How to cite this paper
Al-Zawahreh, A., Dahmani, N., Alethem, K & Mukattash, A. (2019). Sensitivity analysis of the impact of part assignment in cellular manufacturing systems.Decision Science Letters , 8(1), 109-120.
Refrences
Adil, G. K., Rajamani, D., & Strong, D. (1996). Cell formation considering alternate routeings. International Journal of Production Research, 34(5), 1361-1380.
Al-Bashir, A., Mukattash, A., Dahmani, N., & Al-Abed, N. (2018). Critical analysis of modified grouping efficacy measure; new weighted modified grouping efficiency measure. Production & Manufacturing Research, 6(1), 113-125.
Al-Bashir, A. A., Mukattash, A. M., Muqattash, R. S., Al-Tal, S. Y., & Qamar, A. M. (2016). Grouping Cell Indicator: A Modified Cell Formation Grouping Measure. Middle-East Journal of Scientific Research, 24(7), 2309-2320.
Chen, H. G., & Guerrero, H. H. (1994). A general search algorithm for cell formation in group technology. The International Journal of Production Research, 32(11), 2711-2724.
Chow, W. S., & Hawaleshka, O. (1993). Minimizing intercellular part movements in manufacturing cell formation. The International Journal of Production Research, 31(9), 2161-2170.
Crama, Y., & Oosten, M. (1996). Models for machine-part grouping in cellular manufacturing. International Journal of Production Research, 34(6), 1693-1713.
Del Valle, A. G., Balarezo, S., & Tejero, J. (1994). A heuristic workload-based model to form cells by minimizing intercellular movements. The International Journal of Production Research, 32(10), 2275-2285.
Gupta, Y. P., Gupta, M. C., Kumar, A., & Sundram, C. (1995). Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach. International Journal of computer integrated manufacturing, 8(2), 92-101.
Harhalakis, G., Nagi, R., & Proth, J. M. (1990). An efficient heuristic in manufacturing cell formation for group technology applications. The International Journal of Production Research, 28(1), 185-198.
Ho, Y. C., & Moodie, C. L. (1996). Solving cell formation problems in a manufacturing environment with flexible processing and routeing capabilities. International Journal of Production Research, 34(10), 2901-2923.
Hsu, C.P. (1990). Similarity coefficient approaches to machine-component cell formation in cellular manufacturing: a comparative study. PhD thesis,Industrial and Systems Engineering, University of Wisconsin-Milwaukee.
Keeling, K. B., Brown, E. C., & James, T. L. (2007). Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study. Engineering Applications of Artificial Intelligence, 20(1), 63-78.
Kusiak, A. (1987). The generalized group technology concept. International journal of production research, 25(4), 561-569.
Kusiak, A., & Cho, M. (1992). Similarity coefficient algorithms for solving the group technology problem. The International Journal Of Production Research, 30(11), 2633-2646.
Lee, K., & Ahn, K. I. (2013). GT efficacy: a performance measure for cell formation with sequence data. International Journal of Production Research, 51(20), 6070-6081.
Mahdavi, I., Javadi, B., Fallah-Alipour, K., & Slomp, J. (2007). Designing a new mathematical model for cellular manufacturing system based on cell utilization. Applied Mathematics and Computation, 190(1), 662-670.
Miltenburg, J., & Zhang, W. (1991). A comparative evaluation of nine well-known algorithms for solving the cell formation problem in group technology. Journal of operations management, 10(1), 44-72.
Mukattash, A. M., Tahboub, K. K., & Adil, M. B. (2017). Interactive design of cellular manufacturing systems, optimality and flexibility. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-8.
Mukattash, A. (2003). Grouping Cell Index : A Modified Cell Formation Grouping Measure. Proceedings of the 31st International Conference on Computers and Industrial Engineering, San Francesco, USA.
Mukattash, A. M., Adil, M. B., & Tahboub, K. K. (2002). Heuristic approaches for part assignment in cell formation. Computers & industrial engineering, 42(2-4), 329-341.
Mukattash, A., Dahmani, N., Al-Bashir, A., & Qamar, A. (2018). Comprehensive grouping efficacy: A new measure for evaluating block-diagonal forms in group technology. International Journal of Industrial Engineering Computations, 9(1), 155-172.
Nair, G. J. K., & Narendran, T. T. (1996). Grouping index: a new quantitative criterion for goodness of block-diagonal forms in group technology. International Journal of Production Research, 34(10), 2767-2782.
Nair, G. J., & Narendran, T. T. (1998). CASE: A clustering algorithm for cell formation with sequence data. International journal of production research, 36(1), 157-180.
Nagendra Parashar, B.S. (2004), Evaluation of cellular manufacturing systems design- VEDO Analysis, Industrial Engineering Journal, 33(6),pp.4-8.
Ng, S. M. (1993). Worst-case analysis of an algorithm for cellular manufacturing. European Journal of Operational Research, 69(3), 384-398.
Papaioannou, G., & Wilson, J. M. (2010). The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research. European journal of operational research, 206(3), 509-521.
Pachayappan, M., & Panneerselvam, R. (2015). Hybrid genetic algorithm for machine-component cell formation. Intelligent Information Management, 7(03), 107.
P Chandrasekharan, M., & Rajagopalan, R. (1986). An ideal seed non-hierarchical clustering algorithm for cellular manufacturing. International Journal of Production Research, 24(2), 451-463.
Rajesh, K. D., Chalapathi, P. V., Chaitanya, A. B. K., Sairam, V., & Anildeep, N. (2006). Modified grouping efficacy and new average measure of flexibility: performance measuring parameters for cell formation applications. ARPN Journal of Engineering and Applied Sciences, 11(15), 9212-9215.
Rajamani, D., Singh, N., & Aneja, Y. P. (1996). Design of cellular manufacturing systems. International journal of production research, 34(7), 1917-1928.
Sarker, B. R., & Balan, C. V. (1996). Cell formation with operation times of jobs for even distribution of workloads. International Journal of Production Research, 34(5), 1447-1468.
Sarker, B. R. (1999). Grouping efficiency measures in cellular manufacturing: a survey and critical review. International Journal of Production Research, 37(2), 285-314.
Sarker, B. R. (2001). Measures of grouping efficiency in cellular manufacturing systems. European Journal of Operational Research, 130(3), 588-611.
Sarker, B. R., & Balan, C. V. (1996). Cell formation with operation times of jobs for even distribution of workloads. International Journal of Production Research, 34(5), 1447-1468.
Sarker, B. R., & Khan, M. (2001). A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure. Iie Transactions, 33(1), 11-27.
Seifoddini, H., & Djassemi, M. (1996). A new grouping measure for evaluation of machine-component matrices. International Journal of Production Research, 34(5), 1179-1193.
Srinivasan, G., & Narendran, T. T. (1991). GRAFICS—a nonhierarchical clustering algorithm for group technology. The International Journal of Production Research, 29(3), 463-478.
Srivastava, B., & Chen, W. H. (1995). Efficient solution for machine cell formation in group technology. International Journal of Computer Integrated Manufacturing, 8(4), 255-264.
Suresh Kumar, C., & Chandrasekharan, M. P. (1990). Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology. International Journal of Production Research, 28(2), 233-243.
Viswanathan, S. (1995). Configuring cellular manufacturing systems: a quadratic integer programming formulation and a simple interchange heuristic. The International Journal of Production Research, 33(2), 361-376.
Viswanathan, S. (1996). A new approach for solving the P-median problem in group technology. International Journal of Production Research, 34(10), 2691-2700.
Al-Bashir, A., Mukattash, A., Dahmani, N., & Al-Abed, N. (2018). Critical analysis of modified grouping efficacy measure; new weighted modified grouping efficiency measure. Production & Manufacturing Research, 6(1), 113-125.
Al-Bashir, A. A., Mukattash, A. M., Muqattash, R. S., Al-Tal, S. Y., & Qamar, A. M. (2016). Grouping Cell Indicator: A Modified Cell Formation Grouping Measure. Middle-East Journal of Scientific Research, 24(7), 2309-2320.
Chen, H. G., & Guerrero, H. H. (1994). A general search algorithm for cell formation in group technology. The International Journal of Production Research, 32(11), 2711-2724.
Chow, W. S., & Hawaleshka, O. (1993). Minimizing intercellular part movements in manufacturing cell formation. The International Journal of Production Research, 31(9), 2161-2170.
Crama, Y., & Oosten, M. (1996). Models for machine-part grouping in cellular manufacturing. International Journal of Production Research, 34(6), 1693-1713.
Del Valle, A. G., Balarezo, S., & Tejero, J. (1994). A heuristic workload-based model to form cells by minimizing intercellular movements. The International Journal of Production Research, 32(10), 2275-2285.
Gupta, Y. P., Gupta, M. C., Kumar, A., & Sundram, C. (1995). Minimizing total intercell and intracell moves in cellular manufacturing: a genetic algorithm approach. International Journal of computer integrated manufacturing, 8(2), 92-101.
Harhalakis, G., Nagi, R., & Proth, J. M. (1990). An efficient heuristic in manufacturing cell formation for group technology applications. The International Journal of Production Research, 28(1), 185-198.
Ho, Y. C., & Moodie, C. L. (1996). Solving cell formation problems in a manufacturing environment with flexible processing and routeing capabilities. International Journal of Production Research, 34(10), 2901-2923.
Hsu, C.P. (1990). Similarity coefficient approaches to machine-component cell formation in cellular manufacturing: a comparative study. PhD thesis,Industrial and Systems Engineering, University of Wisconsin-Milwaukee.
Keeling, K. B., Brown, E. C., & James, T. L. (2007). Grouping efficiency measures and their impact on factory measures for the machine-part cell formation problem: A simulation study. Engineering Applications of Artificial Intelligence, 20(1), 63-78.
Kusiak, A. (1987). The generalized group technology concept. International journal of production research, 25(4), 561-569.
Kusiak, A., & Cho, M. (1992). Similarity coefficient algorithms for solving the group technology problem. The International Journal Of Production Research, 30(11), 2633-2646.
Lee, K., & Ahn, K. I. (2013). GT efficacy: a performance measure for cell formation with sequence data. International Journal of Production Research, 51(20), 6070-6081.
Mahdavi, I., Javadi, B., Fallah-Alipour, K., & Slomp, J. (2007). Designing a new mathematical model for cellular manufacturing system based on cell utilization. Applied Mathematics and Computation, 190(1), 662-670.
Miltenburg, J., & Zhang, W. (1991). A comparative evaluation of nine well-known algorithms for solving the cell formation problem in group technology. Journal of operations management, 10(1), 44-72.
Mukattash, A. M., Tahboub, K. K., & Adil, M. B. (2017). Interactive design of cellular manufacturing systems, optimality and flexibility. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-8.
Mukattash, A. (2003). Grouping Cell Index : A Modified Cell Formation Grouping Measure. Proceedings of the 31st International Conference on Computers and Industrial Engineering, San Francesco, USA.
Mukattash, A. M., Adil, M. B., & Tahboub, K. K. (2002). Heuristic approaches for part assignment in cell formation. Computers & industrial engineering, 42(2-4), 329-341.
Mukattash, A., Dahmani, N., Al-Bashir, A., & Qamar, A. (2018). Comprehensive grouping efficacy: A new measure for evaluating block-diagonal forms in group technology. International Journal of Industrial Engineering Computations, 9(1), 155-172.
Nair, G. J. K., & Narendran, T. T. (1996). Grouping index: a new quantitative criterion for goodness of block-diagonal forms in group technology. International Journal of Production Research, 34(10), 2767-2782.
Nair, G. J., & Narendran, T. T. (1998). CASE: A clustering algorithm for cell formation with sequence data. International journal of production research, 36(1), 157-180.
Nagendra Parashar, B.S. (2004), Evaluation of cellular manufacturing systems design- VEDO Analysis, Industrial Engineering Journal, 33(6),pp.4-8.
Ng, S. M. (1993). Worst-case analysis of an algorithm for cellular manufacturing. European Journal of Operational Research, 69(3), 384-398.
Papaioannou, G., & Wilson, J. M. (2010). The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research. European journal of operational research, 206(3), 509-521.
Pachayappan, M., & Panneerselvam, R. (2015). Hybrid genetic algorithm for machine-component cell formation. Intelligent Information Management, 7(03), 107.
P Chandrasekharan, M., & Rajagopalan, R. (1986). An ideal seed non-hierarchical clustering algorithm for cellular manufacturing. International Journal of Production Research, 24(2), 451-463.
Rajesh, K. D., Chalapathi, P. V., Chaitanya, A. B. K., Sairam, V., & Anildeep, N. (2006). Modified grouping efficacy and new average measure of flexibility: performance measuring parameters for cell formation applications. ARPN Journal of Engineering and Applied Sciences, 11(15), 9212-9215.
Rajamani, D., Singh, N., & Aneja, Y. P. (1996). Design of cellular manufacturing systems. International journal of production research, 34(7), 1917-1928.
Sarker, B. R., & Balan, C. V. (1996). Cell formation with operation times of jobs for even distribution of workloads. International Journal of Production Research, 34(5), 1447-1468.
Sarker, B. R. (1999). Grouping efficiency measures in cellular manufacturing: a survey and critical review. International Journal of Production Research, 37(2), 285-314.
Sarker, B. R. (2001). Measures of grouping efficiency in cellular manufacturing systems. European Journal of Operational Research, 130(3), 588-611.
Sarker, B. R., & Balan, C. V. (1996). Cell formation with operation times of jobs for even distribution of workloads. International Journal of Production Research, 34(5), 1447-1468.
Sarker, B. R., & Khan, M. (2001). A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure. Iie Transactions, 33(1), 11-27.
Seifoddini, H., & Djassemi, M. (1996). A new grouping measure for evaluation of machine-component matrices. International Journal of Production Research, 34(5), 1179-1193.
Srinivasan, G., & Narendran, T. T. (1991). GRAFICS—a nonhierarchical clustering algorithm for group technology. The International Journal of Production Research, 29(3), 463-478.
Srivastava, B., & Chen, W. H. (1995). Efficient solution for machine cell formation in group technology. International Journal of Computer Integrated Manufacturing, 8(4), 255-264.
Suresh Kumar, C., & Chandrasekharan, M. P. (1990). Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology. International Journal of Production Research, 28(2), 233-243.
Viswanathan, S. (1995). Configuring cellular manufacturing systems: a quadratic integer programming formulation and a simple interchange heuristic. The International Journal of Production Research, 33(2), 361-376.
Viswanathan, S. (1996). A new approach for solving the P-median problem in group technology. International Journal of Production Research, 34(10), 2691-2700.