Data
Automatic signals, quantities and shift context.
Continuous improvement platform for manufacturing
Lean2S
Equipment data, shift reports, Andon, Kaizen and PDCA in one manufacturing workspace.
More than monitoring
See the fact and manage what happens next in one place.
Lean2S automatically captures equipment run time and downtime, records causes, displays Pareto analysis and helps identify the machine limiting flow. Andon, Kaizen and PDCA tools turn data into team action.
- Automatic equipment signals
- Downtime causes, Pareto and the machine limiting flow
- OEE, Availability and flow metrics
- Andon, shift reports, Kaizen and PDCA actions
Illustrative data
Shift flow viewToday
ConstraintM-03
Availability70%
PriorityDowntime
Improvement cycle
From an equipment signal to a verified result.
Lean2S connects the production fact, the response, the improvement action and verification of its impact.
Clarity
Downtime, causes and the flow constraint.
Response
An Andon signal and a shift-level decision.
Improvement
A Kaizen or PDCA action, owner and deadline.
Verification
A before-and-after comparison of the implemented change.
Lean2S tools
One factual view for daily management and improvement.
Equipment monitoring
Run time, downtime, quantities, speed and flow metrics.
Assistance calls
Assistance or material supply calls, task acceptance, completion and response-time measurement.
Improvement cycles
Ideas, agreed actions, ownership, deadlines and result verification before and after a change.
Lean2S modules
From an equipment signal to a measured improvement.
Inside Lean2S, the team works with data, downtime, tasks, responses and improvement actions. External systems are connected only when they are genuinely needed.
Daily work and improvement modules
Machine detailMinute-by-minute equipment data.
Downtime causesCause capture, grouping and recurrence analysis.
Production tasksTask recording and execution context.
Action moduleKaizen, PDCA, quality or other data-collection tasks.
AndonAssistance or material calls and response time.
AnalyticsReports, Pareto, OEE, Availability and flow metrics.
Operator work, shifts and responsibilities.
TV screensProduction status on shop-floor screens.
Push notificationsProactive signals to responsible people.
How we start
We start with the machine the company believes may be limiting flow.
The goal is to test the assumption with data, show the team how to read it and only then decide whether to expand to other equipment.
Choose the machine
We begin with the place managers suspect is limiting production flow.
Collect facts
For about a week, run time, downtime, output and shift data are collected.
Learn to read the data
In a 1.5-hour session, recurring patterns and possible causes are reviewed.
Choose actions
Production managers review the shop-floor situation and decide what to change.
Measure impact
Results are compared before and after the change, then expansion is considered.
Frequently asked questions
What to know before a demo.
What is Lean2S?
Lean2S is a continuous improvement system for manufacturing. It collects equipment data, reveals downtime causes, supports shift response and links improvement actions with measured results.
Does Lean2S require an ERP system?
No. Lean2S works independently: core data, reports, loss evaluation and improvement actions are handled inside Lean2S. ERP, Power BI or other systems can be connected only when additional context is needed.
What can Lean2S measure?
Automated lines, individual machines and manual workstations where a reliable motion, current, pressure, pulse, speed or counter signal can be obtained.
Where should we start?
We recommend starting with the machine the company believes may be limiting production flow. This quickly tests the assumption, helps the team learn to read the data and only then supports a decision on expanding monitoring to other equipment.
What result can be expected?
Outcomes depend on the production situation and the actions chosen by the company. Across three Proginta projects, output per hour increased by 27–36% over 2–3 months without an increase in the defect rate. This is recorded experience, not a guaranteed result for every implementation.