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8 Proven Tactics of
Predictive Maintenance
Greatness
Predictive maintenance needs to be carried out for every industrial asset, as this is a crucial role.
There are certain factors that can explain why this is very important and how it actually helps
both customers and producers at the same time.
Let's look at some of them.
Reducing downtime
Identifying potential problems, failures and asset tracking will benefit any
company in the long run. Prediction of future downtime problems will optimize
production capacity and ROI. Predictive maintenance will reduce the downtime
of the unplanned system by anticipating when the machine needs to be tested.
Increased productivity
There will be less maintenance on good parts, quicker repair of defective parts, and effective
repairs will increase operational performance. This can lead to an increase in the productivity and
efficiency of processing plants.
Lower maintenance cost
Predictive analysis techniques, such as big data analysis, machine learning, etc., have applied to a
greater extent with businesses and plants. Predictive maintenance has been found to reduce
maintenance costs by between 25% and 35%.
Extend the equipment lifetime
PDM reduces machine failure and ensures secure operation in the background. Periodic analysis
of the performance of the machine, the value production over time, the throughput, the use and
also the shelf life of the machine must be continuously evaluated. We will increase the length of
the equipment and thus extend the life of the equipment.
Reducing stock of spares
PDM can play a key role in the handling of spare parts. This collects computer data and
helps manufacturers to reduce repair time by using advanced analytics. Instead of
buying all spare parts as an inventory, it allows industrial plants enough time to order
spare parts and replacement parts as and when necessary.
Constant alertness
Predictive maintenance can help send system degeneration alerts, parts change
schedules, so that there is no downtime event at the plant. Automating these
warnings and ensuring that every aspect of maintenance is tracked, there is
continuous alertness in operations contributing to maximum uptime and high
productivity.
Improved safety
Maintenance of manufacturing should be part of an organizational plan to
avoid accidental accidents. Failure of equipment can also be disastrous and
may even cause death. New technologies with warning systems and detectors
will help improve plant safety.
Improved customer satisfaction
Consistent performance provided by proper maintenance can lead to better
products and more satisfied customers. Timely maintenance activities and
automated parts replacement reminders will improve the image of the
company to its consumers and also provide a competitive advantage on the
market.
Predictive maintenance strategies can improve overall operations and also
increase customer satisfaction for all production and process industries.
Source:-https://www.goospares.com/blog/8-proven-tactics-to-realize-predictive-maintenance-greatness/

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8 proven tactics of predictive maintenance greatness

  • 1. 8 Proven Tactics of Predictive Maintenance Greatness
  • 2. Predictive maintenance needs to be carried out for every industrial asset, as this is a crucial role. There are certain factors that can explain why this is very important and how it actually helps both customers and producers at the same time. Let's look at some of them. Reducing downtime Identifying potential problems, failures and asset tracking will benefit any company in the long run. Prediction of future downtime problems will optimize production capacity and ROI. Predictive maintenance will reduce the downtime of the unplanned system by anticipating when the machine needs to be tested.
  • 3. Increased productivity There will be less maintenance on good parts, quicker repair of defective parts, and effective repairs will increase operational performance. This can lead to an increase in the productivity and efficiency of processing plants. Lower maintenance cost Predictive analysis techniques, such as big data analysis, machine learning, etc., have applied to a greater extent with businesses and plants. Predictive maintenance has been found to reduce maintenance costs by between 25% and 35%. Extend the equipment lifetime PDM reduces machine failure and ensures secure operation in the background. Periodic analysis of the performance of the machine, the value production over time, the throughput, the use and also the shelf life of the machine must be continuously evaluated. We will increase the length of the equipment and thus extend the life of the equipment.
  • 4. Reducing stock of spares PDM can play a key role in the handling of spare parts. This collects computer data and helps manufacturers to reduce repair time by using advanced analytics. Instead of buying all spare parts as an inventory, it allows industrial plants enough time to order spare parts and replacement parts as and when necessary. Constant alertness Predictive maintenance can help send system degeneration alerts, parts change schedules, so that there is no downtime event at the plant. Automating these warnings and ensuring that every aspect of maintenance is tracked, there is continuous alertness in operations contributing to maximum uptime and high productivity.
  • 5. Improved safety Maintenance of manufacturing should be part of an organizational plan to avoid accidental accidents. Failure of equipment can also be disastrous and may even cause death. New technologies with warning systems and detectors will help improve plant safety. Improved customer satisfaction Consistent performance provided by proper maintenance can lead to better products and more satisfied customers. Timely maintenance activities and automated parts replacement reminders will improve the image of the company to its consumers and also provide a competitive advantage on the market. Predictive maintenance strategies can improve overall operations and also increase customer satisfaction for all production and process industries. Source:-https://www.goospares.com/blog/8-proven-tactics-to-realize-predictive-maintenance-greatness/