How to cite this paper
Parhizgarsharif, A., Lork, A & Telvari, A. (2019). A hybrid approach based on the BWM-VIKOR and GRA for ranking facility location in construction site layout for Mehr project in Tehran.Decision Science Letters , 8(3), 233-248.
Refrences
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Aikhuele, D. (2019). A model for supporting designers and for determining design stakeholders’ preferences.International Journal of Data and Network Science, 3(2), 109-118.
Al Hawarneh, A., Bendak, S., & Ghanim, F. (2019). Dynamic facilities planning model for large scale construction projects. Automation in Construction, 98, 72-89.
Arashpour, M., Wakefield, R., Abbasi, B., Arashpour, M., & Hosseini, R. (2018). Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources. Architectural Engineering and Design Management, 14(1-2), 46-59.
Ardeshir, A., Mohseni, N., Behzadian, K., & Errington, M. (2014). Selection of a bridge construction site using fuzzy analytical hierarchy process in geographic information system. Arabian Journal for Science and Engineering, 39(6), 4405-4420.
Ataei, E., & Branch, A. (2013). Application of TOPSIS and fuzzy TOPSIS methods for plant layout design. World Applied Sciences Journal, 24(7), 908-913.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Biswas, T & Saha, P. (2019). Selection of commercially available scooters by new MCDM method. International Journal of Data and Network Science, 3(2), 137-144.
Deng, J.-L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
Durmusoglu, Z. D. (2018). A TOPSIS-based approach for sustainable layout design: activity relation chart evaluation. Kybernetes, 47(10), 2012-2024.
Esfahani, H. K., & Nik, M. S. A. (2016). Use of GIS-based Multi-Criteria Decision Making to Optimal Site Selection in an Illustrative Study Area in the Center of Iran. International Journal of Engineering Research, 5(4), 260-263.
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
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.
Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision making methods in construction. Automation in Construction, 45, 151-162.
Jozi, S. A., Shoshtary, M. T., & Zadeh, A. R. K. (2015). Environmental risk assessment of dams in construction phase using a multi-criteria decision-making (MCDM) method. Human and Ecological Risk Assessment: An International Journal, 21(1), 1-16.
Kaveh, A., Rastegar Moghaddam, M., & Khanzadi, M. (2018). Efficient multi-objective optimization algorithms for construction site layout problem. Scientia Iranica, 25(4), 2051-2062.
Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609.
Kumar, S. S., & Cheng, J. C. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, 24-37.
Marzouk, M., & Al Daour, I. (2018). Planning labor evacuation for construction sites using BIM and agent-based simulation. Safety Science, 109, 174-185.
Mytilinou, V., Lozano-Minguez, E., & Kolios, A. (2018). A framework for the selection of optimum offshore wind farm locations for deployment. Energies, 11(7), 1855.
Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., Rifai, A. P., & Aoyama, H. (2016). An integrated MCDM model for conveyor equipment evaluation and selection in an FMC based on a fuzzy AHP and fuzzy ARAS in the presence of vagueness. PloS one, 11(4), e0153222.
Ning, X., Ding, L., Luo, H., & Qi, S. (2016). A multi-attribute model for construction site layout using intuitionistic fuzzy logic. Automation in Construction, 72, 380-387.
Önüt, S., Efendigil, T., & Kara, S. S. (2010). A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey. Expert systems with applications, 37(3), 1973-1980.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130 .
Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research, 145(1), 85-91.
Said, H., & El-Rayes, K. (2013). Performance of global optimization models for dynamic site layout planning of construction projects. Automation in Construction, 36, 71-78.
Stanujkić, D., Đorđević, B., & Đorđević, M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
Vatansever, K & Akgűl, Y. (2018). Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies.Decision Science Letters , 7(2), 119-130.
Yahya, M., & Saka, M. (2014). Construction site layout planning using multi-objective artificial bee colony algorithm with Levy flights. Automation in Construction, 38, 14-29.
Zavadskas, E. K., Antucheviciene, J., Šaparauskas, J., & Turskis, Z. (2013). Multi-criteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
Zhang, S.-f., Liu, S.-y., & Zhai, R.-h. (2011). An extended GRA method for MCDM with interval-valued triangular fuzzy assessments and unknown weights. Computers & Industrial Engineering, 61(4), 1336-1341.
Aikhuele, D. (2019). A model for supporting designers and for determining design stakeholders’ preferences.International Journal of Data and Network Science, 3(2), 109-118.
Al Hawarneh, A., Bendak, S., & Ghanim, F. (2019). Dynamic facilities planning model for large scale construction projects. Automation in Construction, 98, 72-89.
Arashpour, M., Wakefield, R., Abbasi, B., Arashpour, M., & Hosseini, R. (2018). Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources. Architectural Engineering and Design Management, 14(1-2), 46-59.
Ardeshir, A., Mohseni, N., Behzadian, K., & Errington, M. (2014). Selection of a bridge construction site using fuzzy analytical hierarchy process in geographic information system. Arabian Journal for Science and Engineering, 39(6), 4405-4420.
Ataei, E., & Branch, A. (2013). Application of TOPSIS and fuzzy TOPSIS methods for plant layout design. World Applied Sciences Journal, 24(7), 908-913.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Biswas, T & Saha, P. (2019). Selection of commercially available scooters by new MCDM method. International Journal of Data and Network Science, 3(2), 137-144.
Deng, J.-L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294.
Durmusoglu, Z. D. (2018). A TOPSIS-based approach for sustainable layout design: activity relation chart evaluation. Kybernetes, 47(10), 2012-2024.
Esfahani, H. K., & Nik, M. S. A. (2016). Use of GIS-based Multi-Criteria Decision Making to Optimal Site Selection in an Illustrative Study Area in the Center of Iran. International Journal of Engineering Research, 5(4), 260-263.
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
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.
Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision making methods in construction. Automation in Construction, 45, 151-162.
Jozi, S. A., Shoshtary, M. T., & Zadeh, A. R. K. (2015). Environmental risk assessment of dams in construction phase using a multi-criteria decision-making (MCDM) method. Human and Ecological Risk Assessment: An International Journal, 21(1), 1-16.
Kaveh, A., Rastegar Moghaddam, M., & Khanzadi, M. (2018). Efficient multi-objective optimization algorithms for construction site layout problem. Scientia Iranica, 25(4), 2051-2062.
Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609.
Kumar, S. S., & Cheng, J. C. (2015). A BIM-based automated site layout planning framework for congested construction sites. Automation in Construction, 59, 24-37.
Marzouk, M., & Al Daour, I. (2018). Planning labor evacuation for construction sites using BIM and agent-based simulation. Safety Science, 109, 174-185.
Mytilinou, V., Lozano-Minguez, E., & Kolios, A. (2018). A framework for the selection of optimum offshore wind farm locations for deployment. Energies, 11(7), 1855.
Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., Rifai, A. P., & Aoyama, H. (2016). An integrated MCDM model for conveyor equipment evaluation and selection in an FMC based on a fuzzy AHP and fuzzy ARAS in the presence of vagueness. PloS one, 11(4), e0153222.
Ning, X., Ding, L., Luo, H., & Qi, S. (2016). A multi-attribute model for construction site layout using intuitionistic fuzzy logic. Automation in Construction, 72, 380-387.
Önüt, S., Efendigil, T., & Kara, S. S. (2010). A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey. Expert systems with applications, 37(3), 1973-1980.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130 .
Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research, 145(1), 85-91.
Said, H., & El-Rayes, K. (2013). Performance of global optimization models for dynamic site layout planning of construction projects. Automation in Construction, 36, 71-78.
Stanujkić, D., Đorđević, B., & Đorđević, M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
Vatansever, K & Akgűl, Y. (2018). Performance evaluation of websites using entropy and grey relational analysis methods: The case of airline companies.Decision Science Letters , 7(2), 119-130.
Yahya, M., & Saka, M. (2014). Construction site layout planning using multi-objective artificial bee colony algorithm with Levy flights. Automation in Construction, 38, 14-29.
Zavadskas, E. K., Antucheviciene, J., Šaparauskas, J., & Turskis, Z. (2013). Multi-criteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107-112.
Zhang, S.-f., Liu, S.-y., & Zhai, R.-h. (2011). An extended GRA method for MCDM with interval-valued triangular fuzzy assessments and unknown weights. Computers & Industrial Engineering, 61(4), 1336-1341.