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PROCEED Optimizes Preventative Maintenance (Case Study)

PROCEED Optimizes Preventative Maintenance (Case Study)

Product catalog summary
Challenge: A fleet of 40 construction equipment pieces must operate continuously to complete a project with no spare time for delays. Maintenance must integrate seamlessly with operations, but the volume of sensor data exceeds the interpretation capacity of maintenance personnel.
The PROCEED Solution: PROCEED software analyzes and models the vast data, providing insights to prevent failures and minimize costs. It helps in identifying critical maintenance actions to enhance equipment uptime.
Key Results: Caterpillar employs PROCEED models to drive preventative actions, achieving significant outcomes:
  • Prevention of 80 machine-days of downtime.
  • 40% reduction in consumable usage.
Data and Actions:
  • Data: Gigabytes of data from over 100 sensor channels are collected from a diverse fleet.
  • PROCEED: Experts use the software to create models that map sensor inputs to outputs, transitioning from historical to real-time data analysis.
  • Actions: PROCEED alerts prioritize actions for each equipment piece, enhancing maintenance efficiency.
Conclusion: Caterpillar's use of PROCEED software significantly enhances preventative maintenance, reducing downtime and consumable costs.
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Catalog excerpts

PROCEED Optimizes Preventative Maintenance (Case Study)-1

Challenge > A fleet of 40 pieces of construction equipment must be available 24/7 to finish a job. Theres no spare time in the project, so maintenance has to mesh with operations. Data from sensors on the equipment exceeds the ability of maintenance personnel to interpret it. Caterpillar uses PROCEED models to drive preventative actions, reducing costs and increasing uptime. The PROCEED Solution > PROCEED finds knowledge in the chaos of information, models it and gives the owners a way to prevent crippling failures while minimizing cost Data PROCEED Actions Results > Gigabytes of data recorded from over 100 sensor channels is collected from a fleet of construction equipment of varying ages.Experts working with the PROCEED software create a model which maps input sensor signals to output sensor results. The models then switch from historical to real-time data.PROCEED alerts the customer to the action priority for each piece of equipment.Caterpillar uses the PROCEED software to prevent 80 machine-days of downtime and results in a 40% reduction in consumables. Results Caterpillar uses the PROCEED software to prevent 80 machine-days of downtime and results in a 40% reductionin consumables. size="-5">

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