How to cite this paper
Adalı, E & Işık, A. (2016). Integration of DEMATEL, ANP and DEA methods for third party logistics providers’ selection.Management Science Letters , 6(5), 325-340.
Refrences
Aguezzoul A, Rabenasolo B, Jolly-Desodt A (2006) Multicriteria decision aid tool for third party logistics provider & apos; s selection. In: Annals of 2006 International Conference on Service Systems and Service Management, 25-27 October, Troyes, 912-916.
Almeida AT (2007) Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research, 34(12), 3569-3574
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261-1264.
Azadi, M., & Saen, R. F. (2011). A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors. Expert Systems with Applications, 38(10), 12231-12236.
Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294-308.
Büyük?zkan, G., Feyzio?lu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113(1), 148-158.
Cao, J., Cao, G., & Wang, W. W. (2007, November). A hybrid MCMD integrated borda function and gray rational analysis for 3PLs selection. InGrey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on (pp. 215-220). IEEE.
Cao, J., Wang, W. W., & Cao, G. (2007, August). Integration of the social welfare function and TOPSIS algorithm for 3PL selection. In Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on (Vol. 3, pp. 596-600). IEEE.
Chen, F. Y., Hum, S. H., & Sun, J. (2001). Analysis of third-party warehousing contracts with commitments. European Journal of Operational Research, 131(3), 603-610.
CAKIR, E., TOZAN, H., & VAYVAY, ?. (2009). A method for selecting third party logistic service provider using fuzzy AHP. Deniz Bilimleri ve Mühendisli?i Dergisi, 5(3), 38-54
Doyle, J., & Green, R. (1993). Data envelopment analysis and multiple criteria decision making. Omega, 21(6), 713-715.
Efendigil, T., ?nüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness.Computers & Industrial Engineering, 54(2), 269-287.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer. DEMATEL’ 1976 Report. Battelle Geneva Research Centre, Geneva, Switzerland
Fu, K., Xu, J., Zhang, Q., & Miao, Z. (2010). An AHP-based decision support model for 3PL evaluation. 7th International Conference on Service Systems and Service Management (ICSSSM), 28-30 June, Tokyo, 1-6
Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva, Switzerland
Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. Battelle Geneva Research Centre, Geneva, Switzerland
Govindan, K., Grigore, M.C., & Kannan, D. (2010). Ranking of third party logistics provider using fuzzy ELECTRE II. 40th International Conference on Computers and Industrial Engineering (CIE), 25-28 July, 1-5
G?l, H., & Catay, B. (2007). Third-party logistics provider selection: insights from a Turkish automotive company. Supply Chain Management: An International Journal, 12(6), 379-384.
Guoyi, X., & Xiaohua, C. (2011). Research on the third party logistics supplier selection evaluation based on AHP and entropy. International Conference on Mechatronic Science, Electric Engineering and Computer, August 19-22, Jilin, China, 788-792
Gupta, R., Sachdeva, A., & Bhardwaj, A. (2010). Selection of 3pl service provider using integrated fuzzy delphi and fuzzy TOPSIS. Proceedings of the World Congress on Engineering and Computer Science 2, 20-22
Hamdan, A., & Rogers, K.J. (2008). Evaluating the efficiency of 3PL logistics operations. International Journal of Production Economics, 113(1), 235-244.
Hertz, S., & Alfredsson, M. (2003). Strategic development of third party logistics providers. Industrial Marketing Management, 32(2), 139-149.
I??klar, G., Alptekin, E., & Büyük?zkan, G. (2007). Application of a hybrid intelligent decision support model in logistics outsourcing. Computers & Operations Research, 34(12), 3701-3714.
Jayant, A., Gupta, P., Garg, S. K., & Khan, M. (2014). TOPSIS-AHP based approach for selection of reverse logistics service provider: a case study of mobile phone industry. Procedia Engineering, 97, 2147-2156.
Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289.
Kannan, G., Pokharel, S., & Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider.Resources, Conservation and Recycling, 54(1), 28-36.
Karagul, H., & Albayrakoglu, M. (2007). Selecting a third-party logistics provider for an automotive company: an analytic hieararchy process model. ISAHP 2007, August 3-6, Vi?a Del Mar, Chile.
Kumar, M., Vrat, P., & Shankar, R. (2006) A multiobjective 3PL allocation problem for fish distribution. International Journal of Physical Distribution & Logistics Management, 36(9), 702-715
Lehmusvaara, A., Tuominen, M., & Korpela, J. (1999). An integrated approach fort truck carrier selection. International Journal of Logistics: Research and Applications 2(1), 5-20.
Lei, F., & Long, Y. (2011). Research on selection of third-party logistics enterprise based on the extenics. Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference, 27-29 May, 242-246.
Li, C., Sun, Y., & Du, Y. (2008, July). Selection of 3PL service suppliers using a fuzzy analytic network process. In Control and Decision Conference, 2008. CCDC 2008. Chinese (pp. 2174-2179). IEEE.
Li, F., Li, L., Jin, C., Wang, R., Wang, H., & Yang, L. (2012) A 3PL supplier selection model based on fuzzy sets. Computers & Operations Research, 39, 1879-1884.
Liou, J.J.H., & Chuang, Y.T. (2010). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications 37(5), 3755-3761.
Liu, H. T., & Wang, W. K. (2009). An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert Systems with Applications, 36(3), 4387-4398.
Meade, L., & Sarkis, J. (2002). A conceptual model for selecting and evaluating third-party reverse logistics providers. Supply Chain Management: An International Journal, 7(5), 283-295.
Min, H., & Park, B. I. (2008). A hybrid Data Envelopment Analysis and simulation methodology for measuring capacity utilisation and throughput efficiency of container terminals. International Journal of Logistics Systems and Management, 4(6), 650-672.
Qureshi, M.N., Kumar, D., & Kumar, P. (2007). Selection of potencial 3PL service providers using TOPSIS with interval data. In: Annals ofthe 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 30 May – 02 June, Singapore, 1512-1516
Saaty, T.L. (1990). How to mark a decision: The analytic hierarchy process. European Journal of Operational Research 48, 9-26
Saaty, T.L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh, PA: RWS Publications
Saen, R. F. (2010). A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors. The International Journal of Advanced Manufacturing Technology, 46(1-4), 405-410.
Sarkis, J. (2000). A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational Research,123(3), 543-557.
Sarkis, J., & Talluri, S. (2002). A synergistic framework for evaluating business process improvements. International Journal of Flexible Manufacturing Systems, 14(1), 53-71.
Soh, S. (2010). A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. African Journal of Business Management, 4(3), 339-349.
Thakkar, J., Deshmukh, S.G., Gupta, A.D., & Shankar, R. (2005). Selection of third-party logistics (3PL): A hybrid approach using interpretive structural modelling (ISM) and analytic network process (ANP). Supply Chain Forum: An international Journal 6(1), 32-46.
Tohumcu, Z., & Karasakal, E. (2010). R & D project performance evaluation with multiple and interdependent criteria. IEEE Transacitons on Engineering Management, 57(4), 620-633.
Tsai, W.H., & Hsu, W. (2010). A novel hybrid model based on DEMATEL and ANP for selecting cost of quality model development. Total Quality Management & Business Excellence 21(4), 439-456.
Tseng, M.L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard. Computers and Education 55(1), 188-201.
Tseng, M. L. (2009). Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila.Environmental Monitoring and Assessment, 156(1-4), 181-197.
Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
Zhang, H., Li, X., & Liu, W. (2005). An AHP/DEA methodology for 3PL vendor selection in 4PL. In Computer Supported Cooperative Work in Design II (pp. 646-655). Springer Berlin Heidelberg.
Zhou, G., Min, H., Xu, C., & Cao, Z. (2008). Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis. International Journal of Physical Distribution & Logistics Management, 38(4), 262-279.
Almeida AT (2007) Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research, 34(12), 3569-3574
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261-1264.
Azadi, M., & Saen, R. F. (2011). A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors. Expert Systems with Applications, 38(10), 12231-12236.
Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294-308.
Büyük?zkan, G., Feyzio?lu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113(1), 148-158.
Cao, J., Cao, G., & Wang, W. W. (2007, November). A hybrid MCMD integrated borda function and gray rational analysis for 3PLs selection. InGrey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on (pp. 215-220). IEEE.
Cao, J., Wang, W. W., & Cao, G. (2007, August). Integration of the social welfare function and TOPSIS algorithm for 3PL selection. In Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on (Vol. 3, pp. 596-600). IEEE.
Chen, F. Y., Hum, S. H., & Sun, J. (2001). Analysis of third-party warehousing contracts with commitments. European Journal of Operational Research, 131(3), 603-610.
CAKIR, E., TOZAN, H., & VAYVAY, ?. (2009). A method for selecting third party logistic service provider using fuzzy AHP. Deniz Bilimleri ve Mühendisli?i Dergisi, 5(3), 38-54
Doyle, J., & Green, R. (1993). Data envelopment analysis and multiple criteria decision making. Omega, 21(6), 713-715.
Efendigil, T., ?nüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness.Computers & Industrial Engineering, 54(2), 269-287.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer. DEMATEL’ 1976 Report. Battelle Geneva Research Centre, Geneva, Switzerland
Fu, K., Xu, J., Zhang, Q., & Miao, Z. (2010). An AHP-based decision support model for 3PL evaluation. 7th International Conference on Service Systems and Service Management (ICSSSM), 28-30 June, Tokyo, 1-6
Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva, Switzerland
Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. Battelle Geneva Research Centre, Geneva, Switzerland
Govindan, K., Grigore, M.C., & Kannan, D. (2010). Ranking of third party logistics provider using fuzzy ELECTRE II. 40th International Conference on Computers and Industrial Engineering (CIE), 25-28 July, 1-5
G?l, H., & Catay, B. (2007). Third-party logistics provider selection: insights from a Turkish automotive company. Supply Chain Management: An International Journal, 12(6), 379-384.
Guoyi, X., & Xiaohua, C. (2011). Research on the third party logistics supplier selection evaluation based on AHP and entropy. International Conference on Mechatronic Science, Electric Engineering and Computer, August 19-22, Jilin, China, 788-792
Gupta, R., Sachdeva, A., & Bhardwaj, A. (2010). Selection of 3pl service provider using integrated fuzzy delphi and fuzzy TOPSIS. Proceedings of the World Congress on Engineering and Computer Science 2, 20-22
Hamdan, A., & Rogers, K.J. (2008). Evaluating the efficiency of 3PL logistics operations. International Journal of Production Economics, 113(1), 235-244.
Hertz, S., & Alfredsson, M. (2003). Strategic development of third party logistics providers. Industrial Marketing Management, 32(2), 139-149.
I??klar, G., Alptekin, E., & Büyük?zkan, G. (2007). Application of a hybrid intelligent decision support model in logistics outsourcing. Computers & Operations Research, 34(12), 3701-3714.
Jayant, A., Gupta, P., Garg, S. K., & Khan, M. (2014). TOPSIS-AHP based approach for selection of reverse logistics service provider: a case study of mobile phone industry. Procedia Engineering, 97, 2147-2156.
Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289.
Kannan, G., Pokharel, S., & Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider.Resources, Conservation and Recycling, 54(1), 28-36.
Karagul, H., & Albayrakoglu, M. (2007). Selecting a third-party logistics provider for an automotive company: an analytic hieararchy process model. ISAHP 2007, August 3-6, Vi?a Del Mar, Chile.
Kumar, M., Vrat, P., & Shankar, R. (2006) A multiobjective 3PL allocation problem for fish distribution. International Journal of Physical Distribution & Logistics Management, 36(9), 702-715
Lehmusvaara, A., Tuominen, M., & Korpela, J. (1999). An integrated approach fort truck carrier selection. International Journal of Logistics: Research and Applications 2(1), 5-20.
Lei, F., & Long, Y. (2011). Research on selection of third-party logistics enterprise based on the extenics. Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference, 27-29 May, 242-246.
Li, C., Sun, Y., & Du, Y. (2008, July). Selection of 3PL service suppliers using a fuzzy analytic network process. In Control and Decision Conference, 2008. CCDC 2008. Chinese (pp. 2174-2179). IEEE.
Li, F., Li, L., Jin, C., Wang, R., Wang, H., & Yang, L. (2012) A 3PL supplier selection model based on fuzzy sets. Computers & Operations Research, 39, 1879-1884.
Liou, J.J.H., & Chuang, Y.T. (2010). Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Systems with Applications 37(5), 3755-3761.
Liu, H. T., & Wang, W. K. (2009). An integrated fuzzy approach for provider evaluation and selection in third-party logistics. Expert Systems with Applications, 36(3), 4387-4398.
Meade, L., & Sarkis, J. (2002). A conceptual model for selecting and evaluating third-party reverse logistics providers. Supply Chain Management: An International Journal, 7(5), 283-295.
Min, H., & Park, B. I. (2008). A hybrid Data Envelopment Analysis and simulation methodology for measuring capacity utilisation and throughput efficiency of container terminals. International Journal of Logistics Systems and Management, 4(6), 650-672.
Qureshi, M.N., Kumar, D., & Kumar, P. (2007). Selection of potencial 3PL service providers using TOPSIS with interval data. In: Annals ofthe 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 30 May – 02 June, Singapore, 1512-1516
Saaty, T.L. (1990). How to mark a decision: The analytic hierarchy process. European Journal of Operational Research 48, 9-26
Saaty, T.L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh, PA: RWS Publications
Saen, R. F. (2010). A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors. The International Journal of Advanced Manufacturing Technology, 46(1-4), 405-410.
Sarkis, J. (2000). A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational Research,123(3), 543-557.
Sarkis, J., & Talluri, S. (2002). A synergistic framework for evaluating business process improvements. International Journal of Flexible Manufacturing Systems, 14(1), 53-71.
Soh, S. (2010). A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. African Journal of Business Management, 4(3), 339-349.
Thakkar, J., Deshmukh, S.G., Gupta, A.D., & Shankar, R. (2005). Selection of third-party logistics (3PL): A hybrid approach using interpretive structural modelling (ISM) and analytic network process (ANP). Supply Chain Forum: An international Journal 6(1), 32-46.
Tohumcu, Z., & Karasakal, E. (2010). R & D project performance evaluation with multiple and interdependent criteria. IEEE Transacitons on Engineering Management, 57(4), 620-633.
Tsai, W.H., & Hsu, W. (2010). A novel hybrid model based on DEMATEL and ANP for selecting cost of quality model development. Total Quality Management & Business Excellence 21(4), 439-456.
Tseng, M.L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard. Computers and Education 55(1), 188-201.
Tseng, M. L. (2009). Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila.Environmental Monitoring and Assessment, 156(1-4), 181-197.
Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
Zhang, H., Li, X., & Liu, W. (2005). An AHP/DEA methodology for 3PL vendor selection in 4PL. In Computer Supported Cooperative Work in Design II (pp. 646-655). Springer Berlin Heidelberg.
Zhou, G., Min, H., Xu, C., & Cao, Z. (2008). Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis. International Journal of Physical Distribution & Logistics Management, 38(4), 262-279.