Effective Approach for Solving the Supplier Selection Problem Under Multiple Criteria
الموضوعات :
Abdollah Hadi-Vencheh
1
(Department of Mathematics,
Islamic Azad University, Khorasgan Branch, Isfahan, Iran)
الکلمات المفتاحية: Supply Chain, Multiple criteria analysis, Supplier selection, DEA,
ملخص المقالة :
Supplier selection plays an essential role in organizations due to the cost of raw material constitutes the main cost of the final product. Thus, we develop a new approach to solve the multiple criteria supplier selection problem. The proposed method considers the effects of weights in the final solution. An illustrative example is presented to show the capabilities of our approach.
[1] Davoudabadi, R., Mousavi, S. M., Sharifi, E. (2020). An integrated weighting and ranking model based
on entropy, DEA and PCA considering two aggregation approaches for resilient supplier selection problem.
Journal of Computational Science, 40, 101074. doi:https://doi.org/10.1016/j.jocs.2019.101074
[2] Dobos, I., Vörösmarty, G. (2019). Inventory-related costs in green supplier selection problems with
Data Envelopment Analysis (DEA). International Journal of Production Economics, 209, 374-380.
doi:https://doi.org/10.1016/j.ijpe.2018.03.022
[3] Hadi-Vencheh, A. (2011). A new nonlinear model for multiple criteria supplier-selection problem. International Journal of Computer Integrated Manufacturing, 24(1), 32-39. doi:10.1080/0951192X.2010.527372
[4] Hadi-Vencheh, A., Niazi-Motlagh, M. (2011). An improved voting analytic hierarchy process–data envelopment analysis methodology for suppliers selection. International Journal of Computer Integrated Manufacturing, 24(3), 189-197. doi:10.1080/0951192X.2011.552528
[5] Hosseini, Z. S., Flapper, S. D., Pirayesh, M. (2022). Sustainable supplier selection and order allocation under
demand, supplier availability and supplier grading uncertainties. Computers Industrial Engineering, 165,
107811. doi:https://doi.org/10.1016/j.cie.2021.107811
[6] Izadikhah, M., Azadi, M., Toloo, M., Hussain, F. K. (2021). Sustainably resilient supply chains evaluation
in public transport: A fuzzy chance-constrained two-stage DEA approach. Applied Soft Computing, 113,
107879. doi:https://doi.org/10.1016/j.asoc.2021.107879
[7] Izadikhah, M., Farzipoor Saen, R. (2016). Evaluating sustainability of supply chains by two-stage range
directional measure in the presence of negative data. Transportation Research Part D: Transport and Environment, 49, 110-126. doi:https://doi.org/10.1016/j.trd.2016.09.003
[8] Izadikhah, M., Farzipoor Saen, R. Developing a linear stochastic two-stage data envelopment analysis model
for evaluating sustainability of supply chains: a case study in welding industry. Ann Oper Res (2021).
https://doi.org/10.1007/s10479-021-04160-7
[9] Izadikhah, M., Farzipoor Saen, R. Solving voting system by data envelopment analysis for assessing sustainability of suppliers. Group Decis Negot 28, 641–669 (2019). https://doi.org/10.1007/s10726-019-09616-7
[10] Karsak, E. E., Dursun, M. (2014). An integrated supplier selection methodology incorporating QFD and DEA with imprecise data. Expert Systems with Applications, 41(16), 6995-7004.
doi:https://doi.org/10.1016/j.eswa.2014.06.020
[11] Kaur, H., Prakash Singh, S. (2021). Multi-stage hybrid model for supplier selection and order allocation
considering disruption risks and disruptive technologies. International Journal of Production Economics,
231, 107830. doi:https://doi.org/10.1016/j.ijpe.2020.107830
[12] L.J. Krajewski and L.P. Ritzman, Operations management strategy and analysis, Addison-Wesley Publishing
Co., London (1996).
[13] W.L. Ng, An efficient and simple model for multiple criteria supplier selection problem, Eur. J. Oper. Res.
186 (2008) pp. 1059-1067
[14] Saputro, T. E., Figueira, G., Almada-Lobo, B. (2022). A comprehensive framework and literature review of
supplier selection under different purchasing strategies. Computers Industrial Engineering, 167, 108010.
doi:https://doi.org/10.1016/j.cie.2022.108010
[15] Sivanagaraju Pitchaiah, D., Hussaian, M., Govardhan, D. (2021). A review on multi attribute decision
making for evaluation and selection of supplier for materials. Materials Today: Proceedings, 39, 296-300.
doi:https://doi.org/10.1016/j.matpr.2020.07.201
| [16] Tavassoli, M., Saen, R. F., | Zanjirani, D. M. (2020). Assessing sustainability of suppliers: |
| A novel stochastic-fuzzy DEA model. Sustainable Production and Consumption, 21, 78-91. doi:https://doi.org/10.1016/j.spc.2019.11.001 |
|
| [17] Toloo, M., | Nalchigar, S. (2011). A new DEA method for supplier selection in presence |
of both cardinal and ordinal data. Expert Systems with Applications, 38(12), 14726-14731.
doi:https://doi.org/10.1016/j.eswa.2011.05.008
[18] RC.A. Weber, J.R. Current and W.C. Benton, Vendor selection criteria and method, Eur. J. Oper. Res. 50
(1991), pp. 2-18
[19] H.T. Willis, R.C. Huston and F. Pohlkamp, Evaluation measures of just in time supplier performance, Prod.
Invent. Manage. J. 34 (2) (1993), pp. 1-5.
[20] Yazdani, M., Ebadi Torkayesh, A., Stević, Ž., Chatterjee, P., Asgharieh Ahari, S., Doval Hernandez, V. (2021).
An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Systems with Applications, 183, 115354. doi:https://doi.org/10.1016/j.eswa.2021.115354
