Asset Failure Codes

Introduction

Asset Failure Codes functionality in Dynaway EAM enables organizations to record, classify, and analyze asset failures for improved maintenance planning and reliability.

What are Asset Failure Codes?

Failure codes are standardized identifiers used to describe problems, reasons, and actions related to asset failures. They help maintenance teams report, track, and resolve failures consistently.


Key Features

  • Record failures on work orders using problem, reason, and action codes
  • Use predefined lists for consistent reporting
  • Link failures to assets, work orders, and downtime events
  • Analyze failure trends for reliability improvement
  • View failure history and details on asset and work order ca

How to Set Up and Use Failure Codes

  1. Go to the Failure - Reasons page in Business Central.
  2. Define codes and descriptions for failure reasons. Failure reasons explain why a failure occurred (e.g., wear, operator error, material defect).
  3. Go to the Failure - Problems: Define codes for types of problems encountered (e.g., leak, breakage, overheating).
  4. Go to the Failure - Actions: Set up codes for corrective actions taken (e.g., replace, repair, adjust).
  5. On work orders, select the appropriate problem, reason, and action codes when reporting a failure. This ensures each failure is fully described and the response is documented.
  6. Save and review failure records for analysis and planning.

Tip: Use all three code types—problem, reason, and action—for comprehensive failure reporting and better maintenance insights.

Copilot Integration for Failure Reporting

Dynaway EAM supports Copilot integration, allowing users to add failure information directly to work orders using AI-powered assistance. With Copilot, maintenance teams can: - Quickly record failure codes and descriptions on work orders - Receive suggestions for problem, reason, and action codes based on historical data - Improve reporting accuracy and efficiency

Tip: Use Copilot on work orders to streamline failure reporting and leverage AI recommendations for faster, more consistent data entry.

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