Downtime analysis is a structured approach

to identify, measure, and eliminate production

losses caused by equipment or process

interruptions. It is a critical component of

improving OEE (Overall Equipment Effectiveness)

and operational efficiency.

Downtime Analysis

Method

1. Define Downtime

Categories

  • Planned Downtime

  • Unplanned Downtime

  • Minor Stops

  • Operational Losses

2. Capture Accurate

Data

  • Use automated systems (IoT / MES)

where possible

  • Record start time, end time,

    duration, and reason

  • Ensure operators select standardized

    downtime codes

  • Validate and clean data regularly

3. Apply Pareto

Analysis (80/20 Rule)

  • Rank downtime reasons by total duration

  • Focus on top 20% causes that create

    80% of losses

  • Visualize using Pareto charts for quick

    insights

4. Perform Root Cause

Analysis (RCA)

  • Use tools like 5 Whys and Fishbone

    Diagram (Ishikawa)

  • Analyze factors: Machine, Method,

    Material, Manpower, Environment

  • Involve cross-functional teams

    (maintenance, production, quality)

5. Analyze Trends

& Patterns

  • Downtime by machine, shift,

    operator, product

  • Time-based trends (hourly,

    daily, monthly)

  • Correlation with production

  • conditions

6. Implement

Corrective Actions

  • Preventive maintenance plans

  • Standard operating procedures

    (SOPs)

  • Operator training

  • Process redesign or automation

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