ANALYSIS FUZZY AHP FOR OPTIMIZATION CONTRACTOR SELECTION USING MULTI-CRITERIA IN DETERMINING THE BEST ALTERNATIVE CONTRACTOR
DOI:
https://doi.org/10.31933/dijms.v2i6.959Keywords:
Contractor Selection, Multicriteria Decision Making, Fuzzy-AHP, Project Procurement, Project ManagementAbstract
Using inappropriate criteria in contractor’s selection can lead to the failure of a construction project. This study aims to provide an optimal solution for contractor selection using multi-criteria. The criteria were obtained from previous research and concluded in the Focus Group Discussion. The analytical method used is Fuzzy-AHP, involving 14 experts who are registered contractors in the Company who have good performance and the contractor selection process involves a Tender Committee consisting of 5 appointed employees. The conclusion of this study shows that the criteria and weights that can be used for contractor selection are 35% bid, 22% technical ability, 13% financial ability, 11% reputation, 10% management ability and the last safety management with a weight of 9%. Each criterion has sub-criteria indicators with a total of 41 sub-criteria. Result of the consistency ratio below 10%. The conclusion contractor selection analysis using multi-criteria can screen the best contractor.
References
Alptekin, O., & Alptekin, N. (2017, June). Analysis of criteria influencing contractor selection using TOPSIS method. In IOP Conf. Ser. Mater. Sci. Eng (Vol. 245, p. 062003).
Araújo, M. C. B., Alencar, L. H., & Mota, C. M. (2015, December). Contractor selection in construction industry: A multicriteria model. In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 519-523). IEEE.
Aulady, M. F., Nuciferani, F. T., & Pratama, Y. (2016). pemilihan subkontraktor pada proyek pengembangan rumah sakit dr. soetomo dengan menggunakan metode analytical hierarchy process (ahp). In Seminar Nasional Sains and Teknologi Terapan IV.
Calabrese, A., Costa, R., Levialdi, N., & Menichini, T. (2016). A fuzzy analytic hierarchy process method to support materiality assessment in sustainability reporting. Journal of Cleaner Production, 121, 248-264.
Guide, A. (2013). Project management body of knowledge (PMBOK guide) 5th Edition. In Project Management Institute
Karakhan, A. A., Rajendran, S., Gambatese, J., & Nnaji, C. (2018). Measuring and evaluating safety maturity of construction contractors: Multicriteria decision-making approach. Journal of Construction Engineering and Management, 144(7), 04018054.
Kerzner, H. (2014). Project management best practices: Achieving global excellence, 3rd Edition. John Wiley & Sons.
Kog, F., & Yaman, H. (2016). A multi-agent systems-based contractor pre-qualification model. Engineering, Construction and Architectural Management.
Meredith, J., & Mantel, S. J. (2009). Project Management: A Managerial Approach,7th Edition. John Wiley & Sons.
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146-156.
Naji, H. I. (2015). build a multi-criteria evaluation model for the selection of a contractor in construction projects. diyala journal of engineering sciences, 8(4), 121-133.
Nicholas, J. M., & Steyn, H. (2020). Project management for business, engineering, and technology: Principles and practice, Sixth edition. Routledge, an imprint of the Taylor & Francis Group
Prasetia, F. T., & Imaroh, T. S. (2020). contractor selection assessment strategy in the upstream oil and gas industry towards green supply chain management. Dinasti International Journal of Economics, Finance & Accounting, 1(3), 373-383.
Saaty, T. L., & Vargas, L. G. (2001). Models, methods, concepts & applications of the analytic hierarchy process. Boston, Mass: Kluwer academic.
Sandika, P., & Patradhiani, R. (2019). Analisis Pemilihan Kontraktor Menggunakan Metode Analytical Hierarchy Process (AHP)(Studi Kasus Pembangunan Jembatan di Desa Karangan). Integrasi: Jurnal Ilmiah Teknik Industri, 4(1), 1-8.
Stoner, J. A. (1968). Risky and cautious shifts in group decisions: The influence of widely held values. Journal of Experimental Social Psychology, 4(4), 442-459.
Taylan, O., Kabli, M. R., Porcel, C., & Herrera-Viedma, E. (2018). Contractor selection for construction projects using consensus tools and big data. International Journal of Fuzzy Systems, 20(4), 1267-1281.
Zadeh, L. A. (1996). Fuzzy sets. In Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh (pp. 394-432).
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