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All Journal Jurnal Locus Penelitian dan Pengabdian
Tunggadewa, Ken Caesar Balawan
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Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics

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Forecasting Consumable Part for Aircraft Maintenance using Time Series Method Tunggadewa, Ken Caesar Balawan; Widodo, Erwin
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 6 (2025): JURNAL LOCUS: Penelitian & Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i6.4076

Abstract

This study discusses the inventory of consumable parts at an aircraft maintenance company in Bandung. The problem that occurs is that companies often face stock shortages. Another issue is that the warehouse has excess stock of materials that have an expiration date, which is financially detrimental to the company. To overcome this, the study categorizes materials using the ABC and ADI CV2 analysis methods. After obtaining the demand patterns including smooth demand, intermittent demand, erratic demand, and lumpy demand forecasting is carried out according to the demand pattern using Exponential Smoothing, Croston, Syntetos Boylan Approximation, and Teunter Syntetos Babai. The data used is PT XYZ consumable part data from January 2022 to December 2023. After analysis and testing the level of forecast accuracy using MAD, MSE, and MAPE, the results showed that the Croston, SBA, and TSB forecasting methods each offer their own advantages based on the specific characteristics of the demand pattern applied.
Co-Authors Erwin Widodo