MAPP VITA - Maintenance Module

Boost equipment performance to help maximize overall productivity through condition-based and predictive maintenance.

maintenance module

Maintenance is an essential part of manufacturing but needs significant time and efforts. Use the power of predictive maintenance with our Maintenance Module and optimize maintenance activities. Boost overall productivity by reducing non-productive loss of time, increasing worker safety, and reducing maintenance costs.

With MAPP VITA Maintenance tasks are scheduled and allocated to maintenance personnel using a graphic user interface and scheduled jobs are visualized online by staff at their terminals. This increases flexibility in maintenance and minimizes machine downtime. It lets the maintenance engineer fully document all completed jobs. Spare parts and consumables used are also recorded, along with the response and service times of the maintenance engineers. Our Smart Digital Assistant Hardware acts as operator interface and raise tickets for maintenance. Maintenance personnel gets pop up and can attend call per scheduled. Maintenance team will close the call once the machine is up and ready. All maintenance logs can be captured and stored at specific machine master.

The MAPP VITA module is meant for Preventive and Breakdown maintenance, Condition Based monitoring and Predictive maintenance.

maintenance module

Benefits

Case Studies

Preventive and breakdown maintenance was being handled through manual data entry and excel sheets. Manual entry resulted in a mismatch with times booked by different departments for the same event. Records could not be analyzed effectively for further improvement.

Preventive maintenance could be planned and tracked from MAPP VITA software. With smart digital assistance displays near machines, the operator could raise tickets for downtime.  Sensor-based machine health monitoring was introduced.

Reduction in paperwork, Pop-ups, and auto alerts resulted in better execution of the plan. Auto logging of tickets and linking them to machine restart time ensured accuracy of recorded downtimes and response time for tickets raised. Health monitoring using sensors helped prevent unscheduled breakdowns.

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