How to cite this paper
Asgari, M & Abbasi, A. (2015). Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision.Decision Science Letters , 4(2), 193-202.
Refrences
Abbasi, A. & Asgari, M.S. (2014). Supplier selection using adaptive neuro-fuzzy inference system and Fuzzy Delphi. International Journal of Operations and Logistics Management, 3 (4), 351-371.
Aksoy, A. & Ozturk, N. (2011). Supplier selection and performance evaluation in just-in-time production environments. Expert systems with applications, 38 (5), 6351-6359.
Alexander, A., Walker, H. & Naim, M. (2014). Decision theory in sustainable supply chain management: a literature review. Supply Chain Management: An International Journal, 19 (5/6), 504 - 522
Amiri, M. & Jahani, S. (2010). Applying AHP IDEA method for evaluating and selecting suppliers. Journal of Industrial Management, 2 (5), 5–18.
Arabzadeh, S.M. (2011). Designing a neural network approach for suppliers and allocating purchase orders based on Kraljic Model, Master Thesis, Islamic Azad University, Najaf Abad Branch.
Asghari, M. & Abrishami, S.J. (2014). Weighting Suppliers Using Fuzzy Inference System and Gradual Covering in a Supply Chain Network. Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, January 7 – 9, 2014.
Azar, A. & Rajabzadeh, A. (2011). Practical decision making via MADM approach, Tehran, Negah-e Danesh, 1st Edition.
Boer, L.D., Labro, E. & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7 (2), 75-89.
Choy, K.L., Lee, W.B. & Lo, V. (2003). Design of an intelligent supplier relationship management system: a hybrid case based neural network approach. Expert Systems with Applications, 24 (2), 225-237.
Deshmukh, A.J. & Vasudevan, H. (2014). Emerging supplier selection criteria in the context of traditional vs green supply chain management. International Journal of Managing Value and Supply Chains, 5 (1), 19-33.
Dickson, G.W. (1996). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2 (1), 28–41.
Feizi, A. & Solookdar, A. (2014). Evaluating banking industry performance with integrated approach of fuzzy TOPSIS- Balanced Scorecard (FTOPSIS-BSC). Journal of Financial Engineering and Exchange Management, 20, 57–78.
Franklin, L., Hai, F-H & Lin, H. (2005). The voting analytic hierarchy process method for selecting supplier. Journal of Production Economics, 97, 308-317.
Ha, S.H. & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34 (2), 1303-1311.
Hadian, Hengameh. (2009). Suppliers selection and allocation of orders in discount conditions in a supply chain system using Multiple Attribute Decision Making methods, Master thesis, Sharif University of Technology.
Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. New York: Springer.
Kabir, G. & Sumi, R.S. (2013). Integrating fuzzy Delphi with fuzzy analytic hierarchy process for multiple criteria inventory classification. Journal of engineering, project, and production management, 3 (1), 22-34.
Karbasian, M. Khaboshani, A., Javanmardi, M., Zanjrichi, S.M. (2011). Application of ISM for classifying agile supplier selection indices and ranking them using fuzzy TOPSIS-AHP model. Journal of Production and Operations Management, 2 (2), 22–107.
Karimi, H. & Salmasi, N. (2010). Application of neural networks in selecting evaluation criteria and the use of data mining in determining the characteristics of suppliers credit levels (Case Study: ISOICO Company). Industrial Engineering and Management, Sharif University, Course 1-28, 1, 113–120.
Khalili-Damghani, K., Dideh-Khani, H., & Sadi-Nezhad, S. (2013). A two-stage approach based on ANFIS and fuzzy goal programming for supplier selection. Int. J. Applied Decision Sciences, 6 (1), 1-14.
Kuo, R.J., Hong, S.Y. & Huang, Y.C. (2010). Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection. Applied Mathematical Modelling, 34 (12), 3976-3990.
Lakshmanpriya, C., Sangeetha, N. & Lavanpriya, C. (2013). Vendor selection in manufacturing industry using AHP and ANN. The SIJ Transactions on Industrial, Financial & Business Management, 1 (1), 29-34.
Lin, C.W. & Chen, H.Y. )2004(. A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources. Computers in industry, 55 (2), 159-179.
Luo, X., Wu, C.h., Rosenberg, D. & Barnes, D. (2009). Supplier selection in agile supply chains: An information-processing model and an illustration. Journal of Purchasing & Supply Management, 15 (4), 249–262.
Mohaghari, A. Kashef, M. & Khanmohammadi, E. (2014). A Novel Technique to Solve the Supplier Selection Problems: Combination of Decision Making Trial & Evaluation Laboratory, Graph Theory and Matrix Approach Methods. International Journal of Industrial Engineering & Production Research, 25 (2), 103-113.
Mokhtari, M., Javanshir, H., Dolatabadi, M.K., Tashakori, L. & Madanchi, F. (2013). Supplier selection in textile industry using MADM. Research journal of applied science, engineering and technology, 6 (3), 400-411.
Ozkan, G. & Inal, M. (2014). Comparison of neural network application for fuzzy and ANFIS approaches for multi-criteria decision making problems. Applied Soft Computing, DOI: http://dx.doi.org/doi:10.1016/j.asoc.2014.06.032
Pal, O., Gupta, A.K. & Garg, R.K. (2013). Supplier Selection Criteria and Methods in Supply Chains: A Review. International Journal of Social, Management, Economics and Business Engineering, 7 (10), 1403-1409.
Rabie, M., Azar, A., Modares Yazdi, M. & Fetanat Fard Haghighi, M. (2011). Planning mathematical model of multipurpose stable sourcing: An Approach to Reduce Supply Chain Risk (Case Study: Iran Khodro Supply Chain), Industrial Management Perspective, 1, 57-77.
Rouyendegh, B.D. & Saputro, T.E. (2014). Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia - Social and Behavioral Sciences, 116, 3957- 3970.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48 (1), 9-26.
Senvar, O., Tuzkaya, G. & Kahraman, C. (2014). Multi criteria supplier selection using fuzzy PROMETHEE method. Studies in fuzziness and soft computing, 313, 21-34.
Sepahvaand, R. (2014). Application of QFD and AHP approaches in supplier selection with a case study of Zamzam Company, Journal of Operations Research and Its Applications, 11(1), 19-30.
Setak, M., Sharifi, S. & Alimohammadian, A. (2012). Supplier selection and order allocation models in supply chain management: a review. World applied sciences journal, 18 (1), 55-72.
Seydi, M. & Mozafari, M. (2014). Planning a model for selecting suppliers using a combination of hierarchical fuzzy TOPSIS technique and linear programming. The First National Conference on Industrial Engineering Research, Hamadan, Tolooe Farzin Science and Industry Company, http://www.civilica.com/Paper-RIEEM01-RIEEM01_036.html
Tahriri, F., Mousavi, M., Haghighi, S.H. & Dawal , S.Z.M. (2014). The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, DOI 10.1007/s40092-014-0066-6
Vahdani, B., Iranmanesh, S.H., Mousavi, S.M. & Abdollahzade, M. (2012). A locally linear neuro-fuzzy model for supplier selection in cosmetics industry. Applied Mathematical Modelling, 36 (10), 4714-4727.
Watt, D. J., Kayis, B., & Willey, K. (2009). Identifying key factors in the evaluation of tenders for projects and services. International Journal of Project Management, 27(3), 250-260.
Wu, D. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36 (5), 9105-9112.
Zeydan, M., Colpan, C. & Cobanoglu, C. (2011). A combined methodology for supplier selection and performance evaluation. Expert Systems with Applications, 38 (3), 2741-2751.
Aksoy, A. & Ozturk, N. (2011). Supplier selection and performance evaluation in just-in-time production environments. Expert systems with applications, 38 (5), 6351-6359.
Alexander, A., Walker, H. & Naim, M. (2014). Decision theory in sustainable supply chain management: a literature review. Supply Chain Management: An International Journal, 19 (5/6), 504 - 522
Amiri, M. & Jahani, S. (2010). Applying AHP IDEA method for evaluating and selecting suppliers. Journal of Industrial Management, 2 (5), 5–18.
Arabzadeh, S.M. (2011). Designing a neural network approach for suppliers and allocating purchase orders based on Kraljic Model, Master Thesis, Islamic Azad University, Najaf Abad Branch.
Asghari, M. & Abrishami, S.J. (2014). Weighting Suppliers Using Fuzzy Inference System and Gradual Covering in a Supply Chain Network. Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, January 7 – 9, 2014.
Azar, A. & Rajabzadeh, A. (2011). Practical decision making via MADM approach, Tehran, Negah-e Danesh, 1st Edition.
Boer, L.D., Labro, E. & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7 (2), 75-89.
Choy, K.L., Lee, W.B. & Lo, V. (2003). Design of an intelligent supplier relationship management system: a hybrid case based neural network approach. Expert Systems with Applications, 24 (2), 225-237.
Deshmukh, A.J. & Vasudevan, H. (2014). Emerging supplier selection criteria in the context of traditional vs green supply chain management. International Journal of Managing Value and Supply Chains, 5 (1), 19-33.
Dickson, G.W. (1996). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2 (1), 28–41.
Feizi, A. & Solookdar, A. (2014). Evaluating banking industry performance with integrated approach of fuzzy TOPSIS- Balanced Scorecard (FTOPSIS-BSC). Journal of Financial Engineering and Exchange Management, 20, 57–78.
Franklin, L., Hai, F-H & Lin, H. (2005). The voting analytic hierarchy process method for selecting supplier. Journal of Production Economics, 97, 308-317.
Ha, S.H. & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34 (2), 1303-1311.
Hadian, Hengameh. (2009). Suppliers selection and allocation of orders in discount conditions in a supply chain system using Multiple Attribute Decision Making methods, Master thesis, Sharif University of Technology.
Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. New York: Springer.
Kabir, G. & Sumi, R.S. (2013). Integrating fuzzy Delphi with fuzzy analytic hierarchy process for multiple criteria inventory classification. Journal of engineering, project, and production management, 3 (1), 22-34.
Karbasian, M. Khaboshani, A., Javanmardi, M., Zanjrichi, S.M. (2011). Application of ISM for classifying agile supplier selection indices and ranking them using fuzzy TOPSIS-AHP model. Journal of Production and Operations Management, 2 (2), 22–107.
Karimi, H. & Salmasi, N. (2010). Application of neural networks in selecting evaluation criteria and the use of data mining in determining the characteristics of suppliers credit levels (Case Study: ISOICO Company). Industrial Engineering and Management, Sharif University, Course 1-28, 1, 113–120.
Khalili-Damghani, K., Dideh-Khani, H., & Sadi-Nezhad, S. (2013). A two-stage approach based on ANFIS and fuzzy goal programming for supplier selection. Int. J. Applied Decision Sciences, 6 (1), 1-14.
Kuo, R.J., Hong, S.Y. & Huang, Y.C. (2010). Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection. Applied Mathematical Modelling, 34 (12), 3976-3990.
Lakshmanpriya, C., Sangeetha, N. & Lavanpriya, C. (2013). Vendor selection in manufacturing industry using AHP and ANN. The SIJ Transactions on Industrial, Financial & Business Management, 1 (1), 29-34.
Lin, C.W. & Chen, H.Y. )2004(. A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources. Computers in industry, 55 (2), 159-179.
Luo, X., Wu, C.h., Rosenberg, D. & Barnes, D. (2009). Supplier selection in agile supply chains: An information-processing model and an illustration. Journal of Purchasing & Supply Management, 15 (4), 249–262.
Mohaghari, A. Kashef, M. & Khanmohammadi, E. (2014). A Novel Technique to Solve the Supplier Selection Problems: Combination of Decision Making Trial & Evaluation Laboratory, Graph Theory and Matrix Approach Methods. International Journal of Industrial Engineering & Production Research, 25 (2), 103-113.
Mokhtari, M., Javanshir, H., Dolatabadi, M.K., Tashakori, L. & Madanchi, F. (2013). Supplier selection in textile industry using MADM. Research journal of applied science, engineering and technology, 6 (3), 400-411.
Ozkan, G. & Inal, M. (2014). Comparison of neural network application for fuzzy and ANFIS approaches for multi-criteria decision making problems. Applied Soft Computing, DOI: http://dx.doi.org/doi:10.1016/j.asoc.2014.06.032
Pal, O., Gupta, A.K. & Garg, R.K. (2013). Supplier Selection Criteria and Methods in Supply Chains: A Review. International Journal of Social, Management, Economics and Business Engineering, 7 (10), 1403-1409.
Rabie, M., Azar, A., Modares Yazdi, M. & Fetanat Fard Haghighi, M. (2011). Planning mathematical model of multipurpose stable sourcing: An Approach to Reduce Supply Chain Risk (Case Study: Iran Khodro Supply Chain), Industrial Management Perspective, 1, 57-77.
Rouyendegh, B.D. & Saputro, T.E. (2014). Supplier selection using integrated fuzzy TOPSIS and MCGP: a case study. Procedia - Social and Behavioral Sciences, 116, 3957- 3970.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48 (1), 9-26.
Senvar, O., Tuzkaya, G. & Kahraman, C. (2014). Multi criteria supplier selection using fuzzy PROMETHEE method. Studies in fuzziness and soft computing, 313, 21-34.
Sepahvaand, R. (2014). Application of QFD and AHP approaches in supplier selection with a case study of Zamzam Company, Journal of Operations Research and Its Applications, 11(1), 19-30.
Setak, M., Sharifi, S. & Alimohammadian, A. (2012). Supplier selection and order allocation models in supply chain management: a review. World applied sciences journal, 18 (1), 55-72.
Seydi, M. & Mozafari, M. (2014). Planning a model for selecting suppliers using a combination of hierarchical fuzzy TOPSIS technique and linear programming. The First National Conference on Industrial Engineering Research, Hamadan, Tolooe Farzin Science and Industry Company, http://www.civilica.com/Paper-RIEEM01-RIEEM01_036.html
Tahriri, F., Mousavi, M., Haghighi, S.H. & Dawal , S.Z.M. (2014). The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, DOI 10.1007/s40092-014-0066-6
Vahdani, B., Iranmanesh, S.H., Mousavi, S.M. & Abdollahzade, M. (2012). A locally linear neuro-fuzzy model for supplier selection in cosmetics industry. Applied Mathematical Modelling, 36 (10), 4714-4727.
Watt, D. J., Kayis, B., & Willey, K. (2009). Identifying key factors in the evaluation of tenders for projects and services. International Journal of Project Management, 27(3), 250-260.
Wu, D. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36 (5), 9105-9112.
Zeydan, M., Colpan, C. & Cobanoglu, C. (2011). A combined methodology for supplier selection and performance evaluation. Expert Systems with Applications, 38 (3), 2741-2751.