Data Driven Fleet Undercarriage Visibility
Data Driven Summarized Insights
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Undercarriage Management
Maximizing Track Life: The Power of Distance-Based Forecasting
Distance Based forecasting for Undercarriage Life and Replacements removes inaccuracies caused by: Idle Time Distortions and machine Speed Variations
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The Power of Undercarriage Data
There are several ways in which undercarriage data is collected. On its own, the data points will not mean a lot, but all together and once analysed, this data forms a powerful roadmap for end users, suppliers and manufacturers alike. The more data that is collected, the greater the power of this data. There is
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6 Tasks lead to Good Undercarriage Management
Performing 6 tasks will lead to long term costs savings and increased competitiveness in the market The reason to perform these tasks is that Undercarriage components undergo extra machining and surface hardening in order to have the necessary wear resistance. This costs more and thus undercarriage maintenance costs will be greater than 50% of the
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F1 and Cane Harvesters use Data to drive Maintenance Decisions
Sugar Cane Harvesters need to be operational 99% of the time during harvest season. Each mill uses a fleet of at least 30 of these machines, and sometimes up to 1000 pieces of equipment including tractors and trucks. These harvesters are complex, running on tracks and hydraulic systems. To ensure they stay available, maintenance is
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Undercarriage Cost per Hour calculations
Undercarriage Cost per Hour calulated
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Share the Love with your Track Frames
Track Frame condition is just as important as Track Components
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Distance. An Accurate way to measure Undercarriage performance.
Component life measured in distance travelled is the only accurate measure of performance
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Reliable Undercarriage Strategy to unlock the value of your undercarriage investment
Reliability Engineering can unlock the value of your investment in Undercarriage
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Study of Benchmarks for Undercarriage Management
Last year, we were asked by and Asset Manager seeking insights into the average worn percentage of undercarriage components at their end of life. His aim was to establish key performance indicators (KPIs) to measure his team. This inquiry instigated numerous deliberations regarding the definition of average up to exemplary performance. Given our unique access
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