The Assembly Analysis dashboard gives you a complete view of your manufacturing and assembly operations. It tracks production volume, total assembly value, wastage rates, and schedule efficiency in one place. It is designed for Unleashed customers who manufacture or assemble finished goods from components.
Unlike the sales and purchasing dashboards that focus on revenue and procurement, Assembly Analysis focuses on operational efficiency; whether you are building the right products, at the right cost, with acceptable waste levels, and on time. It is the only place in the Analytics ecosystem where production quality metrics, wastage trends, and schedule performance are surfaced together.
Review the Assembly Analysis dashboard
KPI cards
Four headline metrics appear at the top of the dashboard, giving you an instant production health check.
KPI | What it shows | What to watch for |
Assembly ID count | Total assembly orders completed, quantity assembled, and distinct products assembled. Your production volume and breadth. | Declining counts indicate production bottlenecks or component shortages. Rising counts with falling quality metrics suggest volume is being pushed at the expense of quality. |
Assembly value | Total value of assembled goods based on component and supplier costs. Your manufacturing investment. | An assembly value growing faster than finished goods revenue means margin compression; you are spending more to produce goods than the revenue they generate justifies. |
Wastage % | Percentage of output lost to wastage, with absolute quantity and cost. | Any upward trend needs immediate investigation. Even small increases compound over high production volumes and can represent significant material cost. |
Schedule efficiency % | Percentage of assemblies completed on schedule, with late count and duration variance. | Low efficiency points to planning inaccuracy, component availability issues, or capacity constraints. A late count figure quantifies the operational impact of scheduling problems. |
Quality metrics time series
A multi-line chart tracks five production quality indicators monthly, allowing you to spot trends and correlate quality events with production volume over time.
Completed count: Monthly assembly throughput. Use this to identify seasonal patterns, capacity constraints, and whether production volume is trending up or down.
High wastage count (>5%: Assembly orders where wastage exceeded 5% of input materials. These are quality incidents. Spikes often correlate with specific product runs, material batches, or process changes.
Very high wastage (>10%): Severe quality failures. Any non-zero value should trigger a root cause analysis to identify and resolve the underlying issue.
Disassembly count: Assemblies reversed back to components. High counts indicate quality issues caught after completion, customer returns requiring rework, or production errors that needed correction.
Rework count: Assemblies requiring rework after initial completion. A hidden cost — the assembly may ship but consumed additional labour and materials that erode your margin.
🤓 Tip: Hover over any data point to see all five metrics for that month, making it easy to correlate quality events with production volume.
Filtering
Assembly Analysis supports three filters, which you can combine to isolate a specific slice of your production data.
Assembly date range: Narrows all KPIs, charts, and breakdowns to assemblies completed within the selected period. Useful for investigating a specific month or comparing two periods.
Product names: Filter to one or more specific products. Useful for investigating a quality issue with a particular assembled item, or for comparing production metrics between products.
Product groups: Filter to one or more product categories. Allows you to compare manufacturing performance across lines — for example, whether one product group has higher wastage than another.
Using Copilot with Assembly Analysis
Example prompts
Below are a few prompt examples for using Copilot with the Analytics' Assembly Analysis dashboard
Prompt | What it returns |
"Show me monthly assembly completion counts for the last 12 months" | Monthly production volume trend, helping you identify seasonal patterns and capacity constraints. |
"Which product groups have the highest wastage percentage?" | Pinpoints which manufacturing lines have the most significant quality issues for targeted improvement. |
"Show me assemblies with wastage above 10% in the last quarter" | Severe quality failures requiring root cause analysis. Export for your quality team to review. |
Custom insights you can build
Wastage alert card
To build this insight, use the following metrics and filters:
Source: Unleashed_Assembly_KPI_Timeseries.
Value: wastage %.
Apply conditional formatting: red when greater than 5%, amber when greater than 3%.
This produces a production quality indicator you can monitor at a glance and adjust thresholds to match your acceptable wastage levels.
Schedule adherence trend
To build this insight, use the following metrics and filters:
Source: Unleashed_Assembly_KPI_Timeseries.
Group: by month.
Value: late count.
Tracks whether schedule efficiency is improving or worsening over time, helping you measure the impact of any planning changes you make.
📌 Note: Assembly Analysis is built on data only Unleashed captures; assembly transactions with component consumption, wastage recording, and completion timing. This level of production quality tracking is not available in other tools in Access Evo.