Modelling the factors affecting flexibility in FMS

被引:30
作者
Raj, Tilak [1 ]
Attri, Rajesh [1 ]
Jain, Vineet [2 ]
机构
[1] Department of Mechanical Engineering, YMCA Institute of Engineering, Faridabad 121 006, Haryana, Sector-6, Mathura Road
[2] Department of Mechanical Engineering, Gurgaon Institute of Technology and Management, Gurgaon 122413, Bilaspur-Tauru Road
关键词
Factors; Flexibility; Flexible manufacturing system; FMS; Interpretive structural modelling; ISM;
D O I
10.1504/IJISE.2012.047542
中图分类号
学科分类号
摘要
Today's dynamic market has forced the manufacturing managers to take interest in flexibility which bestows on an industry to respond promptly to market opportunities and changing technologies. The development of capabilities to be flexible rests on the mandate of top management, helps industries to manage market uncertainties and tends to enhance manufacturing performance. Manufacturing organisations are looking at flexible manufacturing system (FMS) as a viable alternative to enhance their competitive edge. There are, however, some factors affecting the flexibility of FMS. The aim of this research is to analyse and identify those factors which influence some other factors in a big way (called driving factors) and those which are most influenced by the others (called dependent factors). In this paper, these factors have been identified through literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilised in analysing their mutual relationships. An ISM model of these factors has been prepared to identify some key factors and their managerial implications. © 2012 Inderscience Enterprises Ltd.
引用
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页码:350 / 374
页数:24
相关论文
共 61 条
  • [1] Abdi M.R., Labib A.W., Feasibility study of the tactical design justification for reconfigurable manufacturing systems using the fuzzy analytical hierarchical process, Int. J. Production Research, 42, 15, pp. 3055-3076, (2004)
  • [2] Agarwal A., Shankar R., Tiwari M.K., Modeling agility of supply chain, Industrial Marketing Management, 36, pp. 443-457, (2007)
  • [3] Asada H., By A.B., Kinematic analysis and design for automatic workpart fixturing in flexible assembly, Proceedings of the 2nd International Symposium of Robotics Research, pp. 50-56, (1984)
  • [4] Azzone G., Bertele U., Measuring the economic effectiveness of flexible automation: A new approach, Int. J. Production Research, 27, pp. 735-746, (1989)
  • [5] Bausch J.J., Youcef-Toumi K., Kinematic methods for automated fixture reconfiguration planning, Proceedings of IEEE Robotics and Automation Conference, (1990)
  • [6] Bayazit O., Use of AHP in decision-making for flexible manufacturing systems, Journal of Manufacturing Technology Management, 16, 7, pp. 808-819, (2005)
  • [7] Beskese A., Kahraman C., Irani Z., Quantification of flexibility in advanced manufacturing systems using fuzzy concept, Int. J. Production Economics, 89, pp. 45-56, (2004)
  • [8] Bolanos R., Fontela E., Nenclares A., Paster P., Using interpretive structural modeling in strategic decision making groups, Management Decision, 43, 6, pp. 877-895, (2005)
  • [9] Browne J., Dubois D., Rathmill K., Sethi S.P., Stecke K., Classification of flexible manufacturing systems, The FMS Magazine, pp. 114-117, (1984)
  • [10] Buzzacott J.A., The fundamental principles of flexibility in manufacturing systems, Proceedings of First International Conference on Flexible Manufacturing Systems, pp. 13-22, (1982)