Cycle times
Actual against expected cycle times, per job, per variant and per workstation.
Production intelligence
Structured data from manual work.
Manual operations are often the blind spot in production data. Arkite records every guided and validated step, so manual execution becomes measurable, comparable and traceable.
From execution to data
Data is a by-product of guided work.
Because every step at an Arkite workstation is defined, guided and, with Arkite VALIDATE and Arkite VISION, verified, the platform knows exactly what happened, when and on which unit. No separate data collection effort is required from operators.
Every workstation continuously feeds this data back to the Arkite server, which becomes one central source of production data from manual operations.
What Arkite captures
The data points.
Step durations
Which steps take longer than expected, and where the process stalls on a particular unit.
Errors
What went wrong, when and on which workstation, including the validation result of each step.
Torque values
Results from integrated smart tools, logged per assembled unit.
Picks and materials
Number of items picked per step in kitting and assembly.
Operator context
Operator and experience level used, when individual identification is enabled.
Built-in dashboards
Real-time monitoring in the Arkite software.
The Arkite software includes four dashboards for real-time monitoring of manual operations. They answer practical questions on the shop floor: which product takes longest to assemble, which step causes delays, and which unit needs attention right now.
- Workstation status: online status and loaded project per workstation
- Job output: jobs executed per hour, day or week, per job and variant
- Cycle times: per job, variant and workstation, with trend line and expected cycle time
- Current step duration: live step durations compared with the average
BI and analytics
Use the data in Power BI or any BI platform.
Log data is stored in an SQLite database by default. Other database types are supported too: MySQL, MS SQL Server, Oracle or MariaDB. Retention is configurable in rows or days.
From there, production data reaches Power BI or any other BI platform through a direct database connection, CSV export or the Arkite API. Manufacturers use it alongside MES and ERP data to monitor flow, find bottlenecks, optimize cycle and takt times and reduce scrap and rework.
Traceability per unit
A complete record of every serialized unit.
Arkite records every operator action, validated step and deviation against a production order and serial number. In case of a quality issue, you can retrieve the full history of a specific unit.
- Every step performed on the unit
- Operator and time of each step
- Result of each validation
- Torque values applied
- Product snapshots stored with the unit record, when configured
Project and settings changes are kept in an append-only audit log, protected by a hash chain.
Using the data
From data to decisions.
Optimize the process
Product output and step times show which products and steps slow the line down, so engineering effort goes where it matters.
Target training
Cycle times and error logs show where additional training or guidance is needed. Per-operator data is only recorded when individual identification is enabled, so it can be set up in line with local privacy and works council requirements.
Act immediately
Live step durations and unit status show which workstation or unit requires attention during the shift.
Turning manual execution into production intelligence.
Talk to an expert
See what your manual operations look like in data.
We show the dashboards and data model on a workstation configured for your process.
- A specialist replies to you personally
- We look at your process, products and systems
- Together we define a first pilot workstation