Dynaway EAM –

Planning

Work orders can be planned automatically by the Advanced Planning Engine in Dynaway EAM which will optimize the work order plan based on different parameters like skills, worker, worker groups, expected start date, location preferred worker and criticality.

Using the graphical dispatch board work orders can also be planned manually. The touch-based graphical dispatch gives an excellent overview of work orders, worker capacity and availability, work order criticality, tool requirements and much more.

If the individual maintenance workers do the planning, then the graphical Kanban board will allow a worker to pick work orders from a global or site specific work order pool and then move the work order through its different stages, giving the maintenance manager real time insight into the work order processing.

Mobile work order execution

The mobile EAM client is a comprehensive offline capable client that supports a very wide variety of processes related to work order execution. Key features are:

• Asset browser
• Work order check lists
• Material consumption on work orders
• Time registration on work orders
• Service requests
• Fault registrations
• Offline Inventory
• Kanban planning board

Advanced Cost control

For all assets, the costs including labor, expenses and spare parts are tracked and timestamped giving a complete view of the Total Cost of Assets (TCA). The TCA overview is available at the lowest component level as well as at a site, production line or machine level.

The Dynaway EAM module allows you to easily analyse your maintenance costs and make fact-based decisions on improved maintenance processes:

• Are corrective maintenance spendings on a rise and should you increase your  preventive maintenance efforts?
• Are certain assets so expensive in regards to maintenance they should be retired?
• Whats the cost of production stops and what is the primary reasons for production stops?

With Dynaway EAM downtime registrations can be systematically analyzed, including the cost of downtime, and be a key component in continuously improving maintenance management in your organization.

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 make a down time registration which automatically triggers a service request for the maintenance department.
• The maintenance worker can identify a failure and immediately create a corrective work order where he can register time, material and actions taken.
• A machine can by itself report a failure through its PLC interface

Having structured registrations processes around corrective maintenance is key in a fact based approach to continuously improving the maintenance processes.

Learn about Service Requests

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 these assessments.

Preventive maintenance

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

Counters can be linked to Dynamics AX resources and thereby be automatically updated from production with hours in use or manufactured units. They can also be updated manually using the mobile client as part of an inspection.

Preventive maintenance will be scheduled based on linear projections of the registered counter values.

Predictive Maintenance

Asset counters can be defined for individual asset types and then updated either manually or automatically through e.g. direct integration to PLC’s. These counters are obvious candidates for predictive maintenance, where predictive maintenance covers advanced statistical analysis of one of more mathematical models underlying a given counter.

The Azure Machine Learning engine is a very well suited companion for Dynaway EAM, as Azure ML can be linked directly to EAM data. Read more about using Azure ML for predictive maintenance on our BLOG where you can find this series of articles:

Sparepart handling

All the standard inventory processes you find in Dynamics AX are supported and utilized by the Dynaway EAM module.

• You can setup inventory min/max on critical spareparts
• You can automatically create purchase orders for the work orders spare part requirements
• We support all the standard inventory dimensions like site, warehouse and serial number.

You can also include work order forecasts in the master planning to ensure spare parts are available according to the planned start date on the work orders.

For specific assets or asset types you can setup approved spare parts and you have access to the entire spare part history of all assets.

Integration

The EAM module is architecturally built directly into Dynamics AX and Dynamics 365, which guarantees a seamless integration to all standard Dynamics AX modules:

• Finance
• Procurement
• Inventory
• Projects
• Fixed Assets
• HR

In essence this seamless integration means that with the Dynaway EAM module, the maintenance department can focus on optimizing maintenance processes, instead of spending time on tedious inventory, finance and purchase processes.

Another key effect is that for your entire ERP and EAM platform you only need:

• One database
• One reporting engine
• One security model
• One customization model
• One BI engine