features

predictive maintenance

about

Forecast maintenance based on a detailed analysis of the condition of an asset.

Predictive maintenance involves a condition-based process, forecasting when a physical asset failure can occur and facilitate maintenance at the right time. This is achieved through monitoring the condition of the asset through data from machine sensors and smart technology to alert the maintenance team when a piece of equipment is at risk of failing.

Even though predictive maintenance can be carried out via visual inspections of equipment, the effective way to establish a predictive maintenance strategy is by using an Enterprise Asset Management (EAM) to track sensor data or meter readings.

Benefits

Benefits of predictive maintenance

  • Reduction in maintenance costs

    The costs associated with maintenance operations can be reduced by more than 50%.

  • Reduction in machine failures

    Reduce the number of unexpected and catastrophic equipment failures by approximately 55%.

  • Reduced downtime for repairs

    Reduces the time required to repair or recondition asset. Reduce the mean time to repair (MTTR) by 60%.

  • Improved operator safety

    Early warning of machine and system problems reduces the risk of destructive failures, which can lead to injury or death.

  • Increased service life of parts

    Preventing early detection of machine and system problems increase the service life of an industrial machinery by an average of 30%.

Stop wasting time and money on maintenance. Let’s get started

Software

Predictive Maintenance is included in Mainpac software

Clients & Partners:

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Why choose us?

Mainpac is agile and responsive partner rather than a large corporate, delivering flexibility and true partnership approach

  • timekeeping-5901_5329fe42-c6a6-4dde-bf82-cc5387ef3701
    2.5-3x

    Faster delivery of information compared to Tier 1 EAM suppliers though Rapid implementation process

  • coins-2452_3800c0d7-bb74-4470-909a-e107b62b50e6
    >50%

    Reduction in costs with comprehensive asset awareness via Asset Intelligence

  • diploma-2983_a6bb0b64-dbc1-431e-ac00-a83597982a0
    +32 years

    Experience in enterprise asset management solutions for multiple industries

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