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How to cite this paper
APA: Janaki, D., Izadbakhsh, H & Hatefi, S. (2018). The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters, 8(8), 835-848.
Chicago/Turabian: Janaki, D., Izadbakhsh, H & Hatefi, S. 2018. "The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique." Management Science Letters 8, no. 8 (2018): 835-848.
AMA: Janaki, D., Izadbakhsh, H & Hatefi, S. The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters. 2018;8(8):835-848.
References
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Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M. (2015). The impact of information sharing on or-dering policies to improve supply chain performances. Computers & Industrial Engineering, 82, 127-142.
Chakraborty, S., Kumar, V & Ramakrishnan, K. (2018). Selection of the all-time best World XI Test cricket team using the TOPSIS method. Decision Science Letters, 8(1), 95-108.
Díaz-Mateus, Y., Forero, B., López-Ospina, H., & Zambrano-Rey, G. (2018). Pricing and lot sizing opti-mization in a two-echelon supply chain with a constrained Logit demand function. International Jour-nal of Industrial Engineering Computations, 9(2), 205-220.
Estampe, D., Lamouri, S., Paris, J. L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247-258.
Gunasekaran, A., & Ngai, E. W. (2009). Modeling and analysis of build-to-order supply chains. European Journal of Operational Research, 195(2), 319-334.
Gunasekaran, A., & Ngai, E. W. (2004). Information systems in supply chain integration and manage-ment. European Journal of Operational Research, 159(2), 269-295.
Gazanfari, M., Reyazi, A., & Kazemi, M. (2000). Supply Chain Management. Monthly Scientific-Educational Tadbir, 117.
Hwang, C-L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer-Verlag, Berlin Heidelberg.
Hosoda, T., Disney, S. M., & Gavirneni, S. (2015). The impact of information sharing, random yield, cor-relation, and lead times in closed loop supply chains. European Journal of Operational Re-search, 246(3), 827-836.
Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626-643.
Li, G., Huang, F., Cheng, T. E., & Ji, P. (2015). Competition between manufacturer's online customization channel and conventional retailer. IEEE Transactions on Engineering Management, 62(2), 150-157.
Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). Combining SCOR® model and fuzzy TOPSIS for sup-plier evaluation and management. International Journal of Production Economics, 174, 128-141.
Mittal, K., Tewari, P., & Khanduja, D. (2018). On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study. Management Science Let-ters, 8(4), 201-216.
Perçin, S. (2008). Use of fuzzy AHP for evaluating the benefits of information-sharing decisions in a supply chain. Journal of Enterprise Information Management, 21(3), 263-284.
Piotrowicz, W., & Cuthbertson, R. (2015). Performance measurement and metrics in supply chains: an exploratory study. International Journal of Productivity and Performance Management, 64(8), 1068-1091.
Qin, F., Mai, F., Fry, M. J., & Raturi, A. S. (2016). Supply-chain performance anomalies: Fairness con-cerns under private cost information. European Journal of Operational Research, 252(1), 170-182.
Rached, M., Bahroun, Z., & Campagne, J. P. (2015). Assessing the value of information sharing and its impact on the performance of the various partners in supply chains. Computers & Industrial Engineer-ing, 88, 237-253.
Raghunathan, S. (2003). Impact of demand correlation on the value of and incentives for information sharing in a supply chain. European Journal of Operational Research, 146(3), 634-649.
Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP).
Sadjadi, S. J., Naeij, J., Shavandi, H., & Makui, A. (2016). Equilibrium pricing and ordering policies in a two-echelon supply chain in the presence of strategic customers. Anais da Academia Brasileira de Ciências, 88(2), 1127-1150.
Samizadeh, R., & Hosaini, R. (2010). Supply Chain Management and Information Technology. Second National Conference on Information Technology, Isfahan, July.
Slone, R. E., Mentzer, J. T., & Dittmann, J. P. (2007). Are you the weakest link in your company's supply chain?. Harvard Business Review, 85(9), 116.
Tsai, W. H., & Chou, W. C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert systems with applications, 36(2), 1444-1458.
Talluri, S., Narasimhan, R., & Nair, A. (2006). Vendor performance with supply risk: A chance-constrained DEA approach. International Journal of Production Economics, 100(2), 212-222.
Vishal, V.J. (2015). The roles of information technology supply chain management. International Jour-nal of Management Research & Review, 5(6), 369-379.
Welker, G. A., van der Vaart, T., & van Donk, D. P. (2008). The influence of business conditions on sup-ply chain information-sharing mechanisms: a study among supply chain links of SMEs. International Journal of Production Economics, 113(2), 706-720.
Zhou, M., Dan, B., Songxuan M., * Zhang, X. (2016). Supply chain coordination with information shar-ing. European Journal of Operational Research, 100(2), 1–18.
Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8, 338-353.
Breen, L. & Crawford, H. (2005). Improving the pharmaceutical supply chain. International Journal of Quality & Reliability Management, 22(6), 572-590.
Black, G. (2002). Analysis of project management survey data, Process quality Associated, INC., Septem-ber 4, 2002. Laudon, K. and Laudon, J. (2002). Information systems management: organization and technology. Prentice Hall.
Benton, W.C. & Maloni, M. (2002). Relationship performance in the automotive supply chain. Fisher Col-lege of Business, The Ohio State University.
Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M. (2015). The impact of information sharing on or-dering policies to improve supply chain performances. Computers & Industrial Engineering, 82, 127-142.
Chakraborty, S., Kumar, V & Ramakrishnan, K. (2018). Selection of the all-time best World XI Test cricket team using the TOPSIS method. Decision Science Letters, 8(1), 95-108.
Díaz-Mateus, Y., Forero, B., López-Ospina, H., & Zambrano-Rey, G. (2018). Pricing and lot sizing opti-mization in a two-echelon supply chain with a constrained Logit demand function. International Jour-nal of Industrial Engineering Computations, 9(2), 205-220.
Estampe, D., Lamouri, S., Paris, J. L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247-258.
Gunasekaran, A., & Ngai, E. W. (2009). Modeling and analysis of build-to-order supply chains. European Journal of Operational Research, 195(2), 319-334.
Gunasekaran, A., & Ngai, E. W. (2004). Information systems in supply chain integration and manage-ment. European Journal of Operational Research, 159(2), 269-295.
Gazanfari, M., Reyazi, A., & Kazemi, M. (2000). Supply Chain Management. Monthly Scientific-Educational Tadbir, 117.
Hwang, C-L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer-Verlag, Berlin Heidelberg.
Hosoda, T., Disney, S. M., & Gavirneni, S. (2015). The impact of information sharing, random yield, cor-relation, and lead times in closed loop supply chains. European Journal of Operational Re-search, 246(3), 827-836.
Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626-643.
Li, G., Huang, F., Cheng, T. E., & Ji, P. (2015). Competition between manufacturer's online customization channel and conventional retailer. IEEE Transactions on Engineering Management, 62(2), 150-157.
Lima-Junior, F. R., & Carpinetti, L. C. R. (2016). Combining SCOR® model and fuzzy TOPSIS for sup-plier evaluation and management. International Journal of Production Economics, 174, 128-141.
Mittal, K., Tewari, P., & Khanduja, D. (2018). On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study. Management Science Let-ters, 8(4), 201-216.
Perçin, S. (2008). Use of fuzzy AHP for evaluating the benefits of information-sharing decisions in a supply chain. Journal of Enterprise Information Management, 21(3), 263-284.
Piotrowicz, W., & Cuthbertson, R. (2015). Performance measurement and metrics in supply chains: an exploratory study. International Journal of Productivity and Performance Management, 64(8), 1068-1091.
Qin, F., Mai, F., Fry, M. J., & Raturi, A. S. (2016). Supply-chain performance anomalies: Fairness con-cerns under private cost information. European Journal of Operational Research, 252(1), 170-182.
Rached, M., Bahroun, Z., & Campagne, J. P. (2015). Assessing the value of information sharing and its impact on the performance of the various partners in supply chains. Computers & Industrial Engineer-ing, 88, 237-253.
Raghunathan, S. (2003). Impact of demand correlation on the value of and incentives for information sharing in a supply chain. European Journal of Operational Research, 146(3), 634-649.
Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP).
Sadjadi, S. J., Naeij, J., Shavandi, H., & Makui, A. (2016). Equilibrium pricing and ordering policies in a two-echelon supply chain in the presence of strategic customers. Anais da Academia Brasileira de Ciências, 88(2), 1127-1150.
Samizadeh, R., & Hosaini, R. (2010). Supply Chain Management and Information Technology. Second National Conference on Information Technology, Isfahan, July.
Slone, R. E., Mentzer, J. T., & Dittmann, J. P. (2007). Are you the weakest link in your company's supply chain?. Harvard Business Review, 85(9), 116.
Tsai, W. H., & Chou, W. C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert systems with applications, 36(2), 1444-1458.
Talluri, S., Narasimhan, R., & Nair, A. (2006). Vendor performance with supply risk: A chance-constrained DEA approach. International Journal of Production Economics, 100(2), 212-222.
Vishal, V.J. (2015). The roles of information technology supply chain management. International Jour-nal of Management Research & Review, 5(6), 369-379.
Welker, G. A., van der Vaart, T., & van Donk, D. P. (2008). The influence of business conditions on sup-ply chain information-sharing mechanisms: a study among supply chain links of SMEs. International Journal of Production Economics, 113(2), 706-720.
Zhou, M., Dan, B., Songxuan M., * Zhang, X. (2016). Supply chain coordination with information shar-ing. European Journal of Operational Research, 100(2), 1–18.
Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8, 338-353.