Customer success

Quarry 4.0 – Fabric passes the IoT test at Basalt

Heiko Bornemann
Head of IT Infrastructure, Basalt AG

We are truly impressed with how quickly we were able to achieve the desired results within our joint Fabric PoC. In the end, the results in fact exceeded our expectations. Thanks to our new data platform, we are now perfectly prepared to gradually guide our company towards Industry 4.0. With their extensive data expertise, our consultants from ORAYLIS were the missing piece of the puzzle for us to successfully implement a project of this kind.

At a glance

  • Client: Basalt AG
  • Industry: Building Industry
  • Project objective: Implementing a cloud platform with Microsoft Fabric for the business use of IoT data
  • Technologies: Microsoft Fabric

Basalt AG’s products are quite literally fundamental to our society’s mobility. A significant share of the asphalt on German roads originates from the company’s quarries and production sites. The same applies to the track ballast that provides the basis for our railroads. Basalt covers the entire supply chain from raw material extraction to provision at the point of use, as well as recycling and disposal.

Asphalt-Maschine aus der Vogelperspektive

A considerable share of the asphalt laid in Germany originates from Basalt plants. (Basalt AG)

As a result, sustainability-related topics play a major role at Basalt. At the same time, they are also posing the greatest challenge: It is not only about meeting the continually growing demands of the government and the public. Sustainability is in fact a key factor in production within the natural stone sector and is therefore one of the most important business objectives. Improvements in this area always can potentially create a competitive edge for the company in economic terms as well. However, how do we manage to further promote sustainable actions in this day and age?

Those in charge at Basalt already have the answer to that question: “We simply have to make use of the wide range of data resources available to us across the entire supply chain,” says Heiko Bornemann, Head of IT infrastructure. “Currently, this treasure trove of data is scattered across almost 300 locations in Germany, buried within various systems and data silos.” This is why the company has decided to launch a large-scale digitalization initiative aiming at centralized data that can be made available for various types of application scenarios across the company.

Digitalization = Industry 4.0

At Basalt AG, digitalization means a commitment to the implementation of Industry 4.0 and its very foundation, the Internet of Things (IoT). This is because, until now, the extensive data streams from large stone crushers, for example data on capacity utilization and productivity, have not yet generated any business value. Heiko Bornemann explains: “In the future, we want to combine the sensor data from all plants in an Operational Data Management System and then link it to the rest of our company data. Of course, the data should then be made available for business applications in real time if possible.”

Zwei Basalt-Mitarbeiter im Steinbruch

The extensive data streams at the Basalt quarries have not yet generated any business value until now. (Basalt AG)

Basalt is not only hoping for better decision-making and a number of new insights. The company also intends to use the Operational Data Management System to further interconnect people and machines as well as to digitalize and automate processes. Heiko Bornemann underscores that Basalt is not only focused on sustainability targets: “We are also facing site-specific challenges such as the generational change and a shortage of skilled labor. We consider automated processes to be a lever, helping us to break down knowledge silos and to deploy our valuable staff in a more efficient manner.”

With these requirements in mind, Basalt started its search for a suitable data technology and the right partner to implement it. One thing was unnegotiable from the beginning: It has to be a Microsoft solution because the existing systems are already running in the Azure Cloud.

Microsoft Fabric is the base technology

During their research, the team repeatedly came across Fabric – Microsoft’s brand-new technology approach that allows a complete data platform to be rolled out and ready to use at the touch of a button. “We had already attended a presentation in Munich,“ says Heiko Bornemann. “To us, it sounded like the ideal concept, since we are hoping for a high degree of autonomy and would like to do as many things ourselves as possible.” After an individual presentation by Microsoft, Basalt opted to trial Microsoft Fabric within a sponsored Proof of Concept (POC), as, although the technology is currently celebrating its first notable practical successes in many areas, it has so far only had limited opportunities to prove itself in Industry 4.0 scenarios.

When it came to choosing the ideal partner, ORAYLIS GmbH was able to impress Basalt by focusing on the essentials: “We had conversations with several service providers. Ultimately, to me, the decisive factor was the fact that the ORAYLIS consultants quickly grasped our use case and shared tangible ideas, instead of jumping straight to huge digital twin concepts. Additionally, ORAYLIS boasts proven Fabric expertise. Thanks to its early involvement in introducing and promoting the technology, Microsoft recently selected ORAYLIS as one of its few “Fabric Featured Partners” in Germany.

Real-time sources can be integrated smoothly

The basic objective of the PoC was to link plant data with standard business data for the first time and to visualize the results on a dashboard in near real time. This meant bringing together all key interest groups involved in company-wide digitalization. In addition to representatives from IT infrastructure, these included the “Central Technology” department, which is responsible for machine systems, and the “Industry Solutions” department, which is in charge of operational systems.

Fabric expert Dirk Ohligschläger was part of the project as solution architect. (ORAYLIS GmbH)

Dirk Ohligschläger, Senior Solution Architect at ORAYLIS, describes the next steps as follows: “We first set up our central platform using Fabric, which was very easy. It actually only takes a few steps to set up the entire architecture, including data integration, processing and the respective analysis tools.” Afterwards, the platform was linked to the four pilot plants. “The bridge between stone crusher and platform serves as an edge device. It receives the data streams from the plant sensors and feeds them directly into our cloud database. And just like that, we were able to see the first real numbers in Power BI after just a short time. The integration process was completely trouble-free.”

Our Fabric expert has only reported a few minor hitches along the way to the first real-time results at Basalt: “At one point, we exceeded our capacity limits, which led to Reporting being down for a few hours. However, that was simply a matter of configuration. Moving forward, we’ll know better. In my opinion, Fabric has clearly passed our IoT test.”

Expectations were in fact exceeded

Heiko Bornemann, too, is highly pleased with the PoC’s progress: “We are truly impressed with how quickly we were able to achieve the desired results. In the end, our expectations were in fact exceeded. It doesn’t stop with feeding data from the stone crusher to the dashboard via the cloud; ORAYLIS has already integrated filters for specific sites and set up a dashboard for individual figures.” At the same time, another business case was implemented; an energy monitoring system which critically analyzes the plants’ energy consumption. This system will also be a fixed part of the Operational Data Management System.

According to Heiko Bornemann, the teamwork between Basalt and ORAYLIS was one of the project’s main success factors: “It was a perfect match, especially since we lack the necessary expertise in data processing and the linking of new sources. The consultants at ORAYLIS don’t keep their expertise to themselves. The whole team has benefited from them sharing their knowledge. This is why it is safe to say that ORAYLIS was the missing piece of the puzzle for us to successfully implement a project of this kind.”

Driving digitalization with purpose

At the same time, the work of the dream team has already generated appetite for more among the company: “Our colleagues, especially those working on the Operational Data Management System, were already showing great enthusiasm before the PoC had even ended. They were keen to immediately get started on validating even more data and introducing further requirements. This was of course highly motivating for us. However, we have to make sure to not get carried away too quickly, because we are not working with a live system yet.”

To Heiko Bornemann, that means to pause for a moment and take stock: “I believe that by introducing the Fabric platform, we laid the ideal foundation for gradually digitalizing our company. We see huge potential, especially in terms of Predictive Maintenance and Alerting. We will analyze the PoC’s results precisely and then structurally integrate further data and approach new use cases. The course of action is now clearly defined.”

turn your data into value.

At a glance

  • Client: Basalt AG
  • Industry: Building Industry
  • Project objective: Implementing a cloud platform with Microsoft Fabric for the business use of IoT data
  • Technologies: Microsoft Fabric
Dirk Ohligschläger
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Customer success

How BD Rowa reduces the downtimes of order picking systems

Dr. Dorothee Gösswein
Project Manager, BD Rowa

Reliable customer service and continuous improvement are our top priorities. ORAYLIS quickly and efficiently managed to build a digital cloud-based platform providing us with the data from our machines in near real time while ensuring high security standards.

This solution enables our service team to immediately react to technical problems and to proactively prevent malfunctions. It helps us to reduce the downtime of our machines even further, resulting in higher availability our clients can benefit from. We are therefore glad to be able to count on the ORAYLIS team’s support in the future, turning our visions into success.

At a glance

  • Client: BD Rowa Germany GmbH
  • Sector: Industry/order picking systems for pharmaceuticals
  • Project goal: Providing real-time analyses of machine data in applications for service and customers
  • Technologies: Microsoft Azure IoT, Databricks Power BI Embedded

Becton Dickinson Rowa Germany GmbH (BD Rowa) is one of the world’s leading manufacturers of order picking systems for pharmacies, hospitals and pharmaceutical wholesalers. The complex systems of the company based in the small community of Kelberg in Rhineland-Palatinate support healthcare facilities in 53 countries to efficiently store and manage the supply of pharmaceuticals. In this context, smooth service processes are indispensable. Any downtime of the costumer’s systems would lead to bottlenecks in the supply of medicine to patients.

“Since we are a part of the health care system, our work is based on speed, efficiency and safety. This is why offering reliable customer service for our complex systems is of great importance. At the same time, we continuously strive to improve,” Dr Dorothée Gößwein, Project Manager at BD Rowa, says. “Digitalisation and the use of real-time data open up completely new opportunities for us. Just like we wanted to improve our products, we also wanted to be able to have more time for our customers, while technology takes care of the other tasks automatically.”

BD Rowa Automaten - So senkt BD Rowa die Stillstandszeiten von Kommissioniersystemen

Agile methods guarantee reliability

The set goals were clear, but how could the plan be put into practice – especially in terms of technology? As Dr. Dorothée Gößwein explains, “For such a complex project, you need the right partner on your side. The solutions proposed by ORAYLIS immediately convinced us that they would be the best partner for us to implement this project. The team had a clear idea of what our solution should look like. At the same time, the agile working method of our partner always assured us that we were on the right track.”

Data delivered in real-time

ORAYLIS built a state-of-the-art digital platform in the Microsoft Azure Cloud. Previously, machine data was collected on hardware servers in a lengthy process and could only be processed or forwarded at fixed times. The platform now enables a centralised data collection from all customer plants and makes it available in near real time. This applies not only to basic information, error messages or temperature data that the cooling units of the plants continuously send; even extensive videos generated by cameras inside the machines are available immediately. For this purpose, highest security standards in the transfer of data were indispensable.

Avoid malfunctions before they occur

BD Rowa’s support staff can now quickly and efficiently access all of the relevant information via a user-friendly web application. “This enables us to proactively support our customers,” Dr Dorothée Gößwein says enthusiastically. A return channel in the cloud solution even makes it possible to carry out necessary work remotely. Likewise, enquiries to the hotline can be processed with the constantly updated app data without lengthy waiting periods. In addition, the database allows forecast scenarios that can be used to avoid malfunctions in the systems before they occur. “All of these new possibilities help us to further reduce the already low downtimes of our plants, so that our customers can benefit from even higher availability.”

In the future, the cloud approach in Azure will make it possible to flexibly add more and more attractive functions and digital services. For example, BD Rowa’s next step is to use its existing data for an application that allows customers to independently gain valuable insights into the performance of their machines. “Therefore we are very pleased that the ORAYLIS team will continue to support us in our future plans as a guarantee for success ,” concludes Dr Dorothée Gößwein.


turn your data into value.

At a glance

  • Client: BD Rowa Germany GmbH
  • Sector: Industry/order picking systems for pharmaceuticals
  • Project goal: Providing real-time analyses of machine data in applications for service and customers
  • Technologies: Microsoft Azure IoT, Databricks Power BI Embedded
Dirk Ohligschläger
turn your data into value

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Customer success

Predictive maintenance: machine builder inspires customers with AI-based forecasts

At a glance

  • Packaging equipment manufacturer enhances its products with data-based services
  • AI-supported forecasts reliably predict machine downtimes and defects
  • Efficiency gains range from warehousing to overall productivity

The business situation of our client

In global competition, efficient production processes are a decisive factor for success. Against this backdrop, digitalisation offers manufacturers of machines and production lines many opportunities to inspire their customers with data-based services from the field of Artificial Intelligence (AI). For example, we implemented prognosis scenarios for predictive maintenance for a globally operating machine manufacturer, which significantly increase the efficiency of the manufactured plants.

The objective of our client was to:

  • Prevent machine downtimes
  • To exclude machine damage
  • Minimise downtimes
  • Identify typical malfunctions
  • Optimise maintenance intervals
  • Improve productivity

The solution for our client

The starting point for our data-based forecasting services is historical as well as current machine data. On this basis, a prognosis model is set up and continuously improved:

  1. We continuously collect the sensor data of the machines
  2. We supplement current measured values with quality-assured master data
  3. We generate diagnostic data on machine problems
  4. We train a machine learning model on the basis of the diagnostic data.
  5. We continuously compare our optimisation algorithms with real-time data.

How data turns into new values

By using our AI-based prognosis model, the machine operators can specifically prevent possible malfunctions and defects. The availability of the machines in operation has improved significantly as a result. But our customer also benefits from the optimisations at its customers: Testing costs and costly recall campaigns are avoided, and warranty costs are significantly reduced. At the same time, customer satisfaction and loyalty have increased.

The improvements for all involved in concrete figures:

  • Machine defects and failures are detected 75% proactively
  • Downtimes have been reduced by 50 to 80%.
  • Maintenance costs have been reduced by 50 to 80%
  • Warranty costs have been reduced by over 50%
  • Inventory costs reduced by 20 to 30%
  • Overtime costs reduced by 20 to 50%.
  • Overall productivity increased by 20 to 30%.


turn your data into value.

At a glance

  • Packaging equipment manufacturer enhances its products with data-based services
  • AI-supported forecasts reliably predict machine downtimes and defects
  • Efficiency gains range from warehousing to overall productivity
Jens Kröhnert
turn your data into value

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Customer success

Digital transformation in heating technology: How to predict malfunctions and reduce consumption costs

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer

The business situation of our client

An internationally leading manufacturer of heating systems demonstrates what is possible when data is used consistently. As direct customers of the manufacturer, heating engineers have always been able to act only reactively. System defects could only be detected when they occurred. And the necessary spare parts were usually not readily available, which meant a lot of work for the fitter and cold nights for the heating user.

Together with ORAYLIS, those responsible now wanted to tackle the digital transformation of the company and create new values on different levels through continuous monitoring of the extensive heating data. On the one hand, the objective was to enable the heating engineer to take anticipatory measures and optimise maintenance intervals. On the other hand, it was necessary to improve the settings of the heating system and to reduce consumption costs.

The solution for our client

The core of our solution is a flexibly scalable platform in the Microsoft Azure Cloud. A long-term hardware solution in the company’s own data centre would hardly have been calculable due to the high data volume. On the cloud platform, the continuous stream of operating, configuration and status data of the heating systems is collected and compared with existing system data. The findings are first displayed in a real-time dashboard so that the manufacturer can immediately detect irregularities and proactively intervene. At the same time, typical consumption patterns are identified, such as for the use of hot water or the heating system as such. On this basis, activity and rest phases of the systems can be intelligently controlled. Last but not least, we train forecast models with the current and historical data. These not only make increasingly reliable statements about the expected consumption. Likewise, forecasts on malfunctions and individual wear parts, including recommendations for action, are automatically delivered to the service technician’s mobile phone.

How data turns into value

Everyone involved benefits from the many possibilities opened up by our cloud solution:

Consumers

  • The data-based, automated control of the systems saves up to 20 percent in costs.
  • Continuous monitoring of the heating data ensures reliable system operation

Installer

  • Positioning as a modern service provider that ensures smooth operation
  • Massive savings in time and effort through intelligent supply chains

Manufacturer

  • Positioning as a technological innovation driver and industry pioneer in the heating business
  • Installers and consumers increasingly opt for the manufacturer’s products and remain loyal to them


turn your data into value.

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer
Jens Kröhnert
turn your data into value

Let’s get started!

Do you also want to seize the opportunities of digitalisation and stand out from your competitors with data-driven services?

Join #teamoraylispeople

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of data with us