8 Challenges That Slow Industrial Production — and How High-Performing Companies Solve Them

You don’t need a long pitch to convince a production manager that their day-to-day is complicated. Between delays, data entry errors, crisis meetings and customers calling to ask where their order is, the reality of the workshop rarely needs theory.

What is observed less often is a structured analysis of these dysfunctions. That analysis explains why they persist and what actually makes them solvable.

Here are the eight most common challenges we encounter in industrial SMEs across Europe — particularly in metalworking, steel processing and material transformation.

1. Production delays that pile up without anyone knowing why

In many workshops, coordination between the methods office, planning and the shop floor still relies on verbal exchanges, paper printouts or Excel files shared by email. The result: information arrives late, incomplete, or not at all.

A last-minute change to a manufacturing order doesn’t reach the operator. A bottleneck on a machine is only spotted at the end of the day, when the next morning’s delivery is already at risk.

Companies that solve this centralize the information flow in a single tool, visible in real time by all stakeholders: planning, methods, workshop, quality and management.

2. Human errors generated by manual entry

A misplaced decimal in a spreadsheet. A reference copied by hand from a purchase order. A cycle time estimated from memory rather than measured. In an industrial workshop, these micro-errors have major consequences: under-priced quotes, mis-manufactured parts, customer returns, penalties.

Manual entry is not a competence problem. It is a problem of volume and repetition. Humans were not built to retype the same data ten times a day without ever making a mistake.

High-performing companies eliminate unnecessary re-entry by connecting their tools together. Data captured once at the source is automatically available everywhere it is needed.

3. The traceability gap: not knowing what happened

Which material was used in this batch? Which operator performed this weld? At what time was this part inspected, and by whom? In many industrial companies, answering these questions takes a long time — or remains impossible.

This traceability gap becomes critical in case of a customer claim, quality audit, dispute or batch recall. Without a reliable history, you cannot demonstrate the conformity of a production run or pinpoint the source of a defect.

Companies that have mastered this topic automatically record key data at every step: materials, batches, operators, times, inspection results and non-conformities.

4. Growing pressure on lead times and quality

Industrial customers are raising their expectations: shorter deadlines, deeper customization, more detailed compliance documentation, less tolerance for non-conformities.

This pressure reflects a structural transformation of industrial supply chains. Responsiveness and reliability have become selection criteria as important as price.

Companies that adapt embed quality control directly into production. Inspection points are defined in the software, results are entered by the operators themselves, and non-conformities automatically trigger alerts.

5. The information silos that paralyze the global view

In a typical industrial SME, production data sits in the MES or on paper, inventory in Excel, orders in the ERP, costs in accounting and customer exchanges in mailboxes.

No one has the full picture. Everyone works with one piece of the puzzle.

These silos are not always the result of poor organization. They are often the natural outcome of tool stratification over time. Each department adopted its own solution, without interoperability being designed in from the start.

The answer is not necessarily to replace everything. It is to connect data sources to create a coherent, shared flow.

6. The lack of real-time visibility on production

How many parts were produced this morning? What is the scrap rate on line 3 over the past week? Will manufacturing order #4521 ship on time?

Without a real-time tracking system, these questions don’t get an immediate answer. Indicators are consolidated at the end of the day, end of the week or in production meetings. By then, it is often too late to act.

That is exactly the role of a structured industrial production digitalization approach: connecting flows without imposing a generic tool that ignores field realities.

High-performing companies deploy production dashboards accessible in real time from both the office and the workshop.

7. Material waste and invisible overcosts

In cutting, forming or machining trades, material loss is unavoidable. Its scale, however, is rarely measured precisely.

A mistake in a cutting plan, a misinterpreted tolerance or an approximate machine setting generates scrap. Without fine traceability of material consumption per manufacturing order, it is impossible to identify the loss centers.

In a context of pressure on raw material prices, this control is no longer optional. Companies that progress associate every material consumption with a specific manufacturing order and detect deviations in real time.

This real-time data also becomes a prerequisite for reliable estimation, particularly in projects involving AI-driven production time calculation.

8. Resistance to change: the human challenge of digital transformation

Introducing new software in a workshop means changing the habits of people who have mastered their craft for years. Resistance is not irrational: it is the natural response to a change perceived as one more constraint.

Failed digitalization projects are not always technical failures. They are often adoption failures.

Companies that succeed involve floor teams from the design phase. Operators, team leaders and production managers who help shape the tool feel ownership very different from those on whom a finished solution is imposed.

These challenges have something in common

Delays, errors, silos, lack of visibility, waste, resistance to change: these eight challenges are not industry fatalities. They are symptoms of a gap between the real complexity of industrial processes and the tools used to manage them.

The good news is that the gap can be closed. Not by replacing everything overnight, and not with off-the-shelf software that ignores your specifics. But by building, step by step, a digital environment fitted to your reality.

At DevTeix, we have supported more than 150 manufacturers along this path for over 30 years. Our starting point is always the same: come to the floor, understand before proposing, and build tools your teams will actually want to use.

Do you recognize one of these challenges? Contact us for a free field audit: 30 minutes, with no commitment, to identify your real blockers.

Frequently asked questions

What are the main blockers to industrial performance? +

The most frequent blockers are production delays, data entry errors, lack of traceability, data silos, no real-time visibility, material waste and resistance to change.

How do I reduce production errors caused by manual entry? +

The best approach is to remove unnecessary re-entry by connecting tools together. Data captured once at the source should automatically be available in the ERP, the production system, the workshop and the dashboards.

Why is industrial traceability becoming essential? +

Traceability lets you demonstrate compliance, identify the source of a defect, manage quality audits and protect the company in case of dispute or batch recall.