A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management
Abstract
This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.
Keyword : multi-criteria decision-making, supplier selection, grey values, Combined Compromise Solution method, CoCoSo, CoCoSo-G, Best-Worst method
How to Cite
Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858-874. https://doi.org/10.3846/jcem.2019.11309
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Guan, J., Zhang, Z. H., & Wu, Y. (2013). Using fuzzy matter-element model and triangular fuzzy AHP method to select the international construction project material suppliers. Applied Mechanics and Materials, 357-360, 2277-2281. https://doi.org/10.4028/www.scientific.net/AMM.357-360.2277
Guo, S., & Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems, 121, 23-31. https://doi.org/10.1016/j.knosys.2017.01.010
Gupta, H. (2018). Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS. Journal of Environmental Management, 226, 201-216. https://doi.org/10.1016/j.jenvman.2018.08.005
Hafezalkotob, A., Hafezalkotob, A., Liao, H. C., & Herrera, F. (2019). Interval MULTIMOORA method: Integrating interval Borda rule and interval Best-Worst-Method-based weighting model. IEEE Transactions on Cybernetics, 99, 1-13. https://doi.org/10.1109/TCYB.2018.2889730
Hashemkhani Zolfani, S., Zavadskas, E. K., & Turskis, Z. (2013). Design of products with both International and Local perspectives based on Yin-Yang balance theory and SWARA method. Economic Research – Ekonomska Istraživanja, 26(2), 153-166. https://doi.org/10.1080/1331677X.2013.11517613
Hashemkhani Zolfani, S., Chatterjee, P., & Yazdani, M. (2019, May). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International Scientific Conference “Contemporary Issues in Business, Management and Economics Engneering’2019” (pp. 797-804). Vilnius, Lithuania. https://doi.org/10.3846/cibmee.2019.081
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Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164-172. https://doi.org/10.1016/j.jclepro.2011.09.012
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Kaur, J., Sidhu, R., Awasthi, A., Chauhan, S., & Goyal, S. (2018). A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms. International Journal of Production Research, 56(1-2), 312-332. https://doi.org/10.1080/00207543.2017.1395522
Keršulienė, V., & Turskis, Z. (2011). Integrated fuzzy multiple criteria decision making model for architect selection. Technological and Economic Development of Economy, 17(4), 645666. https://doi.org/10.3846/20294913.2011.635718
Keshavarz Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Turskis, Z. (2016). Extended EDAS method for fuzzy multi-criteria decision-making: an application to supplier selection. International Journal of Computers Communications & Control, 11(3), 358-371. https://doi.org/10.15837/ijccc.2016.3.2557
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