Owner’s engineering in the chemical industry is fundamentally different from the work performed by EPC contractors or engineering firms. While project execution is an essential responsibility, many owner’s engineering organizations also try to create long-term value by developing internal standards, databases, educational programs, and management systems.
The intention is understandable: preserve knowledge, improve quality, and reduce future risks.
However, good intentions do not automatically translate into business value.
In many organizations, significant engineering effort is spent creating internal assets that are rarely used, quickly become outdated, or simply increase administrative workload without improving project performance.
This article examines seven activities that are commonly viewed as “value-added” within owner’s engineering organizations but frequently fail to deliver the expected benefits if their purpose and maintenance costs are not carefully considered.
1. Expanding Internal Engineering Standards
Owner’s engineers accumulate decades of operating experience that EPC contractors rarely possess. Converting those lessons into company engineering standards seems like an obvious value-adding activity.
However, problems often arise because standards gradually become collections of historical incidents rather than well-structured engineering principles.
Many standards:
- simply reflect previous failures,
- provide requirements without explaining their rationale,
- ignore differences between plants or production methods,
- increase engineering costs without evaluating cost-benefit tradeoffs,
- become treated as absolute rules instead of engineering guidance.
As a result, internal standards may slow projects rather than improve them, while only a small number of engineers fully understand why the requirements exist.
2. Expanding Training Programs
Many organizations attempt to preserve engineering knowledge by creating extensive training materials.
Unfortunately, engineering judgment is largely experience-based.
Lessons learned during projects often depend on technical background, project conditions, organizational culture, and individual decision-making. These factors are difficult to capture in PowerPoint presentations or written manuals.
Training programs frequently become long collections of cautions and exceptions.
Employees may complete the training once, yet rarely revisit the material when similar situations actually occur.
Creating educational content often provides a sense of accomplishment for the authors, while producing relatively little improvement in practical engineering capability.
3. Building Cost Estimation Databases
Collecting historical project estimates appears to improve estimating accuracy.
In reality, estimating data has a limited shelf life.
Equipment prices, labor costs, market conditions, project scope, and operating requirements all change over time.
As a consequence, historical databases often become reference materials that engineers seldom consult.
For conceptual studies and feasibility evaluations, approximate cost ranges are usually sufficient, while detailed quotations are obtained directly from suppliers when projects move forward.
Maintaining large estimating databases can therefore consume more resources than the value they generate.
4. Organizing Vendor Information
Owner’s engineering organizations also attempt to evaluate equipment suppliers by collecting detailed company information.
These databases may include:
- company size,
- manufacturing capabilities,
- certifications,
- audit results,
- historical performance,
- subjective evaluations of sales representatives.
The challenge is that vendor capabilities continuously evolve.
Keeping such information current requires considerable effort, while purchasing decisions are often based primarily on proven project experience and technical suitability.
Consequently, vendor databases are referenced only occasionally and rarely become decisive decision-making tools.
5. Expanding Checklists
Checklists are valuable for inspections.
They are less effective for engineering projects that evolve over many months.
Unlike inspections, engineering decisions occur gradually as new information becomes available.
As checklists grow longer, engineers may simply complete them as administrative requirements rather than as meaningful quality assurance activities.
Instead of preventing errors, excessive checklists can increase workload while adding little technical value.
6. Accumulating Trouble Databases
Almost every owner’s engineering organization attempts to build databases of operational failures and maintenance issues.
The concept is attractive.
The execution is often disappointing.
Common problems include poor searchability, overly complicated categorization, missing project context, and records that describe only the final outcome without explaining why decisions were made.
Simply increasing the volume of stored information does not improve engineering performance.
Even AI systems cannot generate useful recommendations when historical data lacks sufficient quality or context.
7. Developing Dedicated Management Systems
As engineering information grows, organizations frequently replace spreadsheets with dedicated management systems.
The objective is usually centralized information management and version control.
Yet specialized systems often introduce new problems:
- higher development costs,
- greater maintenance requirements,
- additional administrative work,
- lower flexibility than general-purpose software.
Ironically, systems intended to improve efficiency may increase organizational complexity instead.
More management does not automatically produce higher engineering quality.
Conclusion
Owner’s engineers naturally focus on preserving technical knowledge and improving organizational capability. That objective is both important and necessary.
However, information accumulation should never become the objective itself.
Internal standards, training materials, estimation databases, vendor evaluations, checklists, trouble databases, and dedicated software systems create value only when they directly improve engineering decisions and project execution.
Otherwise, they simply increase administrative costs while reducing engineering productivity.
Successful owner’s engineering organizations continuously ask a simple question:
Does this activity genuinely improve engineering performance—or are we merely managing more information?
About the Author – NEONEEET
A user‑side chemical plant engineer with 20+ years of end‑to‑end experience across design → production → maintenance → corporate planning. Sharing practical, experience‑based knowledge from real batch‑plant operations. → View full profile
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