Equipment · Beginner
Consult Equipment Maintenance History
Learn how to consult an equipment item's work order history in ManWinWin Web, locate a past intervention and review the recorded work and resources used.
Understanding an equipment item's maintenance history is fundamental for effective asset management and decision-making. This guide explains how to access and review past interventions in ManWinWin Web, allowing you to quickly retrieve critical information about completed work.
Where it's available and step by step
Step by step in ManWinWin Web
- 1
Open Items and select the equipment whose maintenance history you want to consult.
- 2
Click the <WOs> icon to display the equipment's work order list on the right.
- 3
Review the listed work orders and their available dates and statuses to distinguish past interventions from work still pending.
- 4
If necessary, use the relevant column's arrow to filter the history and locate the intervention you need.
- 5
Open the selected work order by clicking its code, double-clicking its row or using <Open>.
- 6
Expand the relevant sections using their arrows and read the recorded work in Performed and the available task results in Tasks.
- 7
Review the existing Man-hours and Stock items entries to understand the labor and materials recorded for that intervention, without adding or changing entries.
Theory and technical background
Importance of Comprehensive Maintenance Records
Detailed maintenance records are the cornerstone of a robust CMMS/EAM system, as highlighted by ISO 55000 standards for asset management. They provide a chronological log of all interventions, including corrective, preventive, and predictive tasks. These records are vital for tracking equipment performance, identifying recurring issues, and supporting informed decisions regarding repair-or-replace strategies, spare parts optimization, and maintenance scheduling. Accurate historical data enables a deeper understanding of asset lifecycle costs and operational reliability.
Leveraging History for Performance Analysis
Equipment maintenance history is crucial for calculating key performance indicators (KPIs) such as Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR). By analyzing past work orders, organizations can identify failure patterns, assess the effectiveness of maintenance strategies, and predict future maintenance needs. This data-driven approach allows for continuous improvement, reducing downtime, optimizing maintenance costs, and extending asset lifespan, aligning with best practices for asset reliability and availability.
Standards and Information Accuracy
Adhering to standards like EN 13306 for maintenance terminology and ISO 14224 for data collection and exchange ensures consistency and accuracy in maintenance records. When reviewing historical work orders, it's essential to verify that information such as performed tasks, reported defects, man-hours, and spare parts used (cost control) is accurately documented. High-quality data in the CMMS improves the reliability of analytics and supports compliance requirements, contributing to overall operational excellence and asset health.
Best practices
- Regularly audit your maintenance records for completeness and accuracy.
- Use specific filters in ManWinWin Web to quickly narrow down work orders.
- Pay attention to 'Performed' descriptions for detailed intervention summaries.
- Review 'Man-hours' and 'Stock items' to analyze labor and material costs.
Frequently asked questions
Why is it important to consult equipment maintenance history?
Consulting history helps track performance, identify recurring issues, optimize maintenance strategies, and make informed decisions on repairs or replacements, crucial for asset reliability and cost control.
What kind of information can I find in a past work order?
You can find details on tasks performed, reported defects, solutions applied, labor hours, spare parts used, and associated costs, providing a complete picture of the intervention.
How does maintenance history relate to KPIs?
Maintenance history provides the raw data needed to calculate vital KPIs like MTBF and MTTR, allowing for data-driven analysis of equipment reliability and maintainability, improving overall asset management.
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