Preventive Maintenance

Introduction

Approach maintenance the right way

In industrial setting, the health of a machine impacts a lot of things. This is because even if a single part malfunctions the surrounding value chain gets disturbed. Preventive maintenance when combined with IoT solutions makes it easy to streamline the process and rapidly detect problems.
In the race to reduce the machine downtime, preventive maintenance has grown to be mission-critical capability that IoT platforms bring to the shopfloor.

 

Information 1(6)
Information 2(5)

Problem

Random machine failure is a normal event in a shopfloor set-up. What ensues is a spill over effect such as damage connected to other equipment, safety risks, unplanned downtime resulting in overtime and other costs.

  • Unpredictable machine downtime
  • Higher costs
  • Quality issues

Solution

The IoT technology offers

With IoT platforms, preventive maintenance is responsive because the technology allows connectivity through sensors on the equipment. These sensors in-turn monitor the condition of machines and alert when necessary.

  • Economical to inter-connect machines
  • Real time machine data
  • Varied functionalities
Solution

Advantages

advantages(6)

One of biggest advantages of IoT in preventive maintenance is that it helps in monitoring remote assets. The ML/AI algorithms are able to detect patterns from the endless data items collected from machine to forecast any problem and take action like stopping the machine before it fails. Equipment failure, no matter where it occurs is costly. IoT preventive maintenance dramatically solves the manual scheduling and logistical arrangements for maintaining remote machines. With IoT-led preventive maintenance, technicians are sent to field only when the maintenance is needed and scheduled.

  • Better prepared for maintenance
  • Lower maintenance cost
  • Seamless operations

Numbers Speak

The real-time data presented on the dashboard, along with historical performance and production analytics help you make quicker decisions. With such detailed insights, you can take measures to improve productivity and operation effectiveness.

numbers speaks(8)
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30% INCREASE IN MACHINE UTILIZATION
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51% INCREASE IN OPERATION EQUIPMENT UPTIME
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25% REDUCTION IN MACHINE BREAKDOWN

Case Studies

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