The Impact of Poor CMMS and EAM Data Quality on Operations 

Operational Readiness

The goal of any major capital project or modification is to deliver new assets that:

• Support the original design production requirements
• Achieve revenue goals set out in investment plans
• Meet necessary safety and regulatory requirements

Operational readiness focuses on the people, processes, and systems that collectively define the operational capability and future asset life cycle requirements for continued operations. The information comes from many sources and is of varying levels of completeness and quality. All of the information must be brought together and harnessed to deliver an optimal level of operational readiness.

Incomplete data makes it difficult for operations teams to:

• Develop a comprehensive strategy for maintaining an asset in full production
• Understand how process or unplanned failures can occur
• Safety-test alternative methods for returning to production
• Ensure an asset works under multiple test regimes and in multiple environments
• Ensure the data adheres to corporate standards
• Start up operations on schedule

Operational Excellence and Effectiveness

Operational excellence stresses the application of principles, systems, and tools toward the sustainable, continuous improvement of key performance metrics.

How data quality can hinder operational excellence:

• An inability to accurately measure performance of systems, assets, and people
• The inability to properly plan and schedule maintenance activities
• Unplanned stoppages, increased downtime, and production loss
• Increased emergency asset replacements
• Higher capital budget expenditures
• Decreased production capacity and output
• Decreased product quality

Standardization Across Facilities

Today’s multinationals operate similar facilities in many different locations and countries.  But to make the most of this scale they need to standardize their operations. If different facilities organize and manage the same or similar assets differently then it makes it a challenge to leverage their global scale for business advantage.

Standardization of Asset Data is needed to enable:

• The reuse of standard facility and equipment engineering and designs across the organization
• The comparison of asset performance across different facilities
• The optimization of the supply chain on a global scale
• The sharing of maintenance and reliability information across all facilities
• Rolling out headquarters driven operational excellence initiatives across the organization
• Rolling out strategic corporate initiatives like the industrial internet-of-things (IIoT) efficiently
• Consistency in operations and practices for operational efficiency, health & safety and regulatory purposes