Maintenance Backlog: What It Is and How to Control It Efficiently

With the beginning of the Industrial Revolution, maintenance processes were created and improved. As time went by, new techniques were developed, and the market became more demanding and competitive. In the search for new customers, many industrial companies want to achieve new results and reduce costs. In this context, the maintenance backlog emerges.

When an asset is down, whether due to a lack of spare parts or operational problems, the entire production line can be put at risk. Therefore, this situation must be resolved as soon as possible. Due to the pressure for positive results and the lack of knowledge, some professionals take incorrect actions that delay maintenance management performance.

In this way, the maintenance backlog is a concept that makes all the difference in the decision-making of an industrial supervisor. With it, it is possible to estimate spare parts and workforce demand in your operation. In this article, you will learn a little more about this topic. In addition, we will mention some practices that will help you in your daily work routine.

What is a Maintenance Backlog?

Maintenance backlog is the accumulation of work orders (WO) pending execution within a given period of time. In the industrial context, the term backlog represents exactly this accumulated workload, indicating the time each WO takes to be handled or the total number of jobs waiting for execution.

This concept can also be understood as the volume of hours or days the maintenance team would need to complete all currently scheduled and pending tasks.

No matter how skilled your maintenance team is, unexpected events happen. Even with good planning and maintenance performed periodically, any equipment can present unexpected failures. That is why it is essential to be prepared to act efficiently and quickly.

In addition to supporting planning, the backlog is an important performance indicator. Its analysis allows the maintenance supervisor to have a clear view of the team’s service capacity, making it easier to balance demand and available resources.

How is the Maintenance Backlog concept influenced?

The frequency with which work orders occur in an industrial plant can vary. Therefore, the maintenance backlog needs to be monitored in real time. Its behavior may vary according to the following factors:

Lack of spare parts

This problem is the most common in the daily routine of an industrial operation. Spare parts are fundamental for performing various types of industrial maintenance. In emergencies, the simple lack of a bolt, for example, can shut down an entire production line.

Unavailability of personnel

Your personnel are essential for the performance of most activities in the plant. As a result, there may be a demand that is much greater than the capacity your maintenance technicians can handle. Furthermore, an employee may fall ill or be on vacation. These absences cause the maintenance backlog to increase and, in more extreme cases, prevent efficient control of production.

Problems that require specialized service

Some companies require specialized services and machines in certain areas. When they face problems, your in-house maintenance team may not be able to solve them. At such times, waiting for an outsourced solution also affects the maintenance backlog.

How does the Maintenance Backlog support forecasting in industrial operations?

From what you have read so far, you can see that the maintenance backlog is a key element in planning any industrial operation. However, what is the ideal value for this metric? It should be calculated as follows:

Hours Worth of Work / Hours of Weekly Capacity = Maintenance Backlog in Weeks

Having a maintenance backlog lower than 1 indicates that your maintenance management is oversized. When this value is greater than 1, there are more jobs to be performed than your team can handle. The ideal situation is represented by a backlog equal to 1.

Controlling this indicator allows you to better understand the needs of maintenance management. In addition, it makes it easier to identify and solve problems and gaps in maintenance planning. As a result, it is possible to establish a maintenance and service routine aligned with your needs, reducing costs and the consumption of materials.

The use of maintenance management and control software, such as a CMMS/EAM, helps to control the backlog. It enables the organization of processes and the resources to be used, increasing the productivity of the maintenance department.

What is the importance of queueing theory for the Maintenance Backlog?

When several assets are waiting for maintenance, they form a queue. Although there are different reasons and root causes for this, all situations have characteristics in common. Thus, queueing theory addresses the phenomenon of waiting in line using mathematical and statistical methods.

Its goal is to find answers to operational problems that impair system performance. For it to be effective, it is essential to create a model and formulas specific to the needs of the situation under analysis.

Queueing theory enables the study and sizing of processes focused on increasing productivity and reducing financial losses. In this way, a maintenance supervisor has reliable information in hand to understand how the plant operates and to make decisions with greater safety and confidence.

The work routine of a maintenance supervisor is very intense and demanding. This professional needs to prove their value to the organization and satisfy customer expectations. Therefore, they must keep up with market trends and use the most efficient existing techniques and strategies in maintenance engineering and asset management.

The analysis of the maintenance backlog makes it easier to control operations and solve problems that affect performance. By using this concept, it is possible to make accurate expectations and reduce management costs. In all cases, the use of maintenance management and control software can be the solution for the most diverse types of industrial operations.

Conclusion

As we have seen throughout this article, the maintenance backlog goes far beyond a simple indicator of accumulated jobs. It is a strategic tool that provides a realistic view of your team’s service capacity, helps estimate future demand, optimize the use of resources, and, above all, reduce the impact of unplanned downtime on production.

By monitoring the backlog continuously and in a structured way, you can anticipate problems, balance workload, improve service levels, and increase the operational efficiency of your industrial operation.

In addition, with the support of maintenance management software (CMMS/EAM), backlog control becomes even more agile and accurate, enabling decision-making based on real data.

So, did you like this content? Do you want to learn even more about the topic? Check out more in our blog!

Frequently asked questions on the topic
What is a maintenance backlog?

A maintenance backlog is the accumulation of maintenance work orders that are pending execution within a specific period of time. It represents the total volume of jobs waiting to be performed or the number of hours/days your maintenance team would need to complete all scheduled and pending tasks.

Why is the maintenance backlog important for industrial operations?

The maintenance backlog is a key performance indicator because it shows the real service capacity of the maintenance team. By analyzing it, supervisors can balance workload and resources, avoid bottlenecks, anticipate problems, and make more accurate and cost-effective maintenance plans.

How do you calculate the maintenance backlog?

The maintenance backlog is typically calculated using the formula:
Hours Worth of Work / Hours of Weekly Capacity = Maintenance Backlog in Weeks
A result lower than 1 week suggests that the maintenance structure may be oversized, while a result greater than 1 indicates more work than the team can handle.

How does queueing theory relate to maintenance backlog?

Queueing theory studies the behavior of queues using mathematical and statistical methods. In maintenance, it helps analyze how many assets are waiting for service, how long they wait, and how resources should be sized. Applying queueing theory allows supervisors to design more efficient processes, reduce waiting times, and minimize financial losses caused by downtime.

Sign up for our newsletter

Do you want to optimize your maintenance?

Engeman® has the ideal solution for your maintenance management.
You may also be interested
In this way, the maintenance backlog is a concept that makes all the difference in the decision-making of an industrial
In this article, you will understand what a work order is, its main functions, and the differences between the paper
Now, in addition to preventing failures, it is possible to prescribe a solution. This is made possible by Prescriptive Maintenance,
Articles

Categories

Energy

Articles on maintenance in the energy sector.

Fleet

Articles on maintenance in the fleet sector.

Management

Articles on maintenance in the management sector.

Healthcare

Articles on maintenance in the healthcare sector.

Industry

Articles on maintenance in the industry sector.

Maintenance

Articles on maintenance in the maintenance sector.

Planning

Articles about maintenance planning.

Civil Engineering

Articles on maintenance in the civil engineering sector.

Mining

Articles on maintenance in the mining sector.

Cost Reduction

Articles about cost reduction in maintenance.

Services

Articles on maintenance in the services sector.

Terms

Articles related to maintenance terms.

Maintenance Software

Articles about maintenance software.

Engeman

Articles about Engeman® software.

Free Materials

eBooks

eBooks about maintenance content.

Webinars

Articles on maintenance in the energy sector.

Spreadsheets

Spreadsheets for maintenance control.

Calculators

Calculators for maintenance control.

Checklists

Checklists for maintenance control.

Whitepapers

Whitepapers about Engeman® operation.

Videos

Articles on maintenance in the energy sector.