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Integrated ABC–AHP–TOPSIS Model for Used Distribution Material Management at PLN UP3 Mamuju Thomi; Niniet Indah Arvitrida
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p318-332

Abstract

The management of used distribution materials at PT PLN UP3 Mamuju faces challenges related to idle inventory, dead stock, subjective decision-making, and the absence of a systematic prioritization framework. These issues reduce material utilization and limit the recovery of asset value. This study develops an integrated multi-criteria decision-making model by combining ABC Classification, the Analytical Hierarchy Process (AHP), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to support objective and structured management of used distribution materials. The novelty of this study lies in the integration of inventory classification, multi-criteria weighting, and alternative ranking within a single decision-support framework for distribution material management, complemented by an economic feasibility evaluation. ABC Classification was used to identify economically significant materials, AHP to determine the relative importance of decision criteria, and TOPSIS to prioritize management alternatives, including reuse, redistribution, scrap, and disposal. The results indicate that safety is the most influential decision criterion, while conductors and distribution cables represent the highest-priority materials for reuse. The proposed model improves decision consistency, increases material utilization, reduces inventory losses, and generates significant economic benefits with a highly feasible investment. Overall, the integrated ABC–AHP–TOPSIS framework provides a practical decision-support tool for improving operational efficiency, optimizing asset value recovery, and supporting sustainable distribution material management in electric utility companies.
Component Reliability and Fleet Utilization for Spare Parts Management at Sidotopo Locomotive Depot Abdul Rochim; Niniet Indah Arvitrida; Suparno
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 2 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i2.p333-347

Abstract

Locomotive reliability and spare parts availability are essential for maintaining railway operational performance and service continuity. However, previous studies have generally focused on component reliability or inventory management separately, with limited attention to integrating component reliability, fleet utilization, and spare parts demand characteristics into a unified framework for spare parts management. This study aims to address this gap by developing a reliability-based approach for identifying critical spare parts at Sidotopo Locomotive Depot, Operational Region 8 Surabaya, PT Kereta Api Indonesia (Persero). Historical maintenance and operational data were analyzed using Pareto analysis, material reconciliation, expert judgment, reliability analysis, fleet utilization assessment, and demand pattern classification. The analysis identified four critical components: AEP5, Victaulic 3.5", Flexible Hose, and Deadman. Weibull, Lognormal, and Exponential distributions were evaluated, and all components were found to follow the Weibull distribution, indicating wear-out failure behavior. At 1,008 operating hours, AEP5 exhibited the highest reliability, whereas Flexible Hose showed the lowest. Demand analysis classified AEP5 and Flexible Hose as intermittent demand, while Victaulic 3.5" and Deadman were categorized as lumpy demand. Fleet utilization analysis further revealed differences in component operating performance, providing additional insight into replacement priorities. The findings demonstrate that integrating reliability, fleet utilization, and demand characteristics provides a comprehensive basis for identifying critical spare parts, supporting maintenance planning, and improving inventory management in railway operations.