Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts

Hamedi, M.; Ismail, N.; Esmaeilian, G.; Ariffin, M.

Growing Science » International Journal of Industrial Engineering Computations » Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 3 Issue 2 pp. 265-276 , 2012

Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts Pages 265-276 Download PDF

Authors: M Hamedi, N Ismail, GR Esmaeilian, MKA Ariffin

DOI: 10.5267/j.ijiec.2011.07.002

Keywords: Resource-Element, Cell Capacity Utilization, Distributed Layout, Functional layout, Manufacturing systems, Virtual cellular Manufacturing systems

Abstract: This research aims to present how choosing a suitable layout can improve the performance of virtual cellular manufacturing systems (VCMSs), especially minimizing the material flow between machines required by each family group. To present the efficacy of basic layouts on performances of VCMSs, a multi-objective mathematical model with a goal programming (GP) approach is developed to generate VCMSs based on resource-elements (REs). The formulated model is coded in Lingo software and is run over functional and distributed arrangements of the same machines. The performance and the validity of the developed model are checked by a numerical example taken from the literature. The objective function of the mathematical model is measured for that example over two mentioned layout to compare the performance of the generated systems. Moreover, because of the material handling costs importance, material flows are measured to find the best option as a basic layout for VCMSs. To compare the performance of the generated system with the classical cellular manufacturing system (CMS), cell capacity utilization (CCU) is employed as an independent criterion to evaluate each system. The result illustrates the priority of distributed layouts for generating RE-based VCMSs because of its flexibility, minimizing the objective function for the mathematical model, and smaller material flow by the components. In addition, the generated VCMSs outperforms the classical CMS from the CCU point of view.

How to cite this paper

 Hamedi, M., Ismail, N., Esmaeilian, G & Ariffin, M. (2012). Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts.International Journal of Industrial Engineering Computations , 3(2), 265-276.

Refrences

Babu, A. S., Nandurkar, K. N., & Thomas, A. (2000). Development of virtual cellular manufacturing systems for SMEs. Logistics Information Management, 13 (4), 228-242.

Baykasoglu, A. (2003). Capability-based distributed layout approach for virtual manufacturing cells. International Journal of Production Research, 41(11), 2597-2618.

Baykasoglu, A., & Gindy, N. N. Z. (2000). MOCACEF 1.0: Multiple objective capability based approach to form part-machine groups for cellular manufacturing applications. International Journal of Production Research, 38(5), 1133-1161.

Benajaafar, S. (1995). Design of flexible layouts for manufacturing systems. Paper presented at the 95 Engineering Management Conference, Global Engineering Management: Emerging Trends in the Asia Pacific.

Benjaafar, S., Heragu, S. S., & Irani, S. A. (2002). Next generation factory layouts: Research challenges and recent progress. Interfaces, 32(6), 58-76.

Drolet, J. R. (1989). Scheduling virtual cellular manufacturing systems. Unpublished Ph.D. Thesis, Purdue University, West Lafayette, IN.

Fung, R. Y. K., Liang, F., Jiang, Z., & Wong, T. N. (2008). A multi-stage methodology for virtual cell formation oriented agile manufacturing. International Journal of Advance Manufacturing Technology, 36, 798-810.

Irani, S. A., Cayalier, T. M., & Cohen, P. H. (1993). Virtual manufacturing cells: exploiting layout design and intercell flows for the machine sharing problem. International Journal of Production Research, 31(4), 791-810.

Kannan, V. R. (1997). A simulation analysis of the impact of family configuration on virtual cellular manufacturing. Production Planning & Control, 8(1), 14-24.

Kannan, V. R. (1998). Analysing the trade-off between efficiency and flexibility in cellular manufacturing systems. Production Planning & Control, 9(6), 572-579.

Kannan, V. R., & Ghosh, S. (1996a). Cellular manufacturing using virtual cells. International Journal of Operations & Production Management, 16(5), 99-112.

Kannan, V. R., & Ghosh, S. (1996b). A virtual cellular manufacturing approach to batch production. Decision Sciences, 27(3), 519-539.

Khilwani, N., Ulutas, B. H., Islier, A. A., & Tiwari, M. K. (2009). A methodology to design virtual cellular manufacturing systems. Journal of Intelligent Manufacturing, 1-12. DOI 10.1007/s10845-009-0314-6.

Ko, K.-C., & Egbelu, P. J. (2003). Virtual cell formation. International Journal of Production Research, 41(11), 2365-2389.

Lahmar, M., & Benjaafar, S. (2005). Design of distributed layouts. IIE Transactions, 37(4), 303-318.

Mak, K. L., Lau, J. S. K., & Wang, X. X. (2005). A genetic scheduling methodology for virtual cellular manufacturing systems: an industrial application. International Journal of Production Research, 43(12), 2423-2450.

Mak, K. L., Peng, P., Wang, X. X., & Lau, T. L. (2007). An ant colony optimization algorithm for scheduling virtual cellular manufacturing systems. International Journal of Computer Integrated Manufacturing, 20(6), 524 - 537.

Montreuil, B., Venkatadri, U., & Lefrancois, P. (1991). Holographic layout of manufacturing systems. Paper presented at the 19th IIE Systems Integration Conference, Orlando, Florida, USA.

Rezazadeh, H., Ghazanfari, M., Sadjadi, S. J., Aryanezhad, M. B., & Makui, A. (2009). Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems. Journal of Applied Research and Technology, 7 (1), 83-108.

Saad, S. M., Baykasoglu, A., & Gindy, N. N. Z. (2002). An integrated framework for reconfiguration of cellular manufacturing systems using virtual cells. Production Planning & Control, 13(4), 381-393.

Slomp, J., Chowdary, B. V., & Suresh, N. C. (2005). Design of virtual manufacturing cells: a mathematical programming approach. Robotics and Computer-Integrated Manufacturing, 21, 273-288.

Xambre, A. R., & Vilarinho, P. M. (2007). Virtual Manufacturing Cell Formation Problem (VMCFP) In a Distributed Layout. Paper presented at the ICPR19 - 19th International Conference on Production Research, Valparaiso, Chile.