准动态双资源制造单元构建的关键技术研究
|
摘要
制造业是我国国民经济的支柱产业,是体现国家竞争力的重要标志。以高效率、高柔性、高质量、低成本为特征的单元制造系统已成为当今制造业发展的主流趋势。单元构建是单元制造的基础,制造单元的合理构建为制造系统的模块化生产、生产系统的流程再造以及快速成组技术的广泛应用提供了基础,它是制造系统实现快速重组的核心细胞。
论文针对当今单元制造系统发展的现实需求和现行静态和动态单元构建研究中存在的诸多问题(如前置条件之不足：没有结合考虑原有制造系统(机器设备、人力资源等)的实际情况),提出了一种有别于静态和动态单元构建的新方法：准动态单元构建方法,它采用阶段式构建思想来获得各周期单元构建的最优方案。论文着力研究准动态单元构建的理论、方法和实现技术,建立描述单元构建的统一范式(抽象函数)。研究多技能员工工作任务分配和学习性能对单元构建的内在影响,进而将人力资源要素引入准动态单元构建中,最终提出准动态双资源单元构建问题的数学模型,并进行重要参数的灵敏度分析和构建方案的实证分析,为实施制造系统快速重组、模块化单元制造、成组技术等制造策略提供基础技术支撑,促进我国制造业转型升级与快速响应市场变化的能力,同时为拓展单元制造系统的构建理论与技术提供实质性的科学贡献。论文主要研究内容及结果为：
1)准动态单元构建方法的理论研究。在详细分析静动态单元构建方法的基础上,提出了准动态单元构建的基本思想和分析方法；研究剖析了不同类型单元构建方法的联系与区别,建立了规范化的描述单元构建方法的统一范式。
2)人力资源要素对单元构建的影响研究。详细分析多技能员工任务分配和人的学习性能对单元构建的影响,研究了双资源约束下的单元构建问题,并建立了相应的数学模型,通过对模型中目标函数权重系数的灵敏度分析,优化了企业资源配置。
3)准动态双资源约束下的单元构建问题研究。在准动态单元构建方法的基础上,综合考虑设备单元划分、员工工作任务分配以及单元布局对单元制造系统效率的影响,研究了准动态双资源约束下的单元构建问题,建立了相应的数学模型,进而研究恰当的求解方法。
4)案例分析。在对企业实际调研与数据分析的基础上,将准动态双资源约束下的单元构建数学模型应用于实际企业,改变原有生产方式为单元生产方式,从而大大减少了物料搬运距离,提高了生产质量水平、员工工作效率以及整个单元制造系统的效率。
Manufacturing is a pillar industry of the national economic; it is also the important embodiment of national competitiveness. Nowadays, the cellular manufacturing system which is characterized by high efficiency, high flexibility, high quality and low cost has become the main trend in the development of manufacturing industry. Cellular manufacture combines the flexibility of the workshop and the efficiency of the flow process, as well as to product varieties of small batch according to the approximate cost of the rigid flow process, so it can meet the market in the time, quality, cost, flexibility and many other changes. It also represents the advanced production model. Cell formation is the basis of the cell manufacturing. Reasonable construction of the cellular manufacturing form a foundation for the wide application on the modular production of manufacturing system, the process reconstruction of production system and the rapid grouping technique. And it is a core part for the manufacturing system to achieve rapid reorganization.
Based on the practical needs of today's cellular manufacturing system and the present problems which are brought from static and dynamic cell formation (such as the inadequacy of pre-conditions:without considering the actual condition of the original manufacturing system (such as machinery&human resources)), the paper originally proposes a new method which is different from both static and dynamic cell formation:quasi-dynamic cell formation. It uses the recycling formation method to achieve the optimal cell formation schemes for every period. The paper focuses on the study of the theory, methods and techniques of the quasi-dynamic cell formation, establishing a unified mathematical model (abstract function) to describe different types of cell-formation problems. It considers the internal influence of work assignment for multi-skilled employees and workers'learning ability on cell formation. And then human resource factors are introduced into quasi-dynamic cell-formation problem. Finally mathematical model are proposed for the quasi-dynamic dual-resource cell-formation and do the sensitivity analysis to some important parameters and demonstration analysis. This paper study will provide strong and foundamental technical support for recombining a manufacturing system rapidly, executing cellular manufacturing and group technology strategy. It will also promote the ability of manufacturing enterprises in responsing the rapid change of the global market. At the same time, it will contribute crucially to the development of formation theory and technique for cellular manufacturing system.The main work and achievements are as follows:
1) Research on the quasi-dynamic cell-formation theory. By analyzing the basic method of static and dynamic cell formation and its pratical application, this paper puts forward basical idea and method of quasi-dynamic cell formation, and then research the connection and distngusich of these three formation method, and at last build a a unified expression method.
2) Research on the effect of human factor on cell formation. On the basis of analyzing the influence multi-skilled workers on cellular manufacturing system, this paper puts forward dual-resource constrained cell formation problem and build a corresponding mathematical model and do the sensitivity analsis for the weight coefficient to optimize enterprise resource distribution.
3) Research on the quasi-dynamic dual-resource cell formation problem. Based on the concept of qusi-dynamic dual-resource cell-formation, analysis machines cell division, human work assignment and cell layout effect on the cell manufacturing system efficiency, and then put forword quasi-dynamic dual-resource cell-foramtion problem and build a corresponding model, at last research on the solution method for this model and gain the optimal formation scheme.
4) Case study. Based on the enterprise survey and data analysis, applied the quasi-dynamci dual-resource cell-formation model into the metalworking shop and changed original mode to cellular production mode, thus greatly reducing the material handling distance, improve production quality level, employee's work efficiency and efficiency of the entire cellular manufacturing system.
论文针对当今单元制造系统发展的现实需求和现行静态和动态单元构建研究中存在的诸多问题(如前置条件之不足：没有结合考虑原有制造系统(机器设备、人力资源等)的实际情况),提出了一种有别于静态和动态单元构建的新方法：准动态单元构建方法,它采用阶段式构建思想来获得各周期单元构建的最优方案。论文着力研究准动态单元构建的理论、方法和实现技术,建立描述单元构建的统一范式(抽象函数)。研究多技能员工工作任务分配和学习性能对单元构建的内在影响,进而将人力资源要素引入准动态单元构建中,最终提出准动态双资源单元构建问题的数学模型,并进行重要参数的灵敏度分析和构建方案的实证分析,为实施制造系统快速重组、模块化单元制造、成组技术等制造策略提供基础技术支撑,促进我国制造业转型升级与快速响应市场变化的能力,同时为拓展单元制造系统的构建理论与技术提供实质性的科学贡献。论文主要研究内容及结果为：
1)准动态单元构建方法的理论研究。在详细分析静动态单元构建方法的基础上,提出了准动态单元构建的基本思想和分析方法；研究剖析了不同类型单元构建方法的联系与区别,建立了规范化的描述单元构建方法的统一范式。
2)人力资源要素对单元构建的影响研究。详细分析多技能员工任务分配和人的学习性能对单元构建的影响,研究了双资源约束下的单元构建问题,并建立了相应的数学模型,通过对模型中目标函数权重系数的灵敏度分析,优化了企业资源配置。
3)准动态双资源约束下的单元构建问题研究。在准动态单元构建方法的基础上,综合考虑设备单元划分、员工工作任务分配以及单元布局对单元制造系统效率的影响,研究了准动态双资源约束下的单元构建问题,建立了相应的数学模型,进而研究恰当的求解方法。
4)案例分析。在对企业实际调研与数据分析的基础上,将准动态双资源约束下的单元构建数学模型应用于实际企业,改变原有生产方式为单元生产方式,从而大大减少了物料搬运距离,提高了生产质量水平、员工工作效率以及整个单元制造系统的效率。
Manufacturing is a pillar industry of the national economic; it is also the important embodiment of national competitiveness. Nowadays, the cellular manufacturing system which is characterized by high efficiency, high flexibility, high quality and low cost has become the main trend in the development of manufacturing industry. Cellular manufacture combines the flexibility of the workshop and the efficiency of the flow process, as well as to product varieties of small batch according to the approximate cost of the rigid flow process, so it can meet the market in the time, quality, cost, flexibility and many other changes. It also represents the advanced production model. Cell formation is the basis of the cell manufacturing. Reasonable construction of the cellular manufacturing form a foundation for the wide application on the modular production of manufacturing system, the process reconstruction of production system and the rapid grouping technique. And it is a core part for the manufacturing system to achieve rapid reorganization.
Based on the practical needs of today's cellular manufacturing system and the present problems which are brought from static and dynamic cell formation (such as the inadequacy of pre-conditions:without considering the actual condition of the original manufacturing system (such as machinery&human resources)), the paper originally proposes a new method which is different from both static and dynamic cell formation:quasi-dynamic cell formation. It uses the recycling formation method to achieve the optimal cell formation schemes for every period. The paper focuses on the study of the theory, methods and techniques of the quasi-dynamic cell formation, establishing a unified mathematical model (abstract function) to describe different types of cell-formation problems. It considers the internal influence of work assignment for multi-skilled employees and workers'learning ability on cell formation. And then human resource factors are introduced into quasi-dynamic cell-formation problem. Finally mathematical model are proposed for the quasi-dynamic dual-resource cell-formation and do the sensitivity analysis to some important parameters and demonstration analysis. This paper study will provide strong and foundamental technical support for recombining a manufacturing system rapidly, executing cellular manufacturing and group technology strategy. It will also promote the ability of manufacturing enterprises in responsing the rapid change of the global market. At the same time, it will contribute crucially to the development of formation theory and technique for cellular manufacturing system.The main work and achievements are as follows:
1) Research on the quasi-dynamic cell-formation theory. By analyzing the basic method of static and dynamic cell formation and its pratical application, this paper puts forward basical idea and method of quasi-dynamic cell formation, and then research the connection and distngusich of these three formation method, and at last build a a unified expression method.
2) Research on the effect of human factor on cell formation. On the basis of analyzing the influence multi-skilled workers on cellular manufacturing system, this paper puts forward dual-resource constrained cell formation problem and build a corresponding mathematical model and do the sensitivity analsis for the weight coefficient to optimize enterprise resource distribution.
3) Research on the quasi-dynamic dual-resource cell formation problem. Based on the concept of qusi-dynamic dual-resource cell-formation, analysis machines cell division, human work assignment and cell layout effect on the cell manufacturing system efficiency, and then put forword quasi-dynamic dual-resource cell-foramtion problem and build a corresponding model, at last research on the solution method for this model and gain the optimal formation scheme.
4) Case study. Based on the enterprise survey and data analysis, applied the quasi-dynamci dual-resource cell-formation model into the metalworking shop and changed original mode to cellular production mode, thus greatly reducing the material handling distance, improve production quality level, employee's work efficiency and efficiency of the entire cellular manufacturing system.
引文
[1]张根保,王时龙,徐宗俊.先进制造技术[M].重庆：重庆大学出版社,1996.
[2]机械加工网[DB].http://www.cnmaf.cn/News/12/16959.html
[3]Koren, Y., Moriwaki, T., Pritschow, G., et al. Reconfigurable manufacturing systems[C]. Annals of the CIRP,1999,48(2):1-14.
[4]马士华,陈荣秋.计算机集成制造系统与企业重构—21世纪制造业的主流趋势[J].科技导论,1995,10：48-50.
[5]单元制造百度百科[DB].http://baike.baidu.com/view/1512345.html
[6]高晓平主编.先进制造管理技术及其应用[M].北京：机械工业出版社,2005.
[7]孙林岩,汪建.先进制造模式—理论与实践[M].西安：西安交通大学出版社,2002.
[8]吴澄,李伯虎.从计算机集成制造到现代集成制造—兼谈中国CIMS系统论的特点[J],计算机集制造系统,1998(5)：1-5.
[9]张华,刘飞,张晓采.我国企业对敏捷制造的需求及敏捷制造企业模式的探讨[J].中国机械工程,1 996,7(4)：20-22.
[10]Nagel, R.N.21st Century Manufacturing Enterprise Strategy. Bethehem:Iacocco Institute [M], Lehigh University,1992.
[11]张伯鹏.机械制造机及其自动化[M].北京：人民交通出版社,2003.
[12]孔凡玉,张显成,巩建鸣.现代工业再制造技术[J].工程机械,2003,34(9)：33-36.
[13]宋金波,戴大双,王东波,等.基于人员因素的先进制造技术成功实施研究[J].科研管理,2007,28(3)：19-25.
[14]秋野晶二.日本企业的国际化与生产体制的变革(下)[M].立教经济学研究,1997.
[15]王涛,孟宪忠.细胞生产方式：制造业的大趋势[J].江苏商论,2006,34(6)：3-6.
[16]都留康.生产系统的革新与进化—日本企业当中单元生产方式的浸透[M].日本评论社,2001.
[17]卢杰泉.S公司的单元生产方式应用研究[D].广州：中山大学,2008.4.
[18]刘正刚.单元制造的设施布置设计研究[D].镇江：江苏理工大学,2001.
[19]赵伟,刘晓冰,许登峰.制造生产模式的演变与敏捷制造[J].工业工程,1999,2(3)：13-17.
[20]于洋,查建中,牟建斌.单元制造技术及其实施方法[J].制造业自动化,2001,13(4)：4-6.
[21]Wu, N., Salvendy, G. A modified network approach for the design of cellular manufacturing systems [J]. International Journal of Production Research,1993,286(31):1409-1421.
[22]Mcauley, J. Machine grouping for efficient production [J]. Production Engineer,1972,24(52):53-7.
[23]Gupta, T., Seifoddini, H. Production data based similarity coefficient for machine-component grouping decision in the design of a cellular manufacturing system [J]. International Journal of Production Research,1990,245(28):1247-1269.
[24]Seifoddini, H. Single linkage v/s average linkage clustering in machine cells formation applications [J]. Computers and Industrial Engineering,1989,396 (16):419-426.
[25]Mosier, C.T., Yelle, J., Walker, G. Survey of similarity coefficient based methods as applied to the group technologyconfiguration problem [J]. Omega,1997,25:65-79.
[26]Yin, Y., Yasuada, K. Similarity coefficient methods applied to the cell formation problem:a taxonomy and review [J]. International Journal of Production Economics,2006,101(2):329-352.
[27]Ravichandran, K.S., Chandra, K., Saravanan, R. The role of fussy and genetic algorithm in part family formation and sequence optimization for flexible manufacturing systems [J]. Advanced Manufacturing Technology,2002(19):879-888.
[28]吴晓丹,王云峰,朱昭贤,李杰.单元制造系统理论与研究方法综述[J].河北工业大学学报,1999,28(3)：1-5.
[29]King, J.R. Machine-component grouping in production flow analysis:An approach using rank order clustering algorithm [J]. International Journal of Production Research,1980,18 (2):213-232.
[30]Chandrasekaran, M.P., Rajagopalan, R. MODROC:Anextension of rank order clustering of group technology [J]. International Journal of Production Research,1986,24 (5):1221-1233.
[31]Chan, H.M., Milner, D.A. Direct clustering algorithm for group formation in cellular manufacture [J]. Journal of Manufacturing Systems,1982,1(1):64-76.
[32]Mosier, C.T. An experiment investigating the application of clustering procedures and similarity coefficients to the GT machine cell formation problem [J]. International Journal of Production Research,1989,27 (10):1811-1835.
[33]Wei, J.C., Kern, G.M. Commonality analysis:A linear cell clustering algorithm for group technology [J]. International Journal of Production Research,1989,27 (12):2053-2062.
[34]Shafer, S.M., Rogers, D.F. Similarity and distance measures for cellular manufacturing, Part 1:A survey [J]. International Journal of Production Research,1993,31 (5):1133-1142.
[35]Liao, T.W., Zhang, Z., Mount, C.R. Similarity measures for retrieval in case-based reasoning systems [J]. Applied Artificial Intelligence,1998,12 (4):267-288.
[36]金升灿.构建单元制造的灰色聚类法[J].煤矿机械,2005,3：46-47.
[37]白书清,王爱民,李伯虎.面向应急动员批产的流水式制造单元构建技术[J].计算机集成制造系统,2008,14(1)：64-73.
[38]王爱民,丁国智,宁汝新.制造单元快速构建技术研究[J].北京理工大学学报,2006,26(10)：850-856.
[39]祝恒云,叶文华.基于流程时间矩阵的单元化制造系统设计[J].应用科学学报,2008,26(1)：100-107.
[40]David, F., Rogers, Shailesh, S. Kulkarni. Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing[J]. European Journal of Operational Research 2005,160: 423-444。
[41]Vitanov, V., Tjahjono, B., Marghalany, I. A decision support tool to facilitate the design of cellular manufacturing layouts[J]. Computers & Industrial Engineering,2007,52(4):380-403.
[42]Vitanov, V., Tjahjono, B., Marghalany, I. Heuristic rules-based logic cell formation algorithm [J]. International Journal of Production Research,2008,46(2):321-344.
[43]Surjit, A., Rakesh, S., Samsudeen N. Cellular manufacturing—A time-based analysis to the layout problem [J]. International Journal of Production Economics,2008,112(1):427-438.
[44]Oliveira, S., Ribeiro, J.F.F., Seok, S.C. A comparative study of similarity measures for manufacturing cell formation [J]. Journal of Manufacturing Systems,2008,27(1):19-25.
[45]Farouq, A., Seifoddini, H. Machine cell formation for production management in cellular manufacturing systems [J]. International Journal of Production Research,2007,45(4):913-934.
[46]Xu, H., Wang, H.P. Part family formation for GT applications based on fuzzy mathematics [J]. International Journal of Production Research,1989,27 (9):1637-1651.
[47]Liao, T.W. Classification and coding approaches to part family formation under a fuzzy environment [J]. Fuzzy Sets and Systems,2001,122 (3):425-441.
[48]Lozano, S., Dobado, D., Larrata, J., Onieva, L. Modified fuzzy C-means algorithm for cellular manufacturing [J]. Fuzzy Sets and Systems,2002,126 (1):23-32.
[49]李杰,王云峰,朱昭贤.基于模糊技术的制造单元构建方法研究[J].计算机集成制造系统,2004,10(12)：1561-1567.
[50]Torkul, O., Cedimoglou, I.H., Geyik, A.K. An application of fuzzy clustering to manufacturing cell design [J]. Journal of Intelligent and Fuzzy Systems,2006,17:173-181.
[51]Yang, M.S., Hwang, P.Y., Chen, D.H. Fuzzy clustering algorithms for mixed feature variables [J]. Fuzzy Sets and System,2004,141(2):301-317.
[52]Yang, M.S, Yang, J.H. Machine-part cell formation in group technology using a modified ART1 method [J]. European Journal of Operational Research,2008,188(1):140-152.
[53]Naadimuthu, G., Gultom, P., Lee, E.S. Fuzzy clustering in cell formation with multiple attributes[J].Computers and Mathematics with Applications,2010,59(9):3137-3147.
[54]Hung, W.L., Yang, M.s., Lee, E.S. Cell formation using fuzzy relational clustering algorithm [J]. Mathematical and Computer Modelling,2011,53(9-10):1776-1787.
[55]Gravel, M., Nsakanda, A.L., Price, W. Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm [J]. European Journal of Operational Research,1998, 109(2):286-298.
[56]Sofianopoulou, S. Manufacturing cells design with alternative process plans and/or replicate machines [J]. International Journal of Production Research,1999,37(3):707-720.
[57]马玉敏,陈炳森,张为民.基于多条工艺路线单元构建的遗传算法[J].现代设计技术,2001,18(01)：18-22.
[58]Logendran, R., Karim, Y. Design of manufacturing cells in the presence of alternative cell locations and material transporters [J]. Journal of the Operational Research Society,2003,54:1059-1075.
[59]王志亮,张友良,汪惠芬.敏捷制造模式下制造单元重构技术研究[J].计算机集成制造系统,2004,10(7)：727-733.
[60]Jayaswal, S., Adil, G. K. Efficient algorithm for cell formation with sequence data, machine replications and alternative process routings [J]. International Journal of Production Research,2004, 42(12):2419-2433.
[61]Kim, C.O., Baek, J.G., Baek, J.K. A two-phase heuristic algorithm for cell formation problems considering alternative part routes and machine sequences [J]. International Journal of Production Research,2004,42 (18):3911-3927.
[62]Kizil, M., Ozbayrak, M. A tradeoff analysis between process plan selection and cell formation in cellular manufacturing [J]. International Journal of Advanced Manufacturing Technology,2004,23: 501-506.
[63]Foulds, L.R., French, A.P., Wilson, J.M. The sustainable cell formation problem:manufacturing cell creation with machine modification costs [J]. Computers and Operations Research,2006,33: (4)1010-1032.
[64]Diaby, M., Nsakanda, A.L. Large scale capacitated part-routing in the presence of process and routing flexibilities and setup costs [J]. Journal of the Operational Research Society 2006,57: 1100-1112.
[65]王建维.制造单元构建关键技术研究[D].大连：大连理工大学,2009.
[66]Paydar, M.M., Mahdavi, I., Valipoor K.S., Solimanpur, M. Developing a mathematical model for cell formation in cellular manufacturing systems [J]. International Journal of Operational Research 2011,11 (4):408-24.
[67]Paydar, M.M., Saidi-Mehrabad, M. A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy [J]. Computer and Operation Research,2013, 40(4):980-990.
[68]Wilhelm, W., Chou, C., Chang, D. Integrating design and planning considerations in cell formation [J]. Annals of Operations Research,1998,77 (1):97-107.
[69]Chen, M. A mathematical programming model for systems reconfiguration in a dynamic cell formation condition [J]. Annals of Operations Research,1998,77 (1):109-128.
[70]Wicks, E.M., Reasor, R.J. Designing cellular manufacturing systems with dynamic part populations [J]. HE Transactions,1999,31:11-20.
[71]Mungwatanna A. Design of cellular manufacturing systems for dynamic and uncertain production requirement with presence of routing flexibility [D]. Blacksburg State University Virginia,2000.
[72]Deljoo, V., Mirzapour, S.M.J., Deljoo, F., Aryanezhad., M.B. Using genetic algorithm to solve dynamic cell formation problem [J]. Application Mathematical Modelling,2009.
[73]Saidi-Mehrabad, M., Safaei, N. A new model of dynamic cell formation by aneural approach [J]. International Journal of Advanced Manufacturing Technology,2007,33:1001-1009.
[74]马玉敏.单元化制造系统的构建及评价[D].上海：同济大学,2002.
[75]Defersha, F.M., Chen, M. Machine cell formation using a mathematical model and a genetic-algorithm-based heuristic [J]. International Journal of Production Research,2006,44 (12): 2421-2444.
[76]Defersha, F.M., Chen, M. A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality [J]. European Journal of Operational Research, 2008,187(1):46-69.
[77]白俊杰,龚毅光,王宁生等.面向订单制造的可重构制造系统中虚拟制造单元构建技术[J].计算机集成制造系统,2009,15(2)：313-321.
[78]王晓晴.面向单元制造企业的单元构建和调度方法的研究[D].沈阳：东北大学,2009.
[79]Fan J.J., Feng D.Z., Cao M. Modeling and application for cellular formation under dynamic environment [J]. Proceedings 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management,2010.10:542-546.
[80]Vahid, M.D. New mathematical model for problem of dynamic cell formation based on number and average length of intra and intercellular movements [J]. Applied Mathematical Modeling,2013, 37(4):1884-1896.
[81]Ahkioon, S., Bulgak, A.A., Bektas, T. Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration [J]. European Journal of Operational Research,2009,192(2):414-428.
[82]Aramoon, M., Bajestani, M., Rabbani, A.R. Rahimi-Vahed, G., Baharian, K.. A multi-objective scatter search for a dynamic cell formation problem [J]. Computers and Operations Research,2009, 36(3):777-794.
[83]Tavakkoli-Moghaddam, R., Safaei, N., Sassani, F. A new solution for a dynamic cell formation problem with alternative routing and machine costs using simulated annealing [J]. Journal of the Operational Research Society,2008,23:916-924.
[84]Herran, A., Defersha, F.M., Chen, M., Delacruz, J.M. An integrated multi-period planning of the production and transportation of multiple petroleum products in a single pipeline system[J].International Journal of Industrial Engineering Computer,2011,2:19-44.
[85]Cao, D., Chen, M. A robust cell formation approach for varying product demands [J]. International of Production Research,2005,43(8):1587-1605.
[86]Feyzan, A., Ziilal, G. Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming [J]. Mathematical and Computer Modelling,2009,50(3-4):407-420.
[87]Ghezavati, V.R., Saidi-Mehrabad, M. An efficient hybrid self-learning method for stochastic cellular manufacturing problem:A queuing-based analysis [J]. Expert Systems with Applications, 2010,38(3):1326-1335.
[88]Tavakkoli-Moghaddam, R., Aryanezhad, M.B., Safaei, N., Vasei, M., Azaron, A. A new approach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algorithm [J]. Journal of Intelligent and Fuzzy Systems,2007,8 (4):363-376.
[89]Safaei, N., Saidi-Mehrabad, M., Tavakkoli-Moghaddam, R., Sassani, F. A fuzzy programming approach for a cell formation problem with dynamic and uncertain conditions [J]. Fuzzy Sets and Systems,2008,159 (2):215-236.
[90]Safaei N., Tavakkoli-Moghaddam, R. Integrated multi-period cell formation and sub contracting production planning in dynamic cellular manufacturing [J]. International Journal of Production Economics,2009,120 (2):301-314.
[91]Papaioannou, G., Wilson, J.M. Fuzzy extensions to integer programming models of cell-formation problems in machine scheduling [J]. Annals of Operations Research,2008.
[92]Ebeling, A. C., Lee, C.Y. Cross training effectiveness and profitability [J]. International Journal of Production Research,1994,32(5):2843-2859
[93]Suer, G. A. Optimal operator assignment and cell loading in labor-intensive manufacturing cells [J]. Computers and Industrial Engineering,1996,26[1-2]:155-158.
[94]Askin, R. G., Huang, Y. Employee training and assignment for facility reconfiguration [J]. Proceedings of the sixth IERC, Miami,1997:426-431.
[95]Bhaskar, K., Srinivasan, G. Static and dynamic operator allocation problems in cellular manufacturing systems [J]. International Journal of Production Research,1997,35(12):3467-3481.
[96]Campbell, G. Cross-utilization of workers whose capabilities differ [J]. Management Science,1999, 45(5):722-732.
[97]Billionnet, A. Integer programming to schedule a hierarchical workforce with variable demands [J]. European Journal of Operations Research,1999,114(1):105-114.
[98]Bokhorst, J., Slomp, J. Long-term allocation of operators to machines in manufacturing cells [J]. Proceedings of the Group Technology/Cellular Manufacturing World Symposium, San Juan, Puerto Rico,2000:153-158.
[99]Norman, B.A., Tharmmaphornphilas, W., Needy, K.L., Bidanda, B., Warner,R.C. Worker assignment in cellular manufacturing considering technical and human skills [J]. International Journal of Production Research,2002,40 (6):1479-1492.
[100]Jannes, S., Boppana, V., Nallan, C., Suresh, C. Design of virtual manufacturing cells:a mathematical programming approach [J]. Robotics and Computer-Integrated Manufacturing,2005,21(3): 273-288.
[101]孟志雷,叶春明,宁凝.单元制造系统的操作工分配方法[J].工业工程,2009,12(1)：84-88.
[102]Solimanpur, M., Mahdavi, I., Aalaei, A., Paydar, M.M. Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems [J]. International Conference on Business and Information,2009,7:6-8.
[103]Aryanezhad, M. B., Deljoo, V., Mirzapour, S. M. J. Dynamic cell formation and the worker assignmen problem:a new model [J]. International Journal of Advanced Manufacturing Technology, 2009,41:329-342.
[104]Mahdavi,I., Aalaei, A., Paydar, M.M., Solimanpur, M. Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment [J]. Computers and Mathematics with Applications,2010,60 (4):1014-1025.
[105]Rafiei, H., Ghodsi, R. A bi-objective mathematical model toward dynamic cell formation considering labor utilization [J]. Applied Mathematical Modelling,2013,37(4):2308-2316.
[106]吴晓丹,王云峰,朱昭贤,李杰.单元制造系统集成建模研究[J].计算机集成制造系统,2000,6(2)：36-41.
[107]Chih-Ping, C., Shine-Der, L. Joint determination of machine cells and linear intercell layout [J]. Computers and Operations Research,2004,31(10):1603-1619.
[108]Tavakkoli-Moghaddam, R., et al. Design of a facility layout problem in cellular manufacturing systems with stochastic demands [J]. Applied Mathematics and Computation 2007,184(2):721-728.
[109]郑永前,张锦.基于自适应粒子群算法的制造单元集成构建方法[J].计算机集成制造系统,2010,16(8)：1666-1672.
[110]Fan, J.J., Feng, D.Z. Model Construction and Application of Integration Cellular Manufacturing System [J]. Advanced Materials Research,2010,156-157:547-552.
[111]Faber, Z, Carter, M.W. A new graph theory approach for forming machine cells in cellular production systems[J]. New York,1986:301-318.
[112]Kernighan, B.W., Lin, S. An efficient heuristic Procedure for partitioning graphs [J].Technical Journal,1970(49):291-307.
[113]Aljaber, N., Baek, W., Chen, C.L. A tabu search approach to the cell formation problem [J]. Computers and Industrial Engineering,1997,32 (1):169-185.
[114]楼洪梁,杨将新,林亚福等.基于图论的可重构制造系统重构策略[J].机械工程学报,2006,42(3)：23-32.
[115]吴永明,马剑,程猛.可重组制造系统中加工设备资源的优化配置与重构[J].中国机械工程,2009,20(2)：176-181.
[116]窦建平,戴先中,孟正大,李俊.基于图论的可重构制造系统单零件流水线构形优化[J].计算机集成制造系统,2010,16(1)：81-91.
[117]Lozano, S., Canca, D., Guerrero, F., G.J.M. Machine grouping using sequence-based similarity coefficients and neural networks [J]. Robotics and Computer Integrated Manufacturing,2001,17 (5): 399-404.
[118]Soleymanpour, M., Vrat, P., Shankar, R. A transiently chaotic neural network approach to the design of cellular manufacturing [J]. International Journal of Production Research,2002,40 (10): 2225-2244.
[119]Guerrero, F., Lozano, S., Smith, K.A., Canca, D., Kwok, T. Manufacturing cell formation using a new self-organizing neural network [J]. Computers and Industrial Engineering,2002,42(2-4): 377-382.
[120]Park, S., Suresh, N.C. Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences [J]. International Journal of Production Research,2003,41(14):3185-3216.
[121]Solimanpur, M., Vrat, P., Shankar, R. Feasibility and robustness of transiently chaotic neural networks applied to the cell formation problem [J]. International Journal of Production Research, 2004b,42(6):1065-1082.
[122]Venkumar, P., Haq, A.N. Manufacturing cell formation using modified ART1 networks [J]. International Journal of Advanced Manufacturing Technology,2005,26:909-916.
[123]Venkumar, P., Haq, A.N. Complete and fractional cell formation using Kohonen self-organizing map networks in cellular manufacturing system [J]. International Journal of Production Research,2006, 20(15):4257-4271.
[124]Won, Y., Currie, K.R. Fuzzy ART/RRR-RSS:a two-phase neural network algorithm for part machine grouping in cellular manufacturing [J]. International Journal of Production Research,2007,45(9): 2073-2104.
[125]Barthelemy, A.N., Dao, T.M. Quantized Hopfield networks and tabu search for manufacturing cell formation problems [J]. International Journal Production Economics,2009,121(1):88-98.
[126]Pandian, R. S., Mahapatra, S. S. Manufacturing cell formation with production data using neural networks [J]. Computers & Industrial Engineering,2009,56(4):1340-1347.
[127]Venugopal, V., Narendran, T.T. A genetic algorithm approach to the machine component grouping problem with multiple objectives [J]. Computers and Industrial Engineering,1992,22(4):469-480.
[128]Islier, A.A. Group technology by an ant system algorithm [J]. International Journal of Production Research,2005,43(1):913-932.
[129]Prabhaharan, G., Muruganandam, A., Asokan, P., Girish, B.S. Machine cell formation for cellular manufacturing systems using an ant colony system approach [J]. International Journal of Advanced Manufacturing Technology,2005,25:1013-1019.
[130]Kao, Y., Li, Y.L. Ant colony recognition systems for part clustering problems [J]. International Journal of Production Research,2008,46 (15):4237-4258.
[131]Spiliopoulos, K., Sofianopoulou, S. An efficient ant colony optimization system for the manufacturing cells formation system [J]. International Journal of Advanced Manufacturing Technology,2008,36:589-597.
[132]Megala, N., Rajendran, C. An ant colony algorithm for cell-formation in cellular manufacturing systems [J]. European Journal of Industrial Engineering 2008,2(3):298-335.
[133]Spiliopoulos, K., Sofianopoulou, S. Designing manufacturing cells:a staged approach and a tabu search algorithm [J]. International Journal of Production Research,2003,41(11):2531-2546.
[134]Won, Y., Lee, K.C., Modified p-median approach for efficient GT cell formation [J]. Computers and Industrial Engineering,2004,46(3):495-510.
[135]Tavakkoli-Moghaddam, R., Aryanezhad, M., Safaei, N., Azaron, A. Solving a dynamic cell formation problem using met heuristics [J]. Appliaction Mathematical Computer,2005,170:761-780.
[136]Lei, D., Wu, Z., Tabu search for multiple-criteria manufacturing cell design [J]. International Journal of Advanced Manufacturing Technology,2006,28:950-956.
[137]Bidanda, B., Warner, R. C., Warner, P. J., Billo, R. E. Project management and implementation of cellular manufacturing [M]. Handbook of cellular manufacturing systems,1999:413-452.
[138]Kolbe, K. Pure instinct. New York:Random House,1993.
[139]Chakravarty, A. K. Line balancing with task learning effects [J]. IIE Transactions,1998,20:186-193.
[140]Ulich, E., Schupback, H., Schilling, A., Kuark, J.K.. Concepts and procedures for the analysis, evaluation, and design of advanced manufacturing systems:A case study [J]. International Journal of Industrial Ergonomics,1990[1],5:47-57.
[141]Cohen, Y., Dar-el, M. E. Optimizing the number of stations in assembly lines under learning for limited production [J]. Production Planning and Control,1998,9:230-240.
[142]Kher, H. V., Malhotra, M. K., Philipoom, P. R., Fry, T. D. Modeling simultaneous worker learning and forgetting in dual resource constrained systems [J]. European Journal of Operational Research, 1999,115[1]:158-172.
[143]Nembhand, D.A. Heuristic approach for assigning workers to tasks based on individual learning rates [J]. International Journal of Production Research,2001,39(9):1955-1968.
[144]易树平,郭伏.基础工业工程[M].北京：机械工业出版社,2006.
[145]Glover, F. Heuristics for integer programming using surrogate constraints [J]. Decision Science, 1977,8:156-166.
[146]Golver, F., Laguna, M., Marti, R. Fundamentals of scatter search and path Relinking [J], Control and Cybernetics,2000,29(3):653-684.
[147]Laguna, M. In handbook of applied optimization [M]. Oxford University Press,2002.
[148]Gomes, D.S., Figueira, J., Climaco, J. Integrating partial optimization with scatter search for solving bi-criteria{0-1}-knapsack problems [J]. European Journal of Operational Research,2007,1773(3): 1656-1677.
[149]刘衍民,赵庆祯,邵增珍.一种自适应多样性保持的多目标粒子群算法[J].济南大学学报,2011,25(3)：296-300.
[150]Deb, K. Multi-objective optimization using evolutionary algorithms [M]. UK:JohnW iley and Sons, 2001.
[151]钟静,赖于树,吴鸿娟.基于遗传算法和模式搜素的混合优化方法[J].重庆三峡学院学报,2011,27(3)：70-73.
[152]Waghodekar, P.H., Sahu, S. Machine-component cell formation in group technology MACE [J]. International Journal of Production Research,1984,22:937-948.
[153]Seifoddini, H. A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications [J]. International Journal of Production Research,1989, 27(7):1161-1165.
[154]Kusiak, A., Cho, M. Similarity coefficient algorithm for solving the group technology problem [J]. International Journal of Production Research,1992,30(11):2633-2646.
[155]Boctor, F.F. A linear formulation of the machine-part cell formation problem [J]. International Journal of Production Research,1991,29(2):343-356.
[156]Mosier, C.T., Taube, L. The facets of group technology and their impact on implementation. OMEGA,1985,13(5):381-391.
[157]Chan, H.M., Milner, D.A. Direct clustering algorithm for group formation in cellular manufacture [J]. Journal of Manufacturing Systems,1982[1],1:65-75.
[158]Chandrasekharan, M.P., Rajagopalan, R. MODROC:an extension of rank order clustering for group technology [J]. International Journal of Production Research,1986a,24(5):1221-1264.
[159]Srinivasan, G., Narendran, T.T., Mahadevan, B. An assignment model for the part-families problem in group technology [J]. International Journal of Production Research,1990,28(1):145-152.
[160]Boe, W.J., Cheng, C.H. A close neighbour algorithm for designing cellular manufacturing systems [J]. International Journal of Production Research,1991,29(10):2097-2116.
[161]Kumar, K.R., Vannelli, A. Strategic subcontracting for efficient disaggregated manufacturing [J]. International Journal of Production Research,1987,25(12):1715-1728.
[162]McCormick, W.T., Schweitzer, P.J., White, T.W. Problem decomposition and data reorganization by a clustering technique [J]. Operations Research,1972,20:993-1009.
[163]King, J.R., Nakornchai, V. Machine-component group formation in group technology:review and extension [J]. International Journal of Production Research,1982,20(2):117-133.
[164]程楠,龚小胜,梁雨婷.一种改进的非支配排序多目标遗传算法[J].计算机与数字工程,2010,38(4)：23-26.
[165]玄光男,程润伟著,于歆杰,周根贵译.遗传算法与工程优化/应用数学译丛[M].北京：清华大学出版社,2004.
[166]Li, J.R, Khoo, L P, Top, S.B. A Tabu-enhanced genetic algorithm approach for assemble process planning [J]. Journal of Intelligent Manufacturing,2003,14:197-208.
[167]张玲,张钹.计算智能神经计算和遗传算法技术[M].北京：清华大学出版社,2001.
[168]Balakris, J, Cheng, C.H. Dynamic cellular manufacturing under multi period planning horizons [J]. Journal of Manufacturing Technology Management,2005,16(5):516-530.
[169]Fantahun, M.D., Chen, M. Machine cell formation using a mathematical model and a genetic algorithm based heuristic [J]. International Journal of Production Research,2006,44(12):2421-2444.
[170]杨启文,蒋静坪,张国宏.遗传算法优化速度的改进[J].软件学报,2001,02：270-275.
[171]张文志,吕恬生.基于改进的遗传算法和模糊逻辑控制的移动机器人导航[J].机器人,2003,25(1)：1-6.
[172]杨晓华,陆桂华,杨志峰,郦建强.格雷码加速遗传算法及其理论研究[J].系统工程理论与实践,2003,23(3)：100-106.
[173]李乃成,陈白丽,高岫.一个具有对偶适应度函数的遗传算法[J].西安交通大学学报,2004,38(8)：811-814.
[174]Potts, C.J., Terr, ID. The development and evaluation of an improved genetic algorithm based on migration and artific ial selection [J]. IEEE Transactions on Systems, manufacturing Cybernetics, 1994,24 (1):73-86.
[175]谢胜利,唐敏.求解TSP问题的一种改进的遗传算法[J].计算机工程与应用,2002,38(8)：58-60.
[176]谢晓锋,张文俊,杨之廉.一种防止浮点遗传算法早熟收敛的父代选择策略[J].控制与决策,2002,17(5)：625-634.
[177]Joines, J.A., Cullbreth, C.T., King. R.E. Manufacturing cell design:An integer programming model employing genetic algorithms. North Carolina State University,1996.
[178]Moon,C., Kim, C.K., Gen., M. Genetic algorithm for maximizing the parts flow within cells in manufacturing cell design[J]. Computers and Industrial Engineering,1999,36(2):1730-1733.
[179]Mak, K.L., Wong, Y.S., Wang, X.X. An adaptive genetic algorithm for manufacturing cell formation [J]. International Journal of Advanced Manufacturing Technology,2000,16:491-497.
[180]Solimanpur, M., Vrat, P., Shankar, R. A multi-objective genetic algorithm approach to the design of cellular manufacturing systems [J]. International Journal of Production Research 2004a,42 (7): 1419-1441.
[181]Wu, X., Chao-Hsien, C., Wang, Y., Yan, W. A genetic algorithm for cellular manufacturing design and layout [J]. European Journal of Operational Research,2007,181(1):156-167.
[182]Tariq, A., Hussain, I., Ghafoor, A. A hybrid genetic algorithm for machinepart grouping[J]. Computers & Industrial Engineering,2009,56:347-356.
[183]Tunnukij, T., Hicks, C., An enhanced grouping genetic algorithm for solving the cell formation problem. International Journal of Production Research,2009,47(7):1989-2007.
[184]Mahdavi, I., Paydar, M. M., Solimanpur, M., Heidarzade, A. Genetic algorithm approach for solving a cell formation problem in cellular manufacturing [J]. Expert Systems with Applacation, 2001,39(1-2):125-144.
[185]Molleman, E., Slomp. J. Functional flexibility and team performance [J]. International Journal of Production Research,1999,37(8):1837-1858.
[2]机械加工网[DB].http://www.cnmaf.cn/News/12/16959.html
[3]Koren, Y., Moriwaki, T., Pritschow, G., et al. Reconfigurable manufacturing systems[C]. Annals of the CIRP,1999,48(2):1-14.
[4]马士华,陈荣秋.计算机集成制造系统与企业重构—21世纪制造业的主流趋势[J].科技导论,1995,10：48-50.
[5]单元制造百度百科[DB].http://baike.baidu.com/view/1512345.html
[6]高晓平主编.先进制造管理技术及其应用[M].北京：机械工业出版社,2005.
[7]孙林岩,汪建.先进制造模式—理论与实践[M].西安：西安交通大学出版社,2002.
[8]吴澄,李伯虎.从计算机集成制造到现代集成制造—兼谈中国CIMS系统论的特点[J],计算机集制造系统,1998(5)：1-5.
[9]张华,刘飞,张晓采.我国企业对敏捷制造的需求及敏捷制造企业模式的探讨[J].中国机械工程,1 996,7(4)：20-22.
[10]Nagel, R.N.21st Century Manufacturing Enterprise Strategy. Bethehem:Iacocco Institute [M], Lehigh University,1992.
[11]张伯鹏.机械制造机及其自动化[M].北京：人民交通出版社,2003.
[12]孔凡玉,张显成,巩建鸣.现代工业再制造技术[J].工程机械,2003,34(9)：33-36.
[13]宋金波,戴大双,王东波,等.基于人员因素的先进制造技术成功实施研究[J].科研管理,2007,28(3)：19-25.
[14]秋野晶二.日本企业的国际化与生产体制的变革(下)[M].立教经济学研究,1997.
[15]王涛,孟宪忠.细胞生产方式：制造业的大趋势[J].江苏商论,2006,34(6)：3-6.
[16]都留康.生产系统的革新与进化—日本企业当中单元生产方式的浸透[M].日本评论社,2001.
[17]卢杰泉.S公司的单元生产方式应用研究[D].广州：中山大学,2008.4.
[18]刘正刚.单元制造的设施布置设计研究[D].镇江：江苏理工大学,2001.
[19]赵伟,刘晓冰,许登峰.制造生产模式的演变与敏捷制造[J].工业工程,1999,2(3)：13-17.
[20]于洋,查建中,牟建斌.单元制造技术及其实施方法[J].制造业自动化,2001,13(4)：4-6.
[21]Wu, N., Salvendy, G. A modified network approach for the design of cellular manufacturing systems [J]. International Journal of Production Research,1993,286(31):1409-1421.
[22]Mcauley, J. Machine grouping for efficient production [J]. Production Engineer,1972,24(52):53-7.
[23]Gupta, T., Seifoddini, H. Production data based similarity coefficient for machine-component grouping decision in the design of a cellular manufacturing system [J]. International Journal of Production Research,1990,245(28):1247-1269.
[24]Seifoddini, H. Single linkage v/s average linkage clustering in machine cells formation applications [J]. Computers and Industrial Engineering,1989,396 (16):419-426.
[25]Mosier, C.T., Yelle, J., Walker, G. Survey of similarity coefficient based methods as applied to the group technologyconfiguration problem [J]. Omega,1997,25:65-79.
[26]Yin, Y., Yasuada, K. Similarity coefficient methods applied to the cell formation problem:a taxonomy and review [J]. International Journal of Production Economics,2006,101(2):329-352.
[27]Ravichandran, K.S., Chandra, K., Saravanan, R. The role of fussy and genetic algorithm in part family formation and sequence optimization for flexible manufacturing systems [J]. Advanced Manufacturing Technology,2002(19):879-888.
[28]吴晓丹,王云峰,朱昭贤,李杰.单元制造系统理论与研究方法综述[J].河北工业大学学报,1999,28(3)：1-5.
[29]King, J.R. Machine-component grouping in production flow analysis:An approach using rank order clustering algorithm [J]. International Journal of Production Research,1980,18 (2):213-232.
[30]Chandrasekaran, M.P., Rajagopalan, R. MODROC:Anextension of rank order clustering of group technology [J]. International Journal of Production Research,1986,24 (5):1221-1233.
[31]Chan, H.M., Milner, D.A. Direct clustering algorithm for group formation in cellular manufacture [J]. Journal of Manufacturing Systems,1982,1(1):64-76.
[32]Mosier, C.T. An experiment investigating the application of clustering procedures and similarity coefficients to the GT machine cell formation problem [J]. International Journal of Production Research,1989,27 (10):1811-1835.
[33]Wei, J.C., Kern, G.M. Commonality analysis:A linear cell clustering algorithm for group technology [J]. International Journal of Production Research,1989,27 (12):2053-2062.
[34]Shafer, S.M., Rogers, D.F. Similarity and distance measures for cellular manufacturing, Part 1:A survey [J]. International Journal of Production Research,1993,31 (5):1133-1142.
[35]Liao, T.W., Zhang, Z., Mount, C.R. Similarity measures for retrieval in case-based reasoning systems [J]. Applied Artificial Intelligence,1998,12 (4):267-288.
[36]金升灿.构建单元制造的灰色聚类法[J].煤矿机械,2005,3：46-47.
[37]白书清,王爱民,李伯虎.面向应急动员批产的流水式制造单元构建技术[J].计算机集成制造系统,2008,14(1)：64-73.
[38]王爱民,丁国智,宁汝新.制造单元快速构建技术研究[J].北京理工大学学报,2006,26(10)：850-856.
[39]祝恒云,叶文华.基于流程时间矩阵的单元化制造系统设计[J].应用科学学报,2008,26(1)：100-107.
[40]David, F., Rogers, Shailesh, S. Kulkarni. Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing[J]. European Journal of Operational Research 2005,160: 423-444。
[41]Vitanov, V., Tjahjono, B., Marghalany, I. A decision support tool to facilitate the design of cellular manufacturing layouts[J]. Computers & Industrial Engineering,2007,52(4):380-403.
[42]Vitanov, V., Tjahjono, B., Marghalany, I. Heuristic rules-based logic cell formation algorithm [J]. International Journal of Production Research,2008,46(2):321-344.
[43]Surjit, A., Rakesh, S., Samsudeen N. Cellular manufacturing—A time-based analysis to the layout problem [J]. International Journal of Production Economics,2008,112(1):427-438.
[44]Oliveira, S., Ribeiro, J.F.F., Seok, S.C. A comparative study of similarity measures for manufacturing cell formation [J]. Journal of Manufacturing Systems,2008,27(1):19-25.
[45]Farouq, A., Seifoddini, H. Machine cell formation for production management in cellular manufacturing systems [J]. International Journal of Production Research,2007,45(4):913-934.
[46]Xu, H., Wang, H.P. Part family formation for GT applications based on fuzzy mathematics [J]. International Journal of Production Research,1989,27 (9):1637-1651.
[47]Liao, T.W. Classification and coding approaches to part family formation under a fuzzy environment [J]. Fuzzy Sets and Systems,2001,122 (3):425-441.
[48]Lozano, S., Dobado, D., Larrata, J., Onieva, L. Modified fuzzy C-means algorithm for cellular manufacturing [J]. Fuzzy Sets and Systems,2002,126 (1):23-32.
[49]李杰,王云峰,朱昭贤.基于模糊技术的制造单元构建方法研究[J].计算机集成制造系统,2004,10(12)：1561-1567.
[50]Torkul, O., Cedimoglou, I.H., Geyik, A.K. An application of fuzzy clustering to manufacturing cell design [J]. Journal of Intelligent and Fuzzy Systems,2006,17:173-181.
[51]Yang, M.S., Hwang, P.Y., Chen, D.H. Fuzzy clustering algorithms for mixed feature variables [J]. Fuzzy Sets and System,2004,141(2):301-317.
[52]Yang, M.S, Yang, J.H. Machine-part cell formation in group technology using a modified ART1 method [J]. European Journal of Operational Research,2008,188(1):140-152.
[53]Naadimuthu, G., Gultom, P., Lee, E.S. Fuzzy clustering in cell formation with multiple attributes[J].Computers and Mathematics with Applications,2010,59(9):3137-3147.
[54]Hung, W.L., Yang, M.s., Lee, E.S. Cell formation using fuzzy relational clustering algorithm [J]. Mathematical and Computer Modelling,2011,53(9-10):1776-1787.
[55]Gravel, M., Nsakanda, A.L., Price, W. Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm [J]. European Journal of Operational Research,1998, 109(2):286-298.
[56]Sofianopoulou, S. Manufacturing cells design with alternative process plans and/or replicate machines [J]. International Journal of Production Research,1999,37(3):707-720.
[57]马玉敏,陈炳森,张为民.基于多条工艺路线单元构建的遗传算法[J].现代设计技术,2001,18(01)：18-22.
[58]Logendran, R., Karim, Y. Design of manufacturing cells in the presence of alternative cell locations and material transporters [J]. Journal of the Operational Research Society,2003,54:1059-1075.
[59]王志亮,张友良,汪惠芬.敏捷制造模式下制造单元重构技术研究[J].计算机集成制造系统,2004,10(7)：727-733.
[60]Jayaswal, S., Adil, G. K. Efficient algorithm for cell formation with sequence data, machine replications and alternative process routings [J]. International Journal of Production Research,2004, 42(12):2419-2433.
[61]Kim, C.O., Baek, J.G., Baek, J.K. A two-phase heuristic algorithm for cell formation problems considering alternative part routes and machine sequences [J]. International Journal of Production Research,2004,42 (18):3911-3927.
[62]Kizil, M., Ozbayrak, M. A tradeoff analysis between process plan selection and cell formation in cellular manufacturing [J]. International Journal of Advanced Manufacturing Technology,2004,23: 501-506.
[63]Foulds, L.R., French, A.P., Wilson, J.M. The sustainable cell formation problem:manufacturing cell creation with machine modification costs [J]. Computers and Operations Research,2006,33: (4)1010-1032.
[64]Diaby, M., Nsakanda, A.L. Large scale capacitated part-routing in the presence of process and routing flexibilities and setup costs [J]. Journal of the Operational Research Society 2006,57: 1100-1112.
[65]王建维.制造单元构建关键技术研究[D].大连：大连理工大学,2009.
[66]Paydar, M.M., Mahdavi, I., Valipoor K.S., Solimanpur, M. Developing a mathematical model for cell formation in cellular manufacturing systems [J]. International Journal of Operational Research 2011,11 (4):408-24.
[67]Paydar, M.M., Saidi-Mehrabad, M. A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy [J]. Computer and Operation Research,2013, 40(4):980-990.
[68]Wilhelm, W., Chou, C., Chang, D. Integrating design and planning considerations in cell formation [J]. Annals of Operations Research,1998,77 (1):97-107.
[69]Chen, M. A mathematical programming model for systems reconfiguration in a dynamic cell formation condition [J]. Annals of Operations Research,1998,77 (1):109-128.
[70]Wicks, E.M., Reasor, R.J. Designing cellular manufacturing systems with dynamic part populations [J]. HE Transactions,1999,31:11-20.
[71]Mungwatanna A. Design of cellular manufacturing systems for dynamic and uncertain production requirement with presence of routing flexibility [D]. Blacksburg State University Virginia,2000.
[72]Deljoo, V., Mirzapour, S.M.J., Deljoo, F., Aryanezhad., M.B. Using genetic algorithm to solve dynamic cell formation problem [J]. Application Mathematical Modelling,2009.
[73]Saidi-Mehrabad, M., Safaei, N. A new model of dynamic cell formation by aneural approach [J]. International Journal of Advanced Manufacturing Technology,2007,33:1001-1009.
[74]马玉敏.单元化制造系统的构建及评价[D].上海：同济大学,2002.
[75]Defersha, F.M., Chen, M. Machine cell formation using a mathematical model and a genetic-algorithm-based heuristic [J]. International Journal of Production Research,2006,44 (12): 2421-2444.
[76]Defersha, F.M., Chen, M. A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality [J]. European Journal of Operational Research, 2008,187(1):46-69.
[77]白俊杰,龚毅光,王宁生等.面向订单制造的可重构制造系统中虚拟制造单元构建技术[J].计算机集成制造系统,2009,15(2)：313-321.
[78]王晓晴.面向单元制造企业的单元构建和调度方法的研究[D].沈阳：东北大学,2009.
[79]Fan J.J., Feng D.Z., Cao M. Modeling and application for cellular formation under dynamic environment [J]. Proceedings 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management,2010.10:542-546.
[80]Vahid, M.D. New mathematical model for problem of dynamic cell formation based on number and average length of intra and intercellular movements [J]. Applied Mathematical Modeling,2013, 37(4):1884-1896.
[81]Ahkioon, S., Bulgak, A.A., Bektas, T. Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration [J]. European Journal of Operational Research,2009,192(2):414-428.
[82]Aramoon, M., Bajestani, M., Rabbani, A.R. Rahimi-Vahed, G., Baharian, K.. A multi-objective scatter search for a dynamic cell formation problem [J]. Computers and Operations Research,2009, 36(3):777-794.
[83]Tavakkoli-Moghaddam, R., Safaei, N., Sassani, F. A new solution for a dynamic cell formation problem with alternative routing and machine costs using simulated annealing [J]. Journal of the Operational Research Society,2008,23:916-924.
[84]Herran, A., Defersha, F.M., Chen, M., Delacruz, J.M. An integrated multi-period planning of the production and transportation of multiple petroleum products in a single pipeline system[J].International Journal of Industrial Engineering Computer,2011,2:19-44.
[85]Cao, D., Chen, M. A robust cell formation approach for varying product demands [J]. International of Production Research,2005,43(8):1587-1605.
[86]Feyzan, A., Ziilal, G. Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming [J]. Mathematical and Computer Modelling,2009,50(3-4):407-420.
[87]Ghezavati, V.R., Saidi-Mehrabad, M. An efficient hybrid self-learning method for stochastic cellular manufacturing problem:A queuing-based analysis [J]. Expert Systems with Applications, 2010,38(3):1326-1335.
[88]Tavakkoli-Moghaddam, R., Aryanezhad, M.B., Safaei, N., Vasei, M., Azaron, A. A new approach for the cellular manufacturing problem in fuzzy dynamic conditions by a genetic algorithm [J]. Journal of Intelligent and Fuzzy Systems,2007,8 (4):363-376.
[89]Safaei, N., Saidi-Mehrabad, M., Tavakkoli-Moghaddam, R., Sassani, F. A fuzzy programming approach for a cell formation problem with dynamic and uncertain conditions [J]. Fuzzy Sets and Systems,2008,159 (2):215-236.
[90]Safaei N., Tavakkoli-Moghaddam, R. Integrated multi-period cell formation and sub contracting production planning in dynamic cellular manufacturing [J]. International Journal of Production Economics,2009,120 (2):301-314.
[91]Papaioannou, G., Wilson, J.M. Fuzzy extensions to integer programming models of cell-formation problems in machine scheduling [J]. Annals of Operations Research,2008.
[92]Ebeling, A. C., Lee, C.Y. Cross training effectiveness and profitability [J]. International Journal of Production Research,1994,32(5):2843-2859
[93]Suer, G. A. Optimal operator assignment and cell loading in labor-intensive manufacturing cells [J]. Computers and Industrial Engineering,1996,26[1-2]:155-158.
[94]Askin, R. G., Huang, Y. Employee training and assignment for facility reconfiguration [J]. Proceedings of the sixth IERC, Miami,1997:426-431.
[95]Bhaskar, K., Srinivasan, G. Static and dynamic operator allocation problems in cellular manufacturing systems [J]. International Journal of Production Research,1997,35(12):3467-3481.
[96]Campbell, G. Cross-utilization of workers whose capabilities differ [J]. Management Science,1999, 45(5):722-732.
[97]Billionnet, A. Integer programming to schedule a hierarchical workforce with variable demands [J]. European Journal of Operations Research,1999,114(1):105-114.
[98]Bokhorst, J., Slomp, J. Long-term allocation of operators to machines in manufacturing cells [J]. Proceedings of the Group Technology/Cellular Manufacturing World Symposium, San Juan, Puerto Rico,2000:153-158.
[99]Norman, B.A., Tharmmaphornphilas, W., Needy, K.L., Bidanda, B., Warner,R.C. Worker assignment in cellular manufacturing considering technical and human skills [J]. International Journal of Production Research,2002,40 (6):1479-1492.
[100]Jannes, S., Boppana, V., Nallan, C., Suresh, C. Design of virtual manufacturing cells:a mathematical programming approach [J]. Robotics and Computer-Integrated Manufacturing,2005,21(3): 273-288.
[101]孟志雷,叶春明,宁凝.单元制造系统的操作工分配方法[J].工业工程,2009,12(1)：84-88.
[102]Solimanpur, M., Mahdavi, I., Aalaei, A., Paydar, M.M. Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems [J]. International Conference on Business and Information,2009,7:6-8.
[103]Aryanezhad, M. B., Deljoo, V., Mirzapour, S. M. J. Dynamic cell formation and the worker assignmen problem:a new model [J]. International Journal of Advanced Manufacturing Technology, 2009,41:329-342.
[104]Mahdavi,I., Aalaei, A., Paydar, M.M., Solimanpur, M. Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment [J]. Computers and Mathematics with Applications,2010,60 (4):1014-1025.
[105]Rafiei, H., Ghodsi, R. A bi-objective mathematical model toward dynamic cell formation considering labor utilization [J]. Applied Mathematical Modelling,2013,37(4):2308-2316.
[106]吴晓丹,王云峰,朱昭贤,李杰.单元制造系统集成建模研究[J].计算机集成制造系统,2000,6(2)：36-41.
[107]Chih-Ping, C., Shine-Der, L. Joint determination of machine cells and linear intercell layout [J]. Computers and Operations Research,2004,31(10):1603-1619.
[108]Tavakkoli-Moghaddam, R., et al. Design of a facility layout problem in cellular manufacturing systems with stochastic demands [J]. Applied Mathematics and Computation 2007,184(2):721-728.
[109]郑永前,张锦.基于自适应粒子群算法的制造单元集成构建方法[J].计算机集成制造系统,2010,16(8)：1666-1672.
[110]Fan, J.J., Feng, D.Z. Model Construction and Application of Integration Cellular Manufacturing System [J]. Advanced Materials Research,2010,156-157:547-552.
[111]Faber, Z, Carter, M.W. A new graph theory approach for forming machine cells in cellular production systems[J]. New York,1986:301-318.
[112]Kernighan, B.W., Lin, S. An efficient heuristic Procedure for partitioning graphs [J].Technical Journal,1970(49):291-307.
[113]Aljaber, N., Baek, W., Chen, C.L. A tabu search approach to the cell formation problem [J]. Computers and Industrial Engineering,1997,32 (1):169-185.
[114]楼洪梁,杨将新,林亚福等.基于图论的可重构制造系统重构策略[J].机械工程学报,2006,42(3)：23-32.
[115]吴永明,马剑,程猛.可重组制造系统中加工设备资源的优化配置与重构[J].中国机械工程,2009,20(2)：176-181.
[116]窦建平,戴先中,孟正大,李俊.基于图论的可重构制造系统单零件流水线构形优化[J].计算机集成制造系统,2010,16(1)：81-91.
[117]Lozano, S., Canca, D., Guerrero, F., G.J.M. Machine grouping using sequence-based similarity coefficients and neural networks [J]. Robotics and Computer Integrated Manufacturing,2001,17 (5): 399-404.
[118]Soleymanpour, M., Vrat, P., Shankar, R. A transiently chaotic neural network approach to the design of cellular manufacturing [J]. International Journal of Production Research,2002,40 (10): 2225-2244.
[119]Guerrero, F., Lozano, S., Smith, K.A., Canca, D., Kwok, T. Manufacturing cell formation using a new self-organizing neural network [J]. Computers and Industrial Engineering,2002,42(2-4): 377-382.
[120]Park, S., Suresh, N.C. Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences [J]. International Journal of Production Research,2003,41(14):3185-3216.
[121]Solimanpur, M., Vrat, P., Shankar, R. Feasibility and robustness of transiently chaotic neural networks applied to the cell formation problem [J]. International Journal of Production Research, 2004b,42(6):1065-1082.
[122]Venkumar, P., Haq, A.N. Manufacturing cell formation using modified ART1 networks [J]. International Journal of Advanced Manufacturing Technology,2005,26:909-916.
[123]Venkumar, P., Haq, A.N. Complete and fractional cell formation using Kohonen self-organizing map networks in cellular manufacturing system [J]. International Journal of Production Research,2006, 20(15):4257-4271.
[124]Won, Y., Currie, K.R. Fuzzy ART/RRR-RSS:a two-phase neural network algorithm for part machine grouping in cellular manufacturing [J]. International Journal of Production Research,2007,45(9): 2073-2104.
[125]Barthelemy, A.N., Dao, T.M. Quantized Hopfield networks and tabu search for manufacturing cell formation problems [J]. International Journal Production Economics,2009,121(1):88-98.
[126]Pandian, R. S., Mahapatra, S. S. Manufacturing cell formation with production data using neural networks [J]. Computers & Industrial Engineering,2009,56(4):1340-1347.
[127]Venugopal, V., Narendran, T.T. A genetic algorithm approach to the machine component grouping problem with multiple objectives [J]. Computers and Industrial Engineering,1992,22(4):469-480.
[128]Islier, A.A. Group technology by an ant system algorithm [J]. International Journal of Production Research,2005,43(1):913-932.
[129]Prabhaharan, G., Muruganandam, A., Asokan, P., Girish, B.S. Machine cell formation for cellular manufacturing systems using an ant colony system approach [J]. International Journal of Advanced Manufacturing Technology,2005,25:1013-1019.
[130]Kao, Y., Li, Y.L. Ant colony recognition systems for part clustering problems [J]. International Journal of Production Research,2008,46 (15):4237-4258.
[131]Spiliopoulos, K., Sofianopoulou, S. An efficient ant colony optimization system for the manufacturing cells formation system [J]. International Journal of Advanced Manufacturing Technology,2008,36:589-597.
[132]Megala, N., Rajendran, C. An ant colony algorithm for cell-formation in cellular manufacturing systems [J]. European Journal of Industrial Engineering 2008,2(3):298-335.
[133]Spiliopoulos, K., Sofianopoulou, S. Designing manufacturing cells:a staged approach and a tabu search algorithm [J]. International Journal of Production Research,2003,41(11):2531-2546.
[134]Won, Y., Lee, K.C., Modified p-median approach for efficient GT cell formation [J]. Computers and Industrial Engineering,2004,46(3):495-510.
[135]Tavakkoli-Moghaddam, R., Aryanezhad, M., Safaei, N., Azaron, A. Solving a dynamic cell formation problem using met heuristics [J]. Appliaction Mathematical Computer,2005,170:761-780.
[136]Lei, D., Wu, Z., Tabu search for multiple-criteria manufacturing cell design [J]. International Journal of Advanced Manufacturing Technology,2006,28:950-956.
[137]Bidanda, B., Warner, R. C., Warner, P. J., Billo, R. E. Project management and implementation of cellular manufacturing [M]. Handbook of cellular manufacturing systems,1999:413-452.
[138]Kolbe, K. Pure instinct. New York:Random House,1993.
[139]Chakravarty, A. K. Line balancing with task learning effects [J]. IIE Transactions,1998,20:186-193.
[140]Ulich, E., Schupback, H., Schilling, A., Kuark, J.K.. Concepts and procedures for the analysis, evaluation, and design of advanced manufacturing systems:A case study [J]. International Journal of Industrial Ergonomics,1990[1],5:47-57.
[141]Cohen, Y., Dar-el, M. E. Optimizing the number of stations in assembly lines under learning for limited production [J]. Production Planning and Control,1998,9:230-240.
[142]Kher, H. V., Malhotra, M. K., Philipoom, P. R., Fry, T. D. Modeling simultaneous worker learning and forgetting in dual resource constrained systems [J]. European Journal of Operational Research, 1999,115[1]:158-172.
[143]Nembhand, D.A. Heuristic approach for assigning workers to tasks based on individual learning rates [J]. International Journal of Production Research,2001,39(9):1955-1968.
[144]易树平,郭伏.基础工业工程[M].北京：机械工业出版社,2006.
[145]Glover, F. Heuristics for integer programming using surrogate constraints [J]. Decision Science, 1977,8:156-166.
[146]Golver, F., Laguna, M., Marti, R. Fundamentals of scatter search and path Relinking [J], Control and Cybernetics,2000,29(3):653-684.
[147]Laguna, M. In handbook of applied optimization [M]. Oxford University Press,2002.
[148]Gomes, D.S., Figueira, J., Climaco, J. Integrating partial optimization with scatter search for solving bi-criteria{0-1}-knapsack problems [J]. European Journal of Operational Research,2007,1773(3): 1656-1677.
[149]刘衍民,赵庆祯,邵增珍.一种自适应多样性保持的多目标粒子群算法[J].济南大学学报,2011,25(3)：296-300.
[150]Deb, K. Multi-objective optimization using evolutionary algorithms [M]. UK:JohnW iley and Sons, 2001.
[151]钟静,赖于树,吴鸿娟.基于遗传算法和模式搜素的混合优化方法[J].重庆三峡学院学报,2011,27(3)：70-73.
[152]Waghodekar, P.H., Sahu, S. Machine-component cell formation in group technology MACE [J]. International Journal of Production Research,1984,22:937-948.
[153]Seifoddini, H. A note on the similarity coefficient method and the problem of improper machine assignment in group technology applications [J]. International Journal of Production Research,1989, 27(7):1161-1165.
[154]Kusiak, A., Cho, M. Similarity coefficient algorithm for solving the group technology problem [J]. International Journal of Production Research,1992,30(11):2633-2646.
[155]Boctor, F.F. A linear formulation of the machine-part cell formation problem [J]. International Journal of Production Research,1991,29(2):343-356.
[156]Mosier, C.T., Taube, L. The facets of group technology and their impact on implementation. OMEGA,1985,13(5):381-391.
[157]Chan, H.M., Milner, D.A. Direct clustering algorithm for group formation in cellular manufacture [J]. Journal of Manufacturing Systems,1982[1],1:65-75.
[158]Chandrasekharan, M.P., Rajagopalan, R. MODROC:an extension of rank order clustering for group technology [J]. International Journal of Production Research,1986a,24(5):1221-1264.
[159]Srinivasan, G., Narendran, T.T., Mahadevan, B. An assignment model for the part-families problem in group technology [J]. International Journal of Production Research,1990,28(1):145-152.
[160]Boe, W.J., Cheng, C.H. A close neighbour algorithm for designing cellular manufacturing systems [J]. International Journal of Production Research,1991,29(10):2097-2116.
[161]Kumar, K.R., Vannelli, A. Strategic subcontracting for efficient disaggregated manufacturing [J]. International Journal of Production Research,1987,25(12):1715-1728.
[162]McCormick, W.T., Schweitzer, P.J., White, T.W. Problem decomposition and data reorganization by a clustering technique [J]. Operations Research,1972,20:993-1009.
[163]King, J.R., Nakornchai, V. Machine-component group formation in group technology:review and extension [J]. International Journal of Production Research,1982,20(2):117-133.
[164]程楠,龚小胜,梁雨婷.一种改进的非支配排序多目标遗传算法[J].计算机与数字工程,2010,38(4)：23-26.
[165]玄光男,程润伟著,于歆杰,周根贵译.遗传算法与工程优化/应用数学译丛[M].北京：清华大学出版社,2004.
[166]Li, J.R, Khoo, L P, Top, S.B. A Tabu-enhanced genetic algorithm approach for assemble process planning [J]. Journal of Intelligent Manufacturing,2003,14:197-208.
[167]张玲,张钹.计算智能神经计算和遗传算法技术[M].北京：清华大学出版社,2001.
[168]Balakris, J, Cheng, C.H. Dynamic cellular manufacturing under multi period planning horizons [J]. Journal of Manufacturing Technology Management,2005,16(5):516-530.
[169]Fantahun, M.D., Chen, M. Machine cell formation using a mathematical model and a genetic algorithm based heuristic [J]. International Journal of Production Research,2006,44(12):2421-2444.
[170]杨启文,蒋静坪,张国宏.遗传算法优化速度的改进[J].软件学报,2001,02：270-275.
[171]张文志,吕恬生.基于改进的遗传算法和模糊逻辑控制的移动机器人导航[J].机器人,2003,25(1)：1-6.
[172]杨晓华,陆桂华,杨志峰,郦建强.格雷码加速遗传算法及其理论研究[J].系统工程理论与实践,2003,23(3)：100-106.
[173]李乃成,陈白丽,高岫.一个具有对偶适应度函数的遗传算法[J].西安交通大学学报,2004,38(8)：811-814.
[174]Potts, C.J., Terr, ID. The development and evaluation of an improved genetic algorithm based on migration and artific ial selection [J]. IEEE Transactions on Systems, manufacturing Cybernetics, 1994,24 (1):73-86.
[175]谢胜利,唐敏.求解TSP问题的一种改进的遗传算法[J].计算机工程与应用,2002,38(8)：58-60.
[176]谢晓锋,张文俊,杨之廉.一种防止浮点遗传算法早熟收敛的父代选择策略[J].控制与决策,2002,17(5)：625-634.
[177]Joines, J.A., Cullbreth, C.T., King. R.E. Manufacturing cell design:An integer programming model employing genetic algorithms. North Carolina State University,1996.
[178]Moon,C., Kim, C.K., Gen., M. Genetic algorithm for maximizing the parts flow within cells in manufacturing cell design[J]. Computers and Industrial Engineering,1999,36(2):1730-1733.
[179]Mak, K.L., Wong, Y.S., Wang, X.X. An adaptive genetic algorithm for manufacturing cell formation [J]. International Journal of Advanced Manufacturing Technology,2000,16:491-497.
[180]Solimanpur, M., Vrat, P., Shankar, R. A multi-objective genetic algorithm approach to the design of cellular manufacturing systems [J]. International Journal of Production Research 2004a,42 (7): 1419-1441.
[181]Wu, X., Chao-Hsien, C., Wang, Y., Yan, W. A genetic algorithm for cellular manufacturing design and layout [J]. European Journal of Operational Research,2007,181(1):156-167.
[182]Tariq, A., Hussain, I., Ghafoor, A. A hybrid genetic algorithm for machinepart grouping[J]. Computers & Industrial Engineering,2009,56:347-356.
[183]Tunnukij, T., Hicks, C., An enhanced grouping genetic algorithm for solving the cell formation problem. International Journal of Production Research,2009,47(7):1989-2007.
[184]Mahdavi, I., Paydar, M. M., Solimanpur, M., Heidarzade, A. Genetic algorithm approach for solving a cell formation problem in cellular manufacturing [J]. Expert Systems with Applacation, 2001,39(1-2):125-144.
[185]Molleman, E., Slomp. J. Functional flexibility and team performance [J]. International Journal of Production Research,1999,37(8):1837-1858.