<img height="1" width="1" style="display:none;" alt="" src="https://dc.ads.linkedin.com/collect/?pid=22923&amp;fmt=gif">

Maintenance Strategies

 Corrective Maintenance:

Corrective maintenance is carried out after failure detection and is aimed at restoring an asset to a condition in which it can perform its intended function. In the Dynaway EAM module, a variety of corrective work flows are supported:

  • The machine operator can identify a machine failure and create a downtime registration that automatically triggers a service request for the maintenance department.
  • The maintenance worker can identify a failure and immediately create a corrective work order on which he can register work hours, spare parts and other related costs.
  • A machine can by itself report a failure through its PLC interface.

Structured registration processes around corrective maintenance are key in a fact-based approach to continuously improving the maintenance processes.

Condition-based maintenance:

Condition-based maintenance (CBM) is maintenance performed after one or more indicators show that equipment is going to fail or that equipment performance is deteriorating. In Dynaway EAM, you can specify condition assessments and trigger maintenance based on those assessments.

Preventive maintenance:

Preventive Maintenance is supported through maintenance sequences, which can be calendar-based (date, time, weekday, …), counter-based (produced units, hours, miles,..), or condition-based.

Counters can be linked to Dynamics 365 resources and thereby be automatically updated from production with hours in use or number of units produced. They can also be updated manually using the Dynaway Mobile Client as part of an inspection.

Preventive maintenance jobs are scheduled based on linear projections of registered counter values.

Predictive Maintenance:

Asset counters can be defined for individual asset types and then updated either manually or automatically, for example, through direct integration to PLCs. Those counters are an integral part of predictive maintenance, which covers advanced statistical analysis of one or more mathematical models underlying a given counter.

The Azure Machine Learning engine is a well-suited companion for Dynaway EAM as Azure ML can be linked directly to EAM data. Learn more about Predictive Maintenance using Azure here

 Find out more about Equipment Maintenance budgeting, cost control and KPI's here

 

Subscribe to our Newsletter

More articles

How to Create Preventive Maintenance Plan
Preventive maintenance is vital for every business. Without proper preventive maintenance,...
Microsoft Dynamics 365 Asset Management | Preview
We are pleased to announce the preview program of Dynaway EAM for Microsoft Dynamics Asset...
INFOGRAPHIC: How To Choose The Right EAM Solution Provider?
  In the sea of CMMS/EAM providers and solutions, finding the right one for your business or...
Work Order Software
At Dynaway, we rely on proven technologies that help us create great EAM applications and apps....
6 Preventive Maintenance Software Benefits
  If you have not been properly caring for the health of your company's equipment through...
Failure Data Analysis in Maintenance
In any asset-intensive industry, from manufacturing to mining to food and beverage processing,...
EAM Cleaning: Time to get Organized!
  Summer vacation is approaching and it is time to clean up your EAM system so you can...
Spare Parts Inventory Optimization: 8 Best Practices
  As a maintenance manager, your livelihood hinges on your ability to control maintenance costs...