Searching
Time spent finding the right part, tool or instruction for the current variant.
Production efficiency
See where manual time is actually spent.
You cannot optimize what you do not measure. Arkite captures cycle times and step durations from every manual workstation, so lean and process engineering teams work from evidence instead of estimates.
The problem
Manual stations run without a clock
Takt time sets the pace the line must reach to meet customer demand. Cycle time shows what each station actually achieves. At automated stations, the gap between the two is measured continuously. At manual workstations, it is usually estimated from occasional time studies.
Without step-level data, it is unclear where time is lost: searching for the right component, waiting for confirmation, recovering from errors or rework. Bottlenecks are assumed rather than identified, and improvement projects target the wrong steps.
Hidden efficiency losses in manual work
Interpreting
Time spent reading and filtering paper or static instructions.
Rework
Time spent disassembling and correcting errors found later.
Imbalance
Steps or stations that exceed takt time without anyone seeing it.
The Arkite approach
Guided execution that measures itself
No time lost searching
- Every step projected on the workbench
- The right part highlighted
- No interpreting of instructions
No stops to confirm steps
- A 3D sensor confirms each action
- The workflow continues automatically
- Hands stay on the work
Time per step, while the shift runs
- Four built-in dashboards
- Cycle times per job, variant and workstation
- Live step durations against the average
From workstation data to improvement
- 01
Capture
Cycle times, step durations, errors, torque values and picked quantities are recorded per job and variant.
- 02
Monitor
Built-in dashboards show output and cycle time trends against expected values in real time.
- 03
Analyze
Data flows to Power BI or other BI tools through a direct database connection, CSV export or the Arkite API.
- 04
Improve
Engineers update the workflow centrally and measure the effect on the next cycles.
Data that proves the improvement
- Cycle times against expected cycle time per job and variant
- Takt alignment per workstation and line
- Step durations showing where variation occurs
- Job output per hour, day or week
- Error and rework time per step
- Operator and experience level per job
Frequently asked questions
Which efficiency data does Arkite collect?
Cycle times against expected cycle times, step durations, job output, errors, torque values and picked quantities, per job, variant, workstation and operator.
Can we use Power BI with Arkite data?
Yes. Production data can be used in Power BI or any other BI platform through a direct database connection, CSV export or the Arkite API.
What is the difference between takt time and cycle time?
Takt time is the pace required to meet customer demand. Cycle time is the actual time a station needs per unit. Arkite measures cycle time at manual workstations so it can be compared with takt time.
Does measuring operators raise privacy concerns?
Operator identification is optional. Workstations can run with a generic login, and all data is stored on your own server, in line with the GDPR.
Talk to an expert
Measure your manual workstations
Start with one station and see your real cycle times, step by step.
- A specialist replies to you personally
- We look at your process, products and systems
- Together we define a first pilot workstation