Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31103
Considering Assembly Operations and Product Structure for Manufacturing Cell Formation

Authors: M.B. Aryanezhad, J. Aliabadi


This paper considers the integration of assembly operations and product structure to Cellular Manufacturing System (CMS) design so that to correct the drawbacks of previous researches in the literature. For this purpose, a new mathematical model is developed which dedicates machining and assembly operations to manufacturing cells while the objective function is to minimize the intercellular movements resulting due to both of them. A linearization method is applied to achieve optimum solution through solving aforementioned nonlinear model by common programming language such as Lingo. Then, using different examples and comparing the results, the importance of integrating assembly considerations is demonstrated.

Keywords: Genetic Algorithm, Assembly operations and Product structure, CellFormation

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1298


[1] Purcheck, G.F.K., (1974) "A mathematical classification as a basis for the design of group technology production cells", Production Engineer 54: 35-48.
[2] Albadawi Z., Bashir H.A. & Chen M., (2005) "A mathematical approach for the formation of manufacturing cells", Computers and Industrial Engineering 48 (1): 3-21.
[3] Shafer, S.M., Kern, G.M., Wei, J.C., (1992) "A mathematical programming approach for dealing with exceptional elements in cellular manufacturing", International Journal of Production Research, 30: 1029-1036.
[4] Wang J., (2003) "Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm", Automatica 39 (9): 1607-1615.
[5] Johnson, D. J. (2005) "Converting assembly lines to assembly cells at Sheet Metal Products: insights on performance improvements", International Journal of Production Research, 43(7): 1483-1509
[6] Sengupta K. and Jacobs F. R., (2004) "Impact of work teams: a comparison study of assembly cells and assembly line for a variety of operating environments", International Journal of Production Research, 42 (19): 4173-4193
[7] Gravel M., Price W. and Gange C., (2000) "An interactive tool for designing manufacturing cells for an assembly job-shop"; International Journal of Production Research, 38(2): 309- 322.
[8] Bonneville, F., Perrard, C., & Henrioud, J. M. (1995). "A genetic algorithm to generate and evaluate assembly plans" Proceedings INRIA/IEEE Symposium on Emerging Technologies and Factory Automation, Paris, 231-239.
[9] Panchalavarapu P. R. and Chankong V., (2005) "Design of cellular manufacturing systems with assembly considerations", Computers & Industrial Engineering 48: 449-469
[10] McCormick, W. T., Schweitzer, P. J., & White, T. W. (1972). Problem decomposition data reorganization by a clustering technique. Operation Research, 20(5), 993-1009.
[11] Xiaodan W., Chu C.H., Wang Y., Yan W., (2007) "A genetic algorithm for cellular manufacturing design and layout" European Journal of Operational Research 181,156-167.
[12] Heragu, S. S. (1997) "Facilities Design", Boston: PWS Publishing Company.
[13] Irani S., (1999) "Handbook of Cellular Manufacturing Systems" New York, NY: John Wiley & Sons, Inc.
[14] Singh, N. and Rajamaani, D. (1996) "Cellular Manufacturing Systems: Design, Planning and Control" Chapman and Hall, New York.
[15] Chan, H. and Milner, D. (1982) "Direct Clustering Algorithm for Group Formation in Cellular Manufacture". Journal of Manufacturing Systems, 1(1):64-76.
[16] McAuley J. (1972) "Machine grouping for efficient production" The Production Engineer; 51: 53-7.