机电设备售后维护服务的网络协同商务模式及其关键技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
机电设备是企业进行生产的物质基础。随着设备向着大型化、高速化、机电一体化及结构复杂化等方向发展,设备制造技术和维护技术变得日益复杂,设备维护所需的信息、技术、人力、物力、财力等资源要求增加,企业完全拥有这些资源的难度增大,使得传统的设备售后由制造商维护(售后维护服务)、设备用户自维护或外包给单一维护商维护等做法难以实现高水平的设备维护服务。为此,本文根据计算机、网络通讯、信号检测和故障诊断等技术的发展现状,基于网络协同思想,在分析远程维护、智能维护等维护模式的基础上,提出了机电设备售后维护服务的网络协同商务模式,建立了机电设备售后维护服务的决策支持模型和备件的协同采购模型,设计了面向机电设备售后维护服务的网络协同商务系统软件原型系统。具体的研究工作如下:
     ①在分析机电设备售后维护服务的商务模式转变基础上,提出机电设备售后维护服务的网络协同商务模式,并研究在协同商务模式下机电设备售后维护服务的业务协作、信息交换、知识增长、价值增值、协同赢利、利润分配等模式。
     ②分析协同商务模式下机电设备售后维护服务的决策要素,建立维护服务的群体决策流程;基于可靠性和维修性理论,以设备使用寿命内总收益最大化为目标,维护周期和维护时间为优化变量,建立了寿命型机电设备售后变周期预防维护服务的维护周期策略模型和维护时间策略模型,并通过算例分析寿命型机电设备的维护策略变化;建立机电设备售后维护服务备件供应商的评价指标体系和模糊综合评价模型,实例分析备件供应商的选择机制。
     ③分析机电设备售后维护服务的备件采购特点和备件采购模式转变,建立机电设备售后状态维护服务的备件需求模型和采购策略模型,建立等周期预防维护服务和变周期预防维护服务下寿命型机电设备的备件需求模型和采购策略模型,并对等周期预防维护服务的备件采购策略模型采用Visual Fortran仿真计算求解最优的采购策略;提出机电设备售后维护服务的两种协同采购模式并建立其采购模型。
     ④根据机电设备售后维护服务网络协同商务模式的特点,分析该维护服务模式的主要支撑技术,包括网络安全、网络通讯、信号检测、故障诊断等技术和协同商务系统平台——面向机电设备售后维护服务的网络协同商务系统,并分析该协同商务系统的商务模式,设计了该协同商务系统的总体结构、功能结构。
Electromechanical equipment is the material basis of enterprise production. With the development of equipment to be large-scale, high-speed, electromechanical integration and structure-complication, the technologies of equipment’s manufacturing and maintenance have become increasingly complicated, and the demand of equipment maintenance for resources, such as information, technology, manpower, material and finance, has been increasing, which makes it difficult for individual enterprise to have all these resources, and it hard to achieve a high level of equipment maintenance service through the traditional after-sale maintenance mode, such as the modes of equipment maintained by manufacturers, user or a single contractor. Therefore, in this thesis, in accordance with the status of the technology development of computer, network communications, signal detection and fault diagnosis, based on the thought of web-based collaboration, and based on the analysis of remote maintenance and intelligent e-maintenance, a web-based collaborative business mode for electromechanical equipment’s after-sale maintenance service was proposed and studied, some decision support models and the collaborative purchasing model of spare parts for electromechanical equipment’s after-sale maintenance service were established, and a web-based collaborative commerce platform for electromechanical equipment’s after-sale maintenance service was designed. Specific research work is as follows:
     ①Based on analyzing the business mode change of electromechanical equipment’s after-sale maintenance service, a web-based collaborative business mode for electromechanical equipment’s after-sale maintenance service was proposed, and the modes of business cooperation, information exchange, knowledge growth, value-adding, co-profit, profit distribution of electromechanical equipment’s after-sale maintenance service under collaborative business mode were studied.
     ②Through analyzing of the decision-making elements of the electromechanical equipment’s after-sale maintenance service under collaborative business mode, the group decision-making process of maintenance service was established; based on the theory of reliability and maintainability, take it for the optimization goal to maximize the total revenue in equipment service life, maintenance period and maintenance time for the optimization variables, The models of maintenance period and maintenance time for life-type electromechanical equipment’s after-sale pre-maintenance with changing maintenance periods were established, and the change of pre-maintenance strategy was analyzed; the evaluation index system and fuzzy comprehensive evaluation model of the spare parts suppliers for electromechanical equipment’s after-sale maintenance service were established, and the selection mechanism of spare parts suppliers was analyzed.
     ③Through analyzing the characteristics and the mode change of spare parts purchasing in electromechanical equipment’s after-sale maintenance service, the demand model and purchasing model of electromechanical equipment’s spare parts in condition based maintenance service were established, the demand model and purchasing model of life-type electromechanical equipment’s spare parts in pre-maintenance service with equivalent period and changing period were established, and using Visual Fortran emulation program to calculate the optimal purchasing strategy of spare parts in equivalent period pre-maintenance service; two kinds of collaborative purchasing modes in electromechanical equipment’s after-sale maintenance service were proposed and their models were established.
     ④According to the characteristic of collaborative business mode of electromechanical equipment’s after-sale maintenance service, the enabling technologies of this maintenance service were analyzed, including the technologies of network security, network communication, signal detection, fault diagnosis and a collaborative business platform named web-based collaborative business system of electromechanical equipment’s after-sale maintenance service, the mode of collaborative business system was analyzed, and the structural framework and functional structure of this system was designed in detail.
引文
[1]蔡仁志.浅析房地产服务[J].合作经济与科技, 2005, 6.
    [2]佚名.光明日报[N], 1987,10,19.
    [3] EI-Houssaine Aghezzaf, Najib M. Najid. Integrated production planning and preventive maintenance in deteriorating production systems[J]. Information Sciences, 2008,178(17): 3382-3392.
    [4] Yu-Hung Chien. A number-dependent replacement policy for a system with continuous preventive maintenance and random lead times[J]. Applied Mathematical Modelling, 2008, 33(3): 1708-1718.
    [5] Michael Bartholomew-Biggs, Ming J. Zuo, Xiaohu Li. Modelling and optimizing sequential imperfect preventive maintenance[J]. Reliability Engineering & System Safety, 2008, 94(1): 53-62.
    [6] Ricky Smith, R. Keith Mobley. Preventive Maintenance Program[J]. Rules of Thumb for Maintenance and Reliability Engineers, 2008, (2):37-45.
    [7] Seong-Jong Joo. Scheduling preventive maintenance for modular designed components: A dynamic approach[J]. European Journal of Operational Research, 2007, 192(2): 512-520.
    [8]蔡景,左洪福,王华伟.多部件系统的预防性维修优化模型研究[J].系统工程理论与实践, 2007, (2):133-138.
    [9]应保胜,但斌斌,张华.生产计划和预防性维修计划的统筹优化模型[J].机械工程学报, 2005, 41(3): 226-228.
    [10]周晓军,奚立峰,李杰.一种基于可靠性的设备顺序预防性维护模型[J].上海交通大学学报, 2005, 39(12): 2044-2047.
    [11]奚立峰,周晓军,李杰.有限区间内设备顺序预防性维护策略研究[J].计算机集成制造系统, 2005, 11(10): 1065-1068.
    [12]何庆.预防维修周期的数学模型[J].农业机械学报, 2005, 36(2): 153-154.
    [13]刘龙飞.预知维修在机电设备管理中的应用[J].矿山机械, 2007, 35(11): 18-20.
    [14]白世贞.机电设备预知维修与故障诊断系统设计[J].汽轮机技术,2006,48(5): 389-392.
    [15] B.S. Rajan, B.J. Roylance. Condition based maintenance—the benefits of counting the cost[J]. Tribology Series, 1998, (34): 443-452.
    [16] B. Castanier, A. Grall, C. Bérenguer. A condition-based maintenance policy with non -periodic inspections for a two-unit series system[J]. Reliability Engineering & System Safety, 2005, 87(1): 109-120.
    [17] Dongyan Chen, Kishor S. Trivedi. Optimization for condition-based maintenance with semi-Markov decision process [J]. Reliability Engineering & System Safety, 2005, 90(1): 25-29.
    [18] W. Klingenberg, T.W. de Boer. Condition-based maintenance in punching/blanking of sheet metal[J]. International Journal of Machine Tools and Manufacture, 2008, 48(5):589-598.
    [19] Yongjin (James) Kwon, Richard Chiou. Remote, condition-based maintenance for web -enabled robotic system [J]. Robotics and Computer-Integrated Manufacturing, 2008.(5):1-8.
    [20]叶林,于新杰.机械设备现代维修技术——状态维修[J].机械科学与技术, 1999,18(3): 457-458.
    [21]王英,王文彬,方淑芬,吕文元.状态维修两阶段预知模型研究[J].哈尔滨工程大学学报, 2007, 28(11): 1278-1281.
    [22] British Standard(3811). Glossary of terms used in terotechnology[M]. 1993.
    [23]朴昌根.系统学基础[M].上海:上海辞书出版社, 2005.
    [24]哈肯著,张纪岳,郭治安译.协同学导论[M].西安:西安交通大学出版社,1981.
    [25]刘永.电子商务从电子协作开始[EB/OL]. http://www.amteam.org/, 2001.11.14.
    [26]孙广明.全国“售后服务先进单位”评选揭晓春兰服务再获褒奖[J].商品与质量, 2008. (10):9-9.
    [27]佚名.我国机电产品在马耳他售后服务情况[EB/OL]. http/www.mofcom.gov.cn, 2003.
    [28]宋宁.蓝牌协议售后服务新模式[J].物流技术与应用(货运车辆), 2007, (5): 71-72.
    [29]李亚,范黎林,孙林夫.基于B /S模式的汽车售后服务管理系统的设计和实现[J].计算机应用研究,2006,(2):146-148.
    [30]赵丽萍,张兴瑞.基于Multi- Agent的敏捷售后服务系统研究[J],计算机集成制造系统, 2004. 10(6):684-688.
    [31]谢强,周良,丁秋林.基于Web的产品售后服务研究[J].计算机应用研究,2002, 24-26.
    [32]仝勖峰,王东勃,朱名铨.基于网络的智能化售后服务系统[J],计算机工程与应用,2003.(19):221-223.
    [33]马会钧,柴新建,顾银晓等.面向制造企业的售后服务协同管理集成平台的研究与实现[J].中国机械工程, 2006,17(12):1253-1256.
    [34] CHEN X H,Sheng T W, YI S P. Probe on Multi-Agents Collaborative Commerce System Embedded with E-Maintenance[J]. Applied Mechanics and Materials, 2008,10(12).
    [35]盛天文,陈晓慧,易树平.嵌入智能E维护的多Agent协同商务系统[J].重庆大学学报(自然科学版). 2008,(4): :371-375.
    [36]盛天文,陈晓慧,易树平.面向设备E维护的网络群体决策支持系统研究[J].西南大学学报(自然科学版).2008,(3): 146-151.
    [37] Eugene Levner, Dror Zuckerman, Gavriel Meirovich. Total quality management of a production-maintenance system: A network approach[J]. International Journal of Production Economics, 1998,(56-57):404-421.
    [38] Godot A., Villard P., Savournin A. Implementation of a computerized maintenance management system[J]. Computer Standards & Interfaces, 1999,20(6):427.
    [39] Hossam A. Gabbar, Hiroyuki Yamashita, Kazuhiko Suzuki. Computer-aided RCM-based plant maintenance management system[J]. Robotics and Computer-Integrated Manufacturing, 2003, 19(5): 449-458.
    [40] Ted Cohen, Nicholas Cram. Computerized Maintenance Management Systems[J]. Clinical Engineering Handbook, 2004, p124-130.
    [41] Shozo Takata, Yuu Inoue, Takehisa Kohda, et al. Maintenance Data Management System[J]. CIRP Annals - Manufacturing Technology, 1999, 48(1):389-392.
    [42] Anthony Kelly. Introduction to maintenance management systems[J]. Plant Maintenance Management Set, 2006, p33-37.
    [43] C.D. O’Donoghue, J.G. Prendergast. Implementation and benefits of introducing a computerised maintenance management system into a textile manufacturing company[J]. Journal of Materials Processing Technology, 2004, (153-154): 226-232.
    [44]魏仁干,逯岩.中国汽车售后服务的三种创新模式[J].营销之道, 2005, 57-58.
    [45]郑红,张振业.我国家电行业售后服务新模式初探[J].家电科技, 2006, (7):81-84.
    [46] Croston J D. Forecasting and stock control for intermittent demands[J]. Operational Research Quarterly, 1972, 23(3): 289-303.
    [47] Croston J D. Stock level for slow-moving items[J]. Operational Research Quarterly, 1974, 25(1):123-130.
    [48]姜仁峰,卢兵.实用预测技术[M].哈尔滨:哈尔滨船舶工程学院出版社, 1993.
    [49] Hua Z S, Zhang B, Yang J, et al. A new approach of forecasting intermittent demand for spare parts inventories in the process industries[J]. Journal of the Operational Research Society, 2006, 57:889-898.
    [50] Thomas R. Willemain, Charles N. Smart, Henry F. Schwarz. A new approach to forecasting intermittent demand for service parts inventories [J]. International Journal of Forecasting, 2004, 20:375-387.
    [51] Ghobbar A A, Friend C H. Evaluation of forecasting methods for intermittent parts demand in the field of aviation: A predictive model[J]. Computers & Operations Research, 2003, 30: 2097-2114.
    [52] Willemain T R, Smart C N, Schwarz H F. A new approach to forecasting intermittent demandfor service parts inventories[J]. International Journal of Forecasting, 2004, 20: 375-387.
    [53] R. Dekker, M.J. Kleijn, P.J. de Rooij. A spare parts stocking policy based on equipment criticality[J]. International journal of production economics, 1998 (56-57): 69-77.
    [54]司书宾,孙树栋,蔡志强.基于供应成本的维修备件协同库存控制模型及其算法研究[J].西北工业大学学报, 2006, 24(5): 662-666.
    [55]钱才富,姜忠军,沈均等.大型连续性生产装置备件的合理化库存[J].北京化工大学学报, 2005, 32(4): 97-99.
    [56]崔南方,丁留明.基于零件寿命函数的慢速流动备件库存模型[J].系统工程, 2006, 24(9): 24-31.
    [57]王正元,宋建社,何志德等.一种备件多级库存系统的仿真优化模型[J].系统仿真学报, 2007,19(5):1003-1006.
    [58]徐晓燕.一种基于需求特性分类的备件库存管理方法及其实证研究[J].系统工程理论与实践, 2006, (2): 62-67.
    [59] Timothy S. Vaughan. Failure replacement and preventive maintenance spare parts ordering policy[J]. European Journal of Operational Research, 2005, (161):183-190.
    [60]杨宇航,赵建民,郑力等.备件管理系统仿真研究[J].系统仿真学报,2004,16(5):981-986.
    [61]李波,杨灿军,陈鹰.基于合作对策的行业联合采购费用分摊研究[J].系统工程理论与实践, 2003, (11): 65-70.
    [62]吕柳,陈积敏.中小企业联合采购模式指标的选择[J].南京林业大学学报, 2007,7(3): 83-88.
    [63]佚名.全球协同商务发展现状及趋势[EB/OL]. http://www.amteam.org/k/KM/2005-6/496262.html, 2005.5.8
    [64] http://www.ibm.com/products/cn/zh/
    [65]朱山涛.财务软件转型ERP热潮中的冷思考[N].中国财经报, 2002.6.21.
    [66]佚名.竞开协同之星——实现敏捷组织的协同管理工具[EB/OL]. http://www.dianji.com/GKstar.html.
    [67]佚名.我国第一个协同软件博士后工作站在协达设立[EB/OL]. http://www.ctop.cn/2008/1-25/103452.html.
    [68]佚名.泛微协同管理应用平台(e-cology)[EB/OL]. http://www.weaver.com.cn/, 2001.
    [69]郑佳.协同商务[EB/OL].http://oa.chinawisesoft.com/viewnews.jsp?newsid=473, 2005.5.24.
    [70] Steven J. Web Service: Beyond the Hype[J]. IEEE Computer, 2002, 2:18-21.
    [71]张培吉.企业为什么需要协同产品商务[J].企业信息化, 2002, (7): 57-59.
    [72]周涛.企业协同商务研究[D].华中师范大学硕士学位论文, 2004.3.
    [73]梅益.网络协同商务链的理论与方法研究[D].浙江大学博士学位论文,2001.12.
    [74] Thomas B. Hodel-Widmer , Klaus R. Dittrich. Concept and prototype of a collaborative business process environment for document processing[J]. Data & Knowledge Engineering, 2005, (52): 61-120.
    [75]熊励,陈子辰.网络协同商务链的主体模型研究[J].计算机集成制造系统, 2004, 10(9): 1036-1039.
    [76] Satwik Seshasai, Amar Gupta , Ashwani Kumar. An integrated and collaborative framework for business design: A knowledge engineering approach[J]. Data & Knowledge Engineering, (52): 157-179.
    [77]熊励,顾新建,陈子辰.网络协同商务链的系统论方法研究[J],系统工程理论与实践, 2001, (12): 99-103.
    [78]张飞,陈子辰,熊励,梅益.网络协同商务链的系统和谐性研究[J].中国机械工程, 2003, 14(14): 1208-1210.
    [79] Alessio Bechini, Mario G.C.A. Cimino, Francesco Marcelloni, et al. Patterns and technologies for enabling supply chain traceability through collaborative e-business[J]. Information and Software Technology, 2008,(50):342-359.
    [80]唐业,张申生,李磊.协同商务与设计环境中的安全体系与技术研究[J].计算机集成制造系统, 2005, 11(1):294-300.
    [81]周克江.基于移动Agent的协同电子商务安全认证机制[J].计算机工程, 2007, 33(9): 163-164.
    [82]鲁仁魁.协同产品商务中工作流管理技术的研究[J].计算机应用研究, 2003,(11):22-25.
    [83]杨善林,李宏艳.合肥工业大学学报(自然科学版) [J].合肥工业大学学报(自然科学版), 2004.27(1):1-4.
    [84]吕慧颖,曹元大,刘玉龙.协同商务环境中的主观信任模型研究[J].计算机集成制造系统, 2007, 13(8): 1545-1551.
    [85]张飞,陈子辰,熊励.网络协同商务链的和谐监控机制[J].浙江大学学报(工学版), 2005, 39(3):330-333.
    [86]陈嶷.基于多主体的协同商务的协调机制研究[D].浙江:浙江大学硕士学位论文, 2003.2.
    [87]马智亮,姚俊淦,江见鲸.电子商务环境下城市道路管理协同工作模型[J].清华大学学报(自然科学版), 42(6): 851-854.
    [88]戢守峰,杜晓璐,黄小原.协同商务下分销系统紧急补货模型与分析[J].东北大学学报(自然科学版), 2007, 28(5): 753-756.
    [89]马文杰,王海洋,李庆忠.一种基于工作流和数据仓库的银行协同电子商务系统[J].计算机集成制造系统, 2003, 9(专刊): 172-177.
    [90]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[J].计算机集成制造系统, 2006.12(5):745-751.
    [91]朱文峰,来新民,王皓等.汽车企业协同产品商务[J].汽车工程, 2004, 26(2):246-249.
    [92]杨士芳.面向售后服务的协同商务应用研究.重庆大学硕士学位论文, 2006.6
    [93]李仁旺,祁国宁,周济.协同产品商务及其实施策略研究.计算机集成制造系统,, 2001.7(6):35-38.
    [94]王玉.论企业协同知识管理的“软硬”两手抓策略.集团经济研究, 2006.7(201):88-89.
    [95] E. Tada, S. Kakudate, K. Oka, et al. Development of remote maintenance equipment for ITER blankets[J]. Fusion Engineering and Design[J], 1998, (42): 463-471.
    [96] Shuang Hua Yang, Chengwei Dai, Roger P. Knott. Remote maintenance of control system performance over the Internet[J]. Control Engineering Practice, 2007, (15): 533-544.
    [97] Alessandro Persona, Alberto Regattieri, Hoang Pham,et al. Remote control and maintenance outsourcing networks and its applications in supply chain management[J]. Journal of Operations Management, 2007, (25):1275-1291.
    [98]吕琛,宋希庚,邹积斌.基于Web的远程设备状态监测与交互式维护[J].振动与冲击, 2002, 21(3): 56-60.
    [99]夏友斌.基于远程桌面的厂站自动化系统远程维护[J].电力系统自动化, 2007, 31(23): 113-115.
    [100]楼佩煌,戴勇.基于Internet的远程故障诊断与维修向导系统研究[J].中国机械工程, 2002, (2): 143-146.
    [101]刘英姿.实施发动机远程监测提高运营及维修效率[J].航空工程与维修, 2002, (1):36-37.
    [102]张金玉,张优云,王汉功.远程诊断与远程维修中的安全技术[J].计算机工程, 2008, 28(2): 168-169.
    [103]张永祥,明廷锋,张晓峰.舰船机电设备网络监测与远程诊断技术[J].中国造船, 2005, 46(3): 68-72.
    [104]王强,段晨东,何正嘉.机电设备远程监测和故障诊断系统的数据管理[J].计算机工程与应用, 2004, (9):208-211.
    [105] M. Mori, M. Fujishima, M. Komatsu, et al. Development of remote monitoring and maintenance system for machine tools[J]. Development of remote monitoring and maintenance system for machine tools, 2008, 57(1): 433-436.
    [106] Yongjin (James) Kwon, Richard Chiou. Remote, condition-based maintenance for web-enabled robotic system[J]. Robotics and Computer-Integrated Manufacturing, 2008, 4.1.
    [107] Massimo Concetti, Roberto Cuccioletta, Lorenzo Fedele, Giampiero Mercuri. Tele-maintenance“intelligent”system for technical plants result management[J]. ReliabilityEngineering & System Safety, 2007, 3.28.
    [108] E.Garcia, H.Guyennet, J.C.Lapayre, et al. A new industrial cooperative tele-maintenance platform[J]. 2004, (46):851-864.
    [109] Lee J, Kramer B M. Analysis of Machine Degradation using a Neural Networks Based Pattern Discrimination Model. J. Manufacturing Systems. 1992, 12(3): 379-387.
    [110] Lee J. Measurement of machine performance degradation using a neural network model. Journal of Computers in Industry.1996, (30):193-213.
    [111]杨浩.现代企业理论教程[M].上海:上海财经大学出版社, 2001.9
    [112] Nonaka I. A dynamic theory of organizational knowledge creation[J]. Organization Science, 1997, 5(1): 14-37.
    [113] Davenport T H, Prusak L. Working Knowledge: How Organizations Manage What They Know[M]. Boston: Harvard Business School Press, 1998.
    [114] Blake P. The future of knowledge management[J]. Information Today, 15(1): 12-13.
    [115] Garvey B, Williamson B,(张永军,张永美译).跨越知识管理——对话[M],创造性与公司培训.北京:经济管理出版社, 2005.
    [116]中国大百科全书编写组.《中国大百科全书·经济学卷》[M],北京:中国大百科全书出版社, 1993.
    [117]叶飞.基于合作对策的供应链协作利益分配发放研究[J].计算机集成制造系统,2004, 10(12): 1523-1529.
    [118]孙东川,叶飞.动态联盟利益分配的谈判模型研究[J].科研管理,2001, 22(2): 91-94.
    [119]叶飞.虚拟企业利益分配新方法研究[J].工业工程与管理, 2003,(6): 44-46.
    [120]韩建军,郭耀煌.基于事前协商的动态联盟利润分配机制[J].西南交通大学学报, 2003,38(6):686-690.
    [121]桂萍,谢科范.“盟主-成员”型战略联盟的利润分配[J].管理工程学报,2005,19(2): 30-32.
    [122]顾新,郭耀煌,罗利.知识链成员之间利益分配的二人合作博弈分析[J].系统工程理论与实践,2004,(7): 24-30.
    [123]冯蔚东,陈剑.虚拟企业中伙伴收益分配大小的确定[J].系统工程理论与实践, 2002, (4): 45-49.
    [124]卢纪华,潘德惠.咨询服务虚拟企业的动态契约设计[J].东北大学学报,2004,25(5): 501-504.
    [125]张道武,汤书昆,徐旭初.合作创新联盟成员绩效评估的综合分析机制[J].系统工程理论方法应用, 2004,13(2): 100-105.
    [126]廖成林,凡志均,谭爱民.虚拟企业的二次收益分配机制研究[J].科技管理研究, 2005,(4): 138-140.
    [127] Zhou X J, Xi L F, Lee J. Reliability Centered Predictive Maintenance Scheduling for a Continuously Monitored System Subject to Degradation. Reliability Engineering and System Safety, 2007, 92(4):530-534.
    [128]朱铎辉,吴志军,张玉峰.基于层次分析法的供应商评价模型的研究[J].计算机应用研究, 2004, 4(6): 90-96.
    [129]冯根尧.生产与运作管理[M].重庆大学出版社,重庆, 2003.1.
    [130]李建强,范玉顺.基于Petri网的工作流模型性能分析方法[J].计算机应用, 2001, 21(6): 4-69.
    [131]张吉军.模糊层次分析法(FAHP)[J].模糊系统与数学, 2000, 14(2): 80-88.
    [132]李际.协同电子商务的三个环节与关系[J],企业资源管理研究中心内刊, 2002.
    [133] Menasce, Daniel A. Almeida, Virgilio A.F.A. Business-oriented resource management policies for e-commerce servers[J]. Performance Evaluation Volume: 42, Issue: 2-3, September 29, 2000, pp.223-239.
    [134]孙一林. Java语言高级教程[M].北京:清华大学出版社, 2002.
    [135] Iung B. From Remote Maintenance to MAS-based E-maintenance of an Industrial Process. Journal of Intelligent Manufacturing[J], 2003, 14(1):59-82.
    [136] Tong H, Lim K S. Threshold Autoregressive, Limit Cycles and Cyclical Data[J]. Journal of Royal Stat. society, 1980, series B, No.3.
    [137] Lapadus A,Faber R.Nonlinear signal processing using neural network:prediction and system modeling[R].Los Alamos National Laboratory Technical Report No.LA-VR87-2662,1987.
    [138] Tang Z, Almeida C, Fishwick P A. Time Series Forecasting Using Neural Networks vs. Box-Jenkins Methodology[J]. Simulation, 1991, Vol. 57, No. 5.
    [139] Weigend A S, Rumelhart D E, Huberman B A. Predicting the future: a connectionist approach[J]. International Journal of Neural System, 1990, No.3
    [140] Lee, J. and Wang, B. Book on "Modern Computer-aided Maintenance: Methodology and Practices," [M], Kluwer Academic Publishing, 1998.
    [141] Tong G F, Koc M, Lee J. System Performance Assessment Based On Control System Criteria Under Operational Conditions[J]. Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), Milwaukee, Wisconsin, USA, September 9-11, 2002, p418-426.
    [142] Yan J H, Ko? M, Lee J. Predictive algorithm for machine degradation detection using logistic regression[J]. Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), Milwaukee, Wisconsin, USA, September 9-11, 2002.
    [143] Wang X, Yu G, Koc M, Lee J. Wavelet neural network for machining performance assessmentand its implication to machinery prognostic. Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), Milwaukee, Wisconsin, USA, September 9-11, 2002, p150-156
    [144] Lee J. Teleservice engineering in manufacturing: challenges and opportunities [J]. International Journal of Machine Tools & Manufacture, 1998, (38): 901-910.
    [145] Lee J, Ni J, Dragan Djurdjanovic, et al. Intelligent prognostics tools and e-maintenance[J]. Computers in Industry, 2006, 57(6): 476-489.
    [146]李葆文.设备管理新思维新模式[M].北京:机械工业出版社,2003.

© 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