AIRCRAFT SPARE PARTS INVENTORY MANAGEMENT ANALYSIS ON AIRFRAME PRODUCT USING CONTINUOUS REVIEW METHODS

Main Article Content

Faikar Ridwan Harimansyah
Tukhas Shilul Imaroh

Abstract

The research  aims to find the factors that cause high inventory value, increase the value of forecasting precision, service level and cost efficiency with fishbone diagrams and proposed methods. The research sample is 9 spare parts included in classification A in the ABC analysis and maintenance list 2018. Forecasting methods use Moving Average, Single Exponential Smoothing and Syntetos-Boylan Approximation as well as Mean Square Error calculation, deterministic inventory calculation and Continuous Review Method. The results of this study are an increase in logistics costs by $ 808.71 in the inventory management proposal. An increase in service level from 95% to 99% and the error value in the calculation of the proposal becomes smaller using the proposed method. This study also found that the factor causing the high inventory value was due to inaccurate planning methods so that other comparative methods were needed that could increase the precision of demand forecasting.

Article Details

How to Cite
Ridwan Harimansyah, F., & Tukhas Shilul Imaroh. (2020). AIRCRAFT SPARE PARTS INVENTORY MANAGEMENT ANALYSIS ON AIRFRAME PRODUCT USING CONTINUOUS REVIEW METHODS. Dinasti International Journal of Management Science, 2(1), 81-90. https://doi.org/10.31933/dijms.v2i1.528
Section
Articles

References

Adam, G. & Imaroh, T. S. (2019). Comparison of Effectiveness Inventory Control of EOQ Method with Company Method in Steel Material Fabrication Krakatau POSCO. Dinasti International Journal of Education and Social Science, 1(2).
Alhafsi, R. I. (2018). Analisis Persediaan Suku Cadang Pada Perawatan Pesawat Udara Di PT. Putra Elang Angkasaraya dengan Model Periodic Review. Tesis. Program Studi Magister Manajemen, Program Pascasarjana, Universitas Mercu Buana. Jakarta.
Babai, M. Z., Dallery, Y., Boubaker, S., & Kalai, R. (2019). A new method to forecast intermittent demand in the presence of inventory obsolescence. International Journal of Production Economics, 209, 30-41.
Ginting, R. (2007). Sistem Produksi, Graha Ilmu. Medan.
Heizer, J. & Render, B.(2014). Manajemen Operasi. Salemba Empat. Jakarta.
Nnamdi, O. (2018). Strategies for Managing Excess and Dead Inventories : A Case Study of Spare Parts Inventories in the Elevator Equipment Industry. Operations and Supply Chain Management, 11(3):128 – 139.
Tampubolon, M. P. (2014). Manajemen Operasi dan Rantai Pemasok (Operation and Supply Chain Management) Edisi 1. Mitra Wacana Media. Jakarta.
Herjanto, E. (2010), Manajemen Operasi, ed: Revisi. Gramedia. Jakarta.
Pulungan, D. S. & Fatma, E. (2018). Analisis Pengendalian Persediaan Menggunakan Metode Probabilistik dengan Kebijakan Backorder dan Lost Sales. Jurnal Teknik Industri, 19(1):38-48.
Syntetos, A., & Boylan, J. (2005). The Accuracy of Intermittent Demand Estimates. International Journal of Forecasting, 21, 303–314.