How to cite this paper
Jain, V & Ajmera, P. (2019). Evaluation of performance factors of FMS by combined decision making methods as AHP, CMBA and ELECTRE methodology.Management Science Letters , 9(4), 519-534.
Refrences
Al-Ahmari, A. M. A. (2008). A methodology for selection and evaluation of advanced manufacturing technologies. International Journal of Computer Integrated Manufacturing, 21(7), 778-789.
Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-819.
Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397-406.
Gothwal, S., & Raj, T. (2016). Analyzing the factors affecting the flexibility in FMS using weighted interpretive structural modeling (WISM) approach. International Journal of System Assurance Engineering and Management, 8(2), 1-15.
Gunasekaram, A., Goyal, S. K., MArtikainen, T., & Yli-Olli, P. (1998). Total quality management: a new perspective for improving quality and productivity. International Journal of Quality & Reliability Management, 15(8/9), 947-968.
Jain, V. (2018). Application of combined MADM methods as MOORA and PSI for ranking of FMS performance factors. Benchmarking: An International Journal, 25(6), 1903-1920.
Jain, V., & Ajmera, P. (2018). Quantifying the variables affecting Indian medical tourism sector by graph theory and matrix approach. Management Science Letters, 8(4), 225-240.
Jain, V., & Raj, T. (2013a). Evaluating the Variables Affecting Flexibility in FMS by Exploratory and Confirmatory Factor Analysis. Global Journal of Flexible Systems Management, 14(4), 181-193.
Jain, V., & Raj, T. (2013b). Evaluation of flexibility in FMS using SAW and WPM. Decision Science Letters, 2(4), 223-230.
Jain, V., & Raj, T. (2013c). Ranking of Flexibility in Flexible Manufacturing System by Using a Combined Multiple Attribute Decision Making Method. Global Journal of Flexible Systems Management, 14(3), 125-141.
Jain, V., & Raj, T. (2014a). Evaluation of flexibility in FMS by VIKOR methodology. International Journal of Industrial and Systems Engineering, 18(4), 483-498.
Jain, V., & Raj, T. (2014b). Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach. Frontiers of Mechanical Engineering, 9(3), 218-232.
Jain, V., & Raj, T. (2015a). Evaluating the intensity of variables affecting flexibility in FMS by graph theory and matrix approach. International Journal of Industrial and Systems Engineering, 19(2), 137-154.
Jain, V., & Raj, T. (2015b). A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS. International Journal of Industrial and Systems Engineering, 19(3), 389–406.
Jain, V., & Raj, T. (2015c). Modeling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC. International Journal of System Assurance Engineering and Management, 6(3), 350-371.
Jain, V., & Raj, T. (2016). Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach. International Journal of Production Economics, 171(1), 84-96.
Jain, V., & Raj, T. (2017). Tool life management of unmanned production system based on surface roughness by ANFIS. International Journal of System Assurance Engineering and Management, 8(2), 458–467.
Jain, V., & Soni, V. K. (2018). Modeling and analysis of FMS performance variables by fuzzy TISM. Journal of Modelling in Management.doi: https://doi.org/10.1108/JM2-03-2018-0036
Khanchanapong, T., Prajogo, D., Sohal, A. S., Cooper, B. K., Yeung, A. C., & Cheng, T. (2014). The unique and complementary effects of manufacturing technologies and lean practices on manufacturing operational performance. International journal of production economics, 153, 191-203.
Khandan, M., Maghsoudipour, M., & Vosoughi, S. (2011). Ranking of working shift groups in an Iranian petrochemical company using ELECTRE method based on safety climate assessment results. Journal of the Chinese Institute of Industrial Engineers, 28(7), 537-542.
Leyva-Lopez, J. C., & Fernandez-Gonzalez, E. (2003). A new method for group decision support based on ELECTRE III methodology. European journal of operational research, 148(1), 14-27.
Liu, C.-M., Hsu, H.-S., Wang, S.-T., & Lee, H.-K. (2005). A performance evaluation model based on AHP and DEA. Journal of the Chinese Institute of Industrial Engineers, 22(3), 243-251.
Luggen, W. W. (1991). Flexible manufacturing cells and systems. Englewood Cliffs, New Jersey: Prentice Hall.
Maleki, R. A. (1991). Flexible manufacturing systems: The technology and management. Englewood Cliffs, New Jersey: Prentice Hall.
Montazer, G. A., Saremi, H. Q., & Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837-10847.
Pun, K. F., Chin, K. S., & Yiu, M. Y. R. (2010). An AHP approach to assess new product development performance: An exploratory study. International Journal of Management Science and Engineering Management, 5(3), 210-218.
Raj, T., Attri, R., & Jain, V. (2012). Modelling the factors affecting flexibility in FMS. International Journal of Industrial and Systems Engineering, 11(4), 350-374.
Rao, R. V. (2013). Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods (Vol. 2). London: Springer-Verlag.
Ravikumar, M., Marimuthu, K., & Parthiban, P. (2015). Evaluating lean implementation performance in Indian MSMEs using ISM and AHP models. International Journal of Services and Operations Management, 22(1), 21-39.
Rehman, A.-U., & Subash Babu, A. (2009). The evaluation of manufacturing systems using concordance and disconcordance properties. International Journal of Services and Operations Management, 5(3), 326-349.
Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory and decision, 31(1), 49-73.
Ruiz, M. C., Cazorla, D., Cuartero, F., & Macia, H. (2009). Improving performance in flexible manufacturing systems. The Journal of Logic and Algebraic Programming, 78(4), 260-273.
Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 4922). Pittsburgh,PA: RWS publications
Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6). Pittsburgh, PA: RWS Publications.
Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7), 962-975.
Sevkli, M. (2010). An application of the fuzzy ELECTRE method for supplier selection. International Journal of Production Research, 48(12), 3393-3405.
Shanian, A., Milani, A., Carson, C., & Abeyaratne, R. (2008). A new application of ELECTRE III and revised Simos’ procedure for group material selection under weighting uncertainty. Knowledge-Based Systems, 21(7), 709-720.
Shanian, A., & Savadogo, O. (2009). A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis. Expert Systems with Applications, 36(2), 1362-1370.
Singh, R. K., & Sharma, M. K. (2014). Selecting competitive supply chain using fuzzy AHP and extent analysis. Journal of Industrial and Production Engineering, 31(8), 524-538. doi: 10.1080/21681015.2014.999723
Taha, Z., & Rostam, S. (2012). A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell. Journal of Intelligent Manufacturing, 23(6), 2137-2149.
Triantaphyllou, E. (2013). Multi-criteria decision making methods: a comparative study. Dordrecht, Netherlands: Springer Science & Business Media.
Umar, U. A., Ariffin, M., Ismail, N., & Tang, S. (2015). Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment. The International Journal of Advanced Manufacturing Technology, 81(9-12), 2123-2141.
Yang, C.-C., & Chen, B.-S. (2004). Key quality performance evaluation using fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 21(6), 543-550.
Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-819.
Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397-406.
Gothwal, S., & Raj, T. (2016). Analyzing the factors affecting the flexibility in FMS using weighted interpretive structural modeling (WISM) approach. International Journal of System Assurance Engineering and Management, 8(2), 1-15.
Gunasekaram, A., Goyal, S. K., MArtikainen, T., & Yli-Olli, P. (1998). Total quality management: a new perspective for improving quality and productivity. International Journal of Quality & Reliability Management, 15(8/9), 947-968.
Jain, V. (2018). Application of combined MADM methods as MOORA and PSI for ranking of FMS performance factors. Benchmarking: An International Journal, 25(6), 1903-1920.
Jain, V., & Ajmera, P. (2018). Quantifying the variables affecting Indian medical tourism sector by graph theory and matrix approach. Management Science Letters, 8(4), 225-240.
Jain, V., & Raj, T. (2013a). Evaluating the Variables Affecting Flexibility in FMS by Exploratory and Confirmatory Factor Analysis. Global Journal of Flexible Systems Management, 14(4), 181-193.
Jain, V., & Raj, T. (2013b). Evaluation of flexibility in FMS using SAW and WPM. Decision Science Letters, 2(4), 223-230.
Jain, V., & Raj, T. (2013c). Ranking of Flexibility in Flexible Manufacturing System by Using a Combined Multiple Attribute Decision Making Method. Global Journal of Flexible Systems Management, 14(3), 125-141.
Jain, V., & Raj, T. (2014a). Evaluation of flexibility in FMS by VIKOR methodology. International Journal of Industrial and Systems Engineering, 18(4), 483-498.
Jain, V., & Raj, T. (2014b). Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach. Frontiers of Mechanical Engineering, 9(3), 218-232.
Jain, V., & Raj, T. (2015a). Evaluating the intensity of variables affecting flexibility in FMS by graph theory and matrix approach. International Journal of Industrial and Systems Engineering, 19(2), 137-154.
Jain, V., & Raj, T. (2015b). A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS. International Journal of Industrial and Systems Engineering, 19(3), 389–406.
Jain, V., & Raj, T. (2015c). Modeling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC. International Journal of System Assurance Engineering and Management, 6(3), 350-371.
Jain, V., & Raj, T. (2016). Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach. International Journal of Production Economics, 171(1), 84-96.
Jain, V., & Raj, T. (2017). Tool life management of unmanned production system based on surface roughness by ANFIS. International Journal of System Assurance Engineering and Management, 8(2), 458–467.
Jain, V., & Soni, V. K. (2018). Modeling and analysis of FMS performance variables by fuzzy TISM. Journal of Modelling in Management.doi: https://doi.org/10.1108/JM2-03-2018-0036
Khanchanapong, T., Prajogo, D., Sohal, A. S., Cooper, B. K., Yeung, A. C., & Cheng, T. (2014). The unique and complementary effects of manufacturing technologies and lean practices on manufacturing operational performance. International journal of production economics, 153, 191-203.
Khandan, M., Maghsoudipour, M., & Vosoughi, S. (2011). Ranking of working shift groups in an Iranian petrochemical company using ELECTRE method based on safety climate assessment results. Journal of the Chinese Institute of Industrial Engineers, 28(7), 537-542.
Leyva-Lopez, J. C., & Fernandez-Gonzalez, E. (2003). A new method for group decision support based on ELECTRE III methodology. European journal of operational research, 148(1), 14-27.
Liu, C.-M., Hsu, H.-S., Wang, S.-T., & Lee, H.-K. (2005). A performance evaluation model based on AHP and DEA. Journal of the Chinese Institute of Industrial Engineers, 22(3), 243-251.
Luggen, W. W. (1991). Flexible manufacturing cells and systems. Englewood Cliffs, New Jersey: Prentice Hall.
Maleki, R. A. (1991). Flexible manufacturing systems: The technology and management. Englewood Cliffs, New Jersey: Prentice Hall.
Montazer, G. A., Saremi, H. Q., & Ramezani, M. (2009). Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection. Expert Systems with Applications, 36(8), 10837-10847.
Pun, K. F., Chin, K. S., & Yiu, M. Y. R. (2010). An AHP approach to assess new product development performance: An exploratory study. International Journal of Management Science and Engineering Management, 5(3), 210-218.
Raj, T., Attri, R., & Jain, V. (2012). Modelling the factors affecting flexibility in FMS. International Journal of Industrial and Systems Engineering, 11(4), 350-374.
Rao, R. V. (2013). Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods (Vol. 2). London: Springer-Verlag.
Ravikumar, M., Marimuthu, K., & Parthiban, P. (2015). Evaluating lean implementation performance in Indian MSMEs using ISM and AHP models. International Journal of Services and Operations Management, 22(1), 21-39.
Rehman, A.-U., & Subash Babu, A. (2009). The evaluation of manufacturing systems using concordance and disconcordance properties. International Journal of Services and Operations Management, 5(3), 326-349.
Roy, B. (1991). The outranking approach and the foundations of ELECTRE methods. Theory and decision, 31(1), 49-73.
Ruiz, M. C., Cazorla, D., Cuartero, F., & Macia, H. (2009). Improving performance in flexible manufacturing systems. The Journal of Logic and Algebraic Programming, 78(4), 260-273.
Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 4922). Pittsburgh,PA: RWS publications
Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6). Pittsburgh, PA: RWS Publications.
Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7), 962-975.
Sevkli, M. (2010). An application of the fuzzy ELECTRE method for supplier selection. International Journal of Production Research, 48(12), 3393-3405.
Shanian, A., Milani, A., Carson, C., & Abeyaratne, R. (2008). A new application of ELECTRE III and revised Simos’ procedure for group material selection under weighting uncertainty. Knowledge-Based Systems, 21(7), 709-720.
Shanian, A., & Savadogo, O. (2009). A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis. Expert Systems with Applications, 36(2), 1362-1370.
Singh, R. K., & Sharma, M. K. (2014). Selecting competitive supply chain using fuzzy AHP and extent analysis. Journal of Industrial and Production Engineering, 31(8), 524-538. doi: 10.1080/21681015.2014.999723
Taha, Z., & Rostam, S. (2012). A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell. Journal of Intelligent Manufacturing, 23(6), 2137-2149.
Triantaphyllou, E. (2013). Multi-criteria decision making methods: a comparative study. Dordrecht, Netherlands: Springer Science & Business Media.
Umar, U. A., Ariffin, M., Ismail, N., & Tang, S. (2015). Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment. The International Journal of Advanced Manufacturing Technology, 81(9-12), 2123-2141.
Yang, C.-C., & Chen, B.-S. (2004). Key quality performance evaluation using fuzzy AHP. Journal of the Chinese Institute of Industrial Engineers, 21(6), 543-550.