How to cite this paper
Rao, R. (2012). Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection.International Journal of Industrial Engineering Computations , 3(3), 365-382.
Refrences
Badiru, A. B. & Arif, A. (1996). FLEXPERT: facility layout expert system using fuzzy linguistic relationship codes. IEEE Trans., 28, 295-308.
Benson, B. & Foote, B.L. (1997). Door FAST: A constructive procedure to optimally layout a facility including aisles and door locations based on an aisle flow distance metric. International Journal of Production Research, 35(7), 1825-1842.
Castillo, I. & Westerlund, T. (2005). An ?-accurate model for optimal unequal-area block layout design. Computer and Operations Research, 32, 429-447.
Chakraborty, S & Banik, B. (2007). An analytic hierarchy process (AHP) based approach for optimal facility layout design. IE(I) Journal–PR, 88, 12–18.
Chan, C.W. & Sha, D.Y. (1999). A design approach to the multi-objective facility layout problem. International Journal of Production Research, Vol. 37(5), 1175-1196.
Chen, S.J. & Hwang C.L. (1992). Fuzzy Multiple Attribute Decision Making – Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Berlin.
Chung, Y.K. (1999). A neuro-based expert system for facility layout Construction. Journal of Intelligent Manufacturing, 10, 359-385.
Cruz , M.C.G. & Martinez, E.G.S. (2011). An entropy-based algorithm to solve the facility layout design problem. Robotics and Computer-Integrated Manufacturing, 27, 88-100.
Dattorro, J. (2008). Convex optimization & Euclidean distance geometry, Meboo Publishing, California.
Deb, S. K. & Bhattacharyya, B. (2005). Fuzzy decision support system for manufacturing facilities layout planning. Decision Support Systems, 40, 305-314.
Deb, S.K. & Bhattacharyya, B. (2003). Facilities layout planning based on Fuzzy multiple criteria decision-making methodology. International Journal of Production Research, 41(18), 4487-4504.
Dorigo, M., Maniezzo, V. & Colorni, A. (1996). Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics- Part B, 26(1), 29-41.
Dutta, K.N. & Sahu, S. (1982). A multi goal heuristic for facility design problem: Mughal. International Journal of Production Research, 20, 147-154.
Edwards, W. & Newman, J.R. (1986). Multiattribute Evaluation, In: Arkes HR and Hammond KR, ed. Judgment and Decision Making: An Interdisciplinary Reader, Cambridge: Cambridge University Press.
Ertay, T., Ruan, D. & Tuzkaya, U.R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, 176, 237-262.
Gambardella, L.M., & Dorigo, M. (1997). HAS-SOP: An hybrid ant system for the sequential ordering problem. Technical Report, IDSIA, Lugano, 11-97.
Goetschalckx, M. (1992). An interactive layout heuristic based on hexagonal adjacency graphs, European Journal of Operations Research, 63, 4-321.
Gower, J.C. (1982). Euclidean distance geometry. Math. Scientist, 7, 1-14.
Harmonosky, C.M. & and Tothero, G.K. (1992). A multi-factor plant layout methodology. International Journal of Production Research, 30, 1773-1789.
Imam, M.H. & Mir, M. (1998). Clustur boundary search algorithm for building- block layout optimization. Advances in Engineering Software, 29(2), 165-173.
Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, A. H. M. & Elbeltagi, E. (2000). Tools of soft computing as applied to the problem of facilities layout planning. IEEE Transactions on Fuzzy Systems, 8, 367-379.$$
Ku, M.Y., Hu, M.H. & Wang, M.J. (2011). Simulated annealing based parallel genetic algorithm for facility layout problem. International Journal of Production Research, 49(6), 1801-1812.
Kuo, Y., Yang, T. & Huang, G.W. (2008). The use of grey relational analysis in solving multi attribute decision making problems. Computer and industrial engineering, 55, 80-93.
Lee, Y.H. & Lee, M.H. (2002). A shape-based block layout approach to facility layout problems using hybrid genetic algorithm. Computer and Industrial Engineering, 42, 237-248.
Maniezzo, V. (1998). Exact and approximate non-deterministic tree-search procedures for the quadratic assignment problem. Technical Report CSR 98-1, C. L. In Science dell’Informazione, Universit´a di Bologna, sede di Cesena, Italy.
Maniya, K. and Bhatt, M.G. (2011). An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Computers and Industrial Engineering, 61, 542-549.
Manshadi, B.D., Mahmudi, H., Abedian, A. & Mahmudi, R. (2007). A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method. Materials and Design, 28, 8–15.
McKendall Jr., A. R. & Hakobyan, A. (2010). Heuristics for the dynamic facility layout problem with unequal-area departments. European Journal of Operational Research, 201, 171-182.
Mir, M. & Imam, M.H. (2001). A hybrid optimization approach for layout design of unequal-area facilities. Computer and Industrial Engineering, 39, 49-63.
Rao, R.V. Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer-Verlag, London, 2007.
Rao, R.V. & Parnichkun, M. (2009). Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method. International Journal of Production Research, 47(24), 6981-6998.
Rao, R.V. & Singh, D. (2011).Evaluating flexible manufacturing systems using Euclidean distance-based integrated approach. International Journal of Decision Sciences, Risk and Management, 3(1/2), 32 – 53.
Raoot, A. D. & Rakshit, A. (1991). A ‘fuzzy’ approach to facilities layout planning. International Journal of Production Research, 29, 835-857.
Rosenblatt, M.J. (1979). The facility layout problem: a multi goal approach. International Journal of Production Research, 17, 323-332.
Saaty, T.L. (2000) Fundamentals of decision making and priority theory with the AHP. RWS Publications, Pittsburg.
Taghavi, A. & Murat, A. (2011). A heuristic procedure for the integrated facility layout design and flow assignment problem. Computers & Industrial Engineering, 61, 55-63.
Taillard, E.D. & Gambardella, L.M. (1997). Adaptive memories for the quadratic assignment problem. Technical Report, IDSIA-87-97, IDSIA, Lugano, Switzerland.
Tretheway, S.J. & Foote, B.L. (1994). Automatic computation and drawing of facility layouts with logical aisle structures, International Journal of Production Research, 32(7), 1545-1555.
Ulutas, B.H. & Islier, A.A. (2009). A clonal selection algorithm for dynamic facility layout problems. Journal of Manufacturing Systems, 28, 123-131.
Wang, M.J., Hu, M.H. & Ku, M.Y. (2005). A solution to the unequal area facilities layout problem by genetic algorithm. Computer in Industry, 56, 207-220.
Yang, T. & Kuo, C. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operations Research, 147, 128-136.
Yang, T. & Hung, C. C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23, 126–137.
Zeleny, M. (1982). Multiple Criteria Decision Making; McGraw- Hill: New York.
Benson, B. & Foote, B.L. (1997). Door FAST: A constructive procedure to optimally layout a facility including aisles and door locations based on an aisle flow distance metric. International Journal of Production Research, 35(7), 1825-1842.
Castillo, I. & Westerlund, T. (2005). An ?-accurate model for optimal unequal-area block layout design. Computer and Operations Research, 32, 429-447.
Chakraborty, S & Banik, B. (2007). An analytic hierarchy process (AHP) based approach for optimal facility layout design. IE(I) Journal–PR, 88, 12–18.
Chan, C.W. & Sha, D.Y. (1999). A design approach to the multi-objective facility layout problem. International Journal of Production Research, Vol. 37(5), 1175-1196.
Chen, S.J. & Hwang C.L. (1992). Fuzzy Multiple Attribute Decision Making – Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Berlin.
Chung, Y.K. (1999). A neuro-based expert system for facility layout Construction. Journal of Intelligent Manufacturing, 10, 359-385.
Cruz , M.C.G. & Martinez, E.G.S. (2011). An entropy-based algorithm to solve the facility layout design problem. Robotics and Computer-Integrated Manufacturing, 27, 88-100.
Dattorro, J. (2008). Convex optimization & Euclidean distance geometry, Meboo Publishing, California.
Deb, S. K. & Bhattacharyya, B. (2005). Fuzzy decision support system for manufacturing facilities layout planning. Decision Support Systems, 40, 305-314.
Deb, S.K. & Bhattacharyya, B. (2003). Facilities layout planning based on Fuzzy multiple criteria decision-making methodology. International Journal of Production Research, 41(18), 4487-4504.
Dorigo, M., Maniezzo, V. & Colorni, A. (1996). Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics- Part B, 26(1), 29-41.
Dutta, K.N. & Sahu, S. (1982). A multi goal heuristic for facility design problem: Mughal. International Journal of Production Research, 20, 147-154.
Edwards, W. & Newman, J.R. (1986). Multiattribute Evaluation, In: Arkes HR and Hammond KR, ed. Judgment and Decision Making: An Interdisciplinary Reader, Cambridge: Cambridge University Press.
Ertay, T., Ruan, D. & Tuzkaya, U.R. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, 176, 237-262.
Gambardella, L.M., & Dorigo, M. (1997). HAS-SOP: An hybrid ant system for the sequential ordering problem. Technical Report, IDSIA, Lugano, 11-97.
Goetschalckx, M. (1992). An interactive layout heuristic based on hexagonal adjacency graphs, European Journal of Operations Research, 63, 4-321.
Gower, J.C. (1982). Euclidean distance geometry. Math. Scientist, 7, 1-14.
Harmonosky, C.M. & and Tothero, G.K. (1992). A multi-factor plant layout methodology. International Journal of Production Research, 30, 1773-1789.
Imam, M.H. & Mir, M. (1998). Clustur boundary search algorithm for building- block layout optimization. Advances in Engineering Software, 29(2), 165-173.
Karray, F., Zaneldin, E., Hegazy, T., Shabeeb, A. H. M. & Elbeltagi, E. (2000). Tools of soft computing as applied to the problem of facilities layout planning. IEEE Transactions on Fuzzy Systems, 8, 367-379.$$
Ku, M.Y., Hu, M.H. & Wang, M.J. (2011). Simulated annealing based parallel genetic algorithm for facility layout problem. International Journal of Production Research, 49(6), 1801-1812.
Kuo, Y., Yang, T. & Huang, G.W. (2008). The use of grey relational analysis in solving multi attribute decision making problems. Computer and industrial engineering, 55, 80-93.
Lee, Y.H. & Lee, M.H. (2002). A shape-based block layout approach to facility layout problems using hybrid genetic algorithm. Computer and Industrial Engineering, 42, 237-248.
Maniezzo, V. (1998). Exact and approximate non-deterministic tree-search procedures for the quadratic assignment problem. Technical Report CSR 98-1, C. L. In Science dell’Informazione, Universit´a di Bologna, sede di Cesena, Italy.
Maniya, K. and Bhatt, M.G. (2011). An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Computers and Industrial Engineering, 61, 542-549.
Manshadi, B.D., Mahmudi, H., Abedian, A. & Mahmudi, R. (2007). A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method. Materials and Design, 28, 8–15.
McKendall Jr., A. R. & Hakobyan, A. (2010). Heuristics for the dynamic facility layout problem with unequal-area departments. European Journal of Operational Research, 201, 171-182.
Mir, M. & Imam, M.H. (2001). A hybrid optimization approach for layout design of unequal-area facilities. Computer and Industrial Engineering, 39, 49-63.
Rao, R.V. Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer-Verlag, London, 2007.
Rao, R.V. & Parnichkun, M. (2009). Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method. International Journal of Production Research, 47(24), 6981-6998.
Rao, R.V. & Singh, D. (2011).Evaluating flexible manufacturing systems using Euclidean distance-based integrated approach. International Journal of Decision Sciences, Risk and Management, 3(1/2), 32 – 53.
Raoot, A. D. & Rakshit, A. (1991). A ‘fuzzy’ approach to facilities layout planning. International Journal of Production Research, 29, 835-857.
Rosenblatt, M.J. (1979). The facility layout problem: a multi goal approach. International Journal of Production Research, 17, 323-332.
Saaty, T.L. (2000) Fundamentals of decision making and priority theory with the AHP. RWS Publications, Pittsburg.
Taghavi, A. & Murat, A. (2011). A heuristic procedure for the integrated facility layout design and flow assignment problem. Computers & Industrial Engineering, 61, 55-63.
Taillard, E.D. & Gambardella, L.M. (1997). Adaptive memories for the quadratic assignment problem. Technical Report, IDSIA-87-97, IDSIA, Lugano, Switzerland.
Tretheway, S.J. & Foote, B.L. (1994). Automatic computation and drawing of facility layouts with logical aisle structures, International Journal of Production Research, 32(7), 1545-1555.
Ulutas, B.H. & Islier, A.A. (2009). A clonal selection algorithm for dynamic facility layout problems. Journal of Manufacturing Systems, 28, 123-131.
Wang, M.J., Hu, M.H. & Ku, M.Y. (2005). A solution to the unequal area facilities layout problem by genetic algorithm. Computer in Industry, 56, 207-220.
Yang, T. & Kuo, C. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operations Research, 147, 128-136.
Yang, T. & Hung, C. C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23, 126–137.
Zeleny, M. (1982). Multiple Criteria Decision Making; McGraw- Hill: New York.