Analysis and Control for Heavy Equipment Spare Parts Inventory in the Nickel Mining Industry

Sri Rahayu Pardede, Iwan Vanany

Abstract


In the mining industry, analyzing, and controlling the spare parts inventory is important activities and need special attention from the company. The high production cost of the mining industry, including spare parts and shortages costs affects the financial and operational aspects of the company. Spare parts inventory management policy is critical to increase the service level and minimize spare parts cost. In this mining case study, the out of stock incidents in the heavy equipment spare parts were often occurring and significantly affecting the performance of maintenance and operations. The purpose of this study is to determine minimum stock (safety stock) and maximum stock to reduce overstocks and reduce the number of stocks out in spare parts inventory and as well as inventory cost. The method used to solve the problem is economic order quantity (EOQ) and continuous review control (S, s) to determine the minimum and maximum stocks. Determining the combination of S and s has a major impact on the success of inventory control. Substitution parts are subdivided into alphabetical values to determine their significance. As a result of calculating inventory value using EOQ and S, s will get the highest inventory value to reduce inventory costs.

Keywords


Continuous Review Control; Economic Order Quantity; Heavy Equipment; Inventory; Mining Industry

Full Text:

PDF

References


Endrenyi, J., et al. (IEEE/PES Task Force on Impact of Maintenance Strategy on Reliability). (2000). The present status of maintenance strategies and the impact of maintenance on reliability. IEEE Transactions on Power Systems 16(4): 638– 646.

Dekker, R. (1996). Applications of maintenance optimization models: A review and analysis. Reliability Engineering and System Safety 51: 229–240.

M. Rosienkiewicz, et al., "A hybrid spares demand forecasting method dedicated to mining industry," Applied Mathematical Modelling, vol. 49, pp. 87-107, 2017.

B. Ghodrati, et al., "Spare parts estimation and risk assessment conducted at Choghart Iron Ore Mine," Journal of Quality in Maintenance Engineering, 2007.

I. Kurniawan and I. Vanany, "Analisis Risiko Kerusakan Peralatan Dengan Metode Probabilistik FMEA Pada Industri Minyak dan Gas," Surabaya. Tugas Akhir Jurusan Teknik Industri ITS, 2013.

D. Ariyani and I. Vanany, "Risk Assessment dengan Simulasi Monte Carlo dan mitigasinya Pada Industri Compressed Natural Gas," ed: Institut Teknologi Sepuluh Nopember Surabaya, 2013.

A. E. Wulandari and I. Vanany, "Perancangan Dan Pengukuran Sistem Kinerja Lingkungan Untuk Mendukung Proper Pada Industri Gas," BISMA (Bisnis dan Manajemen), vol. 10, pp. 61-72, 2017

Kumar, S. (2004). Spare Part Management - An IT Automation Perspective.

Sim, S.H. & Endrenyi, J. (1988). Optimal preventive maintenance with repair. IEEE Transactions on Reliability 37(1): 92–96.

Tampubolon, Dr. Manahan P., 2004, Manajemen Operasional (Operation Management), Ghalia Indonesia, Jakarta.

Aini, (2011), Manajemen Persediaan, Edisi 1, Jakarta.

Barry, Render dan Jay Heizer. 2001. Prinsip-prinsip Manajemen Operasi : Operations Management. Jakarta : Salemba Empat.

Dunn S 1998 Maintenance Conf Proc, Queensland, Australia.

Xiao L, Song S, Chen X and Coit D W 2016 Joint optimization of production scheduling and machine group preventive maintenance Reliab. Eng. Syst. Saf. 146 68–78

Kharisma, G., Pengklasifikasian Dan Peramalan Spare Part Di Industri Pupuk (Studi Kasus: PT. Petrokimia Gresik). 2013, Institut Teknologi Sepuluh Nopember.

Nugroho, H.W. and I. Vanany. Pengklasifikasian Spare Part dan Model Pemilihan Vendornya pada MeteringStation di PT Chevron Pacific Indonesia. in Prosiding Seminar Nasional Manajemen dan Teknologi. 2013.

Farah, Hilma (2019), “Pengendalian Persediaan Spare Part Mesin pada Industri Velg Kendaraan”, Jurnal Teknik Industri ITS.




DOI: http://dx.doi.org/10.12962/j23546026.y2020i6.11146

Refbacks

  • There are currently no refbacks.


View my Stat: Click Here

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.