Failure classification is one of the most powerful features in Maximo Application Suite, but it is also one of the most inconsistently implemented. Most organizations capture failure data. Few structure it correctly, and fewer use that data to drive decisions when it comes to asset management.
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Maximo provides a structured framework to do all three. When configured and used properly, failure classification becomes the foundation for reliability analysis, maintenance optimization, and long-term asset strategy.

What Failure Classification Actually Means in Maximo

In Maximo Application Suite, failure classification is a structured way to capture and categorize failures using predefined codes. These codes are organized into a hierarchy of failure class, problem, cause, and remedy, allowing organizations to standardize how failures are recorded and analyzed.
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This structure answers three core questions:

• What failed
• Why it failed
• What was done to fix it
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Each level of the hierarchy plays a role:

• Failure Class defines the category of asset or failure type
• Problem captures the observed issue
• Cause identifies the underlying reason
• Remedy documents the corrective action
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For example:

• Failure Class: Pump
• Problem: Leakage
• Cause: Damaged seal
• Remedy: Replace seal
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This hierarchy is configured in the Failure Codes application and reused across assets, locations, and work orders to ensure consistency.

Where Failure Classification Lives in Maximo

Failure classification is primarily captured in the Work Order Tracking application, within the Failure Reporting tab.
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When work is completed:

• The failure class is typically inherited from the asset or location
• The technician selects a problem code
• Cause and remedy codes can be added to provide additional detail
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This is a critical step in the process. If failure data is not captured here in a structured way, it cannot be reliably analyzed later. Consistent use of the Failure Reporting tab is what transforms maintenance activity into usable data.

How the Failure Hierarchy Works

Failure codes in Maximo are structured as a hierarchy with defined relationships between each level.

• A failure class sits at the top
• Problems are associated with that class
• Causes are linked to specific problems
• Remedies are tied to causes
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This hierarchy controls how users interact with failure data. When a problem is selected, Maximo filters the available causes and remedies based on that selection. This ensures that users are choosing from relevant, predefined options rather than entering inconsistent data. This structured approach is what makes failure classification usable for reporting and analysis.

The Link Between Failure Classes and Assets

Failure classes are defined at the organization level and can be applied to assets and locations.
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When assigned correctly:

• The failure class is automatically carried into work orders
• Users are guided to the appropriate subset of failure codes
• Data remains consistent across sites and teams
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If failure classes are not assigned to assets:

• Users see a full list of codes
• The hierarchy loses its filtering behavior
• Data becomes inconsistent and difficult to analyze
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This is one of the most common gaps in Maximo implementations.

Designing Failure Codes That Work in Practice

Failure classification is often overengineered. The goal is not to create the most detailed hierarchy possible. The goal is to create one that people will actually use.
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Effective failure hierarchies are:

• Relevant to the asset or system
• Simple enough for quick selection
• Consistent across teams
• Built to evolve over time
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A practical approach is to start with failure classes and problem codes, then expand into cause and remedy as patterns emerge. If the hierarchy is too complex, adoption drops. If adoption drops, the data loses value.

How to Analyze Failure Classification Data

Capturing failure data is only useful if it is analyzed. Maximo enables reporting across failure classifications at the work order, asset, and site level. This allows organizations to move beyond individual events and identify broader trends.
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Some of the most valuable ways to use this data include:

Identifying recurring problems

Grouping work orders by problem code highlights which issues occur most frequently and where to focus improvement efforts.

Understanding root causes

Cause codes help distinguish between equipment failures, operational issues, and external factors.

Evaluating maintenance effectiveness

Remedy codes show whether corrective actions are solving the problem or simply repeating the same fixes.

Supporting reliability analysis

Failure data provides the foundation for metrics such as failure rates and mean time between failures, supporting broader reliability strategies.

Practical Use Case: Repeated Pump Failures

Consider a facility experiencing frequent pump failures. Without structured failure classification, work orders may include inconsistent descriptions that are difficult to compare.
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With proper classification:

• Problem codes identify recurring leakage
• Cause codes point to seal degradation
• Remedy codes show repeated replacement actions
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Cela révèle une tendance claire. Au lieu de poursuivre les réparations réactives, l'organisation peut étudier les conditions de fonctionnement, revoir la sélection des composants ou ajuster les stratégies de maintenance. C'est là que la classification des défaillances passe de la documentation à la prise de décision.

Pièges courants

La classification des défaillances est souvent mise en œuvre, mais elle n'est pas pleinement utilisée. Les problèmes les plus courants sont les suivants :

Classes de défaillance manquantes sur les actifs

Sans cela, la hiérarchie ne peut pas guider efficacement les utilisateurs.

Structures de code trop complexes

Un trop grand nombre d'options réduit la facilité d'utilisation et la cohérence.

Saisie de données incohérente

Le manque de formation ou le manque de clarté des définitions entraînent des données peu fiables.

Absence de gouvernance

Les codes de défaillance doivent être revus et conservés au fil du temps.

Analyse limitée

Les données sont capturées mais ne sont pas utilisées pour apporter des améliorations.

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La résolution de ces problèmes est ce qui distingue la mise en œuvre de base de la valeur réelle.

Où s'inscrit la classification des défaillances dans le MAS

La classification des défaillances est un élément fondamental de Maximo Application Suite. Elle soutient et améliore :

• Gestion de la performance des actifs
• Stratégies de fiabilité
• Maintenance conditionnelle
• Rapports et analyses
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Les données structurées sur les défaillances améliorent la visibilité des performances des actifs et renforcent l'efficacité des fonctionnalités avancées du MAS. Alors que Maximo fournit le cadre, la classification des défaillances crée un ensemble de données cohérent et structuré qui permet aux organisations de comprendre les défaillances, d'identifier les modèles et d'améliorer les stratégies de maintenance au fil du temps. Lorsqu'elle est bien réalisée, la classification des défaillances devient l'un des éléments les plus importants d'une approche de gestion des actifs axée sur les données.