作者: Shailesh Kumar Sone
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摘要: Surface mining is the most well-known around world, and open pit accounts for more than 60% of all surface yield. Haulage costs represent as much aggregate working expense these type mines, so it desirable to keep up an effective haulage framework. Equipment availability estimation utilization very precisely which important since mine manager wants utilize their equipment effectively possible get early return investment well reducing total production cost. In present situation achieve high productivity HEMMs in opencast desired have % besides ensure overall effectiveness per CMPDI norms/global bench marks. OEE shows that how utilized with its maximum effectiveness. It uses parameters like availability, performance One method use haul cycle queuing theory. Queuing theory was developed model systems provide service randomly arising demands predict behaviour such systems. A system one customers arrive service, wait if not immediately available, move on next server or exit once they been serviced. Most routes consist four main components: loading, loaded hauling, dumping, unloaded hauling loader. These components can be modelled together servers cyclic network, independently individual channels. Data from a large are analysed applied multichannel representative loading process cycle. The outputs compared against actual dumper data evaluate validity developed.