When one production task has several owners

Task splitting and merging in production

Iwoscan lets a large production task be split between employees, work centers or sequential operations, then merged back into one clear production result.

Circle green checkmark Odoo ERP friendly
Circle green checkmark Built-in task splitting and merging
Circle green checkmark Raw data without distortion
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Task splitting without losing control

When work is split manually, control is easy to lose: who is doing which part, how much is already finished, where the intermediate item is, and whether all parts returned to the main task. Iwoscan keeps that visible in real time.


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Parallel splitting

- One large task is divided between several employees or work centers.

- Each person completes a defined part while Iwoscan keeps the overall progress tied to the main task.

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Sequential operations

- A task can be split into operations that must happen in order, such as sewing, cutting and checking.

- The system shows which stage is complete and where the next part should go.

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Intermediate labels

- Iwoscan can generate QR or barcode labels for separate task parts.

- After scanning, the operator can see which main task the item or operation belongs to.

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Merging back to one task

- Completed parts are returned to the common task result.

- This helps avoid uncounted work, missing parts and premature task closing.

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Clear WIP visibility

- Supervisors see not only final completion, but also intermediate quantities in progress.

- This matters when production includes many small operations and several people working at once.

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Less paper coordination

- Operators do not need to guess where a part came from or where it should go next.

- Scanning, statuses and merging reduce manual notes and handover mistakes.

How task splitting works

In production, a task does not always move as one card through one operator. Sometimes it must be divided between several people at the same time; sometimes it must pass through a strict operation sequence. Iwoscan keeps the connection between the main task, its parts and final completion.

  • 1

    Create the main task

    The task has a total quantity, order information and an identifier. It remains the main object to which all split parts return.

  • 2

    Choose the split type

    Parallel splitting fits work done at the same time by several employees or work centers. Sequential splitting fits work that must pass through several operations in order.

  • 3

    Generate parts and labels

    Separate parts or stages can receive QR or barcode labels. This lets operators scan items, semi-finished goods or operations without manual guessing.

  • 4

    Operators record their work

    Each operator starts, pauses or completes the assigned part. The system records time, quantity, status and the connection to the main task.

  • 5

    Merge parts into one result

    When parts or stages are complete, Iwoscan links them back to the main task. Supervisors can see what is finished, what is still waiting and whether quantities match.

When a task is split, it should not disappear from view

Iwoscan keeps the connection between the main task, its parts, intermediate labels and final completion. It is practical when one item or batch is handled by several people.

What Iwoscan gives to split tasks

The system is useful when production needs more than a simple started and finished status. It shows the real task state across parts, operations and work centers.

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Main task and parts

The large task remains the main production object, while its parts can be assigned to different employees or work centers.

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Operation sequence

In a sequential process, it is clear which operation is done, which one is waiting and where the task has stopped.

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QR and barcodes

QR or barcode labels can be printed for intermediate parts so scanning links each part to the correct task.

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Work center control

The system helps track which part is being processed at a specific work center and what its current status is.

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Quantity merging

Completed parts can be merged into the common task quantity, making it easier to see what has actually been produced.

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Fewer manual errors

Scanning and clear statuses reduce dependence on paper notes, verbal handovers and manual summaries.

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Intermediate item tracking

When an item moves between stages, its label helps identify origin, current state and destination.

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Real progress

Supervisors see more than the final result: they see whether work is split, active, waiting or merged.

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Data for reports

Recorded events can be used to analyze stage duration, queues and processes where work organization needs improvement.

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Process-specific setup

The splitting logic can be adapted to the production type: batches, single items, sewing, assembly or other operations.

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.

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Frequently Asked Questions

What is the difference between parallel and sequential task splitting?

Parallel splitting means one task is divided between several people at the same time. Sequential splitting means the task moves through several stages in order, for example sewing and cutting.

Why use intermediate QR or barcode labels?

They connect an item, part or stage to the main task. The operator scans the label and the system knows what is being processed and which task it belongs to.

Can Iwoscan merge completed parts back into one task?

Yes. Completed parts or sequential stages can be linked back to the main task so the total quantity and final completion are clear.

Where is this useful in practice?

It is useful in sewing, assembly, packaging, metal processing and other production where one task is handled by several people or moves through several operations.

Does this replace production planning?

Not necessarily. Iwoscan usually complements planning at the execution level: it records what is actually happening on the shop floor and provides clearer data for analysis.

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