Engineering-led organizations produce massive amounts of technical data through their work from conceptualizing to commissioning and supporting each design. While many organizations spend significant amounts on enterprise applications to support their engineering and design organizations, they typically have an incomplete picture of what the engineering organization has produced because their documents, calculations, specifications, and material definitions are not always centrally located and often reside on multiple projects, systems, or teams.
Therefore, for EPCs, OEMs, or system integrators, the same problem exists with having available engineering data but difficulty in extracting engineering intelligence for reuse or re-application.
The relevance of Engineering Lifecycle Management (ELM) will increase significantly to manage engineering data in the future.
In Engineering Organizations, There Exists A Hidden Problem
Engineers produce many different types of technical documents throughout the duration of an engineering project or product lifecycle. The following is a list of some of these technical documents that the engineering group produces throughout a project or product lifecycle:
- Equipment datasheets and specifications
- Documentation or submittals from vendors
- Design assumptions and engineering calculations performed by engineers
- Whatever a procurement engineer needs to do his job
- Approved deviations and replacements
- Inspection reports and operation and maintenance manuals
- Definitions for spare parts and parts request
- Engineering approval workflow and validation workflow
This problem is present in all industries oil and gas, water, wastewater, power, industrial automation, packaged systems, and infrastructure engineering.
The lack of information is not the issue.
The issue is that the knowledge of the engineering profession is not connected, governed, or reusable.
Where Engineering Processes Fail
All projects have common engineering needs that must be met. Pumps, valves, instruments, motors, motor-control centers (MCCs), control systems, and packaged equipment must be selected and designed. It won’t be long before many of the same questions come up, including:
- Has this equipment been designed before?
- Is there an approved technical template?
- Which vendors were previously evaluated?
- Is there an equivalent material created in the ERP?
- Can any of the approved alternatives or metadata be used again?
Because of the way some organizations work, many times, these questions cannot be answered on time, and new designs must be developed from scratch.
This leads to:
- Repeated engineering Work
- Repeated technical evaluations
- Conflicting definitions of the same equipment
- Repeated material creation in the ERP
- Loss of project-to-project knowledge
- Longer proposal and execution times
- Poor quality of handover to the customer
This is not just a document management issue.
It’s a lifecycle intelligence issue.
The Importance of Engineering Research and Development Data
ERP systems play an important part in managing the various functions of an enterprise, including procurement, inventory, material masters, finance, & commercial project experience.
The ERP system, or enterprise transaction record, provides a single source of truth for the information captured at each phase of the project’s lifecycle.
While engineering teams have access to the same enterprise transaction record ERP, they inquire into totally different types of information, such as:
- What prior systems did we engineer similar to the ones we are currently working on?
- What technical specifications did we approve for prior systems?
- What vendor data do we already have about this type of system?
- What engineering decisions can we reuse from before engineering?
- Are we going to create duplicate instances of any materials?
Therefore, since ERP systems were not designed to manage engineering knowledge, technical context, or the history of the organization’s engineering decisions, it is inefficient and duplicative to use an ERP system for an engineering intelligence system.
What Is Engineering Lifecycle Management?
Engineering Lifecycle Management (ELM) is the management of your engineering knowledge, technical data, workflows, and lifecycle continuity for your engineering from the time you establish your engineering definition until the time you have delivered it, introduced it to use, and assisted it in the long term.
So, simply stated:
Engineering lifecycle management connects engineering intent to technical knowledge, material intelligence, and execution across projects and delivered assets.
ELM is an engineering intelligence layer that sits between design activity and enterprise execution systems.
The Importance of Engineering Lifecycle Management for EPCs.
EPC Firms have a project-driven environment for their Work, but the Engineering Knowledge Should Not Be Lost to the Next Project.
Without ELM:
- Duplicating Definitions of Similar Equipment
- Duplicating Vendor Evaluation
- Duplicating Technical Approvals
- Inconsistent Material Definitions
- Different Quality of Customer Handover.
With ELM – Engineering Knowledge that can be Re-used as Enterprise Intelligence. Teams shift from asking “How Do We Engineer This Again?” to “What Do We Already Know?”
The Importance of Engineering Lifecycle Management in OEMs
OEMs have extensive technical knowledge throughout their organization, including development through manufacturing, delivery, servicing, and the aftermarket. An example of this depth of knowledge would be everything from product configurations through to approved components, service documentation, replacement parts, lifecycle updates, and modifications made in the field.
If there is no lifecycle governance, then this technical knowledge will become siloed and divided across different departments within the organization. The use of an Engineering Lifecycle Management System enables OEMs to standardize their engineering intelligence, along with establishing a master repository for technical documentation, material definitions, approved alternative materials, and approved and installed assets throughout the entire product lifecycle.
System Integrators Need to Care About Engineering Lifecycle Management
On every one of their projects, system integrators merge equipment, automation systems, instrumentation, electrical systems, software, and process packages together.
Whether through changes, orders or revisions, each project produces high-value engineering intelligence. If there isn’t continuity over the lifecycle of engineering items, then each project team must continuously reinvent all of the technical knowledge needed.
ELM allows System Integrators to develop and maintain reusable Engineering Packages, Standard Technical Architectures, Approved Component Intelligence, and service-ready documentation.
Example In Practice: Industrial Pump Package
An EPC (engineering, procurement, and construction) contractor is delivering a pump package for a desalination project. The package includes a centrifugal pump, motor, seals, and instrumentation and control interfaces that are part of this pump/engine package, as well as vendor documentation and spare parts.
Questions arise that should have been answered before commencing work on the package:
- Has anyone delivered a similar pump package before?
- Who approved the pump specifications?
- Can the vendor’s technical approvals be reused?
- Are similar materials defined in the ERP?
- What engineering metadata needs to be provided to the customer at the time of handover?
Due to the lack of lifecycle visibility, two different teams will be doing the same work because neither team will know what the other has done before.
With engineering lifecycle management, on the other hand, engineering knowledge becomes searchable, contextual, and reusable.
Engineering Lifecycle Management Is Not Document Management
Document Management deals with the storage of files.
Engineering Lifecycle Management deals with the preservation of engineering meaning.
ELM provides Engineering Technical Context, Metadata Intelligence, Workflow Governance, Traceability, Continuity Throughout Lifecycle, and Knowledge Reuse, much greater than a basic document storage function.
Understanding these two different disciplines is critical to Engineering Driven Companies.
Features of an Advanced Engineering Lifecycle Management System
A cutting-edge ELM solution must be provided:
- A means of preventing duplicate materials through the use of material intelligence.
- The ability to reuse past engineering decisions and technical knowledge.
- Engineering documents that can be searched and are contextual to the project.
- Engineering approval processes that are governed.
- Continuity between project delivery and lifecycle support.
- A high-quality customer handover package that is properly structured.
- Finding similar equipment and materials through the use of AI.
Conclusion
Engineering organizations fail to find a competitive advantage due to a lack of access to sufficient resources or data, but rather, due to a disconnect between engineering knowledge and life-cycle contexts such as enterprise-based information systems. Engineering Lifecycle Management provides the means to close this gap by allowing the transformation of engineering data into reusable enterprise-level intelligence, and ELM has a direct effect on delivery times, margins, quality, and lifecycle support. ELM becomes a significant competitive advantage to EPCs, OEMs, and systems integrators by providing this level of comprehensive knowledge and resources to improve and enhance the operations of their organization.
With nearly two decades of experience in engineering, I bring deep expertise across both EPC (Engineering, Procurement, and Construction) and product-based OEM environments. My core strengths lie in engineering standardization, process optimization, and technical leadership. I have consistently driven excellence through the development and implementation of robust engineering frameworks, delivering value across global industrial projects and complex product lifecycles.
