Female Factory Supervisor Checking Products in Industrial Production Hall.

When It’s 30°C Outside and… 1500°C in the Hall. MES in an Extreme Environment

Summer heat can take its toll, as we have recently experienced firsthand. But what about people working physically in a production hall where machines can heat up to over a thousand degrees Celsius? One of the largest iron foundries in Europe – Vald. Birn – operates in such conditions.

Vald. Birn is a Danish company with a century-old tradition; its origins date back to 1893. Currently, the enterprise employs 1,000 workers across four factories, producing up to 3,000 different assortment items in the field of metal castings. Their clients include key automotive brands such as Volvo and Mercedes.

The metal products themselves – often critical from a safety point of view – must absolutely meet rigorous quality requirements. In such a demanding and (especially during the summer) extreme environment, there is no room for errors. That is why the digitalization of production turned out to be crucial.

Replacing Binders with an IT System

For many years, production management at Vald. Birn relied on sheets of paper. Leif Jensen, the company's Financial Director, admits that "sticky notes and kilometers of binders" piled up everywhere on the desks. This significantly slowed down the documentation process and also caused limitations in data access.

Furthermore, the company made the decision to completely overhaul its ERP system. However, it turned out that the previous program was too much of a challenge for the operators working directly on the foundry floor, who were not accustomed to handling complex IT interfaces. Therefore, they needed something more intuitive to use.

An MES System Resistant to 1500 Degrees

To solve this problem, in parallel with the implementation of the main ERP system, the company launched the Operator MES software. Currently, it acts as an agile extension of the Infor M3 business system in a harsh production environment.

"For us, the investment in Operator was not a matter of fancy acronyms like ROI or TCO. IT is primarily supposed to support and facilitate production, as well as secure our certification audits to the greatest extent possible."

LeifJensen

Financial Director | Vald. Birn

The implementation itself was a massive logistical undertaking. Inside the foundry, among crucibles heated to 1500°C and heavy machinery, a staggering 170 terminals were successfully deployed.

The analysis department, located directly on the production hall, became the central point to which samples flow continuously via a special pneumatic tube system. In the laboratory, the composition of 20 different alloys is verified (including the content of elements such as titanium, lead, copper, and zinc). All results of these measurements immediately go to the Operator Platform, where they are automatically linked to specific customer orders.

How to Achieve a Defect Rate Below 2%

The management of Vald. Birn considers the implementation of the Operator system a "great success from day one". The project brought results that permanently revolutionized the daily functioning of the foundry. Among the greatest benefits the company noticed were:

  • Paperless approach – the paper documentation system was completely eliminated. Instead, the registration of orders, processes, and quality measurements was automated.
  • Full Traceability – by ensuring strict quality control, the defect rate (scrap rate) was maintained at a level below 2%.
  • Error identification – this process was significantly simplified and accelerated, facilitating an immediate reaction to irregularities.
  • Audits – the company reached a completely new level of process documentation. This resulted in an official commendation from the Bureau Veritas auditors during certification.

Intuitiveness That Builds Data Discipline

Importantly, the success of the project was determined not only by the technology itself, but by its reception by the employees – including those who were not previously used to IT solutions. Vald. Birn operators received a precisely personalized interface. Only data and registration options strictly corresponding to their current tasks appear on their screens.

The system gained tremendous appreciation, and today the employees themselves actively submit requests for new improvements and shortcuts. They understood how important correct documentation is, which translated into tremendous discipline in entering information into the Operator Platform. This is also proven by the implementations carried out in other plants of the group, including Kockums.

"Quality and discipline in data collection are crucial. As they say: 'Garbage in, garbage out'. After the implementation of Operator, our process documentation reached a completely new level."

LeifJensen

Financial Director | Vald. Birn

Thanks to the combination of advanced MES technology with intuitive operation, Vald. Birn proves that full quality control is possible even in the hottest industrial environment.

Comments (0)

Leave your comment

No comments here yet, start first!

Leave your comment
Add the comment

You may also read:

The True Cost of a Lack of Data. All About the Role of OEE and TEEP Indicators

“If you can’t measure it, you can’t improve it.” It is hard to disagree with the words of the CEO of one of the factories we have worked with. Without precise data regarding the time and money spent on production downtime, it is difficult to maintain control over the performance of your machinery park. Moreover, simply having an ERP system will not solve the problem if the production floor lacks MES-class tools. True control over production begins with properly defining downtime categories. It is also necessary to distinguish between key performance indicators – OEE and TEEP. OEE and TEEP Indicators – What Do They Measure and How Do They Differ? Understanding the current equipment effectiveness at the level of a production shift requires the use of appropriate indicators. In the case of the Operator Platform, the Machine Status Monitoring module allows for an in-depth analysis using two key measures: OEE (Overall Equipment Effectiveness) – This indicator is based exclusively on the scheduled production time. It shows the utilization of a machine during the time it was actually scheduled to run. OEE consists of three components: availability, performance, and quality. If a machine runs for one shift (8 hours) and achieves ideal parameters during this time, its OEE will be 100%. Thus, the indicator allows not only for the optimization of production but also for the identification of losses during the shift. TEEP (Total Effective Equipment Performance) – A measure that takes into account the total calendar time – 24 hours a day, 7 days a week, 365 days a year. Therefore, it shows the maximum potential of the factory, taking into account so-called planned losses (e.g., holiday breaks). Because of this, a machine that runs for one 8-hour shift a day will have a TEEP of only 33%. This is due to the fact that it is turned off for the remaining 16 hours. Why is this so important? OEE shows where we are losing money due to breakdowns, changeovers, and micro-stops. TEEP, on the other hand, reveals the hidden capacity of the factory. It often proves that instead of spending millions on new production lines, it is enough to invest in an additional shift or optimize planning in the ERP system. How to Properly Categorize Downtime? Before we start analyzing the smallest micro-stops, the main groups of line stoppages must be properly defined. Implementing a system like Operator MES forces an organization to structure its losses. The foundation is a clear division into planned and unplanned downtime. Planned downtime includes machine changeovers, scheduled maintenance, or employees’ breakfast breaks. Unplanned downtime, on the other hand, includes mechanical failures, speed losses, and shortages of production materials. Thanks to the Operator Datalogger module, connected to terminals on the shop floors, the system gains full context: Cause tree – Downtimes are categorized hierarchically, which allows for the analysis of the sources and frequencies of individual events. Context from the operator – Using a terminal, the operator manually assigns a detailed cause code. They can also add notes, which may concern, for example, the machine operating at a reduced speed. The truth about changeovers – The system precisely separates actual production time from machine setup time. This is often the largest area of hidden losses in manufacturing plants. A Step into the Future with AI Once manufacturing plants master the basics – defining downtimes and starting to measure OEE and TEEP – they can reach for the most advanced tools. The Operator OEE solution, integrated with the Manufacturing Intelligence platform, offers support at the level of artificial intelligence. Machine learning algorithms provide optimization recommendations based on historical data and performance patterns. The ACIP (Automated Continuous Improvement Process) mechanism uses AI to predict potential quality problems and anomalies in machine operation. Are you looking for a technology partner who can help with the proper implementation of an MES system and a precise downtime grid? We encourage you to contact us and schedule a software demo.
Industrial Team Analyzing Data in High Tech Manufacturing Plant.
Operator
zweryfikowano

0/5

OPERATOR SYSTEMS A/S

Accelerated Improvement


Central Europe
+1
50 people
View profile
Industry
Automotive, Meblarska, Produkcyjna, Spożywcza FMCG, Produkcja maszyn, Produkcja zaawansowanych technologii i elektroniki, Cyfrowa transformacja przedsiębiorstw
expand