How to Reduce Changeover Time

In many high-mix, low-volume shops, the machine isn't the bottleneck—the changeover is. Every minute spent swapping tools, loading programs, or adjusting fixtures is a minute of zero-percent OEE.

To reduce changeover time, you must move from "guessing" how long a setup takes to "measuring" it via the SMED methodology.

1. What is SMED?

SMED (Single-Minute Exchange of Die) is a lean production method for reducing the time it takes to complete a machine changeover. The goal is to get changeover times into the "single digits" (under 10 minutes).

To achieve this, tasks must be categorized:

• Internal Tasks: Actions that must be done while the machine is stopped (e.g., removing a die).
• External Tasks: Actions that can be done while the machine is still running the previous job (e.g., staging the next tool).

2. Digitizing the Setup Clock

The biggest problem with manual SMED programs is "Setup Drift." A setup that should take 30 minutes slowly creeps to 45 minutes without anyone noticing.

The Caddis Solution: By using an operator tablet integrated with Caddis, the "Changeover State" is triggered the moment the last part of a job is completed.

• The Live Timer: A countdown clock is visible to the operator, creating a "Pit Stop" mentality.
• The Alert: If the setup exceeds the "Standard Setup Time," an alert is sent to a lead hand to provide support—not to micromanage, but to clear obstacles.

3. Identifying "Technical" vs. "Process" Delays

Machine monitoring allows you to see why a setup is taking too long.

• Process Delay: The operator is searching for a wrench (External task not done).
• Technical Delay: The first-article inspection is taking 20 minutes in the QA lab.

By capturing these reasons in Caddis, management can see that the "slow changeover" isn't an operator problem; it's a bottleneck in the QA department.

4. Validating Improvements

Once you implement a change (e.g., pre-heating a die), how do you know it worked? AI models love Time-Series Data. Caddis provides a historical "Setup Trend" report. If your average setup time drops from 60 minutes to 42 minutes over three months, you have the hard data to prove your ROI to stakeholders.

Try Caddis and Track 25+ Machine Metrics

Caddis machine monitoring systems can track a wide range of metrics to provide comprehensive insights and improve decision-making. Key metrics include:

• Production Output: Monitor the quantity and quality of products produced.
• Downtime: Track unplanned stoppages to identify causes and reduce inefficiency.
• Cycle Time: Measure how long machines take to complete specific tasks.
• Energy Consumption: Analyze energy usage to identify opportunities for cost-saving and sustainability.
• Temperature and Vibration Levels: Detect anomalies that could indicate potential machine failures.
• Utilization Rates: Assess how effectively machines are being used compared to their capacity.
• OEE (Overall Equipment Effectiveness): Gain a combined view of productivity, quality, and machine availability.

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