A technician may know an asset is failing, but not have its full repair history. A planner may schedule preventive maintenance, only to discover the necessary spare part is unavailable. An operations leader may see downtime rising without a clear view of which assets, failure patterns or maintenance decisions are driving the problem.

EAMS software helps bring those pieces together. It gives organizations a more reliable way to manage their physical assets, plan maintenance work and make decisions before issues turn into costly interruptions.

What is EAMS software?

EAMS stands for Enterprise Asset Management System. EAMS software is used to manage the lifecycle and performance of physical assets, including equipment, facilities, fleets and infrastructure.

It creates a shared source of information for asset history, maintenance work, preventive plans, spare parts, condition data and operational performance. Rather than relying on disconnected spreadsheets, paper records or individual knowledge, teams can see what work has been completed, what is coming due and where the greatest risks sit.

For a broader introduction to the concept, read our guide to what an EAMS is⁠.

What does EAMS software actually do?

At a practical level, EAMS software helps maintenance and operations teams manage the work required to keep assets available, safe and productive.

Its core functions typically include:

• Asset records and history: Centralizing asset details, maintenance history, criticality and location.
• Work-order management: Creating, assigning, prioritizing and closing maintenance work with consistent information.
• Preventive maintenance: Scheduling work based on time, runtime, condition or risk, rather than waiting for a failure.
• Spare-parts control: Tracking inventory, demand and usage so missing parts do not prolong downtime.
• Condition and performance monitoring: Using asset data to spot recurring issues and emerging risks.
• Reporting and analysis: Giving leaders clearer information about backlog, downtime, maintenance costs and asset performance.
• Mobile execution: Allowing teams to access and update information while they are working in the field or on the plant floor.

The point is not to add another system for technicians to update. The point is to give every maintenance decision a stronger foundation.

Why does EAMS software matter?

When asset information is incomplete or difficult to access, maintenance becomes reactive by default. Teams spend their days responding to urgent requests, tracking down history, looking for parts and trying to recover from the last failure.

That cycle is expensive. It creates more unplanned downtime, higher overtime costs, inconsistent work quality and less time for the maintenance activities that actually improve reliability.

EAMS software helps interrupt that cycle. It gives organizations the visibility to identify critical assets, plan work more effectively, understand recurring failure patterns and allocate resources where they will have the greatest operational impact.

For operations leaders, that can mean fewer interruptions and more predictable production. For maintenance teams, it means better planning and less time spent chasing information. For the business, it means greater control over reliability, cost and productivity.

EAMS software is more than a work-order system

A work-order tool can help teams track tasks. An EAMS goes further by connecting those tasks to the assets, processes, risks and performance outcomes behind them.

That distinction matters. Closing a work order does not necessarily mean an asset is becoming more reliable. Replacing a component does not automatically address the cause of repeat failures. A good EAMS helps organizations see the bigger picture: what is failing, why it is failing, what it is costing and what should change.

This is especially important for organizations with multiple sites, large asset bases or assets that have a direct effect on production, safety and customer service.

When is it time to consider EAMS software?

Organizations usually begin looking for an EAMS when one or more of these issues becomes difficult to manage:

• Unplanned downtime is affecting production targets.
• Maintenance work is being managed through spreadsheets, paper or disconnected systems.
• Equipment history is incomplete or depends on the experience of a few people.
• Preventive maintenance is often delayed or missed.
• Spare-parts availability is creating unnecessary delays.
• Leaders cannot clearly see maintenance backlog, costs or asset performance.
• Different sites are working in different ways, making improvement difficult to scale.

The goal is not simply to digitize an existing problem. It is to build a more disciplined and informed maintenance operation.

What should you look for in EAMS software?

The best EAMS software is not necessarily the system with the longest list of features. It is the one that supports the way your organization needs to manage its assets and helps your teams make better decisions over time.

Look for a system that can support your asset hierarchy, maintenance strategy, workflows and reporting needs. It should be practical for technicians to use, flexible enough to work across sites and able to integrate relevant operational or IIoT data where needed.

Just as importantly, consider the implementation process. A successful EAMS project depends on more than software configuration. It requires reliable asset data, clear processes, trained users and accountability after the system goes live.

Turning EAMS software into better performance

At Pragma, EAMS software is part of a broader reliability and asset-management approach. Technology should support better maintenance execution, stronger planning and more informed operational decisions. It should not become another disconnected platform.

On Key, Pragma’s EAMS platform, supports maintenance planning, work management, spare-parts control, condition monitoring, performance analysis and mobile execution. Pragma also supports organizations through assessment, process design, implementation, training and ongoing improvement.

The objective is simple: reduce the chaos of reactive maintenance and create an operation where assets can perform more reliably.

Want to understand what an EAMS could improve in your operation? Contact us to start the conversation.

The post EAMS Software: What It Is, How It Works and Why It Matters first appeared on Pragma Américas.

Ensuring that a business is sustainable is essential for executives. In this article, sustainability means a company’s ability to adapt quickly to change. This adaptability can help a business survive difficult times. Asset Management.

Responding to a changing environment involves more than firefighting or addressing operational problems as they arise. It means having a system in place that continually assesses and adapts to what may happen in the future.

Consider a company that manufactures aluminum beverage cans. Its plant is designed to operate with exceptional efficiency. Aluminum is imported from Europe at a high cost. Waste must be avoided, and the plant must achieve high levels of productivity, quality, and precision.

Adaptability and sustainability in an era of rapid change

The entire plant is designed to produce a single product: the fixed-format can its customers require. All targets are being met, but then the environment changes. The government introduces a sugar tax. Suddenly, larger cans become obsolete, and customers need slimmer cans. The entire manufacturing operation must change to accommodate the new format.

The company’s full value chain must be ready to respond to an event like this. That includes the team monitoring market demand, the team assessing the impact on production, and the engineering team responsible for managing assets and making engineering decisions. It also extends to distribution and procurement.

What ultimately becomes a balance sheet and cash flow decision must be informed by a range of considerations across the value chain, balancing cost, performance, and risk. It cannot simply be a knee-jerk response. That is crisis management: it may work temporarily, but it will not create a sustainable competitive advantage. Change is a reality that must be planned for. With the Fourth Industrial Revolution, change is reaching organizations much faster than in the past.

Sustainability comes from systematic practices that enable a company to respond to events without turning them into crises. These practices are supported by an enterprise asset management plan: a plan that enables a rapid response to change without excessive risk by ensuring that appropriate processes, enabling technologies, and skilled people are in place.

Getting there is a journey in which processes, technologies, and people’s capabilities become progressively more mature. At Pragma, we call this the Enterprise Asset Management Roadmap.

Getting the fundamentals right

Level 1 of the roadmap covers the fundamentals of maintenance management, with a focus on basic process discipline. This includes creating and maintaining an asset register, complying with health and safety requirements, managing contractors, and administering spare parts. The processes governing every aspect of maintenance management need to be standardized and systematic.

A major national food retailer provides a useful example of process control. It operates more than 1,000 stores across the country, each with refrigerators for perishable products. If each store independently appoints a contractor to repair its refrigeration equipment, contractor rates, quality, and responsiveness can vary widely. By standardizing service level agreements (SLAs) and contractor rates, the company saved millions of South African rand each year and established a consistent process to follow when a refrigerator breaks down.

This stage also involves establishing suitable technology platforms that are well integrated and flexible enough to adapt as processes change. In the example above, reducing overall downtime and improving the quality of refrigeration repairs would require integrated platforms that support more efficient processes.

An Industrial Internet of Things (IIoT) platform integrated with the enterprise asset management system (EAMS) would enable the retailer to collect sensor data from all its refrigerators. The data could then be processed to generate work orders and drive the completion of repairs. To ensure repair quality, a specialist field service engineer would receive alerts to verify that the work had been completed to specification. The engineer would need access to information and real-time refrigerator performance data while on site.

Organizations often try to meet these requirements through quick fixes and ad hoc implementations that become someone’s personal project. Without mature, flexible, well-integrated platforms, making such an approach sustainable requires costly custom development.

Zero unplanned downtime

The second level of the roadmap focuses on systems reliability. At this stage, technical analysis and planning improve equipment performance and support decision-making. The outcome is zero unplanned downtime, achieved by investigating and eliminating the causes of equipment failure rather than repeatedly addressing its consequences.

Technical analysis requires data that accurately describes the reliability problem, together with the right analytical tools.

Some of this can be achieved through manual data collection and extensive number-crunching in Excel. However, high-quality analysis to prevent failures requires comprehensive datasets and appropriate tools. An analytics platform integrated with an EAMS, IIoT, and other platforms can complement human intelligence and problem-solving capabilities.

Industry 4.0 is about eliminating process inefficiencies. Slow, disconnected technical analysis processes will soon no longer be sufficient.

Achieving sustainability

The third and final level of the roadmap leads to true enterprise asset management. At Pragma, we have developed principles and processes that help organizations build this capability. When companies achieve the outcomes at this level, they gain a sustainable competitive advantage.

Here, companies implement and consolidate the major requirements of compliance, management, and development, including environmental and safety risks, asset life cycle costing, and genuine business partnerships. The necessary capabilities are in place, reporting is fully operational and compliant, and capital allocation and life cycle cost decisions are made effectively.

A company at this level of maturity has the information, structures, and systems it needs to remain agile and responsive to a changing environment.

Data is rapidly becoming a valuable organizational asset. Greater availability and accuracy of asset-related data improve decision-making, policy development, strategy selection, and reporting. This adds significant value to systems reliability and enterprise asset management processes.

When organizations make use of the greater availability of data from well-integrated technology platforms, artificial intelligence (AI) can analyze information and make some decisions on their behalf. This frees human intelligence to focus on problems requiring innovation and creativity—capabilities that cannot yet be automated.

Making use of technological progress to strengthen enterprise asset management today will play a critical role in protecting your competitive advantage and keeping your organization ahead in the future. The tools are available, but they must be used.

Contact us for more information. 

We are part of Pragma World

The post Asset Management as a Competitive Advantage first appeared on Pragma Américas.

Today, organizations operate in an environment of rising costs, supply chain uncertainty, increasing regulatory requirements, and growing pressure to improve productivity. In this context, asset management is no longer simply about maintaining equipment—it is about enabling better business decisions.

Every investment in physical assets affects financial performance, operational resilience, and long-term competitiveness. As a result, asset management has become a strategic capability that reaches far beyond the maintenance department.

Every department influences asset performance

Asset-intensive organizations often assume that maintenance alone determines equipment reliability. In reality, the performance of an asset is shaped by decisions made across the business.

Finance determines how capital is allocated and which investments receive funding. Procurement influences equipment quality, supplier relationships, and the availability of critical spare parts. Human Resources is responsible for recruiting, developing, and retaining the technical skills needed to operate and maintain increasingly sophisticated assets.

Operations plays an equally important role. Even well-maintained equipment will experience premature failures if it is operated outside its intended parameters or if production priorities consistently override maintenance requirements.

Information Technology has also become a key contributor. Modern asset management depends on accurate data, connected systems, cybersecurity, and digital tools that support informed decision-making.

 

When these departments work independently, organizations often optimize individual functions instead of overall business performance.

Breaking down organizational silos

One of the biggest barriers to effective asset management is organizational misalignment.

Procurement may focus on minimizing purchase costs, while maintenance prioritizes reliability. Operations may push for maximum production, even when preventive maintenance is overdue. Finance may reduce maintenance budgets without fully understanding the long-term impact on asset condition and operational risk.

None of these decisions are inherently wrong. Each department is pursuing legitimate objectives. The problem arises when those objectives are not aligned around a common business strategy.

Successful organizations recognize that asset management requires collaboration. Decisions about maintenance, investment, operations, technology, and risk cannot be made in isolation because every choice influences performance, cost, and reliability elsewhere in the organization.

Aligning asset management with business objectives

The most effective asset management strategies begin with the organization’s broader goals.

Is the priority to increase production capacity? Extend asset life? Improve safety? Reduce operating costs? Support sustainability initiatives? The answers to these questions should shape maintenance priorities, capital investment decisions, workforce planning, and technology adoption.

This alignment also improves decision-making. Rather than reacting to equipment failures or budget constraints, organizations can evaluate trade-offs based on long-term value creation. Investments become easier to justify because they are linked to measurable business outcomes instead of isolated maintenance activities.

The AMIP 5 framework reflects this broader perspective by assessing not only technical practices but also the organizational capabilities that support asset performance, including strategy, risk management, technology, people, information, and contractor management. Its objective is to help organizations understand how these interconnected areas contribute to overall business performance.

Looking beyond the maintenance department

Organizations that consistently outperform their peers understand that asset management is not an operational expense to be controlled—it is a strategic capability to be developed.

When finance, operations, procurement, IT, engineering, and executive leadership share a common understanding of asset management priorities, organizations make better investment decisions, reduce operational risk, improve reliability, and create greater long-term value from their assets.

The conversation has evolved. Asset management is no longer simply about fixing equipment. It is about creating an organization where every function contributes to the performance, resilience, and sustainability of the business.

The post Asset Management Is a Business Strategy—Not Just an Engineering Function first appeared on Pragma Américas.

The true cost of reactive maintenance extends far beyond the repair itself.

When equipment fails unexpectedly, production may slow or stop entirely. Technical teams work overtime, urgent parts are purchased at a premium, and planned maintenance is postponed to address the emergency. Customer commitments may be affected, safety risks can increase, and employees begin operating in a constant state of urgency.

Over time, this reactive pattern becomes normalized. Teams become highly skilled at responding to crises, but the organization remains trapped in firefighting mode.

The warning signs of a reactive environment

Reactive maintenance does not always begin with a major breakdown. The warning signs often appear gradually.

Maintenance backlogs grow. Emergency work becomes more frequent. Technicians spend excessive time searching for tools, materials, or information. Scheduled work is regularly interrupted. The same failures recur because teams address the immediate problem without identifying the underlying cause.

Overtime is another important signal. In a well-planned environment, most maintenance work can be prepared and scheduled during normal working hours. In a reactive organization, extended shifts and urgent callouts become common because teams are constantly responding to unplanned events.

These inefficiencies have a direct impact on operating costs and workforce capacity. An organization may conclude that it needs more technicians when the real problem is poor planning, weak coordination, or low labour utilization.

Why technology alone cannot solve the problem

Many organizations attempt to improve maintenance performance by investing in new technology.

Sensors, online monitoring, artificial intelligence, predictive analytics, and advanced maintenance software can all provide valuable insights. However, technology cannot compensate for weak fundamentals.

A predictive system may identify that a component is likely to fail, but the organization still needs an effective process to plan the intervention, secure the necessary parts, schedule the work, and execute it on time. Without these capabilities, the warning simply becomes another item in an already overloaded system.

The AMIP 5 report highlights a concerning trend. Across more than 250 assessments, Maintenance Work Management maturity declined by approximately 16% between 2013 and 2024, while the associated performance measure fell by 36%. The report notes that organizations have often focused on high-profile topics such as digitization and predictive tools while paying less attention to core maintenance practices.

AMIP-5-Launch-Report.pdf

Technology is most effective when it strengthens a mature process. It is far less effective when it is introduced into a reactive environment without addressing the underlying operating model.

Strengthening maintenance work management

Sustainable improvement begins with the basics.

Maintenance work management includes identifying, prioritizing, planning, scheduling, executing, and reviewing maintenance activities. Each stage must work effectively for the overall process to deliver value.

Good planning ensures that technicians arrive with the correct information, tools, materials, and permits. Effective scheduling coordinates maintenance with production requirements and available resources. Strong execution practices improve safety, quality, and productivity. Post-work reviews help identify recurring problems and refine future plans.

Spare-parts visibility is equally important. When critical materials are unavailable, planned work is delayed or assets remain offline for longer than necessary. Better integration between maintenance, procurement, and inventory management reduces this risk.

People also matter. An organization may have strong processes and systems but still experience weak performance because employees lack the required competencies or do not consistently follow established practices. In these cases, additional technology may deliver limited value, while targeted training and clearer accountability could produce a much greater improvement.

From firefighting to prevention

The goal is not to eliminate every unexpected failure. That is rarely realistic. The goal is to create an environment in which emergencies are the exception rather than the operating model.

Organizations must first understand their current maturity, identify the practices that are limiting performance, and prioritize the interventions with the greatest potential impact.

Reactive maintenance is expensive because it consumes resources without building long-term capability. Preventive and optimized maintenance, by contrast, allows organizations to use their people, systems, and assets more effectively.

Before investing in the next technology platform, organizations should ask a more fundamental question: are the maintenance basics strong enough to turn better information into better performance?

The post The Hidden Cost of Reactive Maintenance first appeared on Pragma Américas.

The problem is not the assessment itself. The problem is treating it as an audit rather than as a strategic tool for improvement.

An audit can confirm whether policies, processes, and controls are in place. It can identify missing documentation or areas of non-compliance. Those findings are important, particularly in regulated and asset-intensive industries. However, they do not necessarily explain whether current asset management practices are improving reliability, reducing costs, controlling risk, or supporting the organization’s broader business objectives.

A valuable assessment must go beyond asking whether an organization is doing the right things. It must also determine whether those practices are producing the expected results.

The limitations of the traditional audit mindset

Traditional assessments tend to focus on a relatively narrow set of questions. Is there an asset management policy? Are maintenance procedures documented? Are responsibilities defined? Does the organization comply with the relevant standards?

These questions establish whether the foundations exist, but they provide only part of the picture. An organization may have excellent policies that employees do not consistently follow. It may have sophisticated systems that are poorly configured or underused. It may have introduced preventive or predictive maintenance tools without first developing strong planning, scheduling, and work execution practices.

In each of these cases, the organization could perform well in an audit while continuing to experience downtime, unnecessary costs, recurring failures, or operational risk.

This creates what can be described as the illusion of compliance: the organization appears mature on paper, but its business performance tells a different story.

A more effective assessment must examine both sides of the equation. It must evaluate the maturity of the organization’s asset management practices and compare that maturity with measurable performance indicators. Only then can leaders determine whether their investments in people, processes, systems, and technology are delivering value.

From pass or fail to a maturity journey

One reason conventional audits struggle to support continuous improvement is that they often present findings as binary. A requirement is either met or not met. A process is either in place or absent.

Asset management maturity is more complex.

Organizations usually progress through several stages. At the lowest level, teams operate in a firefighting environment, responding to failures and urgent requests as they arise. As the organization stabilizes, it begins introducing repeatable processes and gaining greater control over its activities. It can then move toward preventing problems, optimizing resources, and eventually achieving a level of excellence characterized by integrated decision-making and continuous improvement.

The AMIP 5 framework describes five levels of maturity: Firefighting, Stabilising, Preventing, Optimising, and Excellence. This scale allows organizations to establish where they are today and identify a realistic next stage instead of pursuing an abstract or unattainable version of best practice.

This distinction matters because not every organization needs to reach the highest maturity level in every area. The appropriate target depends on business strategy, asset criticality, risk exposure, financial resources, and operational priorities.

The goal is not to achieve the highest possible score. The goal is to develop the capabilities required to deliver the organization’s desired outcomes.

Connecting asset management practices to performance

A strong assessment should reveal the relationship between capability and results.

Consider an organization with a documented maintenance planning process, defined work procedures, and a modern computerized maintenance management system. These may appear to be signs of maturity. However, if technicians continue to spend excessive time waiting for materials, searching for information, or responding to emergency work, the organization is not receiving the expected value from those practices.

The root cause may not be the maintenance system itself. It could be poor scheduling, inadequate training, inconsistent compliance, unreliable asset information, or weak coordination between maintenance, operations, and procurement.

Without comparing practices with performance, the organization may invest in the wrong solution. It might purchase additional technology when the real need is stronger competency development. It might redesign a process when the actual problem is a lack of discipline in execution. It might cut maintenance expenditure without understanding the increased risk of downtime or premature asset replacement.

AMIP addresses this challenge by assessing asset management through interconnected layers. The framework includes 20 key performance areas, 170 best practices, 58 key performance indicators, and approximately 3,800 verification points. Together, these elements help translate broad requirements into tangible and measurable criteria.

The result is not simply a list of gaps. It is a clearer explanation of why performance may be falling short and which interventions are most likely to improve it.

An assessment should create organizational alignment

Asset management is often treated as the responsibility of maintenance or engineering. In reality, asset performance is influenced by decisions made across the organization.

Finance determines how capital is allocated. Procurement influences spare-part availability and supplier performance. Human resources affects technical capability, recruitment, and succession planning. Information technology supports data quality, cybersecurity, automation, and digital tools. Operations determines how assets are used and whether operating conditions remain within acceptable limits.

Each function may be working toward legitimate objectives while unintentionally undermining another department. Procurement may prioritize the lowest purchase price while maintenance needs greater reliability or shorter lead times. Operations may focus on maximizing production while delaying essential maintenance. Finance may reduce budgets without visibility into the long-term effect on asset condition and operational risk.

An effective assessment creates a common reference point for these stakeholders. It gives them a shared view of current capabilities, performance gaps, priorities, and trade-offs.

This internal alignment is one of the most valuable outcomes of the assessment process. It helps the organization move away from isolated departmental decisions and toward a coordinated strategy that balances performance, cost, and risk.

Turning assessment findings into an executable roadmap

The ultimate measure of an assessment is not the quality of the final report. It is what the organization does next.

A useful assessment should help leaders answer four practical questions:

Where are we today?

Which gaps have the greatest effect on performance?

What should we improve first?

How will we measure whether the intervention worked?

This requires more than general recommendations. Improvement actions must be prioritized according to business value, urgency, dependencies, available resources, and the organization’s current maturity. Teams must also understand the recommendations and have ownership of the resulting roadmap.

This is why AMIP is positioned as an improvement-planning methodology rather than a standalone audit. The process benchmarks current maturity and performance, identifies the practices that require attention, and supports the development of a prioritized improvement plan. It can be delivered as a high-level, focused, or deep-dive assessment depending on the organization’s needs.

Regular reassessment then provides a reliable way to measure movement over time. Organizations can determine whether initiatives are delivering the expected performance gains, whether improvements are being sustained, and whether priorities need to change.

The report illustrates this value through an international mining company operating across 14 operations, six countries, and three languages. Between two assessments conducted two years apart, the organization recorded a 23.5% improvement in the maturity of its people, processes, and systems, accompanied by a 27.6% improvement in performance.

AMIP-5-Launch-Report.pdf

Moving from compliance to measurable value

Asset management assessments should not be exercises that organizations complete and then repeat several years later with little visible progress. They should provide a baseline for decision-making, investment prioritization, organizational alignment, and continuous improvement.

The difference lies in the questions being asked.

A traditional audit asks whether the required elements exist. A strategic assessment asks whether those elements are appropriate, consistently applied, and delivering the intended results.

Organizations that make this shift gain more than a maturity score. They gain an objective view of their current capabilities, a clearer understanding of performance barriers, and a roadmap for improving reliability, cost efficiency, risk management, and long-term asset value.

The real value of an assessment is not knowing where the organization stands today. It is knowing what to do next.

The post Why Most Asset Management Assessments Fail to Deliver Business Value first appeared on Pragma Américas.

The post Predictive Accuracy: How Condition Monitoring Transforms Maintenance Strategies in Industry 4.0 first appeared on Pragma Américas.

Some may see this as a semantic issue, but in the opinion of Tim Beavon, expert at Pragma Academy, it is most likely the root cause of the problem: “We set our planners and schedulers up for failure and then act surprised when they fail because we did not properly establish the maintenance work management process from the start.”

Maintenance planning and scheduling involve multiple stakeholders who often overlook how their actions impact planners and schedulers. Recognizing the broader work management issue, rather than just a planning and scheduling problem, is key.

“Maintenance work management is about doing the right work, at the right time, with the right resources, in the right way,” shares Tim Beavon.

Principles of Maintenance Planning and Scheduling

In the Maintenance Planning and Scheduling Handbook, Doc Palmer defined twelve principles of planning and scheduling that we often overlook in our enthusiasm and focus on planner and scheduler activities.

Palmer’s principles should be embedded in the mindset of reliability engineers, engineering managers, section engineers, and maintenance supervisors across the industry. These are principles over which planners and schedulers often have little control, yet they are fundamental to their success.

The Importance of the Weekly Scheduling Meeting

We know that the planner should focus on future work, while the maintenance supervisor should manage the present day—or the schedule.

Planners are often pulled away from future work due to interruptions and distractions that can—and should—be handled by the maintenance supervisor. Everything from spare parts not arriving on time to contractors failing to complete site access requirements, such as COVID-19 screening, becomes the planner’s problem. This often happens simply because the planner originally identified the need for the spare part or contractor.

The purpose of the weekly scheduling meeting is to ensure that the plan is realistic and practical, and that all arrangements and logistics for spare parts and contractors have been addressed. Once the maintenance supervisor is satisfied that everything is in order, they should take ownership of executing the agreed schedule for the week. Many organizational processes fail to account for these factors, making it all too easy for planners to be pulled into resolving current-week scheduling issues.

Skills of an Ideal Planner

Do you promote your best technicians and supervisors into planning roles? Planners should be problem-solvers within the plant, leveraging their hands-on experience to ensure that the right work is done in the right way. This commitment to quality and doing the job properly is what makes them so valuable.

Developing skilled tradespeople for planning roles leverages that expertise across multiple technicians—often multiplying its impact across teams.

The planner must understand trade skills, while the scheduler should assign work to the lowest appropriate skill level.

The planner is responsible for defining what needs to be done, while the maintenance supervisor is responsible for how the work is executed. It sounds simple, but consider the impact of reliability engineers, maintenance managers, or section engineers when defining the tasks to be carried out.

Reliability engineers can analyze asset types in isolation, using tools and techniques to determine precisely which tactical maintenance should be performed. However, they do not always consider the available skill levels within the organization, such as what tasks can be performed by apprentices versus fully qualified tradespeople.

By clearly distinguishing skill requirements, we provide planners and schedulers with the flexibility to allocate work effectively—utilizing apprentices where appropriate and freeing up experienced personnel for precision work, rapid response to critical failures, and root cause analysis.

Work Prioritization

Priorities matter, and the maintenance supervisor is responsible for day-to-day execution. While assigning priority is an important aspect of the planner’s role, alignment between the planner and the maintenance supervisor is critical when determining work priorities.

Maintenance supervisors are the first point of contact for operations when issues arise in the plant. Their role is to prioritize work within the current scheduling period to ensure that tactical maintenance is executed as planned, while allowing the planner to manage as much forward-looking work as possible.

When plannable work is executed within the current schedule instead of focusing on tactical maintenance, plant reliability suffers.

Conclusion

Maintenance work management goes beyond planning and scheduling. It requires assessing which roles throughout the process contribute to challenges in accomplishing work effectively.

At Pragma, we address unique asset management needs by designing tailored strategies and delivering integrated solutions. The key takeaway is that continuous improvement is supported by understanding specific organizational challenges and creating solutions that address them. Learn more on our website.

The post The Importance of Maintenance Work Management first appeared on Pragma Américas.

A quick online search for the main reasons why Enterprise Asset Management System (EAMS) implementations fail reveals a wide range of causes such as insufficient training, inadequate vendor support, scalability issues, and more. However, it is rare to find mention of a fundamental issue: the software does not support the business processes. Yet, this is one of the most common problems—often disguised in different forms.

The Importance of Business Processes in Asset Management Systems

A business process is defined as a collection of structured, related activities or tasks that produce a specific service or product (serving a particular objective) for a specific customer. It can often be visualized through a flowchart as a sequence of activities. The key point is that these activities are carried out in a way that supports a broader purpose or objective.

From an asset management perspective, the most critical principle in ISO 55000 and its predecessor PAS 55 is the alignment between asset management objectives or strategies and overall organizational goals.

In the context of an EAMS that supports business processes, why do contracts and system requirements typically include long, exhaustive lists of functions and features rather than a detailed explanation of the business processes and activities the system must support? This is usually because business processes are not as easy to define as functionality, are often undocumented, and are not widely understood as the true drivers of value.

The Lack of Focus on Business Processes in EAMS Selection

The real value of your EAMS selection is realized when the system optimizes your business processes in support of your asset management objectives. The role of an EAMS can be summarized in two primary benefits:

• Automation of business processes, such as work order scheduling
• Feedback on how effectively those processes are performing, such as backlog management

Additional benefits of well-defined asset management business processes in relation to your EAMS include:

• Linking the EAMS to strategy and best practices
• Defining the required outcomes of the EAMS
• Ensuring data integrity
• Enabling effective user training
• Supporting robust change management

Selecting and Implementing the Right EAMS

How do you select and implement the right EAMS for your organization? First, you must find a provider that understands asset management as well as your organization’s context and industry. This provider should be able to help assess your current asset management environment and support the development of an asset management plan aligned with your asset management and information strategy. This plan should clearly define the business processes that need to be established and optimized.

The implementation and configuration of the EAMS should be carried out in support of these business processes and the overarching strategy—not in isolation. Change management must be a key component of this process, ensuring a clear line of sight between the EAMS implementation and the organization’s strategic objectives.

Do not simply purchase and install an EAMS—implement it as part of a comprehensive asset management improvement process.

Pragma Products and Services

Pragma offers a range of products and services, including the On Key EAMS software, asset management business processes, asset management assessments, and roadmap consulting, as well as comprehensive asset management training programs. These offerings are effectively integrated to deliver end-to-end asset management solutions for your organization.

The post Is the EAMS Software Not Working, or Are My Processes Not Optimized? first appeared on Pragma Américas.

Management teams need to make fact-based decisions supported by reliable Key Performance Indicators (KPIs). In medium-sized and large organizations operating across multiple countries and industries, consistent performance evaluation is often a significant challenge for executives.

Organizations with a history of mergers and acquisitions face additional complexities in standardizing performance measurement, as individual business units may already have their own KPI frameworks in place.

A structured approach to developing and implementing an Asset Management (AM) Scorecard can help position an organization for long-term success.

The Approach

Successful Asset Management Scorecard initiatives balance the short-term need to track quick wins with the implementation of a comprehensive set of Asset Management KPIs. These indicators must be capable of monitoring progress against strategic objectives and driving the desired behaviors throughout the organization.

Effective change management plays a critical role in addressing resistance to change and embedding performance measurement into the operational culture.

A structured approach supports organizations transitioning toward a new and improved set of KPIs. Figure 1 illustrates this approach.

Figure 1. Structured Approach to Asset Management Scorecard Development and Implementation

Assessing Current Key Performance Indicators (KPIs)

Organizations without performance measurement systems are rare today. However, an organization’s existing set of KPIs should be regularly reassessed, particularly at the beginning of an Asset Management improvement initiative, such as the development of an updated AM Scorecard.

Before attempting to change the metrics used to track or monitor performance, Asset Management professionals must first understand the KPIs currently in use.

These indicators are often deeply embedded in an organization’s culture. Existing KPIs can either support implementation—for example, by adopting effective indicators across business units and sites—or become barriers to introducing a new scorecard.

Key KPIs should be reinforced to support quick wins. Indicators that could hinder implementation must be identified early, allowing Asset Management professionals to develop an appropriate strategy for managing the required changes.

KPIs linked to employee incentives, particularly those involving unionized workers, require proactive stakeholder engagement.

Assessing the current KPI framework should also be viewed as an opportunity to engage stakeholders and gather firsthand feedback on what is working effectively and what needs to be changed or improved.

This engagement should take place across multiple organizational levels and all affected functions.

Investing time in this activity delivers significant benefits during the subsequent development and implementation stages. However, stakeholder engagement alone does not replace a comprehensive change management strategy.

Designing Key Performance Indicators (KPIs)

Once the existing KPIs are understood, they can serve as a starting point for stakeholder discussions aimed at defining the Asset Management Scorecard that will drive performance. An Asset Management framework, as illustrated in the figure below, is recommended for identifying gaps within the existing KPI structure.

Before developing the KPI framework, both organizational and Asset Management objectives must be clearly defined and documented.

Every KPI included in an Asset Management Scorecard must align with these objectives, regardless of the framework used to evaluate and define performance indicators.

KPIs should be developed across three organizational levels:

• Strategic level: Senior management and executive leadership.

• Tactical level: Middle management.

• Operational level: Frontline teams and operational personnel.

Individuals and teams must be evaluated using KPIs whose outcomes they can directly influence.

When designing a KPI framework, the maturity of business processes must also be considered to ensure that the indicators are practical and achievable.

Introducing advanced performance measures into immature business processes or functions can significantly hinder stakeholder adoption.

All designed KPIs must be formally documented, including their definitions, calculation formulas, reporting frequency, and data sources.

Development Stage

Defining a set of KPIs is only one part of preparing to implement an improved Asset Management Scorecard.

Further development is required to make the indicators established in the previous stage operational and measurable.

Asset Management professionals must determine how KPIs will be reported, what performance targets should be established, and how the supporting information will be managed.

These development activities are explored in the following sections.

Scorecard and Reporting Development

Numerous reporting and Business Intelligence (BI) tools are available today, providing organizations with platforms for configuring reports, dashboards, scorecards, and data analytics.

In large organizations, these tools should be leveraged to standardize and automate performance reporting.

Labor-intensive, Excel-based reporting processes should be avoided wherever possible, as they often struggle to deliver timely information and may be vulnerable to manual manipulation.

Selecting the appropriate software platform is a critical success factor in implementing an Asset Management Scorecard.

The desired functionality should be the primary consideration when evaluating available software solutions.

Failing to make effective use of existing software capabilities can lead organizations into months of unnecessary custom development and end-user frustration.

Asset Management professionals should consider the following factors when selecting a software solution or reporting platform:

• Ease of developing and generating reports and dashboards.

• Ability for power users to configure dashboards and reports.

• Integration capabilities with existing information systems, including ERP, MES, EAMS, and SCADA. Integration through multiple protocols and platform independence are highly desirable.

• Automated reporting and alerts.

• System scalability.

• Mobile functionality.

• Easy access to information from any device.

• Technical support and an active developer community.

Once an Asset Management performance reporting platform has been selected, dashboards should be configured to support performance monitoring at executive, middle-management, and operational levels.

Each dashboard must be optimized to present only the information relevant to its intended users.

It is essential that all dashboards and scorecards provide a single source of truth, ensuring consistency and alignment across data sources and calculations.

Established Asset Management software solutions, such as On Key Insights, address the requirements outlined above.

A key differentiating factor is often the service provider’s ability to translate business requirements into an effectively configured and implemented system.

Figure 2. On Key Insights dashboard providing an operational view of Work Management KPIs and work distribution.

Figure 3. On Key Insights Reliability Dashboard using Jackknife Analysis.

Setting Performance Targets

When supervisors or managers encounter a new KPI, their first question is often: “What does good performance look like for this indicator?”

Asset Management consultants and professionals should aim to establish realistic, achievable targets that encourage the desired behaviors and performance improvements.

These targets should be defined either before organization-wide implementation or during the early stages of the Asset Management Scorecard rollout.

Asset Management professionals can use several approaches to establish performance targets:

• External benchmarking: Comparing performance against organizations within the same industry.

• Internal benchmarking: Collecting internal performance data during an initial trial or baseline period.

• Modeling and simulation: Using analytical methods to establish appropriate performance expectations.

Information Strategy

Strong and effective data governance is a critical enabler of an Asset Management Scorecard, ensuring that performance indicators remain relevant, reliable, and accurate.

An organization’s information strategy should be updated to support the Asset Management Scorecard and clearly define:

• Data inputs and source systems.

• Roles and responsibilities for ensuring data integrity.

• Data capture methods for critical transactions.

• Data quality controls.

• Data timeliness requirements.

• Accountability for collecting and distributing KPIs.

• Information retention and security policies.

• Information auditing requirements.

Change Management

Change management is essential to the successful implementation of any Asset Management initiative, including changes to Asset Management KPIs.

Ineffective organizational change management can lead employees to become disengaged, apathetic, or resistant to adopting a new and improved Asset Management Scorecard.

A formal change management methodology, such as ADKAR (Awareness, Desire, Knowledge, Ability, and Reinforcement), should be incorporated into the initiative.

Identifying and empowering change champions at each site is essential to driving the required organizational changes.

The way an organization proactively addresses resistance to change will significantly influence the effectiveness of its Asset Management Scorecard implementation.

Implementing the Asset Management Scorecard

After assessing the organization’s current state, defining an optimized Asset Management Scorecard, developing dashboards and reports, establishing KPI targets, and preparing the business for change, the organization is ready to begin implementation.

However, Asset Management professionals should resist the temptation to introduce every change simultaneously.

A phased implementation approach is recommended to validate concepts, demonstrate early results, and build momentum.

This approach also helps prevent stakeholders from becoming overwhelmed by the scale of change.

KPIs should be prioritized according to their strategic importance to the business, with implementation beginning at strategically selected sites.

Change management efforts should be intensified during this stage, focusing on securing management commitment in the early phases and encouraging acceptance of the new KPIs.

Senior management support is a critical outcome of effective change management.

However, visible evidence that executives and senior leaders actively use KPIs and make decisions based on the new Asset Management Scorecard has an even greater positive influence on implementation success and long-term sustainability.

Simple tools, such as visual management boards, should be used to ensure that KPIs are visible and accessible to employees.

The more effectively KPIs are communicated and made available to employees, the greater their engagement—and the stronger the organization’s performance outcomes.

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