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Treating asset value as a last step in the process or an administrative burden will simply not get the job done. JD Solomon Inc. provides practical solutions.
Treating asset value as a last step in the process or an administrative burden will simply not get the job done.

When asset managers claim their Computerized Maintenance Management System (CMMS) or Enterprise Asset Management System (EAMS) data is 90-95% accurate, they are referring to asset attributes. In my three decades of experience, the “asset value” in the databases is usually 20-25% complete. That’s a shame because how can an organization manage “anything of value” (your assets) if you don’t understand what they are worth?

 

An asset is an item, thing, or entity that has potential or actual value to an organization. – ISO 55000

 

A Story As Old As Time

My company is usually called in to help asset management programs that are struggling or, at least, not delivering the value that senior management wants. Here is a recent version of a common story related to asset values.

 

“We’ve been doing formal asset management for over a decade,” explained the 40-year-old asset manager who is assigned to the engineering department. “We have patterned our program on best practices from ISO 55000.”

 

I asked, “Well, what are some of your accomplishments?”

 

“We have stood up our EAMS, built our asset hierarchies, populated most of the attributes, and started a condition assessment program,” the asset manager confidently replied. “It took some time, but we finished our asset management policy, performed a level of service assessment, and started doing risk assessments.”

 

“So, how is it going with assigning values to your assets?” I asked.

 

The blank look told me all that I already knew, “We have not gotten to that part yet. We know we need to eventually get to it, but we have had too much other stuff to focus on.”

 

[“Well, after a decade, how do you know the value of what you are doing?” I rhetorically asked myself.]

 

Why Asset Value Is Poorly Done

Large organizations manage tens of thousands of assets, each with multiple attributes. Resources and processes are rarely sufficient to maintain accuracy across this scale. Acknowledging the gap is difficult, but ignoring it undermines planning, risk management, and being able to express the value of what you are doing.

 

1 No One Uses It, So No One Wants to Admit It

Many asset management programs exclude asset values from their CMMS or EAMS because most systems are designed as work order engines rather than strategic investment tools. Maintenance, operations, and engineering teams typically prioritize technical attributes like horsepower, pressure ratings, and PM schedules, but view financial valuation as "accounting data" that belongs exclusively to someone else.

 

Without a clear mandate to link physical performance to financial outcomes, the effort required to develop and update these values is often dismissed as a low-priority administrative burden.

 

2 Our Databases Are Poorly Configured

An organization’s CMMS or EAMS should capture the asset value, source of the value, and year of the estimate to establish a baseline for defensible decision-making. All three fields are essential for understanding the context of any rolled-up system valuation and for indicating potential data deficiencies. Additionally, without this information, asset managers cannot accurately adjust for inflation or validate the integrity of their lifecycle cost models.

 

 

3 Asset Managers Have to Work with Accounting

In my experience, most asset managers have their technical roots in engineering and operations. That’s ironic because the traditional driver for asset management is financial accountability.

 

It’s easy to fall into the trap that the physical side doesn’t match up too well with the fiscal side. In practice, there are plenty of examples of that. But that’s not really the deeper issue because most asset managers fully grasp the math of accounting and understand the basics of GAAP (Generally Accepted Accounting Principles).

 

The friction between asset managers and accountants persists because asset managers prioritize future performance and functional risk, whereas accountants focus on historical costs and standardized depreciation. This disconnect is not a result of technical ignorance but rather a mismatch of data application and functional objectives.

 

While an accountant sees a fully depreciated pump as a zero-value item, the asset manager sees a critical node in the system that requires a $50,000 overhaul to prevent a million-dollar outage.

 

Implementation Solution: Asset Value is Equal to Asset Condition

Treating asset valuation as a periodic, standardized engineering process mirrors the rigor of condition assessments and ensures that data remains both defensible and operationally relevant. Like implementing a condition assessment program, key aspects of executing a reliable asset value program include dedicating specific teams to review these values, funding the teams similarly to the condition assessment team, and updating the database every 3 to 5 years. This systematic approach establishes a reliable baseline necessary context for long-term capital planning, risk mitigation, and achieving a fundamental outcome of any asset management program.

 

Solution: R&R Forecast

A Renewal and Replacement (R&R) forecast is a long-term financial projection that identifies when and how much capital will be required to renew (rehabilitate) or replace assets as they reach the end of their useful lives. The forecast serves two purposes: it shows the peaks and valleys of financial needs (which the asset management program can level and show values) and the forecast acts as a stress test for the integrity of the CMMS/EAMS database. Senior management is particularly interested in the first purpose, so getting a mandate from above is not difficult.

 

Asset Value is a Core Component of Asset Management

Asset value is not an optional enhancement to asset management; it is proof that the program matters. If you cannot articulate what your assets are worth today and what it will cost to sustain them tomorrow, senior management has no rational basis for funding, prioritization, or tradeoffs. Treating asset value as a last step in the process or an administrative burden will simply not get the job done. Until you can quantify the value you manage, you are not managing assets, you are simply watching them age.


Need help getting started? JD Solomon Inc. provides practical solutions to align asset values and forecast future operations and capital improvement funding needs.


JD Solomon is the founder of JD Solomon, Inc., the creator of the FINESSE Fishbone Diagram®, and the co-creator of the SOAP criticality method©. He is the author of Communicating Reliability, Risk & Resiliency to Decision Makers: How to Get Your Boss’s Boss to Understand and Facilitating with FINESSE: A Guide to Successful Business Solutions.



Management teams often try to answer different questions despite using what they believe is a common term related to asset life.  There are many ways to express asset life.
Management teams often try to answer different questions despite using what they believe is a common term related to asset life. There are many ways to express asset life.

Understanding how long an asset will remain useful is one of the most fundamental questions in facility, infrastructure, and asset management. Yet it’s also one of the most misunderstood because different disciplines approach the concept from different angles. “Useful life” is a collection of perspectives shaped by engineering, finance, and operations. Getting clear on those perspectives is the first step toward making better decisions.

 

The Big Three

Before we discuss the twelve ways to express asset life, let’s define the three foundational concepts that underpin many of those terms.

 

Mean life is a statistical term used by reliability engineers. It attempts to answer, “Based on a large population, when will the average asset or system fail?”

 

Useful life is an accounting term. It attempts to answer, “At what point does the asset no longer make sense to keep?”

 

Service life is an operations term that frames the actual asset or system life. It attempts to answer the question, “How long will this pump, pipe, vehicle, or control system actually last in service?”



 So, each term reflects a different way of thinking about asset longevity. Which is best depends on situational context. The real-world issue for most management teams is that we are trying to answer a different question. More on that later.

 

12 Ways to Express Asset Useful Life

There are at least 12 commonly used terms for asset useful life across engineering, finance, and operations.

  1. Mean Life (MTTF/MTBF) — statistical average time to failure

  2. Rated Life — manufacturer’s estimate under ideal conditions

  3. Design Life - how long engineers intend for it to last

  4. Expected Life - life predicted under local conditions

  5. Useful Life - economical or financial worthwhile period

  6. Service Life (Actual Life) - how long we can make it last in its operating context

  7. Remaining Useful Life (RUL) - forecast of how much longer it will be useful

  8. Remaining Service Life (RSL) - forecast until the end of physical service

  9. Economic Life (Functional Life) - the time that minimizes the total cost of ownership. (Obsolescence is a form)

  10. Technical Life - maximum time before physical degradation makes operation impossible

  11. Financial Depreciation Life - life defined by tax or accounting rules (e.g., straight-line depreciation schedules)

  12. Warranty Life - period of guaranteed performance or replacement by the manufacturer


Context Matters

One of the best examples from my practice is estimating “remaining useful life” to forecast future renewal and replacement (R&R) needs.

 

In practice, "useful life" (accounting) and "remaining useful life" (engineering/asset management) sound alike but differ conceptually, causing confusion.

 

RUL is a condition‑based estimate of how long the asset can continue to perform its intended function. It’s based on degradation, inspections, performance, and failure modes. RUL is used for maintenance, risk management, and operational planning, but has nothing to do with accounting or depreciation schedules.

 

It’s Critical to Communicate Effectively

It’s important to know the question before you provide an answer. In the real-world, members of management teams are often trying to answer different questions despite using what they believe is a common term (“useful life” in this case).

 

That’s where the first F in the FINESSE Fishbone Diagram® comes in. The Frame establishes the boundary conditions and the key definitions. As with useful life, there is a causal relationship between getting the frame correct and achieving effective results.

 

“A problem well framed is a problem half solved” – George Box.

 

 

Useful Life Requires Systems Thinking

Determining useful life is ultimately a systems-thinking exercise. No single definition or metric can stand on its own without context, and no forecast is meaningful unless everyone involved answers the same question. We reduce confusion and improve outcomes when we take the time to align terminology, assumptions, and decision needs.



Need help getting started? JD Solomon Inc. provides practical solutions to align asset useful life and strengthen your asset management program.

 JD Solomon's work connects technical disciplines with human understanding to help people make better decisions and build stronger systems. Learn more at www.jdsolomonsolutions.com and www.communicatingwithfinesse.com.


Apply the Precautionary Principle if the risks are uncertain but potentially serious: protect first, prove later. JD Solomon Inc. provides practical solutions.
Apply the Precautionary Principle if the risks are uncertain but potentially serious: protect first, prove later.

The Precautionary Principle was born out of the risk and uncertainty associated with humans and the natural environment. Most financial wonks, corporate risk managers, and engineers working in physical processes have likely never heard of it. The idea behind the Precautionary Principle is that we should act to prevent harm before it occurs. Laws and regulations should anticipate harm and prevent it from happening. It is consistent with the adage “better safe than sorry”. It has much intuitive appeal when uncertainty is high, especially if you are on the receiving end of the potential negative impact.

 

The Trouble with the Precautionary Principle

However, there is trouble one layer below the intuitive thought. The Precautionary Principle dictates that indication of harm, rather than proof of harm, should be the trigger for action. This essentially shifts the burden of proof from humans and the environment to those entities that produce, import, or use the substance in question. It requires that those who seek to introduce chemicals into our environment, or risk, must first demonstrate that what they propose to do has been tested and no evidence of harm has been shown.

 

To Wait or Not To Wait?

If this sounds somewhat like the testing of new pharmaceuticals, it is. And this is the tough part. We feel protected by new medications being introduced only after there is a limited risk that they will harm us. However, many people become ill or die as we wait to reduce uncertainty.

 

Example: PFAS

In the environmental sector, per- and polyfluoroalkyl substances (PFAS), which have been chemically produced by man since the 1940s, have the potential to improve our quality of life. They are found in many products ranging from stain-repellent fabrics, water-repellent clothing, nonstick cooking pans, polishes, waxes, paints, and cleaning products. In commercial sectors and industrial sectors, PFAS compounds are used in fire-fighting foams, electronics manufacturing, chrome plating, and other production processes.


PFAS compounds have the potential downsides, including adverse health effects. While their advantages include being resistant to heat, water, and oil, PFAS compounds do not break-down easy in nature (they are considered “persistent”) and they tend to accumulate in living humans, animals, and plants.


The list of new products and the underlying chemical compounds is growing exponentially. The downside is that testing, or regulation, cannot keep up with them individually. And in combination with one another, well, forget about it. USEPA is one good source on the thousands of contaminants of emerging concern and the associated challenges with addressing them.

 

More Dynamic Than Static

So “better safe than sorry” only addresses a high-level aspect of dealing with risk and uncertainty. Fine points such as “by how much” and “in what combination” are necessary considerations. So is the nemesis of all Small World, static-thinking risk managers – time, and timing. Risk and uncertainty are indeed more dynamic than static.

 

What Does It Mean?

What does the Precautionary Principle mean to us in a world full of both measurable risks and immeasurable uncertainties? Here are five thoughts.

 

The Right Thing Is Often Obvious

First, there are certain things we should do and others we should not. Doing the right thing is often obvious. Forget about too much optimization. Forget about saving your job, making money, or leaving too much sunk investment on the table. As Abraham Lincoln said, “firmness in the right, as God gives us the ability to see the right.”

 

Uncertainty is Dynamic

Second, it is easy to be a risk expert and a key advisor when thresholds of harm or regulatory action levels have been set. Setting the thresholds of harm and regulatory action levels is the hard part. In a Small World, expectations and objectives can be measured by compliance. In Large Worlds full of uncertainty, the expectations and objectives occur in a very dynamic environment.

 

“Risk-Based” Is Best for Prioritization

“Risk-based” is not all that it has promoted to be. It is an approach, best used for prioritization, with the underlying working assumption that some things are more important than others. A risk-based approach does not provide assurance that the right thing is being done. A risk-based approach simply assures that the right thing is being done for and by those making the decisions.

 

Context Matters

Context matters. In Small Worlds, we must take the time and make the effort to test, measure, and do quantitative analysis. In Large Worlds, there will always be complexity and uncertainty that cannot be measured, modelled, and understood. Good judgment and expertise in dynamic decision making is required.

 

Don’t Be Tone Deaf

Fifth, have empathy. Think less from the perspective of the numbers and the risk assessment, and more from the perspective of your family and friends having to drink the water, breath the air, or ingest the product. The Voice of the Customer, as we cite in manufacturing and quality circles, should be more than superficially getting the end user to be satisfied for some short period of time.

 

Applying the Precautionary Principle

When looking backwards, after the fact, and when knowledge is perfect, the Precautionary Principle may appear to be illogical or irrational. When looking forward in Large Worlds full of uncertainty, the principle has a more solid foundation. How much do you really believe the fancy models and even your own forecasts? Would you bet the lives of the people you care most about on them? The most illogical or irrational thing that we can do is not live to fight another day.


 

 Much can be learned from different practice areas related to approaches for dealing with risk and uncertainty. For more on the roots of the Precautionary Principle, see Sandra Steingraber’s classic Living Downstream: An Ecologist's Personal Investigation of Cancer and the Environment.


 

This article was first published by JD Solomon on LinkedIn.

Solomon, J. D. (2018, October 3). Risk and uncertainty: The precautionary principle. LinkedIn. https://www.linkedin.com/pulse/risk-uncertainty-precautionary-principle-jd-solomon



JD Solomon writes and consults on decision-making, reliability, risk, and communication for leaders and technical professionals. His work connects technical disciplines with human understanding to help people make better decisions and build stronger systems. Learn more at www.jdsolomonsolutions.com and www.communicatingwithfinesse.com.


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