The MES collects valuable data during production. The reporting features allow managers and planners to gain insights into manufacturing performance, identify bottlenecks, and track key metrics.
Provides a real-time overview of current production activity.
How to Use
1
Typically the default view in the Reports section or a prominent dashboard.
2
Look for sections showing:
Order Counts by Status: A summary of how many orders are currently “Pending,” “In Progress,” “On Hold,” and “Completed Today.” This gives a quick snapshot of the overall workload and flow.
List of In Progress/On Hold Orders: A detailed list of orders that are currently active or paused. This list usually shows:
Order Number
Product being manufactured
Quantity
Current Work Order Operation (WOO) title
Organization (Org) assigned to the current WOO
Current status (In Progress or On Hold)
Insights
Helps identify if work is piling up in certain statuses, which orders are actively being worked on, and where current holds are occurring.
Analyzes how long operations are taking compared to their target times.
How to Use
1
Select this report from the reporting menu.
2
You can typically filter the analysis by:
Date Range: Focus on operations completed within a specific period.
Routing: Analyze performance for a specific manufacturing routing or even specific operations within that routing.
3
The report usually displays:
Average, Minimum, and Maximum total_active_time_seconds: For each operation (or routing operation definition), it shows the statistical spread of completion times.
Comparison against target_time_seconds: Highlights variances, showing if operations are generally meeting, exceeding, or falling short of their targets. This might be shown as a percentage or absolute difference.
Visualizations like bar charts or trend lines might be used.
Insights
Identify operations that are consistently taking longer than expected, which could be bottlenecks. Also, find operations that are faster than target, which might indicate efficient practices or overly generous targets.
Provides insights into why and for how long operations are being paused.
How to Use
1
Select this report from the reporting menu.
2
Filter by:
Date Range: Analyze pauses that occurred within a specific period.
Organization (Org): Focus on pauses within a particular department or work center.
Pause Reason: You might be able to filter for specific pause reasons.
3
The report typically shows:
Total Time Paused by Reason: Aggregated duration of all pauses, grouped by each MES_Pause_Reason.description. This helps identify which reasons contribute most to downtime.
Frequency of Each Pause Reason: How many times each pause reason was selected.
Charts (e.g., Pareto charts) are often used to visualize the most significant reasons by duration or frequency.
Insights
Understand the primary causes of production interruptions. This data is crucial for improvement efforts aimed at reducing downtime (e.g., if “Machine Breakdown” is high, it might point to maintenance issues).
The availability and specifics of this report depend on the implementation following the data input refactor.
Purpose
To analyze the data collected by operators via the data_input_schema fields during operations.
How to Use
1
If available, this report would allow you to select specific data input fields (e.g., a particular measurement).
2
You could then see the collected values, potentially with filters for date range, product, or routing.
3
Basic statistical analysis (mean, median, range) or visualizations (histograms, control charts if SPC features are implemented) might be available.
Insights
Useful for quality control, process monitoring (e.g., are measurements within tolerance?), and identifying trends or anomalies in operator-captured data.
Some reports may offer an option to export the data (e.g., to CSV or Excel) for further analysis in other tools. Look for “Export” or “Download” buttons.
By regularly reviewing these reports, you can make data-driven decisions to optimize your manufacturing processes, improve efficiency, and reduce downtime.