The ultimate performance of any piece of mining equipment is primarily dependent upon three critical factors: the design of the product, the application that it is used in, and the maintenance that it receives during its time in service To some degree each of these
Caterpillar’s experts developed a collection of “top tier” performance metrics called Key Performance Indicators (KPIs) that give mine managers a “cockpit view” of what they need to assess their situation
0510 Performance Metrics for Mining Equipment (4) Free download as PDF File (pdf), Text File (txt) or read online for free
Additionally, this study found that the scenario with more than one loading equipment has a higher MPi of 71% compared with the scenario with one loading equipment having an MPi of 67% Further
25102020· MPi uses availability, utilisation and performance to compare and evaluate equipment These measures apply to all equipment in mining However equipment use in mining
Example KPIs for Mining Average bucket weight Average fuel use per machine Average loading time Average number of dumps per hour/day/week/month Average number of loads per hour/day/week/month Average payload Average swing time
The majority of surface mining equipment in the world comes from one manufacturer: Caterpillar And for good reason Cat® equipment is designed to lower cost per ton by providing productive and reliable performance no matter the application Our product line is unmatched, with equipment
As a result, the labor metric doesn’t offer guidance on a mine’s total productivity performance Similarly, the overall equipment effectiveness (OEE) metric—commonly calculated from dispatch data about equipment operating time and delays—provides important insights about availability, utilization, and tempo performance, but is focused on component parts of the operation such as shovels or a
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 Annual and monthly estimates can be created, and
In essence, mining supply chains are interdependent systems of multiple pieces of fixed and mobile equipment Tools and metrics such as OEE are a sound basis for operational improvement but fail to grasp system complexity Realtime data and better analytical engines are making possible the scheduling and processing decisions that maximize utilization of equipment and yields One example
Machine performance must ultimately be measured in unit cost of material moved, a measure that includes both production and costs Factors bearing directly on productivity include such things as weight to horsepower ratio, capacity, type of transmission, speeds and operating costs The Performance Handbook considers these factors in detail
most of mining conditions Table 1 Equipment Operating Efficiency Equipment Operating Efficiency Remark 090 Good 080 Average 070 Poor Table 2 Job Management Efficiency Job Management Efficiency Remark 100 Good 085 Average 065 Poor
The key performance indicators (KPIs) that you use ought to help you to understand what Maintenance is doing, what it is achieving for the business and what more it can do to improve operational performance Maintenance performance can be improved by making it more effective and more efficient Effective maintenance is doing the right maintenance: that which brings higher
TEEP (Total Effective Equipment Performance) is a performance metric that provides insights as to the true capacity of your manufacturing operation It takes account both Equipment Losses (as measured by OEE) and Schedule Losses (as measured by Utilization ) TEEP is calculated by multiplying four factors: Availability, Performance, Quality, and
AASHTOSupported Performance Metrics • AASHTO and the State DOTs have been in a multiyear effort to develop a set of National Metrics for transportation performance • Intent is to provide a standard basis for individual States to view their Fleet Performance and provide a National Fleet Performance overview
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 Annual and monthly estimates can be created, and
In essence, mining supply chains are interdependent systems of multiple pieces of fixed and mobile equipment Tools and metrics such as OEE are a sound basis for operational improvement but fail to grasp system complexity Realtime data and better analytical engines are making possible the scheduling and processing decisions that maximize utilization of equipment and yields One example
When you trend MTBF, then an increase in the metric is a good thing and will signify that the asset reliability in improving or increasing It’s a simple KPI formula: MTBF = Operating time (hours) / Number of Failures Let’s say you are a mining company, and you’re monitoring the MTBFs of each haul truck One troublesome vehicle has had a running time of 3,500 hours this year and already suffered nine
most of mining conditions Table 1 Equipment Operating Efficiency Equipment Operating Efficiency Remark 090 Good 080 Average 070 Poor Table 2 Job Management Efficiency Job Management Efficiency Remark 100 Good 085 Average 065 Poor
Machine performance must ultimately be measured in unit cost of material moved, a measure that includes both production and costs Factors bearing directly on productivity include such things as weight to horsepower ratio, capacity, type of transmission, speeds and operating costs The Performance Handbook considers these factors in detail
Mobile Fleet Drill Blast Load Haul Slide 11 PwC Asia School of Mines 2012 November 2012 PwC Improving equipment utilisation increases productivity Total time (8760 hours) Scheduled time (Loading %) Available time etc and unplanned maintenance down time) Operating time Loss Effective operating time Loss Loss Loss 1 Loss 2 Loss Actual effective production time Scheduled nonoperating time
AASHTOSupported Fleet Performance Metrics • AASHTO Subcommittee on Maintenance have identified four National DOT fleet performance Metrics: 1 Preventive Maintenance(PM) Compliance 2 Retention/Replacement 3 Utilization 4 Availability/Downtime • States submit reports on these four metrics to EMTSP in January and July each year
TEEP (Total Effective Equipment Performance) is a performance metric that provides insights as to the true capacity of your manufacturing operation It takes account both Equipment Losses (as measured by OEE) and Schedule Losses (as measured by Utilization ) TEEP is calculated by multiplying four factors: Availability, Performance, Quality, and
Using this metric, you can identify what has a negative impact on your production, so you can eliminate it To calculate the OEE, you multiply the availability by the performance and quality: OEE = availability x performance x quality 3 Mean time to repair (MTTR) MTTR is the measure of
During this research, a total of 28 manufacturing performance indicators have been identified as the most important by decision makers All metrics were divided into the following 7 categories: Customer Experience; Supplier and Product Quality; Operations Efficiency; Ensuring Compliance; Reducing Maintenance Spending; Increasing Flexibility and Innovation