Find where production loses time, output and money.

Iwoscan collects data directly from manufacturing workstations: downtime, OEE, cycle time, defects, tasks, shifts and operator actions. Instead of guesses or end-of-shift spreadsheets, the production manager can see which problem limits flow and where manufacturing optimization should begin.

Manufacturing downtime tracking OEE calculation Defect management Workstation monitoring Manufacturing efficiency improvement
Discuss your production process

Problem

A production manager does not need another platform. They need to see what actually blocks the result.

Production is rarely slowed by one large failure. More often the loss comes from many small events: waiting for materials, missing instructions, stopped equipment, late defect reporting and shift reports that show only part of the picture. If these losses are not recorded consistently at each workstation, manufacturing optimization becomes a debate of opinions.

Downtime is not visible early enough

The real reason for a stop is often found only after the loss has already happened. Hours are gone, but the cause remains unclear.

OEE is not calculated from reality

If cycles, working time, quality losses and the plan are not connected, OEE becomes a nice percentage rather than a management tool.

Defects are separated from the process

A defect should be connected with the task, workstation, operator, product and reason. Otherwise repeated causes are hard to identify.

Solution

Iwoscan starts with one workstation and shows the real production flow.

The system records what happens at the workplace: when a task starts, how long an operation takes, when downtime appears, what caused it, how much was produced, how much was rejected, who worked and on which shift. This gives the production manager more than a total result: it reveals the structure of losses.

  • Real-time workstation states: running, waiting, stopped, setup, maintenance.
  • Downtime reasons by task, product, operator, shift and period.
  • OEE, availability, performance and quality indicators from actual data.
  • Defect and scrap recording where the problem appears.
  • Data export or integration with ERP, MRP or another production management system.
Manufacturing data analysis by workstation and shift

Buying-intent areas

Which manufacturing problems should be measured first?

Manufacturing downtime tracking

Record how much time is lost because of equipment, materials, instructions, quality, setup or waiting. Downtime becomes a table of specific causes, not a single vague line.

Downtime tracking

OEE calculation in manufacturing

OEE is useful when it is based on actual working time, cycles, produced quantity and quality losses. Iwoscan helps collect this data at the workstation.

OEE calculation

Manufacturing defect management

Record the defect when it is observed. Then you can see whether the problem repeats in a specific operation, shift, workstation or product.

Defect management

Who it helps

Value for different levels of production management

Production manager

See which downtime, defect or performance issue has the largest impact on the result. This helps prioritize the most expensive problem, not the loudest one.

Shift supervisor

Monitor workstation states, react faster to stops and see where help is needed while the shift is still running.

Company management

Base decisions about equipment, people, process changes, material supply and ROI on measured production data.

Production flow, downtime and OEE analysis

Implementation path

Start with a small process that can be measured.

You do not need to replace the whole factory system at once. In most cases it is better to select one workstation, line or product family where the loss is already suspected. Measure the baseline, identify the largest cause and compare the result after one controlled change.

  • Select the process and goal: reduce downtime, defects, cycle time or improve OEE.
  • Agree which events are recorded at the workstation.
  • Collect the baseline and group losses by reason.
  • Make one clearly defined process change.
  • Compare the result with the baseline and decide whether to expand.

Related solutions

If you know which problem to start with, go straight to it.

Manufacturing downtime tracking and cause analysis OEE calculation based on actual production data Manufacturing defect and scrap management Real-time production workstation monitoring Actual production data before changing the process

ROI

Return on investment appears when a specific loss is measured.

Manufacturing optimization should not be an abstract project. Start with a direct question: how much does one hour of downtime cost, one repeated defect cause, one unmeasured cycle delay or one shift without reliable data? When a loss has time, place and reason, you can calculate whether the process change paid back.

Show us one production workstation

Briefly describe the process, equipment and data that is currently missing.

We will explain what can be recorded, which Iwoscan set is suitable and how the data can reach your systems.

Discuss your process

FAQ

Common questions about manufacturing optimization with Iwoscan

Do we need to replace ERP?

No. ERP does not need to be replaced. Iwoscan can collect workstation data and send it to the system you already use or export it in an agreed format. ERP should only be changed if you want that and the current system no longer fits your needs.

Does it work for manual production?

Yes. The system is useful where manual operations, cycles, downtime, instruction compliance or quality events need to be visible.

Where should we start?

Start with one workstation or process where you suspect the largest loss. The first goal is not to automate everything, but to measure the problem reliably.

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