Akademik Veri Yönetim Sistemi
10th International Drilling and Blasting Symposium, Antalya, Türkiye, 25 - 26 Kasım 2021, cilt.1, ss.51-60, (Tam Metin Bildiri)
Mine operators face increasing uncertainty. For
example, mineral price volatility, weather conditions, operating performance,
supply chain disruptions, etc. impact their ability to sustain cost-effective
production. Drilling is a primary activity that affects operating performance. Failures
of drilling equipment seriously impact production. Unplanned downtime causes
delays in blasting operations and all other downstream activities. Also, if the
equipment is not well-maintained, its performance will be poor. This results in
operational delays, the loss of production and unfulfilled sales agreements. To
consistently achieve planned production volumes, the reliable performance of
drilling equipment is a key element. Measuring reliability will allow the mine
operator to detect the frequency and impact of unplanned delays. Addressing
these aspects will allow the opportunity for equipment utilization. In a
dynamic mining environment, simulation techniques can be used to generate probable
realizations. These can be used to design an asset management program to reduce
unplanned events. This study presents a simulation process that can be used to
forecast maintenance needs, material requirements, performance and quantifies
risk. The proposed approach can apply different assets of a mining enterprise in
such a way as to pave a way for the development of an asset management program.
Multiple input variables were controlled simultaneously by stochastic modeling using
a discrete event simulation of drilling activities based on the historical asset
performance.