ABSTRACT
United Tractors is committed to providing total solutions for products and services that customers need to provide the best satisfaction for customers in using products and services. In order for products and service quality to always meet customer specifications and expectations, we provide excellent service through the after-sales service quality assurance program, namely UT Guaranteed Product Support (UT GPS) [1]. In order to maximize On-Time in full Machine maintenance period, improving mechanical competence is one of the main things that must be done. To determine the right material of training, we need to make the right decisions using the Multi-Criteria Decision Making (MCDM) method by the Analytical Hierarchy Process (AHP) application. In this research, decision making is based on business criteria with parameters of population, the number of job orders and the number of parts orders and combined with job frequency criteria by job classification criteria with Preventive Maintenance (PM) parameters, Machine Trouble Shooting (MTS) and Component Overhaul (OVH). In this paper data matrix is inputted to the application super decision for getting the result. Rank of training based on business criteria is a result for get the decision making for start training based on priority number at PT United Tractor Tbk.
- [1] PT United Tractors, “PT United Tractors Tbk Annual Report 2021,” Jakarta, 2021. Accessed: Jul. 13, 2022. [Online]. Available: www.unitedtractors.comGoogle Scholar
- [2] X. Cui , “Two-dimensional evaluation model of electrical equipment based on combined weighting and rating algorithm,” Energy Reports, vol. 7, pp. 443–448, Apr. 2021, doi: 10.1016/j.egyr.2021.01.048.Google ScholarCross Ref
- [3] A. Afandi, “PENERAPAN AHP (ANALYTICAL HIERARCHY PROCESS) TERHADAP PEMILIHAN SUPPLIER DI UD. NAGAWANGI ALAM SEJAHTERA MALANG.”Google Scholar
- [4] C. Liu, S. Yang, Y. Cui, and Y. Yang, “An improved risk assessment method based on a comprehensive weighting algorithm in railway signaling safety analysis,” Safety Science, vol. 128, Aug. 2020, doi: 10.1016/j.ssci.2020.104768.Google Scholar
- [5] P. Liu, B. Zhu, and P. Wang, “A weighting model based on best–worst method and its application for environmental performance evaluation,” Applied Soft Computing, vol. 103, May 2021, doi: 10.1016/j.asoc.2021.107168.Google ScholarDigital Library
- [6] V. L. Sivakumar, R. Radha Krishnappa, and M. Nallanathel, “Drought vulnerability assessment and mapping using Multi-Criteria decision making (MCDM) and application of Analytic Hierarchy process (AHP) for Namakkal District, Tamilnadu, India,” in Materials Today: Proceedings, 2020, vol. 43, pp. 1592–1599. doi: 10.1016/j.matpr.2020.09.657.Google ScholarCross Ref
- [7] A. Nikkhah, S. Firouzi, M. el Haj Assad, and S. Ghnimi, “Application of analytic hierarchy process to develop a weighting scheme for life cycle assessment of agricultural production,” Science of the Total Environment, vol. 665, pp. 538–545, May 2019, doi: 10.1016/j.scitotenv.2019.02.170.Google ScholarCross Ref
- [8] N. Filianie Aziz, S. Sorooshian, and F. Mahmud, “MCDM-AHP METHOD IN DECISION MAKINGS,” vol. 11, no. 11, 2016, [Online]. Available: www.arpnjournals.comGoogle Scholar
- [9] F. Fernández-Tirado, C. Parra-López, and M. Romero-Gámez, “A multi-criteria sustainability assessment for biodiesel alternatives in Spain: Life cycle assessment normalization and weighting,” Renewable Energy, vol. 164, pp. 1195–1203, Feb. 2021, doi: 10.1016/j.renene.2020.10.145.Google ScholarCross Ref
- [10] N. Ranti Muntiari, dan Abdul Fadlil, A. Dahlan, and J. Soepomo, “Penentuan Kriteria Penginapan Menggunakan Metode Analytic Hierarchy Process.”Google Scholar
- [11] C. Z. Raulescu, M. Radulescu, A. Alexandru, M. Ianculescu, and V. Vevera, “A multi-criteria weighting approach for Quality of Life evaluation,” in Procedia Computer Science, 2019, vol. 162, pp. 532–538. doi: 10.1016/j.procs.2019.12.020.Google ScholarDigital Library
- [12] S. N. Kamaruzzaman, E. C. W. Lou, P. F. Wong, R. Wood, and A. I. Che-Ani, “Developing weighting system for refurbishment building assessment scheme in Malaysia through analytic hierarchy process (AHP) approach,” Energy Policy, vol. 112, pp. 280–290, Jan. 2018, doi: 10.1016/j.enpol.2017.10.023.Google ScholarCross Ref
Index Terms
- Training Material Decision Making for Mechanics Using Analytic Hierarchy Process (AHP): A Case Study of PT United Tractors Tbk.
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