To ensure that maintenance management is effective, it is important to measure its performance. Maintenance metrics are tools that allow you to evaluate management performance, identify areas for improvement and make informed decisions. 

Maintenance metrics 

Maintenance metrics can be classified into two categories: 

Performance metrics: These metrics measure asset performance such as availability, mean time between failures (MTBF), and mean time to repair (MTTR). 

Cost metrics: These metrics measure the costs associated with maintenance management, such as labor costs, material costs, and inventory costs. 

Choice of metrics 

Choosing the right maintenance metrics depends on the specific needs of each company. However, there are some metrics that are generally considered the most important, such as: 

Availability: Availability is the probability that an asset will be available for use when it is needed. 

MTBF: The MTBF is the average time that passes between two failures of an asset. 

MTTR: The MTTR is the average time it takes to repair an asset after a failure. 

Total Cost of Ownership (TCO): TCO is the total cost of owning and operating an asset over its useful life. 

How to measure them? 

Maintenance metrics can be measured in a variety of ways. In some cases, it is possible to obtain data directly from the company's information systems. In other cases, it is necessary to conduct surveys or collect data manually. 

Analysis of the results 

Once metrics have been measured, it is important to analyze the results to identify areas for improvement. This analysis can help companies make informed decisions about how to optimize their maintenance management. 

Measuring maintenance management is an essential part of any effective maintenance program. Maintenance metrics provide valuable information that can help companies improve asset performance, reduce costs, and increase safety. 

 
IBM Maximo Application Suite: Improvement of maintenance management measurement 

Maximo is an enterprise asset management (EAM) software platform that can help companies improve the measurement of their maintenance management. Maximo provides a number of features that can help companies collect maintenance data, analyze it, and use it to make informed decisions. 

Some of the ways Maximo can improve maintenance management measurement include: 

• Automating data collection: Maximo can automate maintenance data collection, which can reduce errors and improve data accuracy. 
• Data visualization: Maximo provides a series of data visualization tools that can help companies understand maintenance data more effectively. 
• Predictive Analytics: Maximo can use predictive analytics to identify trends and patterns in maintenance data, which can help companies prevent failures and improve asset availability. 

In general, IBM Maximo can be a valuable tool for companies seeking to improve the measurement of their maintenance management. 

El cargo ¿Cómo medir la gestión de mantenimiento de forma efectiva?  apareció primero en Def•alliance.

Key Steps for Effective Maintenance Management: 

1. Asset Identification: The first step is to identify all the company's assets that require maintenance. This includes equipment, machinery, facilities and other elements essential to the operation. 

2. Assessment of the State of Assets: Next, it is crucial to evaluate the condition of the assets to determine the type of maintenance required. Visual inspections, testing, and data analysis are valuable tools at this stage. 

3. Maintenance Planning: Based In the evaluation, maintenance activities are planned. This includes defining the type of maintenance, frequency, and allocation of resources required. 

4. Maintenance Execution: Once planned, it is time to carry out maintenance. This can be carried out by internal or external personnel, depending on the needs and capabilities of the company. 

5. Maintenance Record: Recording all maintenance activities is essential. This ensures that maintenance is carried out effectively and helps identify areas for improvement. 

The Solution with IBM Maximo Application Suite: 

If you are looking for a complete and efficient solution for asset management, IBM Maximo Application Suite is the answer. This powerful tool provides a holistic view of your assets and optimizes the planning, execution and recording of all maintenance activities. With IBM Maximo, you will be able to make the most of your resources and reduce maintenance costs. 

Additional Tips for Efficient Maintenance Management: 

Use of Technology: Technology plays a crucial role in maintenance management. The use of specialized software solutions such as Maximo Application Suite can significantly improve process efficiency. 

Employee Involvement: Employees are a valuable source of information about asset status and maintenance needs. Involving them in the process can lead to greater understanding and commitment. 

Regular Audits: Conducting regular audits of the maintenance management process allows you to identify areas for improvement and ensure that best practices are followed. 

Maintenance management is an essential activity for any company that aspires to optimal functioning of its assets. By following key steps and applying additional tips, companies can reduce costs, increase asset availability, and improve safety and productivity. Investment in effective maintenance management, supported by Maximo Application Suite, can translate into a significant increase in efficiency and profitability. Don't underestimate its importance! Learn more about Maximo here. 

El cargo Cómo Hacer una Gestión de Mantenimiento Exitosa: Pasos Clave y Consejos  apareció primero en Def•alliance.

An asset is a resource with economic value that is controlled with the expectation of providing a future benefit.

A good understanding of the importance of assets can help achieve potential savings and reduce risks.

Managing assets so they can provide products and services is a fundamental part of the discipline known as asset management.

According to IAM (The Institute of Asset Management), “Asset management is about extracting value beyond what is done with the assets. “It’s about using assets to deliver value and achieve the organization’s business objectives.”

Successful asset management requires the active participation of many people within an organization and its supply chain. It requires the understanding and support of internal and external stakeholders. There is increasing recognition that asset management is carried out by multidisciplinary teams at all levels of the organization.

Recognizing the path and maturity of asset management in your organization is a key activity in which def•alliance can help you. Ask one of our consultants how.

El cargo ¡Más que solo activos! apareció primero en Def•alliance.

There is considerable excitement around the potential of advanced predictive maintenance approaches.

The promise of these new techniques is tantalizing. Using machine learning technologies to analyze historical failure and performance data, we aim to forecast when and how a component is likely to fail in the future with a high level of predictability.

Several companies have started down the path by establishing automation and instrumentation, which combined with a rigorous maintenance record, will create the rich data that machine learning systems require.

Although it appears to be an easy project, there are things asset managers should consider:

Data. Unplanned downtime can be concentrated in a small number of large events. This means you will have very few data points for predictive maintenance systems to learn from.

Time. Predictive models operate over time horizons that may be too short to be useful. Predicting that a part will fail in two days or two weeks is useful on a truck or a tool, but may not be useful in a plant where shutdowns take several days and maintenance teams require months to plan interventions and obtain spare parts.

Impact. The facilities operate critical assets with a high degree of redundancy and few individual points of failure. If a pump stops unexpectedly, operators can often switch to a backup unit with little impact on production, reducing the impact of predictive maintenance.

Request a session with our experts to learn how Maximo can help facilitate your path to predictive maintenance.

El cargo Mantenimiento predictivo avanzado apareció primero en Def•alliance.