(9):89-91.
[122] Stanford Medical Informatics at the Stanford University School of Medicine. What is Protégé-2000?[EB/OL]. http://protege.stanford.edu/doc/users_guide/index.html.2011-3-18
[123]孙瑾.本体编辑工具的分析与研究——Protégé2000对中文本体编辑的适用性探析[J].图书情报工作,2006,50(12):26-29.
[124] Sean Bechhofer,Frank van Harmelen,Jim Hendler et al.OWL Web Ontology Language Reference[EB/OL]. http://www.w3.org/TR/2004/REC-owl-ref-20040210/,2011-3-20
[125]宋炜,张铭.语义网简明教程[M].北京:高等教育出版社,2004:10-22,139-151.
[126] W3C. OWL Web Ontology Language Guide[EB/OL]. http://www.w3.org/TR/2004/ REC-owl-guide- 20040210/
[127]张开升,孙延明,郑时雄.基于OWL的分布式制造信息系统语义集成[J].中国机械工程,2008,19(1):58-60.
[128] SRINIVASAN N, PAOLUCCI M, SYCARA K. Adding OWL-S to UDDI, Implementation and Throughput[C]// Proceeding of Semantic Web Services and Web Process Composition: First International Workshop (SWSWPC), Berlin:Springer-Verlag ,2005:96-110.
[129]董蒙.用P2P技术以及语义扩展实现的分布式语义UDDI[D].济南:山东大学,2005.
[130] PAOLUCCI M, KAWAMYRA T, PAYNE T R, et al.Semantic Matching of Web Services Capabilities[C]// Proceedings of the First International Semantic Web Conference on the Semantic Web(ISWC). Seattle Washington, USA: Springer-Verlag, 2002: 333-347.
[131]袁庆霓,谢庆生,许明恒等.e-HUB系统中的服务匹配模型及算法设计[J].中国机械工程,2008,19(14):1703-1706.
[132]张喜征.资源池模式下虚拟企业信任治理模型及实例研究[J].中国软科学,2004,12:65-69.
[133]燕雪峰,李凤霞,战守义等.仿真网格资源共享池关键技术研究[J].计算机集成制造系统, 2005,8:1174-1190.
[134]刘冠权.基于粗糙集理论的区域虚拟企业资源优化决策[J].计算机集成制造系统, 2007, 13(11):2178-2183.
[135] CAO Q, WANG Q. Optimizing Vendor Selection in a Two-stage Outsourcing Process[J]. Computers and Operations Research, 2007, 34(12):3757-3768.
[136]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[J].中国机械工程, 2007, 18(10):1197-1200.
[137]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[J].东北大学学报(自然科学版), 2005, 26(5):474-477.
[138]苏静,吴海平.应用灰色理论模型预测环境空气质量变化趋势[J].污染防治技术.2010,23(4):11-12.
[139]韩涛.应用灰色关联分析法对水磨河水环境质量的评价分析[D].西安:西安建筑科技大学,2009.
[140]冯莉.基于灰色理论的金刚石木工刀具电火花磨削工艺参数研究[D].沈阳:东北林业大学,2008.
[141]罗庆成,徐国新.灰色关联分析与应用[M].南京:江苏科学技术出版社,1989
[142]张志和.B2B电子商务平台的可信性评估[D].浙江:浙江工业大学,2009
[143]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[J].系统工程与电子技术,2009,31(3):602-605.
[144]潘全科,朱剑英.多工艺路线的批量生产调度优化[J].机械工程学报,2004,40(4): 36-39.
[145]肖剑,但斌,张旭梅.供货商选择的双层规划模型及遗传算法求解[J].重庆大学学报(自然科学版),2007,30(6):155-158.
[146] ZHAO QING-ZHEN, FENG GUO-BI. Outsourcing partner selection of agricultural products manufacturing based on parallel genetic algorithm[J].Computer Engineering and Applications, 2009,45(1): 219-241.
[147]冯镜春,杨林建,遗传算法在机械工程方面的应用研究[J].煤矿机械, 2008,29(8):156-157.
[148]王凌.车间调度及其遗传算法[M].清华大学出版社,2003.
[149]王兮璐.煤化工多联产系统优化的遗传算法研究[D].西安:西安科技大学,2009.
[150]沈超.摩托车零部件制造企业集成化车间生产管理系统[D].重庆:重庆大学,2009.
[151]邵艳菊. SaaS服务模式中的主体研究[J].情报探索.2010,(7):92-94.
[152]陈婧,王伟军,桂学文.基于SaaS的中小企业信息化管理模式变革[J].图书馆学研究.2008,(8):98-101.
[153]王兴鹏,网学辉,代增辉.基于SaaS的中小企业信息化建设新模式[J].企业管理.2008,(4):48-50.
[154]中国软件网.SaaS模式将是中国软件厂商的明天?[EB/OL]. http://www.soft6.com/html/news/20/203368.shtml,2011-2-21
[155]林璇. SaaS关键技术研究[J].电脑知识与技术[J].2010,6(11):2647-2649.
[156] Seungseok Kang,Jaeseok Myung,Jongheum Yeon,Seong-wook Ha. A General Maturity Model and Reference Architecture for SaaS Service[J]. Computer Science,2010,299:337-346.
[157]耿冰,于修理. SaaS与传统软件的比较研究[J].沈阳师范大学学报.2009,27(1):84-86.
[158]赵立君,范晓晖.SaaS技术的发展和演进[J].现代电信科技.2007,(12):46-48.
[159] JU Jiehui1,YA,Wang,FU Jianqing. Research on key technology in SaaS[C]//.In: 2010International Conference on Intelligent Computing and Cognitive Informatics, Piscataway, N.J., USA:IEEE,2010:384-387.
[160]韩小明.浅谈SaaS的实现架构[J].软件世界. 2007,(5):91-91.
[161]曹薇,张乃洲.企业SaaS应用分析[J].计算机时代.2010,(2):63-67.
[162]翁晓奇,李妙旎.基于SaaS应用模式的企业信息化前景分析[J].硅谷.2009,(19):104-104.
[163]韦群锋.面向中小企业信息化的SaaS应用研究[J].商场现代化.2009,(7):26-26.
[164]鄢萍,刘飞等.网络化制造中的一种多功能信息交互终端[J].机械与电子, 2004,(5):3-4.
[165]刘飞,鄢萍,贺德强.网络化制造系统中的多功能交互式信息终端[P].中国专利:ZL02113585.1, 2003-10-22.
[166]吕海涛.摩托车零部件制造企业网络化外协加工管理系统[D].重庆:重庆大学,2008.
[167]华龙网.重庆对摩托车产业的支持力度全国最大[EB/OL]. http://cq.cqnews.net/jrzb/zslt/zy/ 200911/t20091128_3821614.htm,2009-11-28.
[168]杨林,谭晶宇,王含等.重庆市汽车(摩托车)及重大装备制造业科技问题研究[R].重庆:重庆市经济委员会,2004:70-91.
[2]路甬祥.团结奋斗开拓创新建设制造强国[J].机械工程学报,2003,39(1):1-8.
[3]刘德忠,费仁元,吴国蔚.制造工程组织学[M].北京:科学出版社, 2005.
[4]王兰美,袁清珂.21世纪制造业面临的挑战与对策[J].组合机床与自动化加工技术,1999,4:7-9.
[5]赵群,张翔,李青绵.国际金融危机影响下的我国制造业发展路径[J].现代制造工程,2010,(2):147-148.
[6]陈友良.对西方跨国公司全球扩张的几点思考[J].世界经济与政治,2001,5:17-20.
[7]搜狐科技.走向全球化--波音公司调整全球经营方[EB/OL].http://news.sohu.com /09/56/news213285609.shtml,2010-3-10.
[8]马春.波音787梦想飞机全球造[EB/OL]. http://www.istis.sh.cn/list/list.aspx?id =4416,2007-7-18.
[9]范玉顺.网络化制造的内涵与关键技术问题[J].计算机集成制造系统, 2003,9(7):576-577.
[10] Marsha Woodbury. National information infrastructure:Agenda for action[EB/OL].http://www. cpsr.org/program/nii/nii.html,2011-3-10.
[11]杨叔子,吴波,胡春华等.网络化制造与企业集成[J]中国机械工程, 2000(01):46-48.
[12]国家技术前瞻研究组.中国技术前瞻报告2004[R].北京:科学技术文献出版社, 2005,5.
[13]张蓬,刘昕.CPC预热“中国制造”升级潜力大过ERP[EB/OL]. http://www.soft6.com/tech /4/43202.html,2007-8-10.
[14]袁学军.垂直专业化分工与加工贸易的结构升级[J].商业时代,2009,26:28-30.
[15]沈蕾.论专业化分工与我国大企业的发展经济问题探索[J].经济问题探索,2004,7:4-6.
[16]王中华.中国参与国际垂直专业化分工的行业国际竞争力效应分析[J].经济问题探,2010,9:110-114.
[17]赵文丁.新型国际分工格局下中国制造业的比较优势[J].中国工业经济,2003,(8):32.
[18]来有为.“制造企业服务化”的发展路径和典型模式[EB/OL]. http://theory.people.com.cn/ GB/41038/8904047.html,2009-3-4.
[19]汪须忠,秦正富,麻德贤.B2B电子商务事例研究[J].计算机与应用化学,2004,21(4):577-582.
[20]中国信息产业网.2009第三方服务平台走向“深度应用”[EB/OL]. http://www.cnii.com.cn /index/content/2009-01/21/content_464652.htm, 2009,1,21.
[21]于海斌,朱云龙.协同制造—e时代的制造策略与解决方案[M].北京:清华大学出版社,2004.
[22] JIAN H Y, XU M L. The value of production outsourcing: a real options perspective[C]// Proceedings of 2006 International Conference on Management Science and Engineering. Piscataway, N.J., USA:IEEE, 2007:587-590.
[23]尹胜,尹超,刘飞,等.多任务协作加工资源优化配置模型及遗传算法求解[J].重庆大学学报, 2010,33(3):49-55
[24]中华机械网.航空业协作加工促加工厂快速发展[EB/OL]. http://news.machine365.com/ content/2007/0901/169787.html, 2007,9,1.
[25]中国机电出口指南.2010年我国机械工业产销超14万亿[EB/OL].http://mep128.mofcom. gov.cn/mep/xwzx/cyzx/285844.asp,2011-2-9
[26]刘飞,祁国宁,宁汝新等.先进制造系统及管理运作[R].国家自然科学基金委员会学科发展战略研究报告:《机械与制造科学》第15章,北京:科学出版社,2006.
[27]范玉顺,张立晴,刘博.网络化制造与制造网络[J].中国机械工程, 2004,19(15):1733-1738.
[28] M. Dotoli, M.P. Fanti, A. Giua et al. First-order hybrid Petri nets. An application to distributed manufacturing systems .Nonlinear Analysis: Hybrid Systems, 2008,2(2): 408-430
[29] Iwamura.K, Kuwahara.S, Tanimizu.Y, Sugimura.N .Real-time scheduling method considering human operators in autonomous distributed.Manufacturing systems[J].Manufacturing systems and thchnologies for the new frontier,2008,5:283-288.
[30] Yoram Koren, Moshe Shpitalni .Design of reconfigurable manufacturing systems[J] .Journal of Manufacturing Systems, ,2010,29(4): 130-141
[31]谢楠,李爱平,徐立云.可重组制造系统及其关键技术[J].同济大学学报自然科学版,2005,33(11): 1513-1517.
[32] Daniel Vázquez Bustelo, Lucía Avella. Agile manufacturing: Industrial case studies in Spain[J]. Technovation,2006,26(10):1147-1161
[33] R. Anthony Inman, R. Samuel Sale, Kenneth W. Green Jr et al. Agile manufacturing: Relation to JIT, operational performance and firm performance[J] .Journal of Operations Management, 2011,29(4):343-355.
[34]张曙.分散网络化制造[M].北京:北京机械工业出版社,1999.
[35]李健,刘飞.基于网络的先进制造技术[J].中国机械工程,2001,12(2):154-158.
[36]尹超.区域性网络化制造系统及其产品协同开发技术研究与应用[D].重庆:重庆大学,2002.
[37] Rzevski G. Framework for designing intelligent manufacturing systems[J].Computer in Industry,1997,34:211-219.
[38]王自强,冯博琴.智能制造系统的多模型研究[J].中国机械工程,2004,14(16):1390-1393.
[39] G.Berio,F.B.Vernadat.New developments inenterprise modeling using CIMOSA[J].Computers in Industry,40(1999):99-114.
[40] D.Xue,J.Sun,D.H.Norrie.An intelligent optimal production scheduling approach using constraint-based search and agent-based collaboration[J]. Computers in Industry.46 (2001): 209-231.
[41] J.Sun,D.Xue. A dynamic reactive scheduling mechanism for responding to changes of production orders and manufacturing resources[J]. Computer in Industry. 46(2001):187-207.
[42] M.K.Lim,Z.Zhang. A multi-agent based manufacturing control strategy for responsive manufacturing[J]. Journal of Materials Processing Technology,2003.
[43] Jay Steele,Young-Jun Son,Richard A Wysk. Resource modeling for the integration of the manufacturing enterprise[J]. Journal of Manufacturing Systems. 2001,19(6):407-427.
[44] A Molina,R Bell. A manufacturing model representation of a flexible manufacturing facility[J]. Journal of Engineering Manufacture, 1999,213(3):225-246
[45]郝京辉,孙树栋,沙全友.制造资源网络协同环境下广义制造能力资源模型研究[J].计算机应用研究. 2006,24(3):60-63.
[46]张玉云,吴瑞荣,田文生.制造系统资源建模与适应性工艺过程设计[J].计算机集成制造系统.1997(5):33-39.
[47]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[J].中国机械工程. 2000,11(7):780-783.
[48]宋玉银,褚秀萍,蔡复之.基于STEP的制造资源能力建模及其应用研究[J].计算机集成制造系统. 1999,5(4):46-50.
[49]郭宁,金天国,刘文剑.基于虚拟制造单元的制造资源组织模型[J].计算机集成制造系统. 2010,16(8):1649-1656.
[50]余强,张海盛,梁丽.网络化制造环境下一种面向能力的制造资源模型[J].计算机工程. 2006,32(15):236-238.
[51]余强,张海盛,梁丽.基于能力的制造资源模型研究[J].工程设计学报.2006,13(1):13-20.
[52]屈喜龙.区域网络化制造系统中的资源及其建模的研究[J].计算机应用与软件. 2008,25(4):20-21.
[53]范菲雅,倪炎榕,袁晓等.网络化制造环境下基于语义Web的应用服务资源模型[J].计算机集成制造系统.2009,15(8):1507-1513.
[54]吕晓凤.基于数控设备的制造资源重构的研究[D].江苏:江苏大学,2010.
[55]王正成.网络化制造资源集成平台架构与运行方法研究[J].科技进步与对策,2010,27(5):64-69.
[56]王立峰.面向动态联盟的网络化制造协作平台及其关键技术研究[D].上海:上海交通大学,2007.
[57]高世文,郭宇,廖文和等.基于仿真优化的网络化制造资源规划技术[J].南京航天航空大学学报,2009,41(5):556-580.
[58] ARAZ C, MIZRAK O P, OZKARAHAN I. An Integrated Multicriteria Decision-making Methodology for Outsourcing Management[J]. Computers & Operations Research, 2007, 34(12): 3738-3756.
[59] YANG D H, KIM S, NAM C, et al. Developing a Decision Model for Business Process Outsourcing[J]. Computers & Operations Research, 2007, 34(12):3769 -3778.
[60] WADHWA V, RAVINDRAN A R. Vendor Selection in Outsourcing[J]. Computers and Operations Research, 2007, 34(12):3725- 3737.
[61] ALMEIDA A T. Multicriteria Decision Model for Outsourcing Contracts Selection Based on Utility Function and Electre Method[J]. Computers and Operations Research, 2007, 34(12):3569-3574.
[62] Liao Zhiying ,Rit t scher J . A Multi-objective Supplier Selection Model under Stochastic Demand Conditions[J]. International Journal of Production Economics, 2007 ,10 (5) :150-159.
[63] E. J. Wang, Chen Yenchun, Wang Wenshi et al. Analysis of outsourcing cost-effectiveness using a linear programming model with fuzzy multiple goals[J]. International Journal of Production Research, 2010,48(2):501-523.
[64] Ya-Ti Lin, Chia-Li Lin, Hsiao-Cheng Yu et al. A novel hybrid MCDM approach for outsourcing vendor selection: A case study for a semiconductor company in Taiwan[J]. Expert Systems with Applications, 2010, 7(37): 4796-4804.
[65]游佳,刘飞,尹超等.基于依赖的网络化制造动态联盟合作伙伴组合选择[J].中国机械工程,2007(8):1814-1818.
[66]胡长建,郑力,李志忠,张伯鹏.协作件加工合作伙伴匹配选择系统的研究[J].制造业自动化, 2003,9:38-42.
[67]毛宁,陈庆新,于兆勤,伍乃骐.寻求合作伙伴的定性搜索算法[J].计算机集成制造系统-CIMS, 2001,1:35-39.
[68] LIU Guanquan. Decision-making on Optimal Resource Allocation in Regional Virtual Enterprises Alliance Based on RST[J]. Computer Integrated Manufacturing Systems, 2007,13(11):2178-2183.
[69]刘汉生,金隼,王华.基于FAHP-TOPSIS的汽车协作件供应商综合能力评价[J].机械设计与制造, 2007,4:173-174.
[70] Ik Sun Lee, C.S. Sung. Minimizing due date related measures for a single machine scheduling problem with outsourcing allowed. European Journal of Operational Research[J]. 2008, 186(3):931-952.
[71] R.F. Tavares Neto , M. Godinho Filho. An ant colony optimization approach to a permutational flowshop scheduling problem with outsourcing allowed[J]. Computers and Operations Research, 2011, 38(9):1286-1293.
[72] Xiangtong Qi.Two-stage production scheduling with an option of outsourcing from a remote supplier[J]. Journal of Systems Science and Systems Engineering,2009,18(1):1-15.
[73] Xiangtong Qi.Outsourcing and production scheduling for a two-stage flow shop[J]. International Journal of Production Economics,2011,129(1):43-50.
[74] James J.H. Liou, Yu-Tai Chuang. Developing a hybrid multi-criteria model for selection of outsourcing providers[J]. Expert Systems with Applications, 2010 (37):3755-3761.
[75] Chan F. T. S, Kumar V, Tiwari M.K. The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling mode[J]. International Journal of Production Research, 2009, 47 (1):119-142.
[76] Young Hae Lee,Chan Seok Jeong ,Chiung Moon. Advanced planning and scheduling with outsourcing in manufacturing supply chain[J]. Computers and Industrial Engineering, 2002, 43 (2002): 351-374.
[77]孙卫红,冯毅雄.面向大规模定制的网络制造资源优化配置[J].南京理工大学学报(自然科学版),2010,34(2):238-242.
[78]尹超,李涛,刘飞等.网络化协作加工资源选择的决策框架模型及应用[J].机械工程学报,2009,45(6):211-217.
[79] Musheng Yang,Yu Zhang, Huilin Wang. Application and research on product quality intelligent collaborative control[J]. Intelligent Computing Technology and Automation, 2009 (2): 361-364.
[80]王国庆,王刚,吕民.基于ASP的网络化制造资源调度研究[J].机械设计与制造,2008,5:213-215.
[81]陶飞.制造网格资源服务优化配置理论与应用研究[D].武汉:武汉理工大学,2008.
[82]姚倡锋.复杂零件异地协同制造资源优化配置技术研究[D].西安:西北工业大学,2006.
[83] Indranil Bardhan, Jonathan Whitaker, Sunil Mithas. Information technology, production process outsourcing, and manufacturing plant performance[J]. Journal of Management Information Systems,2006,2(23):13-40.
[84] SUNG H. AHN, V. SUNDARARAJAN, CHARLES SMITH, et al. An Internet-based CAD/CAM System[J]. Journal of Computing and Information Science and Engineering,2001,1(1):52-59.
[85] Grefen Paul, Ludwig Heiko, Dan Asit, Angelov Samuil. An analysis of web services support for dynamic business process outsourcing[J]. Information and Software Technology, 2006, 11(48): 1115-1134.
[86] Amy J.C.Trappey,Tung-HungLu,Li-DienFu. Development of an intelligent agent system for collaborative mold production with RFID technology[J]. Robotics and Computer-Integrated Manufacturing , 2009 (25): 42–56.
[87]尹超,吕海涛,刘飞,李靓.摩托车零部件企业网络化协作加工支持系统[J].计算机集成制造系统,2009,15(2):369-376.
[88]雷琦,刘飞,王琦峰.基于语义的协同制造执行平台集成框架研究[J].中国机械工程,2008,19 (17): 2050-2054 .
[89]王景峰,王刚,吕民,高国安.基于产品结构的制造服务链构建研究[J].计算机集成制造系统, 2009,15(6):1222-1230.
[90]姚倡锋,张定华,卜昆,王增强.复杂零件协同制造任务信息模型及建模方法[J].计算机集成制造系统,2009,15(1):47-52.
[91]贺文锐,何卫平.基于Web Services的网络化制造资源管理的关键技术研究[J].计算机集成制造系统,2004,10(11):1382-1388.
[92]蔡铭,林兰芬,董金祥.网络化制造环境中制造服务智能匹配技术研究[J].计算机辅助设计与图形学学报,2004,16(8):1090-1096.
[93]谭伟,范玉顺.网络化制造环境下服务匹配与合成问题研究[J].计算机集成制造系统, 2005,11(10):1408-1413.
[94] ZHENG Xiaolin, XIAO Ying, CHEN Deren. Research of networked manufacturing system for specialized economic region[C]// The 8th International Conference on Computer Supported Cooperative Work in Design Proceedings Volume II, Piscataway, N.J., USA: IEEE, 2004:477-482.
[95]贾振元,卢晓红.面向应用服务提供商服务的区域网络化制造系统[J].计算机集成制造系统,2006,12(5): 709~714.
[96]郑小林,蔡铭,王正肖等.绍兴轻纺区域网络化制造系统研究[J].计算机集成制造系统,2004,10(12): 1551~1554.
[97] TAO Fei, HU Yefa, ZHOU Zude. Study on manufacturing grid & its resource service optimal-selection system[J]. International Journal of Advanced Manufacturing Technology, 2008, 37(9/10):1022-1041.
[98]孙海洋,俞涛,刘丽兰等.面向服务的制造网格系统研究[J].计算机集成制造系统, 2008, 14(1):56-63.
[99]石宇强,吴双.网格支持下的服务型制造模式研究[J].制造业自动化, 2009, 31(3):29-31.
[100]余强.网络化协同制造平台NCMPws若干关键技术研究[D].北京:中国科学院, 2006.
[101]董宝力,祁国宁,魏修亭.面向产品开发的网络化制造资源服务研究[J].浙江大学学报,2007,41(5):709-714.
[102]杨煜俊,陈新度,陈新等.网络化协同产品开发机理与模型研究[J].中国机械工程,2007,18(1):35-39.
[103]孙林夫.面向网络化制造的协同设计技术[J].计算机集成制造系统,2005,1(11):1-6.
[104]张杰,李原,张开富等.基于网格门户的产品异地协同设计平台[J].计算机集成制造系统,2007,12(13):2294-2300.
[105]唐树才,肖田元,赵银燕.基于资源管理联邦的复杂产品协同开发平台[J].计算机集成制造系统,2008,14(5):898-902.
[106]李惠林,谢庆生,殷国富.面向ASP平台的网络化制造资源应用服务研究[J].贵州工业大学学报(自然科学版),2004,33(5):67-70.
[107]周丹辰.面向网络化制造的资源共享服务平台构建原理与实施技术研究[D].成都:四川大学,2004.
[108]赖成瑜,王坚,凌卫青.网络化制造环境下资源分类方法研究[J].武汉科技大学学报(自然科学版),2006,29(1):44-47.
[109]郑立斌,顾寄南,代亚荣.基于本体的制造资源建模[J].机械设计与研究,2009,25(5):61-63.
[110]王正成.网络化制造资源形式化建模及实现[J].浙江理工大学学报,2009,26(5):705-709.
[111]李善平,尹奇棒,胡玉杰等.本体论研究综述[J].计算机研究与发展,2004,41(7):1041-1050.
[112] T R Gruber.A translation approach to portable ontology specifications[R].Stanford University , Tech Rep : Logic29221 , 1993.
[113] T R Gruber.Towards principles for the design of ontologies usedfor knowledge sharing [R].Stanford University , Tech Rep : KSL293204 , 1993.
[114] N Guarino. Formal ontology and information systems[C]//In: Proc of the 1st Int’1 Conf on Formal Ontology in Information Systems. Trento , Italy : IOS Press , 1998: 3-15.
[115] BLOMQVIST E, ?HGREN A.Constructing an enterprise ontology for an automotive supplier [J].Engineering Applications of Artificial Intelligence, 2008,21(3)V:386-397.
[116] HUANG Ning, DIAO Shihan. Ontology-Based Enterprise Knowledge Integration[J]. Robotics and Computer-Integrated Manufacturing,2008,4(24): 562-571.
[117] Rudi Studer, V. Richard Benjamins, Dieter Fensel.Knowledge Engineering: Principles and methods[J]. Data and Knowledge Engineering , 1998,25(l~2):161~197.
[118]王洪伟,吴家春,蒋馥.基于本体模型的信息检索机制研究[J].情报学报,2004(1):3-9.
[119]李景.本体理论及在农业文献检索系统中的应用研究[D].北京:中国科学院研究生院,2004.
[120]姜艺,潘燕华,葛世伦.知识表示及企业本体建模研究[J].计算机与现代化,2005(8):30-37.
[121]董坚峰,胡凤.基于OWL本体的知识表示研究[J].信息系统,2010,33(9):89-91.
[122] Stanford Medical Informatics at the Stanford University School of Medicine. What is Protégé-2000?[EB/OL]. http://protege.stanford.edu/doc/users_guide/index.html.2011-3-18
[123]孙瑾.本体编辑工具的分析与研究——Protégé2000对中文本体编辑的适用性探析[J].图书情报工作,2006,50(12):26-29.
[124] Sean Bechhofer,Frank van Harmelen,Jim Hendler et al.OWL Web Ontology Language Reference[EB/OL]. http://www.w3.org/TR/2004/REC-owl-ref-20040210/,2011-3-20
[125]宋炜,张铭.语义网简明教程[M].北京:高等教育出版社,2004:10-22,139-151.
[126] W3C. OWL Web Ontology Language Guide[EB/OL]. http://www.w3.org/TR/2004/ REC-owl-guide- 20040210/
[127]张开升,孙延明,郑时雄.基于OWL的分布式制造信息系统语义集成[J].中国机械工程,2008,19(1):58-60.
[128] SRINIVASAN N, PAOLUCCI M, SYCARA K. Adding OWL-S to UDDI, Implementation and Throughput[C]// Proceeding of Semantic Web Services and Web Process Composition: First International Workshop (SWSWPC), Berlin:Springer-Verlag ,2005:96-110.
[129]董蒙.用P2P技术以及语义扩展实现的分布式语义UDDI[D].济南:山东大学,2005.
[130] PAOLUCCI M, KAWAMYRA T, PAYNE T R, et al.Semantic Matching of Web Services Capabilities[C]// Proceedings of the First International Semantic Web Conference on the Semantic Web(ISWC). Seattle Washington, USA: Springer-Verlag, 2002: 333-347.
[131]袁庆霓,谢庆生,许明恒等.e-HUB系统中的服务匹配模型及算法设计[J].中国机械工程,2008,19(14):1703-1706.
[132]张喜征.资源池模式下虚拟企业信任治理模型及实例研究[J].中国软科学,2004,12:65-69.
[133]燕雪峰,李凤霞,战守义等.仿真网格资源共享池关键技术研究[J].计算机集成制造系统, 2005,8:1174-1190.
[134]刘冠权.基于粗糙集理论的区域虚拟企业资源优化决策[J].计算机集成制造系统, 2007, 13(11):2178-2183.
[135] CAO Q, WANG Q. Optimizing Vendor Selection in a Two-stage Outsourcing Process[J]. Computers and Operations Research, 2007, 34(12):3757-3768.
[136]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[J].中国机械工程, 2007, 18(10):1197-1200.
[137]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[J].东北大学学报(自然科学版), 2005, 26(5):474-477.
[138]苏静,吴海平.应用灰色理论模型预测环境空气质量变化趋势[J].污染防治技术.2010,23(4):11-12.
[139]韩涛.应用灰色关联分析法对水磨河水环境质量的评价分析[D].西安:西安建筑科技大学,2009.
[140]冯莉.基于灰色理论的金刚石木工刀具电火花磨削工艺参数研究[D].沈阳:东北林业大学,2008.
[141]罗庆成,徐国新.灰色关联分析与应用[M].南京:江苏科学技术出版社,1989
[142]张志和.B2B电子商务平台的可信性评估[D].浙江:浙江工业大学,2009
[143]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[J].系统工程与电子技术,2009,31(3):602-605.
[144]潘全科,朱剑英.多工艺路线的批量生产调度优化[J].机械工程学报,2004,40(4): 36-39.
[145]肖剑,但斌,张旭梅.供货商选择的双层规划模型及遗传算法求解[J].重庆大学学报(自然科学版),2007,30(6):155-158.
[146] ZHAO QING-ZHEN, FENG GUO-BI. Outsourcing partner selection of agricultural products manufacturing based on parallel genetic algorithm[J].Computer Engineering and Applications, 2009,45(1): 219-241.
[147]冯镜春,杨林建,遗传算法在机械工程方面的应用研究[J].煤矿机械, 2008,29(8):156-157.
[148]王凌.车间调度及其遗传算法[M].清华大学出版社,2003.
[149]王兮璐.煤化工多联产系统优化的遗传算法研究[D].西安:西安科技大学,2009.
[150]沈超.摩托车零部件制造企业集成化车间生产管理系统[D].重庆:重庆大学,2009.
[151]邵艳菊. SaaS服务模式中的主体研究[J].情报探索.2010,(7):92-94.
[152]陈婧,王伟军,桂学文.基于SaaS的中小企业信息化管理模式变革[J].图书馆学研究.2008,(8):98-101.
[153]王兴鹏,网学辉,代增辉.基于SaaS的中小企业信息化建设新模式[J].企业管理.2008,(4):48-50.
[154]中国软件网.SaaS模式将是中国软件厂商的明天?[EB/OL]. http://www.soft6.com/html/news/20/203368.shtml,2011-2-21
[155]林璇. SaaS关键技术研究[J].电脑知识与技术[J].2010,6(11):2647-2649.
[156] Seungseok Kang,Jaeseok Myung,Jongheum Yeon,Seong-wook Ha. A General Maturity Model and Reference Architecture for SaaS Service[J]. Computer Science,2010,299:337-346.
[157]耿冰,于修理. SaaS与传统软件的比较研究[J].沈阳师范大学学报.2009,27(1):84-86.
[158]赵立君,范晓晖.SaaS技术的发展和演进[J].现代电信科技.2007,(12):46-48.
[159] JU Jiehui1,YA,Wang,FU Jianqing. Research on key technology in SaaS[C]//.In: 2010International Conference on Intelligent Computing and Cognitive Informatics, Piscataway, N.J., USA:IEEE,2010:384-387.
[160]韩小明.浅谈SaaS的实现架构[J].软件世界. 2007,(5):91-91.
[161]曹薇,张乃洲.企业SaaS应用分析[J].计算机时代.2010,(2):63-67.
[162]翁晓奇,李妙旎.基于SaaS应用模式的企业信息化前景分析[J].硅谷.2009,(19):104-104.
[163]韦群锋.面向中小企业信息化的SaaS应用研究[J].商场现代化.2009,(7):26-26.
[164]鄢萍,刘飞等.网络化制造中的一种多功能信息交互终端[J].机械与电子, 2004,(5):3-4.
[165]刘飞,鄢萍,贺德强.网络化制造系统中的多功能交互式信息终端[P].中国专利:ZL02113585.1, 2003-10-22.
[166]吕海涛.摩托车零部件制造企业网络化外协加工管理系统[D].重庆:重庆大学,2008.
[167]华龙网.重庆对摩托车产业的支持力度全国最大[EB/OL]. http://cq.cqnews.net/jrzb/zslt/zy/ 200911/t20091128_3821614.htm,2009-11-28.
[168]杨林,谭晶宇,王含等.重庆市汽车(摩托车)及重大装备制造业科技问题研究[R].重庆:重庆市经济委员会,2004:70-91.
© 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 |