CASE STUDY
Enhancing Maintenance Engineering for AN EPC
Location: United States of America
Partner: DIGATEX
Year: 2020
Project Type: Data Extraction and Maintenance Hierarchy Build
Background
& Challenge
Hundreds of thousands of engineering tags for every maintainable item must be manually pulled from un-structured sources, documented and linked together, before being populated into the selected maintenance database. In order to remain competitive and provide a better quality and faster service our client partnered with DIGATEX to optimise and automate this process.
DIGATEX’s
Solution
Using our AIML Platform, DIGATEX created a set of digitally intelligent documents to build most of the data required to populate the maintenance hierarchy. Once in a digital format the data was made available in the DIGATEX Knowledge Hub where automated rule based utilities and drag and drop capabilities meant the engineers could very quickly create and verify the maintenance hierarchy build process.
Implementation
& Outcome
Product Utilised: DaaS & Knowledge Hub
Major Benefits
Time Efficiency
Data extraction – 70% faster than traditional processes and saved 30%-50% of time spent in building the asset hierarchy
Cost Savings
Data extraction and building the asset hierarchy delivered cost savings of 50%. Revising the hierarchies with as-built changes saved 80% of the cost
Operational Continuity
All the data is captured and can be visually shown on the documents, which significantly increases quality and reduces the amount of time checking
Conclusion
A key task at the beginning of such contracts is to create a Maintenance Hierarchy, essentially a list of all the maintainable items of equipment and materials in an organised hierarchy, where each item is a child of another item or system, allowing maintenance tasks to be optimised across logical groups of equipment items.
Used on several projects to assist in the asset hierarchy build. DIGATEX have now processed over 500,000 documents.
- Data extraction – 50% cheaper and 70% faster than “high value centres” manual processes with higher quality
- Asset hierarchy build – saved 30%-50% of time spent in building the asset hierarchy.
- Because all the data is captured and can be visually shown on the documents this increases the quality and reduces the amount of checking.
- Revising the hierarchies with as-built documents was 80% faster and cheaper than doing it manually using the compare and update features.
start THE conversation
Don’t let maintenance hierarchy build challenges impact your operations. Connect with us today to explore how our Data as a Service and Knowledge Hub can streamline your asset management, reduce downtime, and drive cost savings.