How to cite this paper
Zare, A., Feylizadeh, M., Mahmoudi, A & Liu, S. (2018). Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study.Decision Science Letters , 7(4), 341-358.
Refrences
Anise Pardazan Saramad Industrial Engineering Consultant, Timar Software (2006). available at: http://www.irantpm.com/en/.
Braglia, M., Carmignani, G., Frosolini, M., & Grassi, A. (2006). AHP-based evaluation of CMMS software. Journal of Manufacturing Technology Management, 17(5), 585-602.
Carnero, M.C. and Novés, J.L., (2006). Selection of computerised maintenance management system by means of multicriteria methods. Production Planning and Control, 17(4), 335-354.
Dubois, D.J., (1980). Fuzzy sets and systems: theory and applications (Vol. 144). Academic press.
Durán, O., (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP approach. Advances in Engineering Software, 42(10), 821-829.
Feylizadeh, M. R., & Dehghani, M. A. (2016). Priority determination of the renewable energies using fuzzy group VIKOR method; Case study Iran. Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, March 8-10, 2016
Galar, D., GuSTAFSON, A., Tormos, B. and Berges, L., (2012). Maintenance decision making based on different types of data fusion Podejmowanie Decyzji Eksploatacyjnych W Oparciu O Fuzję Różnego Typu Danych. Eksploatacja i Niezawodnosc, Maint Reliab, 14(2), 135-144.
Garg, R., & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA. Decision Science Letters, 6(4), 351-364.
Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
Jamali, N., & Feylizadeh, M. R. (2015). Performance evaluation of aircraft maintenance department using integration fuzzy AHP and BSC approach in Iran. International Journal of Management, Accoutning and Economics, 2, 977-993.
Kackar, R.N., (1989). Off-line quality control, parameter design, and the Taguchi method. In Quality control, robust design, and the Taguchi method (pp. 51-76). Springer US.
Kauffman, A., & Gupta, M.M. (1991). Introduction to Fuzzy Arithmetic, Theory and Application.
Labib, A.W. (2008). Next generation maintenance systems (NGMS): emerging educational and training needs to support an adaptive approach to maintenance planning and improve decision support. In Proceedings of the 5th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (pp. 15-18).
Li, G.D., Yamaguchi, D., & Nagai, M. (2007). A grey-based decision-making approach to the supplier selection problem. Mathematical and Computer Modelling, 46(3), 573-581.
Liu, S., Yang, Y., & Forrest, J. (2017). Grey Data Analysis: Methods, Models and Applications. Springer Singapore.
Liu, S., & Forrest, J.Y.L. (2010). Grey systems: theory and applications. Springer.
Liu, S., Fang, Z., Yang, Y., & Forrest, J. (2012). General grey numbers and their operations. Grey Systems: Theory and Application, 2(3), 341-349.
Macchi, M., & Fumagalli, L. (2013). A maintenance maturity assessment method for the manufacturing industry. Journal of Quality in Maintenance Engineering, 19(3), 295-315.
Mahmoudi, A., Feylizadeh, M. R., & Darvishi, D. (2017). A note on “A multi-objective programming approach to solve grey linear programming”. Grey Systems: Theory and Application, 8(1), 35-45.
MAzurkiewicz, D. (2014). Computer-aided maintenance and reliability management systems for conveyor belts. Eksploatacja i Niezawodność, 16(3), 377-382.
Microwest Software Systems, Inc., (1984). AMMS PM Software. available at: http://www.microwestsoftware.com/products/ammsweb.stm
Moshaveran Dadbir Pardaz Avizhe, PMWorks Software (2001). available at: http://www.cmms.ir/pmworks/
Nyaoga, R., Magutu, P., & Wang, M. (2016). Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters, 5(3), 431-446.
O’Donoghue, C.D., & Prendergast, J.G. (2004). Implementation and benefits of introducing a computerised maintenance management system into a textile manufacturing company. Journal of Materials Processing Technology, 153, 226-232.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
Opricovic, S., & Tzeng, G.H. (2002). Multicriteria planning of post‐earthquake sustainable reconstruction. Computer‐Aided Civil and Infrastructure Engineering, 17(3), 211-220.
Opricovic, S., & Tzeng, G.H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-529.
Parsaei, S., Keramati, M., Zorriassatine, F., & Feylizadeh, M. (2012). An order acceptance using FAHP and TOPSIS methods: A case study of Iranian vehicle belt production industry. International Journal of Industrial Engineering Computations, 3(2), 2112-224.
Parslan Co., PARSNET Intelligent Maintenace System, (2000). Available at: http:// www.parslan.com.
Rastgar, A., & Naderi, R. (2016). Evaluating pressures for green supply chain management adoption by grey theory approach. Decision Science Letters, 5(3), 417-430.
Saharkhiz, E., Bagherpour, M., Feylizadeh, M.R. and Afsari, A., (2012). Software Performance evaluation of a computerized mainte-nance management System: a Statistical Based comparison, EKSPLOATACJA I NIEZAWODNOSC, 14(1).
Sinkkonen, T., Marttonen, S., Tynninen, L. and Kärri, T., (2013). Modelling costs in maintenance networks. Journal of Quality in Maintenance Engineering, 19(3), pp.330-344.
Spörk, N., (2007). The way forward to excellence in maintenance. Eksploatacja i Niezawodność, (4), pp.77-78.
Stevens, B. (2009). Developing maintenance tactics and preparing for and selecting your CMMS. 5th international physical Asset Management proceeding, pp. 91-202.
Summit Software Systems, Inc.M-pet mainteanace software (1994). available at: http://www.summit-software.com
Tsao, C.T., (2010). The revised algorithms of fuzzy variance and an application to portfolio selection. Soft Computing, 14(4), p.329.
Uysal, F. and Tosun, Ö., (2012). Fuzzy TOPSIS-based computerized maintenance management system selection. Journal of Manufacturing Technology Management, 23(2), pp.212-228.
Van Leekwijck, W., & Kerre, E.E. (1999). Defuzzification: criteria and classification. Fuzzy sets and systems, 108(2), pp.159-178.
Zadeh, L.A., (1965). Fuzzy sets. Information and Control, 8(3), pp.338-353.
Zanakis, S.H., Solomon, A., Wishart, N. and Dublish, S., (1998). Multi-attribute decision making: a simulation comparison of select methods. European Journal of Operational Research, 107(3), pp.507-529.
Braglia, M., Carmignani, G., Frosolini, M., & Grassi, A. (2006). AHP-based evaluation of CMMS software. Journal of Manufacturing Technology Management, 17(5), 585-602.
Carnero, M.C. and Novés, J.L., (2006). Selection of computerised maintenance management system by means of multicriteria methods. Production Planning and Control, 17(4), 335-354.
Dubois, D.J., (1980). Fuzzy sets and systems: theory and applications (Vol. 144). Academic press.
Durán, O., (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP approach. Advances in Engineering Software, 42(10), 821-829.
Feylizadeh, M. R., & Dehghani, M. A. (2016). Priority determination of the renewable energies using fuzzy group VIKOR method; Case study Iran. Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, March 8-10, 2016
Galar, D., GuSTAFSON, A., Tormos, B. and Berges, L., (2012). Maintenance decision making based on different types of data fusion Podejmowanie Decyzji Eksploatacyjnych W Oparciu O Fuzję Różnego Typu Danych. Eksploatacja i Niezawodnosc, Maint Reliab, 14(2), 135-144.
Garg, R., & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA. Decision Science Letters, 6(4), 351-364.
Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
Jamali, N., & Feylizadeh, M. R. (2015). Performance evaluation of aircraft maintenance department using integration fuzzy AHP and BSC approach in Iran. International Journal of Management, Accoutning and Economics, 2, 977-993.
Kackar, R.N., (1989). Off-line quality control, parameter design, and the Taguchi method. In Quality control, robust design, and the Taguchi method (pp. 51-76). Springer US.
Kauffman, A., & Gupta, M.M. (1991). Introduction to Fuzzy Arithmetic, Theory and Application.
Labib, A.W. (2008). Next generation maintenance systems (NGMS): emerging educational and training needs to support an adaptive approach to maintenance planning and improve decision support. In Proceedings of the 5th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (pp. 15-18).
Li, G.D., Yamaguchi, D., & Nagai, M. (2007). A grey-based decision-making approach to the supplier selection problem. Mathematical and Computer Modelling, 46(3), 573-581.
Liu, S., Yang, Y., & Forrest, J. (2017). Grey Data Analysis: Methods, Models and Applications. Springer Singapore.
Liu, S., & Forrest, J.Y.L. (2010). Grey systems: theory and applications. Springer.
Liu, S., Fang, Z., Yang, Y., & Forrest, J. (2012). General grey numbers and their operations. Grey Systems: Theory and Application, 2(3), 341-349.
Macchi, M., & Fumagalli, L. (2013). A maintenance maturity assessment method for the manufacturing industry. Journal of Quality in Maintenance Engineering, 19(3), 295-315.
Mahmoudi, A., Feylizadeh, M. R., & Darvishi, D. (2017). A note on “A multi-objective programming approach to solve grey linear programming”. Grey Systems: Theory and Application, 8(1), 35-45.
MAzurkiewicz, D. (2014). Computer-aided maintenance and reliability management systems for conveyor belts. Eksploatacja i Niezawodność, 16(3), 377-382.
Microwest Software Systems, Inc., (1984). AMMS PM Software. available at: http://www.microwestsoftware.com/products/ammsweb.stm
Moshaveran Dadbir Pardaz Avizhe, PMWorks Software (2001). available at: http://www.cmms.ir/pmworks/
Nyaoga, R., Magutu, P., & Wang, M. (2016). Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters, 5(3), 431-446.
O’Donoghue, C.D., & Prendergast, J.G. (2004). Implementation and benefits of introducing a computerised maintenance management system into a textile manufacturing company. Journal of Materials Processing Technology, 153, 226-232.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
Opricovic, S., & Tzeng, G.H. (2002). Multicriteria planning of post‐earthquake sustainable reconstruction. Computer‐Aided Civil and Infrastructure Engineering, 17(3), 211-220.
Opricovic, S., & Tzeng, G.H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-529.
Parsaei, S., Keramati, M., Zorriassatine, F., & Feylizadeh, M. (2012). An order acceptance using FAHP and TOPSIS methods: A case study of Iranian vehicle belt production industry. International Journal of Industrial Engineering Computations, 3(2), 2112-224.
Parslan Co., PARSNET Intelligent Maintenace System, (2000). Available at: http:// www.parslan.com.
Rastgar, A., & Naderi, R. (2016). Evaluating pressures for green supply chain management adoption by grey theory approach. Decision Science Letters, 5(3), 417-430.
Saharkhiz, E., Bagherpour, M., Feylizadeh, M.R. and Afsari, A., (2012). Software Performance evaluation of a computerized mainte-nance management System: a Statistical Based comparison, EKSPLOATACJA I NIEZAWODNOSC, 14(1).
Sinkkonen, T., Marttonen, S., Tynninen, L. and Kärri, T., (2013). Modelling costs in maintenance networks. Journal of Quality in Maintenance Engineering, 19(3), pp.330-344.
Spörk, N., (2007). The way forward to excellence in maintenance. Eksploatacja i Niezawodność, (4), pp.77-78.
Stevens, B. (2009). Developing maintenance tactics and preparing for and selecting your CMMS. 5th international physical Asset Management proceeding, pp. 91-202.
Summit Software Systems, Inc.M-pet mainteanace software (1994). available at: http://www.summit-software.com
Tsao, C.T., (2010). The revised algorithms of fuzzy variance and an application to portfolio selection. Soft Computing, 14(4), p.329.
Uysal, F. and Tosun, Ö., (2012). Fuzzy TOPSIS-based computerized maintenance management system selection. Journal of Manufacturing Technology Management, 23(2), pp.212-228.
Van Leekwijck, W., & Kerre, E.E. (1999). Defuzzification: criteria and classification. Fuzzy sets and systems, 108(2), pp.159-178.
Zadeh, L.A., (1965). Fuzzy sets. Information and Control, 8(3), pp.338-353.
Zanakis, S.H., Solomon, A., Wishart, N. and Dublish, S., (1998). Multi-attribute decision making: a simulation comparison of select methods. European Journal of Operational Research, 107(3), pp.507-529.