Fuzzy-AHP MOORA approach for vendor selection applications
DOI:
https://doi.org/10.26594/register.v8i1.2356Keywords:
Decision Support System, Fuzzy AHP, MCDM, MOORA, vendor selectionAbstract
Vendor selection is a critical activity in order to support the achievement of company success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, an evaluation is needed to see which vendors match the company's criteria. The purpose of this study is to evaluate and select the proposed vendor in a web-based decision support system (DSS) by using the fuzzy-AHP MOORA approach. The fuzzy-AHP method is used to determine the importance level of the criteria, while the MOORA method is used for alternative ranking. The results showed that vendor 4 has the highest score than other alternatives with a value of 0.2536. Sensitivity analysis showed that the proposed DSS fuzzy-AHP MOORA concept was already solid and suitable for this problem, with a low rate of change.References
[1] A. Arabsheybani, M. M. Paydar and A. S. Safaei, "An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk," Journal of Cleaner Production, vol. 190, pp. 577-591, 2018.
[2] F. Çebi and İ. Otay, "A two-stage fuzzy approach for supplier evaluation and order allocation problem with quantity discounts and lead time," Information Sciences, vol. 339, pp. 143-157, 2016.
[3] M. Dotoli, N. Epicoco and M. Falagario, "Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study," Applied Soft Computing, vol. 88, 2020.
[4] M. R. Asadabadi, "The stratified multi-criteria decision-making method," Knowledge-Based Systems, vol. 162, pp. 115-123, 2018.
[5] S. Dožić, "Multi-criteria decision making methods: Application in the aviation industry," Journal of Air Transport Management, vol. 79, 2019.
[6] G. Haseli, R. Sheikh and S. S. Sana, "Base-criterion on multi-criteria decision-making method and its applications," International Journal of Management Science and Engineering Management, vol. 15, no. 2, pp. 79-88, 2020.
[7] I. Ali, V. Gunawan and K. Adi, "Land-use suitability evaluation for organic rice cultivation using fuzzy-AHP ELECTRE method," Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 7, no. 1, pp. 1-15, 2021.
[8] R. K. Singh, S. Kansara and N. K. Vishwakarma, "Vendor rating system for an Indian start-up: a combined AHP & TOPSIS approach," Measuring Business Excellence, vol. 22, no. 3, pp. 220-241, 2018.
[9] A. Cheraghalipour, M. M. Paydar and M. Hajiaghaei-Keshteli, "Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry," International Journal of Applied Decision Sciences, vol. 11, no. 3, pp. 274-301, 2018.
[10] A. Ghosh, N. Ghorui, S. P. Mondal, S. Kumari, B. K. Mondal, A. Das and M. S. Gupta, "Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station," Mathematics, vol. 9, 2021.
[11] N. Ghorui, A. Ghosh, E. A. Algehyne, S. P. Mondal and A. K. Saha, "AHP-TOPSIS Inspired Shopping Mall Site Selection Problem with Fuzzy Data," Mathematics, vol. 8, 2020.
[12] S. Guo and H. Zhao, "Fuzzy best-worst multi-criteria decision-making method and its applications," Knowledge-Based Systems, vol. 121, pp. 23-31, 2017.
[13] W. K. M. Brauers and E. K. Zavadskas, "A Multi-Objective Decision Support System for Project Selection With an Application for the Tunisian Textile Industry," Ekonomika a management, pp. 28-43, 2012.
[14] N. Ghorui, A. Ghosh, S. P. Mondal, M. Y. Bajuri, A. Ahmadian, S. Salahshour and M. Ferrara, "Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology," Results in Physics, vol. 21, 2021.
[15] M. A. Akbar, M. Shameem, S. Mahmood, A. Alsanad and A. Gumaei, "Prioritization based Taxonomy of Cloud-based Outsource Software Development Challenges: Fuzzy AHP analysis," Applied Soft Computing, vol. 95, 2020.
[16] S. O. Ogundoyin and I. A. Kamil, "A Fuzzy-AHP based prioritization of trust criteria in fog computing services," Applied Soft Computing, vol. 97, 2020.
[17] Gou-chenxi, "Application of FAHP in the evaluation of electromechanical system components," in 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2019.
[18] D.-Y. Chang, "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, vol. 95, no. 3, pp. 649-655, 1996.
[19] W. K. M. Brauers, E. K. Zavadskas, Z. Turskis and T. Vilutienė, "Multi-Objective Contractor’s Ranking by Applying the Moora Method," Journal of Business Economics and Management, vol. 9, no. 4, p. 245–255, 2008.
[20] Z. Li, L. Sun, L. He, X. Tang, X. Zou and M. Chen, "Distribution Network Supplier Selection with Fuzzy AHP and TOPSIS," in 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2019.
[21] A. Awasthi, K. Govindan and S. Gold, "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, vol. 195, pp. 106-117, 2018.
[22] R. P. Setyono and R. Sarno, "Comparative Method of Moora and Copras Based on Weighting of the Best Worst Method in Supplier Selection at ABC Mining Companies in Indonesia," in 2019 International Conference on Information and Communications Technology (ICOIACT), 2019.
[23] P. K. Patnaik, P. T. R. Swain, S. K. Mishra, A. Purohit and S. Biswas, "Composite material selection for structural applications based on AHP-MOORA approach," Materials Today: Proceedings, vol. 33, pp. 5659-5663, 2020.
[24] H. Taherdoost and A. Brard, "Analyzing the Process of Supplier Selection Criteria and Methods," Procedia Manufacturing, vol. 32, pp. 1024-1034, 2019.
[25] F. Dweiri, S. Kumar, S. A. Khan and V. Jain, "Designing an integrated AHP based decision support system for supplier selection in automotive industry," Expert Systems with Applications, vol. 62, pp. 273-283, 2016.
[26] A. H. Niknamfar and S. T. A. Niaki, "A binary-continuous invasive weed optimization algorithm for a vendor selection problem," Knowledge-Based Systems, vol. 140, pp. 158-172, 2018.
[27] A. H. Niknamfar and S. T. A. Niaki, "Soft time-windows for a bi-objective vendor selection problem under a multi-sourcing strategy: Binary-continuous differential evolution," Computers & Operations Research, vol. 76, pp. 43-59, 2016.
[28] A. P. Sahida, B. Surarso and R. Gernowo, "The combination of the MOORA method and the Copeland Score method as a Group Decision Support System (GDSS) Vendor Selection," in 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2019.
[29] Y. A. Solangi, Q. Tan, N. H. Mirjat and S. Ali, "Evaluating the strategies for sustainable energy planning in Pakistan: An integrated SWOT-AHP and Fuzzy-TOPSIS approach," Journal of Cleaner Production, vol. 236, 2019.
[30] M. Rajak and K. Shaw, "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, vol. 59, 2019.
[31] T. Saaty, The Analytic Hierarchy Process, New York: McGraw Hill, 1980.
[32] S. Komsiyah, R. Wongso and S. W. Pratiwi, "Applications of the Fuzzy ELECTRE Method for Decision Support Systems of Cement Vendor Selection," Procedia Computer Science, vol. 157, pp. 479-488, 2019.
[33] T. L. Saaty and L. G. Vargas, "The Seven Pillars of the Analytic Hierarchy Process," in International Series in Operations Research & Management Science, Boston, MA, 2012.
[34] W. K. M. Brauers and E. K. Zavadskas, "The MOORA method and its application to privatization in a transition economy," Control and Cybernetics, vol. 35, no. 2, pp. 445-469, 2006.
Downloads
Published
How to Cite
Issue
Section
License
Please find the rights and licenses in Register: Jurnal Ilmiah Teknologi Sistem Informasi. By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
2. Author(s)' Warranties
The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
3. User/Public Rights
Register's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, Register permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and Register on distributing works in the journal and other media of publications. Unless otherwise stated, the authors are public entities as soon as their articles got published.
4. Rights of Authors
Authors retain all their rights to the published works, such as (but not limited to) the following rights;
Copyright and other proprietary rights relating to the article, such as patent rights,
The right to use the substance of the article in own future works, including lectures and books,
The right to reproduce the article for own purposes,
The right to self-archive the article (please read out deposit policy),
The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (Register: Jurnal Ilmiah Teknologi Sistem Informasi).
5. Co-Authorship
If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. Register will not be held liable for anything that may arise due to the author(s) internal dispute. Register will only communicate with the corresponding author.
6. Royalties
Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that Register entitles the author(s) to no royalties or other fees.
7. Miscellaneous
Register will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. Register's editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.