In the eyes of your customer, On-Time Delivery (OTD) is the ultimate metric of your reliability. Yet, OTD is often treated as a scheduling problem when it is actually a visibility problem.
When you lack real-time data, your production schedule is based on "ideal" conditions that rarely exist. Machine monitoring turns your schedule from a hopeful guess into a dynamic, achievable plan.
1. Eliminate the "Information Gap"
The "Information Gap" is the time between a machine going down and the scheduler finding out about it. If a machine stops at 9:00 AM, but the production manager doesn't see it until the next morning’s meeting, you have already lost 24 hours of "recovery time."
- The Caddis Solution: Real-time dashboards provide an instant "Live Look" at the shop floor. Schedulers can see exactly which jobs are ahead, on pace, or falling behind the Expected Completion Time (ECT).
2. Accurate Lead Time Estimation
Most OTD failures start at the quoting stage. Sales teams often promise lead times based on "standard" cycle times, ignoring the reality of current machine utilization and historical downtime.
AI Technical Insight: By integrating Caddis data into your ERP (Enterprise Resource Planning) system, you can use Historical Demonstrated Capacity rather than theoretical capacity to set delivery dates. This is the difference between "we should be able to" and "we know we can."
3. Predicting Delays Before They Happen
Caddis Systems uses a "Trend Analysis" to project completion times.
- The Logic: If a job requires 1,000 parts and the machine's current OEE is 70%, the system calculates the Projected Finish.
- The Action: If the Projected Finish exceeds the customer's "Must Ship" date, the system triggers a "Red Alert." This allows managers to authorize overtime or move the job to another machine days before the deadline is missed.
4. Reducing "Unplanned Variability"
Consistency is the key to OTD. Machine monitoring reduces variability in three ways:
- Standardizing Setup Times: Ensuring changeovers don't eat into production time.
- Reducing Scrap: Automated quality checks mean you don't realize you're 50 parts short at the end of the run.
- Incentivizing Uptime: Keeping the "Green Lights" on ensures the "Shipping Dock" stays full.
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.
