Browse > Article

Integrated mathematical programming Approach of Cell formation and facility layout in cellular manufacturing  

Lee Sang-Wan (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Kim Hae-Sik (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Cho Sung-Youl (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.28, no.2, 2005 , pp. 94-100 More about this Journal
Abstract
This paper presents the application of integrated mathematical programming approach for the design of cellular manufacturing. The proposed approach is carried out in two phases The first phase concerning exceptional elements(EEs) in cell formation and the second phase facilities layout design. This paper considers the total costs of three important costs for (1) intercellular transfer (2) machine duplication and (3) subcontracting. One of Important issue is the calculation of the number of machines considering the maximum utilization of machines and the available capacity of a machines that can be transferred between cells. Facilities layout design is considered to reflect the real field data taking in to account the operational sequence of the parts to be manufactured. The model is formulated as mixed integer programming that is employed to find the optimal solution.
Keywords
Cell formation; Exceptional elements; mixed integer programming;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Shafer, S. M., Kern, G. M., and Wei, J. C., ; 'Mathematical programming approach for dealing with exceptional elements in cellular manufacturing,' International Journal of Production Research(IJPR)., 30(1) : 1029-1036, 1992   DOI   ScienceOn
2 Chao-Hisen Chu and Jack C. Hayya., 'A fuzzy clustering approach to manufacturing cell formation,' ; IJPR, 29(1) : 1475-1487, 1991   DOI   ScienceOn
3 Fabian C. and Stoica M., 'Fuzzy integer programming in TIMS/Studies in the Management Science,' Amsterdam, Elsevier Science, pp. 123-131, 1984
4 Selim, H. M., Askin, R. G. and Vakharia, A. J., ; 'Cell formation in Group Technology: Review, Evaluation and Directions for Future Research,' Computers Industrial Engineering, 34(1) : 3-20, 1998   DOI   ScienceOn
5 Wei, J. C. and Gaither, N., ; 'An optimal model for cell formation decisions,' Decision Sciences, 21(2): 416-433, 1990   DOI
6 Boctor, F. F., ; 'A Linear formulation of the machine-prat cell formation problem,' IJPR, 29(1): 343-356, 1990   DOI
7 Heragu, S.S., ; 'Group technology and cellular manufacturing,' IEEE Transactions on Systems, Man and Cybernetics., 24(1) : 203-215, 1994   DOI   ScienceOn
8 Chu, C. H., ; 'Clustering Analysis in Manufacturing Cellular Formation,' OMEGA : International Journal of Manufacturing Sciences, 17(1) : 289-295, 1989   DOI   ScienceOn
9 M.Bazargan-Lari, H.Kaebernick and A.Harraf., ; 'Cell formation and layout designs in a cellular manufacturing environment-a case study,' International Journal of Production Research., 38(1): 1689-1709, 2000   DOI   ScienceOn
10 Tsai, Chang-Chun., ; 'Manufacturing cell formation in a fuzzy enviroment,' Ph.D Dissertation, The Iowa State University., Iowa, USA, 1995
11 Buckle J. J., ; 'Solving possibilistic linear programming problems,' Fuzzy Sets and Systems, 31(1) : 329-341, 1989   DOI   ScienceOn