A spare parts inventory optimization study in mining

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2022-1-01
Şenses, Sena
Gölbaşı, Onur
Bakal, İsmail Serdar
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Spare parts inventory management is of vital importance in maintaining high equipment availability at minimum cost, especially for industries utilizing fully mechanized systems and aiming mass and continuous production such as mining. In this paper, it is intended to solve the spare parts inventory problem of a large-scale mining company operating in Turkey, by proposing a mathematical model to optimize the spare parts provisioning strategy in such a way that the total inventory related cost is minimized. Based on the current system analyzed and the real data provided by the company, a case study is conducted on inventory management problem of industrial lubricants, having a great importance in fully-mechanized systems to provide mass and continuous production. The optimization results show that the company's current lubricating oil inventory policy can be improved financially by yielding an annual saving up to (sic)18,566.
Spare parts inventory policy, Mixed-Integer optimization programming, Mining systems, CONDITION-BASED MAINTENANCE, JOINT OPTIMIZATION, PREVENTIVE MAINTENANCE, SUPPLY CHAIN, LEAD-TIME, PROVISIONING POLICY, BLOCK-REPLACEMENT, PRODUCTION SYSTEM, AGE REPLACEMENT, DEMAND, Yedek parça envanter politikası, Karışık tam sayılı doğrusal optimizasyon modeli, Madencilik sistemleri
https://hdl.handle.net/11511/101061
PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
Department of Mining Engineering, Article

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Citation Formats
S. Şenses, O. Gölbaşı, and İ. S. Bakal, “A spare parts inventory optimization study in mining,” PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, vol. 28, no. 1, pp. 128–138, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/101061.
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