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Abstract

Spare parts inventory in a mine incorporates various mechanical to electrical equipment components that need to be available in case of any repair, preventive maintenance, and/or revision on equipment. These parts are generally stored at the mine sites under a specific policy in such a way that any equipment production delay due to unavailability of the spare part is mitigated or prevented. Scope of such a policy may consider i) frequencies of different failure modes, ii) their contributions to equipment downtime, iii) lead times and prices of spare parts, iv) administrative point of view, and v) risk appetite of the company. Since each part in an equipment holds changeable surviving and maintenance times with a random behavior, and lead times of spare parts variate according to their supplier service, it may be challenging to measure the effectiveness of an existing spare part policy and its effect on production loss. In this regard, this paper presents a simulation algorithm that is capable of measuring the negative addition of a spare part policy to the related mining production. A numeric example is also provided in the study for a quantitative verification.

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References

  1. Hu, Q., Boylan, J.E., Chen, H., Labib, A.: OR in spare parts management: a review. Eur. J. Oper. Res. 266(2), 395–414 (2018)

    Article  Google Scholar 

  2. Qarahasanlou, A.N., Barabadi, A., Ataei, M., Einian, V.: Spare part requirement prediction under different maintenance strategies. Int. J. Min. Reclam. Environ. 1–14 (2017)

    Google Scholar 

  3. Ghodrati, B., Kumar, U.: Operating environment-based spare parts forecasting and logistics: a case study. Int. J. Logistics: Res. Appl. 8(2), 95–105 (2005)

    Article  Google Scholar 

  4. Ghodrati, B., Akersten, P., Kumar, U.: Spare parts estimation and risk assessment conducted at choghart iron ore mine. J. Qual. Maintenance Eng. 13(4), 353–363 (2007)

    Article  Google Scholar 

  5. Louit, D., Pascual, R., Jardine, A.: Dynamic optimization model for mining equipment repair by using the spare-Parts inventory. J. Min. Sci. 46(4), 394–403 (2010)

    Article  Google Scholar 

  6. Martínez, A., Pascual, R., Maturana, S.: A methodology for integrated critical spare parts and insurance management. Appl. Stoch. Models Bus. Ind. 32, 90–98 (2016)

    Article  Google Scholar 

  7. Zhang, Q., Lv, X., Shi, J.: Research on inventory sharing model of frequent mining machinery maintenance spare parts. In: Proceedings of 12th IEEE Conference on Industrial Electronics and Applications, 1224–1229, IEEE, Siem Reap (2017)

    Google Scholar 

  8. Gölbaşı, O., Demirel, N.: A cost-effective simulation algorithm for inspection interval optimization: an application to mining equipment. Comput. Ind. Eng. 113, 525–540 (2017)

    Article  Google Scholar 

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Correspondence to O. Gölbaşı .

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Gölbaşı, O. (2019). Effect of Spare Parts Policy on Equipment Production Loss in Mining. In: Widzyk-Capehart, E., Hekmat, A., Singhal, R. (eds) Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-99220-4_41

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