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Nij Web Solutions LLP — Business Operations & Workflow Automation

Manufacturing Automation

How Manufacturing Companies Can Reduce Manual Work

Most manual work in a factory is not on the shop floor. It is the coordination around it — and that is the part you can remove.

3 min read

When a manufacturing business decides to reduce manual work, attention usually goes to the shop floor. That is understandable and often wrong. The manual effort that costs the most is rarely production work — it is the coordination that surrounds production, and it is concentrated among your most expensive people.

Where the manual effort actually is

In a typical mid-sized plant, non-productive manual effort falls into four categories. It is worth estimating each of them for your own operation before deciding where to spend.

CategoryWho does itTypical form
Re-entrySupervisors, stores, accountsThe same order, issue or output typed into two or three places
ChasingWhoever raised the requestFollowing up approvals, material, clearances, vendor deliveries
AssemblingManagers and MIS staffCollecting status from several people so a report can exist
ReconcilingAccounts and storesMaking two records of the same thing agree at month end

None of these four add anything to the product. They exist because information does not carry forward on its own.

Remove re-entry first

Re-entry is the easiest to remove and the easiest to demonstrate. Trace one piece of information — an order quantity, a production figure, a material issue — through your whole operation and count how many times it is typed. In most plants the answer is three.

The fix is structural rather than clever: capture it once, at the point of work, and have every downstream process read that same record. A confirmed order should generate the production requirement rather than be copied into a planning sheet. Recorded output should update stock and order status rather than be summarised into a daily report.

Then remove chasing

Chasing is invisible in any cost account but it consumes a remarkable amount of senior time. It happens because pending work has no owner and no clock — so the only mechanism that moves it is somebody's persistence.

Give every pending item a named owner and a waiting time, and make the system remind and escalate on a rule. That single change removes most follow-up calls in a purchase or approval process, and it has a second benefit: you find out which approval level is actually slow, which is usually not the one everybody blames.

Then stop assembling reports

If a report has to be compiled, it is late, inconsistent, and reflects the beliefs of whoever compiled it. Once output, issues and approvals are recorded in the system as they happen, the daily production report can exist at shift end without anybody writing it.

The test of an operations dashboard is not how it looks. It is whether any human effort is required to produce the numbers on it. If the answer is yes, the dashboard will eventually stop being trusted.

The shop floor: less than you think, and differently

Shop-floor data capture does need to happen, but the goal is to make it almost free rather than to eliminate it. A supervisor recording a shift's output should be entering a quantity and, if something went wrong, a reason code. Machine, job, shift and operator should already be known by the screen.

Where you already label lots, rolls, pallets or job cards, barcode or QR scanning removes typing errors and is worth adding. It is an improvement, not a prerequisite — and a project that depends on a labelling programme finishing first will take a year longer than it needs to.

What about machine integration and IoT?

It has real value in specific circumstances: high-speed machines where manual counting is impractical, or where downtime needs to be measured to the minute. It also has a real cost in complexity, and it addresses only one of the four categories above.

Our consistent advice is to sequence it second. Get the coordination layer working first — order to production, material to job, completion to inspection, clearance to dispatch — and then add machine signals where they measurably improve the data you are already collecting.

A reasonable first year

  1. Capture production on the line, so the plant's position is current rather than reconstructed.
  2. Book material issues against jobs, so consumption and yield are known per job.
  3. Put approvals into a queue with owners and clocks, so nobody chases.
  4. Generate production requirements from confirmed orders, so nothing is re-typed.
  5. Gate dispatch on quality clearance, so the expensive mistake becomes impossible.
  6. Put a dashboard on top of all of it — last, because by then it needs no manual input.
Manufacturing software developmentWhat we build for a plant, from shop-floor capture through to dispatch control.

Written by the team at Nij Web Solutions, who build operational systems for manufacturing and industrial businesses. If something here describes your operation, the next step is usually a conversation rather than a proposal.

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Questions

Related questions

Will automation mean reducing headcount?

In our experience it redistributes effort rather than removing people — the manual work being eliminated is mostly coordination done by people whose actual job is something else. What usually changes is that supervisors and managers stop spending their day chasing and assembling.

How do we know where our manual effort actually is?

Trace one piece of information end to end and count how many times it is written down, and ask three managers how much of last week they spent following things up. Both answers are usually higher than expected, and both are measurable without any software.

Next step

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