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An Evaluation For Cell Formation Methods

Year 2004, Volume: 17 Issue: 2, 1 - 16, 31.12.2004

Ezgi Aktar Demirtaş

Abstract

Today’s manufacturing industry is facing strong competition in providing high quality and low cost products to ever demanding consumers. Cellular manufacturing is one of the widely used approaches to improve manufacturing productivity to achieve this purpose. The most important step for cellular manufacturing system design is cell formation. In this paper, recent studies in cell formation are mentioned and the hints are given about studies directed to the future. Finally, by considering the problems encountered in applications, it is emphasized that why theoretical studies are insufficient in practice.

Keywords

Cellular Manufacturing Multi-criteria Cell Design Soft Computingbased Approaches

References

  • [1] Seifoddini, H. ve Tjahjana, B., “Part-family formation for cellular manufacturing: a case study at Harnischfeger”, International Journal of Production Research, 37, 14, pp. 3263-3273, 1999.
  • [2] Da Silveira, G., “A methodology of implementation of cellular manufacturing”, International Journal of Production Research, 37, 2, pp. 467-479, 1999.
  • [3] Wemmerlöv, U., Hyer, N., “Cellular manufacturing in the US industry: a survey of users”, International Journal of Production Research, 27, 9, pp. 1511-1530, 1989.
  • [4] Wemmerlöv, U., Hyer, N., “Cellular manufacturing at 46 user plants: implementation experiences and performance improvements”, International Journal of Production Research, 35,1, pp. 29-49, 1997.
  • [5] Durmuşoğlu, M.B., Onbaşlı, Ş., “A Field Study on Measuring The Lean Maturity Level in Manufacturing Firms in Turkey", 2nd International Conferance on “Responsive Manufacturing”, Haziran 2002, Gaziantep, Bildiri kitabı, pp. 61-66.
  • [6] Atalay, N., Birbil, D., Demir, N., Yıldırım, Ş., “Kobi’lerin Esnek Üretim Sistemleri Yönünden İrdelenmesi ve Bir Uygulama”, Milli Prodüktivite Merkezi Yayınları, Ankara, 1998.
  • [7] Klincewicks, J.G., Rajan, A., “Using GRASP to solve the component grouping problem”, Naval Research Logistics, 41, pp. 893-912, 1994.
  • [8] Joines, J.A., Culbreth, C.T., King, R.E., “Manufacturing cell design: an integer programming model employing genetic algorithms”, IIE Transactions, 28, pp. 69- 85, 1996.
  • [9] Xambre, A.R., Vilarinho, P.M., “A simulated annealing approach for manufacturing cell formation with multiple identical machines”, European Journal of Operational Research, 151, pp.434-446, 2003.
  • [10] Lozano, S., Dobado, D., Larraneta, J., Onieva, L., “Modified fuzzy C-means algorithm for cellular manufacturing”, Fuzzy Sets and Systems, 126, pp.23-32, 2002.
  • [11] Kutub Uddin, M., Shanker, K., “Grouping of parts and machines in presence of alternative process routes by genetic algorithm”, International Journal of Production Economics, 76, pp.219-228, 2002.
  • [12] Plaquin, M., Pierreval, H., “Cell formation using evolutionary algorithms with certain constraints”, International Journal of Production Economics, 64, pp.267-278, 2000.
  • [13] Caux, C., Bruniaux, R., Pierreval, H., “Cell formation with alternative process plans and machine capacity constraints: A new combined approach”, International Journal of Production Economics, 64, pp.279-284, 2000.
  • [14] Adenso-Diaz, B., Lozano, S., Racero, J., Guerrero, F., “Machine cell formation in generalized group technology”, Computers and Industrial Engineering, 41, pp.227-240, 2001.
  • [15] Guerrero, F., Lozano, S., Smith, K., Canca, D., Kwok, T., “Manufacturing cell formation using a new self-organizing neural network”, Computers and Industrial Engineering, 42, pp.377-382, 2002.
  • [16] Kuo, R.J., Chi, S.C., Teng, P.W., “Generalized part family formation through fuzzy self-organizing feature map neural network”, Computers and Industrial Engineering, 40, pp.79-100, 2001.
  • [17] Kao, Y., Moon, Y.B., “A Unified group technology implementation using the backpropagation learning rule of neural networks”, Computers and Industrial Engineering, 20, pp. 425-437, 1991.
  • [18] Kaparthi, S., Suresh, N.C., “A neural network system for shape-based classification and coding of rotational parts”, International Journal of Production Research, 29, pp. 1771-1784, 1991.
  • [19] Askin, R.G., Cresswell, S.H., Goldberg, J.B., Vakharia, A., “A Hamiltonion path approach to reordering the part machine matrix for cellular manufacturing”, International Journal of Production Research, 29, pp. 1081-1100, 1991.
  • [20] Lee, H., Garcia-Diaz, A., “A network flow approach to solve clustering problems in group technology”, International Journal of Production Research, 31, pp. 603-612, 1993.
  • [21] Kusiak, A., Boe, W.J., Cheng, C.H., “Designing cellular manufacturing systems: branch and bound and A* approaches”, IIE Transactions, 25, pp. 46-56, 1993.
  • [22] Kaparthi, S., Suresh, N.C., “Machine-component cell formation in group technology: a neural network approach”, International Journal of Production Research, 30, pp. 1353-1367, 1992.
  • [23] Kaparthi, S., Suresh, N.C., Cerveny, R.P., “An improved neural network leader algorithm for part-machine grouping in group technology”, European Journal of Operational Research, 69, pp. 342-356, 1993.
  • [24] Suresh, N.C., Kaparthi, S., “Performance of fuzzy ART neural network for group technology cell formation”, International Journal of Production Research, 32, pp. 1693-1713, 1994.
  • [25] Mukopadhyay, S.K., Sarkar, P., Panda, R.P., “Machine-component grouping in cellular manufacturing by dimensional scaling”, International Journal of Production Research, 32, pp. 457-477, 1994.
  • [26] Chen, C.Y., Irani, S.A., “Cluster first sequence last heuristics for generating block diagonal forms for a machine-part matrix”, International Journal of Production Research, 31, pp. 2623-2647, 1993.
  • [27] Venugopal, V. And Narendran, T.T., “Cell formation in manufacturing systems trough simulated annealing: An experimental evaluation”, European Journal of Operational Research, 63, pp. 409-422, 1992.
  • [28] Song, S., Hitomi, K., “GT cell formation for minimising the intercell parts flow”, International Journal of Production Research, 30, pp. 2737-2753, 1992.
  • [29] Amirahmadi, F., Coobineh, F., “Identifying the composition of a cellular manufacturing system”, International Journal of Production Research, 34, pp. 2471- 2488, 1996.
  • [30] Gupta, Y., Gupta, M., Kumar, A., Sundaram, C., “Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach”, International Journal of Computer Integrated Manufacturing, 8, pp. 92-101, 1995.
  • [31] Gupta, Y., Gupta, M., Kumar, A., Sundaram, C., “A genetic algorithm-based approach to cell composition and layout design problems”, International Journal of Production Research, 34, 2, pp. 447-482, 1996.
  • [32] Suresh, N.C., Slomp, J., Kaparthi, S., “The capacitated cell formation problem: a new hierarchical methodology”, International Journal of Production Research, 33, 6, pp. 1761-1784, 1995.
  • [33] Aktürk, M.S., Balköse, H.O., “Part-machine grouping using a multi-objective cluster analysis”, International Journal of Production Research, 34, 8, pp. 2299- 2315, 1996.
  • [34] Boctor, F.F., “The minumum cost, machine-part cell formation problem”, International Journal of Production Research, 34, 4, pp. 1045-1063, 1996.
  • [35] Ho, Y.C., Moodie, C.L., “Solving cell formation problems in a manufacturing environment with flexible processing and routing capabilities”, International Journal of Production Research, 34, 10, pp. 2901-2923, 1996.
  • [36] Rajamani, D., Singh, N. Ve Aneja, Y.P., “Design of cellular manufacturing systems”, International Journal of Production Research, 34, 7, pp. 1917-1928, 1996.
  • [37] Lee, S.D., Chen, Y.L., “A weighted approach for cellular manufacturing design: minimizing intercell movement and balancing workload among duplicated machines”, International Journal of Production Research, 35, 4, pp. 1125-1146, 1997.
  • [38] Su, C.T., Hsu, C.M., “Multi-objective machine-part cell formation through parallel simulated annealing”, International Journal of Production Research, 36, 8, pp. 2185-2207, 1998.
  • [39] Zhao, C.W., Wu, Z.M., “A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives”, International Journal of Production Research, 38, 2, pp. 385-395, 2000.
  • [40] Mukattash, A.M., Adil M.B., Tahboub K.K., “Heuristic approaches for part assignment in cell formation”, Computers and Industrial Engineering, 42, 2-4, pp. 329-341, 2002.
  • [41] Cao, D., Chen, M., “Using penalty function and Tabu search to solve cell formation problems with fixed cell cost”, Computers and Operations Research, 31, pp.21-37, 2004.
  • [42] Güngör, Z., Arıkan, F., “Application of fuzzy decision making in part-machine grouping”, International Journal of Production Economics, 63, pp.181-193, 2000.
  • [43] Lozano, S., Canca, D., Guerrero, F., Garcia, J.M., “Machine grouping using sequence-based similarity coefficients and neural networks”, Robotics and Computer Integrated Manufacturing, 17, pp.399-404, 2001.
  • [44] Mansouri, S.A., Husseini, S.M. ve Newman, S.T., “A review of the modern approaches to multi-criteria cell design”, International Journal of Production Research, 38, 5, pp. 1201-1218, 2000.
  • [45] Venugopal, V., “Soft-computing-based approaches to the group technology problem: a state-of-art-review”, International Journal of Production Research, 37,14, pp. 3335-3357, 1999.
  • [46] Selim, H.M., Askin, R.G., Vakharia, A.J., “Cell formation in group technology: review, evaluation and directions for future research”, Computers and Industrial Engineering, 34, 1, pp. 3-20, 1998.
  • [47] Sankaran, S., “Multiple objective decision making approach to cell formation: a goal programming model”, Mathematical and Computer Modeling, 13, 9, pp. 71-81, 1990.
  • [48] Sankaran, S., Kasilingam, R.G., “An integrated approach to cell formation and part routing in group technology manufacturing systems”, Engineering Optimization, 16, pp.235-245, 1990.
  • [49] Wei, J.C., Gaither, N., “A capacity constrained multiobjective cell formation method”, Journal of Manufacturing Systems, 9, pp. 222-232, 1990.
  • [50] Shafer, S.M., Rogers, D.F., “A goal programming approach to the cell formation problem”, Journal of Operations Management, 10, 1, pp. 28-43, 1991.
  • [51] Shafer, S.M., Kern, G.M., Wei, J.C., “A mathematical programming approach for dealing with exceptional elements in cellular manufacturing”, International Journal of Production Research, 30, pp. 1029-1036, 1992.
  • [52] Venugopal, V., Narendran, T.T., “A genetic algorithm approach to the machinecomponent grouping problem with multiple objectives”, Computers and Industrial Engineering, 22, 4, pp. 469-480, 1992.
  • [53] Dahel, N.E., Smith, S.B., “Designing flexibility into cellular manufacturing systems”, International Journal of Production Research, 31, pp. 933-945, 1993.
  • [54] Logendran, R., “A binary integer programming approach for simultaneous machine-part grouping in cellular manufacturing systems”, Computers and Industrial Engineering, 24, 3, pp. 329-336, 1993.
  • [55] Min, H., Shin, D., “Simultaneous formation of machine and human cells in group technology: a multiple objective approach”, International Journal of Production Research, 31, pp. 2307-2318, 1993.
  • [56] Sankaran, S., Kasilingam, R.G., “On cell size and machine requirements planning in group technology”, European Journal of Operational Research, 69, 3, pp. 373-383, 1993.
  • [57] Ferreira, J.F., Riberio, C., Paradin, B., “A methodology for cellular manufacturing design”, International Journal of Production Research, 31, pp. 235- 250, 1993.
  • [58] Vakharia, A.J., Kaku, B.K., “An investigation of the impact of demand changes on a cellular manufacturing system”, Decision Sciences, 24, pp. 909-930, 1993.
  • [59] Liang, M., Taboun, S.M., “Converting functional manufacturing systems into focused machine cells-a bicriterion approach”, International Journal of Production Research, 33, pp. 2147-2161, 1996,
  • [60] İşlier, A., “Üretim Hücrelerinin Bir Genetik Algoritma Kullanılarak Oluşturulması”, Anadolu Üniversitesi Bilim ve Teknoloji Dergisi, 2, 1, ss. 137-157, 2001.
  • [61] Asokan, P., Prabhakaran, G., kumar, G.S., “Machine-cell grouping in cellular manufacturing systems using non-traditional optimization techniques-a comparative study”, International Journal of Advanced Manufacturing Technology, 18, pp.140- 147, 2001.
  • [62] Ming-Liang, L., “The algorithm for integrating all incidence matrices in multidimensional group technology”, International Journal of Production Economics, 86, pp.121-131, 2003.
  • [63] Chakravorty, S.S., Douglas, N.H., “Implications of cell design implementation: A case study and analysis”, European Journal of Operational Research, 152, pp.602- 614, 2004.

Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme

Year 2004, Volume: 17 Issue: 2, 1 - 16, 31.12.2004

Ezgi Aktar Demirtaş

Abstract

Günümüzde işletmelerin varlıklarını sürdürebilmeleri, yüksek kalitedeki ürünleri düşük maliyetle müşteriye sunabilmelerine bağlıdır. Bu amaca ulaşabilmek için yaygın olarak kullanılan yaklaşımlardan biri de hücresel üretimdir. Hücresel üretim sistemlerinin tasarımındaki en önemli adım ise hücre oluşturma aşamasıdır. Bu makalede; hücre oluşturma yöntemlerine ilişkin son yıllardaki gelişmelerden bahsedilerek geleceğe yönelik çalışmaların nasıl olması gerektiği konusunda ipuçları verilmiştir. Ayrıca, uygulamada karşılaşılan sorunlar ele alınarak, teorik çalışmaların niçin yetersiz kaldığı üzerinde durulmuştur.

Keywords

Hücresel Üretim Çok Ölçütlü Hücre Tasarımı Yumuşak Hesaplama Yöntemleri

References

  • [1] Seifoddini, H. ve Tjahjana, B., “Part-family formation for cellular manufacturing: a case study at Harnischfeger”, International Journal of Production Research, 37, 14, pp. 3263-3273, 1999.
  • [2] Da Silveira, G., “A methodology of implementation of cellular manufacturing”, International Journal of Production Research, 37, 2, pp. 467-479, 1999.
  • [3] Wemmerlöv, U., Hyer, N., “Cellular manufacturing in the US industry: a survey of users”, International Journal of Production Research, 27, 9, pp. 1511-1530, 1989.
  • [4] Wemmerlöv, U., Hyer, N., “Cellular manufacturing at 46 user plants: implementation experiences and performance improvements”, International Journal of Production Research, 35,1, pp. 29-49, 1997.
  • [5] Durmuşoğlu, M.B., Onbaşlı, Ş., “A Field Study on Measuring The Lean Maturity Level in Manufacturing Firms in Turkey", 2nd International Conferance on “Responsive Manufacturing”, Haziran 2002, Gaziantep, Bildiri kitabı, pp. 61-66.
  • [6] Atalay, N., Birbil, D., Demir, N., Yıldırım, Ş., “Kobi’lerin Esnek Üretim Sistemleri Yönünden İrdelenmesi ve Bir Uygulama”, Milli Prodüktivite Merkezi Yayınları, Ankara, 1998.
  • [7] Klincewicks, J.G., Rajan, A., “Using GRASP to solve the component grouping problem”, Naval Research Logistics, 41, pp. 893-912, 1994.
  • [8] Joines, J.A., Culbreth, C.T., King, R.E., “Manufacturing cell design: an integer programming model employing genetic algorithms”, IIE Transactions, 28, pp. 69- 85, 1996.
  • [9] Xambre, A.R., Vilarinho, P.M., “A simulated annealing approach for manufacturing cell formation with multiple identical machines”, European Journal of Operational Research, 151, pp.434-446, 2003.
  • [10] Lozano, S., Dobado, D., Larraneta, J., Onieva, L., “Modified fuzzy C-means algorithm for cellular manufacturing”, Fuzzy Sets and Systems, 126, pp.23-32, 2002.
  • [11] Kutub Uddin, M., Shanker, K., “Grouping of parts and machines in presence of alternative process routes by genetic algorithm”, International Journal of Production Economics, 76, pp.219-228, 2002.
  • [12] Plaquin, M., Pierreval, H., “Cell formation using evolutionary algorithms with certain constraints”, International Journal of Production Economics, 64, pp.267-278, 2000.
  • [13] Caux, C., Bruniaux, R., Pierreval, H., “Cell formation with alternative process plans and machine capacity constraints: A new combined approach”, International Journal of Production Economics, 64, pp.279-284, 2000.
  • [14] Adenso-Diaz, B., Lozano, S., Racero, J., Guerrero, F., “Machine cell formation in generalized group technology”, Computers and Industrial Engineering, 41, pp.227-240, 2001.
  • [15] Guerrero, F., Lozano, S., Smith, K., Canca, D., Kwok, T., “Manufacturing cell formation using a new self-organizing neural network”, Computers and Industrial Engineering, 42, pp.377-382, 2002.
  • [16] Kuo, R.J., Chi, S.C., Teng, P.W., “Generalized part family formation through fuzzy self-organizing feature map neural network”, Computers and Industrial Engineering, 40, pp.79-100, 2001.
  • [17] Kao, Y., Moon, Y.B., “A Unified group technology implementation using the backpropagation learning rule of neural networks”, Computers and Industrial Engineering, 20, pp. 425-437, 1991.
  • [18] Kaparthi, S., Suresh, N.C., “A neural network system for shape-based classification and coding of rotational parts”, International Journal of Production Research, 29, pp. 1771-1784, 1991.
  • [19] Askin, R.G., Cresswell, S.H., Goldberg, J.B., Vakharia, A., “A Hamiltonion path approach to reordering the part machine matrix for cellular manufacturing”, International Journal of Production Research, 29, pp. 1081-1100, 1991.
  • [20] Lee, H., Garcia-Diaz, A., “A network flow approach to solve clustering problems in group technology”, International Journal of Production Research, 31, pp. 603-612, 1993.
  • [21] Kusiak, A., Boe, W.J., Cheng, C.H., “Designing cellular manufacturing systems: branch and bound and A* approaches”, IIE Transactions, 25, pp. 46-56, 1993.
  • [22] Kaparthi, S., Suresh, N.C., “Machine-component cell formation in group technology: a neural network approach”, International Journal of Production Research, 30, pp. 1353-1367, 1992.
  • [23] Kaparthi, S., Suresh, N.C., Cerveny, R.P., “An improved neural network leader algorithm for part-machine grouping in group technology”, European Journal of Operational Research, 69, pp. 342-356, 1993.
  • [24] Suresh, N.C., Kaparthi, S., “Performance of fuzzy ART neural network for group technology cell formation”, International Journal of Production Research, 32, pp. 1693-1713, 1994.
  • [25] Mukopadhyay, S.K., Sarkar, P., Panda, R.P., “Machine-component grouping in cellular manufacturing by dimensional scaling”, International Journal of Production Research, 32, pp. 457-477, 1994.
  • [26] Chen, C.Y., Irani, S.A., “Cluster first sequence last heuristics for generating block diagonal forms for a machine-part matrix”, International Journal of Production Research, 31, pp. 2623-2647, 1993.
  • [27] Venugopal, V. And Narendran, T.T., “Cell formation in manufacturing systems trough simulated annealing: An experimental evaluation”, European Journal of Operational Research, 63, pp. 409-422, 1992.
  • [28] Song, S., Hitomi, K., “GT cell formation for minimising the intercell parts flow”, International Journal of Production Research, 30, pp. 2737-2753, 1992.
  • [29] Amirahmadi, F., Coobineh, F., “Identifying the composition of a cellular manufacturing system”, International Journal of Production Research, 34, pp. 2471- 2488, 1996.
  • [30] Gupta, Y., Gupta, M., Kumar, A., Sundaram, C., “Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach”, International Journal of Computer Integrated Manufacturing, 8, pp. 92-101, 1995.
  • [31] Gupta, Y., Gupta, M., Kumar, A., Sundaram, C., “A genetic algorithm-based approach to cell composition and layout design problems”, International Journal of Production Research, 34, 2, pp. 447-482, 1996.
  • [32] Suresh, N.C., Slomp, J., Kaparthi, S., “The capacitated cell formation problem: a new hierarchical methodology”, International Journal of Production Research, 33, 6, pp. 1761-1784, 1995.
  • [33] Aktürk, M.S., Balköse, H.O., “Part-machine grouping using a multi-objective cluster analysis”, International Journal of Production Research, 34, 8, pp. 2299- 2315, 1996.
  • [34] Boctor, F.F., “The minumum cost, machine-part cell formation problem”, International Journal of Production Research, 34, 4, pp. 1045-1063, 1996.
  • [35] Ho, Y.C., Moodie, C.L., “Solving cell formation problems in a manufacturing environment with flexible processing and routing capabilities”, International Journal of Production Research, 34, 10, pp. 2901-2923, 1996.
  • [36] Rajamani, D., Singh, N. Ve Aneja, Y.P., “Design of cellular manufacturing systems”, International Journal of Production Research, 34, 7, pp. 1917-1928, 1996.
  • [37] Lee, S.D., Chen, Y.L., “A weighted approach for cellular manufacturing design: minimizing intercell movement and balancing workload among duplicated machines”, International Journal of Production Research, 35, 4, pp. 1125-1146, 1997.
  • [38] Su, C.T., Hsu, C.M., “Multi-objective machine-part cell formation through parallel simulated annealing”, International Journal of Production Research, 36, 8, pp. 2185-2207, 1998.
  • [39] Zhao, C.W., Wu, Z.M., “A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives”, International Journal of Production Research, 38, 2, pp. 385-395, 2000.
  • [40] Mukattash, A.M., Adil M.B., Tahboub K.K., “Heuristic approaches for part assignment in cell formation”, Computers and Industrial Engineering, 42, 2-4, pp. 329-341, 2002.
  • [41] Cao, D., Chen, M., “Using penalty function and Tabu search to solve cell formation problems with fixed cell cost”, Computers and Operations Research, 31, pp.21-37, 2004.
  • [42] Güngör, Z., Arıkan, F., “Application of fuzzy decision making in part-machine grouping”, International Journal of Production Economics, 63, pp.181-193, 2000.
  • [43] Lozano, S., Canca, D., Guerrero, F., Garcia, J.M., “Machine grouping using sequence-based similarity coefficients and neural networks”, Robotics and Computer Integrated Manufacturing, 17, pp.399-404, 2001.
  • [44] Mansouri, S.A., Husseini, S.M. ve Newman, S.T., “A review of the modern approaches to multi-criteria cell design”, International Journal of Production Research, 38, 5, pp. 1201-1218, 2000.
  • [45] Venugopal, V., “Soft-computing-based approaches to the group technology problem: a state-of-art-review”, International Journal of Production Research, 37,14, pp. 3335-3357, 1999.
  • [46] Selim, H.M., Askin, R.G., Vakharia, A.J., “Cell formation in group technology: review, evaluation and directions for future research”, Computers and Industrial Engineering, 34, 1, pp. 3-20, 1998.
  • [47] Sankaran, S., “Multiple objective decision making approach to cell formation: a goal programming model”, Mathematical and Computer Modeling, 13, 9, pp. 71-81, 1990.
  • [48] Sankaran, S., Kasilingam, R.G., “An integrated approach to cell formation and part routing in group technology manufacturing systems”, Engineering Optimization, 16, pp.235-245, 1990.
  • [49] Wei, J.C., Gaither, N., “A capacity constrained multiobjective cell formation method”, Journal of Manufacturing Systems, 9, pp. 222-232, 1990.
  • [50] Shafer, S.M., Rogers, D.F., “A goal programming approach to the cell formation problem”, Journal of Operations Management, 10, 1, pp. 28-43, 1991.
  • [51] Shafer, S.M., Kern, G.M., Wei, J.C., “A mathematical programming approach for dealing with exceptional elements in cellular manufacturing”, International Journal of Production Research, 30, pp. 1029-1036, 1992.
  • [52] Venugopal, V., Narendran, T.T., “A genetic algorithm approach to the machinecomponent grouping problem with multiple objectives”, Computers and Industrial Engineering, 22, 4, pp. 469-480, 1992.
  • [53] Dahel, N.E., Smith, S.B., “Designing flexibility into cellular manufacturing systems”, International Journal of Production Research, 31, pp. 933-945, 1993.
  • [54] Logendran, R., “A binary integer programming approach for simultaneous machine-part grouping in cellular manufacturing systems”, Computers and Industrial Engineering, 24, 3, pp. 329-336, 1993.
  • [55] Min, H., Shin, D., “Simultaneous formation of machine and human cells in group technology: a multiple objective approach”, International Journal of Production Research, 31, pp. 2307-2318, 1993.
  • [56] Sankaran, S., Kasilingam, R.G., “On cell size and machine requirements planning in group technology”, European Journal of Operational Research, 69, 3, pp. 373-383, 1993.
  • [57] Ferreira, J.F., Riberio, C., Paradin, B., “A methodology for cellular manufacturing design”, International Journal of Production Research, 31, pp. 235- 250, 1993.
  • [58] Vakharia, A.J., Kaku, B.K., “An investigation of the impact of demand changes on a cellular manufacturing system”, Decision Sciences, 24, pp. 909-930, 1993.
  • [59] Liang, M., Taboun, S.M., “Converting functional manufacturing systems into focused machine cells-a bicriterion approach”, International Journal of Production Research, 33, pp. 2147-2161, 1996,
  • [60] İşlier, A., “Üretim Hücrelerinin Bir Genetik Algoritma Kullanılarak Oluşturulması”, Anadolu Üniversitesi Bilim ve Teknoloji Dergisi, 2, 1, ss. 137-157, 2001.
  • [61] Asokan, P., Prabhakaran, G., kumar, G.S., “Machine-cell grouping in cellular manufacturing systems using non-traditional optimization techniques-a comparative study”, International Journal of Advanced Manufacturing Technology, 18, pp.140- 147, 2001.
  • [62] Ming-Liang, L., “The algorithm for integrating all incidence matrices in multidimensional group technology”, International Journal of Production Economics, 86, pp.121-131, 2003.
  • [63] Chakravorty, S.S., Douglas, N.H., “Implications of cell design implementation: A case study and analysis”, European Journal of Operational Research, 152, pp.602- 614, 2004.
There are 63 citations in total.

Details

Subjects Industrial Engineering
Journal Section Research Articles
Authors

Ezgi Aktar Demirtaş

Publication Date December 31, 2004
Acceptance Date July 1, 2004
Published in Issue Year 2004 Volume: 17 Issue: 2

Cite

APA Aktar Demirtaş, E. (2004). Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, 17(2), 1-16.
AMA Aktar Demirtaş E. Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme. ESOGÜ Müh Mim Fak Derg. December 2004;17(2):1-16.
Chicago Aktar Demirtaş, Ezgi. “Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi 17, no. 2 (December 2004): 1-16.
EndNote Aktar Demirtaş E (December 1, 2004) Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 17 2 1–16.
IEEE E. Aktar Demirtaş, “Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme”, ESOGÜ Müh Mim Fak Derg, vol. 17, no. 2, pp. 1–16, 2004.
ISNAD Aktar Demirtaş, Ezgi. “Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 17/2 (December 2004), 1-16.
JAMA Aktar Demirtaş E. Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme. ESOGÜ Müh Mim Fak Derg. 2004;17:1–16.
MLA Aktar Demirtaş, Ezgi. “Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, vol. 17, no. 2, 2004, pp. 1-16.
Vancouver Aktar Demirtaş E. Hücre Oluşturma Yöntemlerine İlişkin Bir Değerlendirme. ESOGÜ Müh Mim Fak Derg. 2004;17(2):1-16.
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