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Heavy Mining Equipment Benchmark Accurate mobile equipment data for mining professionals. With HME Benchmark choose from over 1,000 machines and define its operating circumstances, to generate a contextual estimate that details periodic maintenance costs, manpower requirements and machine availability for the term of the estimate.
3.1. Percentage Availability A machine is considered available when it is fit to be put to perform its duties. The availability is determined by dividing the hours the machine is available and is used plus the hours it is available but not used due to various reasons over a period of one year. It is normally expressed in percentages.
It’s a key measurement by which mine management quantifies the performance of its equipment fleet, and it provides the basis for identifying equipment needs. Three critical factors affect equipment availability: The design of the product, the application/operation in which it is used, and the maintenance it receives during its time in service.
6/1/2005· Key effectiveness indices used in the mining industry are equipment availability, reliability, and maintainability and safety indices. Reliability is often measured by mean time between failures (MTBF) and maintainability as the mean time to repair or restore service (MTTR).
Influencing equipment performance through maintenance metrics Successful sites use key measurements to improve availability. The primary deliverable for any mine maintenance organization is available hours that the operations department can use to meet its production goals. Performance in this area is reported in terms of availability.
Conducting an availability assessment can be an extremely useful tool for mine operators in effort to reduce operating and production costs. For example, an increase of availability in a piece of equipment by 1 % may result in a profit gain between 1.7 3.5 %. Equipment availability is typically calculated using the equation below:
4/1/2008· Effectiveness of the mining equipment is mainly influenced by the availability, reliability and maintainability of the system, and its capability to perform as expected. Reliability analysis techniques have been gradually accepted as standard tools for the planning and operation of automatic and complex mining systems since the mid-1980s.
Abstract—Reliability and availability of the equipment or benchmarks on the expected life of equipment components. However the effectiveness of such strategies reliability analysis of mining equipment such as load-haul-dump (LHD) machines [1, 16, 17]. In these studies,
22.214.171.124.1 Mining equipment 40 126.96.36.199 Production plan for surda mines 41 188.8.131.52 Scheme of operation. 42 184.108.40.206.1 Production target 42 availability is often taken for granted. In the developed world, the value of mining is increasingly being called into question. The difficulty in making profits is compounded by political
Boosting production volumes became the industry’s top priority. Mining companies worldwide largely lost sight of productivity goals that had underpinned operating discipline in the lean years of the 1980s and 1990s, when parts of the industry had set a healthy record in productivity improvement (Exhibit 1).
Defining World-Class. OEE is the ratio of Fully Productive Time to Planned Production Time (refer to the OEE Factors page for a graphical representation). It is calculated as the product of its three constituent factors:. OEE = Availability × Performance × Quality. The nature of this calculation makes achieving a high OEE score quite challenging. For example, if all three factors are 90%