Early Project Planning of Asset Data Standards

by | May 15, 2018 | Asset Management, Operational Excellence, Reliability

Capital project team members are under constant pressure to meet project deadlines and get the manufacturing or production process up and running. But how do they ensure that the capital assets installed will run reliably over time?

Efficient Plant: Data Standards Lead to Project SuccessIn an Efficient Plant article, Data Standards Lead to Project Success, Emerson’s Scott Janzen describes the critical need for early planning to develop and execute a data acquisition plan for all the assets in the plant that will require ongoing maintenance. He opens noting:

Assets begin to degrade as soon as they are in operation. If the documentation for those assets is lost in a storage room collecting dust, equipment may not receive the level of maintenance that it truly needs.

If not planned effectively up front and if asset technical data is delivered late in the project:

…assets cannot be set up until they have arrived on site, putting asset configuration on the critical path and increasing the risk of budget and schedule overruns.

Manufacturers see four benefits incorporating this data acquisition plan into the project scope:

…extended asset lifecycles, general plant protection, on-time/on-budget project delivery, and plant-personnel engagement.

A very important activity upon startup is:

…to collect an accurate predictive maintenance (PdM) baseline for new equipment so that later readings and examinations can be compared with the as-delivered, or new-asset, readings.

Without the data planned, organized and in place, it is very difficult to save this baseline information in way to easily retrieve it later to perform performance comparisons. Scott shares an example where not collecting this baseline performance data caused a manufacturer to pay for a series of mixer equipment failures, when the fault turned out to be with manufacturing defects in the mixers.

He notes the reality of most project teams on the difficulty in going back to complete activities not originally planned in the project scope.

Once startup occurs, no one has the time to go back and reconcile the EAM [enterprise-asset-management systems] and CMMS [computerized-maintenance-management software] data with the documentation received at the end of the project. As a result, the maintenance databases are compromised when operations begin and, as data drift takes hold, the databases only get worse.

Scott recommends:

Starting a maintenance program properly means allocating time and resources to effectively and accurately document asset specifications. To accomplish that, organizations need to have a data standard in place.

Read the article for more on how incorporating this asset data acquisition plan into the project scope streamlines operations after startups and avoids the pitfalls of early reliability issues caused by a lack of awareness, as well as the importance of site champion to lead the data standards development and ongoing governance.

You can learn more about how Emerson’s Operational Certainty consultants can help you effectively plan, scope an execute this effort. You can also connect and interact with other reliability experts in the Reliability & Maintenance and Operate & Maintain groups in the Emerson Exchange 365 community.

Popular Posts



Related Posts

Follow Us

We invite you to follow us on Facebook, LinkedIn, Twitter and YouTube to stay up to date on the latest news, events and innovations that will help you face and solve your toughest challenges.

Do you want to reuse or translate content?

Just post a link to the entry and send us a quick note so we can share your work. Thank you very much.

Our Global Community

Emerson Exchange 365

The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.

PHP Code Snippets Powered By : XYZScripts.com