A spare parts inventory optimization study in mining

Creative Commons License

Senses S., GÖLBAŞI O., BAKAL İ. S.

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, cilt.28, sa.1, ss.128-138, 2022 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.5505/pajes.2021.46243
  • Dergi Adı: PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.128-138
  • Anahtar Kelimeler: 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
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.