How to cite this paper
Bani, E & Jafari, D. (2016). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint.Decision Science Letters , 5(2), 211-218.
Refrences
Basak, A., Pal, S., Das, S., Abraham, A., & Snasel, V. (2010, July). A modified invasive weed optimization algorithm for time-modulated linear antenna array synthesis. In Evolutionary Computation (CEC), 2010 IEEE Congress on (pp. 1-8). IEEE.
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: proceedings of the parallel problem solving from nature VI (PPSN-VI) conference, 849-858.
Ghodsypour, S. H., & O & apos; Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International journal of production economics, 56, 199-212.
Ghodsypour, S. H., & O’brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15-27.
Golmohammadi, D., Creese, R. C., & Valian, H. (2009). Neural network application for supplier selection. International Journal of Product Development, 8(3), 252-275.
Mehrabian, A. R., & Lucas, C. (2006). A novel numerical optimization algorithm inspired from weed colonization. Ecological informatics, 1(4), 355-366.
Narasimhan, R., Talluri, S., & Mahapatra, S. K. (2006). Multiproduct, multicriteria model for supplier selection with product life?cycle considerations. Decision Sciences, 37(4), 577-603.
Nikokalam-Mozafar, S. H., Ashjari, B., Tavakkoli-Moghaddam, R., & Omidvar, A. (2014). Solving a multi-objective chance-constrained hub covering location problem by discrete invasive weed optimization. Cogent Engineering, 1(1), 991526.
Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: logistics catches up with strategy. Outlook, 5(1), 42-47.
Ozkok, B. A., & Tiryaki, F. (2011). A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item. Expert Systems with Applications, 38(9), 11363-11368.
Ng, W. L. (2008). An efficient and simple model for multiple criteria supplier selection problem. European Journal of Operational Research, 186(3), 1059-1067.
Parhizkari, M., Amiri, M., & Mousakhani, M. (2013). A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem. Decision Science Letters, 2(3), 185-190.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Sedehzadeh, S., Tavakkoli-Moghaddam, R., Mohammadi, M., & Jolai, F. (2014). Solving a new priority M/M/C Queue model for a multi-mode hub covering location problem by multi-objective parallel simulated annealing. Economic Computation and Economic Cybernetics studies and Research, 48(4), 299-318.
Senvar, O., Tuzkaya, G., & Kahraman, C. (2014). Multi criteria supplier selection using fuzzy PROMETHEE method. In Supply Chain Management Under Fuzziness (pp. 21-34). Springer Berlin Heidelberg.
Shahroudi, K., & Rouydel, H. (2012). Using a multi-criteria decision making approach (ANP-TOPSIS) to evaluate suppliers in Iran’s auto industry.International Journal of Applied Operational Research, 2(2), 37-48.
Talluri, S., & Narasimhan, R. (2003). Vendor evaluation with performance variability: a max–min approach. European Journal of Operational Research,146(3), 543-552.
Ting, S. C., & Cho, D. I. (2008). An integrated approach for supplier selection and purchasing decisions. Supply Chain Management: An International Journal, 13(2), 116-127.
Vander Wiele, A., Williams, A. R. T., Brown, A., & Dale, B. G. (2001). The ISO 9000 series as a tool for organisational change: is there a case?.Business Process Management Journal, 7(4), 323-331.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: proceedings of the parallel problem solving from nature VI (PPSN-VI) conference, 849-858.
Ghodsypour, S. H., & O & apos; Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International journal of production economics, 56, 199-212.
Ghodsypour, S. H., & O’brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73(1), 15-27.
Golmohammadi, D., Creese, R. C., & Valian, H. (2009). Neural network application for supplier selection. International Journal of Product Development, 8(3), 252-275.
Mehrabian, A. R., & Lucas, C. (2006). A novel numerical optimization algorithm inspired from weed colonization. Ecological informatics, 1(4), 355-366.
Narasimhan, R., Talluri, S., & Mahapatra, S. K. (2006). Multiproduct, multicriteria model for supplier selection with product life?cycle considerations. Decision Sciences, 37(4), 577-603.
Nikokalam-Mozafar, S. H., Ashjari, B., Tavakkoli-Moghaddam, R., & Omidvar, A. (2014). Solving a multi-objective chance-constrained hub covering location problem by discrete invasive weed optimization. Cogent Engineering, 1(1), 991526.
Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: logistics catches up with strategy. Outlook, 5(1), 42-47.
Ozkok, B. A., & Tiryaki, F. (2011). A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item. Expert Systems with Applications, 38(9), 11363-11368.
Ng, W. L. (2008). An efficient and simple model for multiple criteria supplier selection problem. European Journal of Operational Research, 186(3), 1059-1067.
Parhizkari, M., Amiri, M., & Mousakhani, M. (2013). A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem. Decision Science Letters, 2(3), 185-190.
Saaty, T. L. (1988). What is the analytic hierarchy process? (pp. 109-121). Springer Berlin Heidelberg.
Sedehzadeh, S., Tavakkoli-Moghaddam, R., Mohammadi, M., & Jolai, F. (2014). Solving a new priority M/M/C Queue model for a multi-mode hub covering location problem by multi-objective parallel simulated annealing. Economic Computation and Economic Cybernetics studies and Research, 48(4), 299-318.
Senvar, O., Tuzkaya, G., & Kahraman, C. (2014). Multi criteria supplier selection using fuzzy PROMETHEE method. In Supply Chain Management Under Fuzziness (pp. 21-34). Springer Berlin Heidelberg.
Shahroudi, K., & Rouydel, H. (2012). Using a multi-criteria decision making approach (ANP-TOPSIS) to evaluate suppliers in Iran’s auto industry.International Journal of Applied Operational Research, 2(2), 37-48.
Talluri, S., & Narasimhan, R. (2003). Vendor evaluation with performance variability: a max–min approach. European Journal of Operational Research,146(3), 543-552.
Ting, S. C., & Cho, D. I. (2008). An integrated approach for supplier selection and purchasing decisions. Supply Chain Management: An International Journal, 13(2), 116-127.
Vander Wiele, A., Williams, A. R. T., Brown, A., & Dale, B. G. (2001). The ISO 9000 series as a tool for organisational change: is there a case?.Business Process Management Journal, 7(4), 323-331.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.