Leveraging Digitalization at the

Operational Level

Learn how self-service analytics help ARLANXEO to perform better analyses, optimize maintenance, increase environmental

benefits and save operational costs

Leveraging Digitalization at the Operational Level

Learn how self-service analytics help ARLANXEO to perform better analyses, optimize maintenance, increase environmental benefits and save operational costs

Download Full Success Story

About Arlanxeo

ARLANXEO is one of the world’s largest producers of synthetic rubber and a wholly owned subsidiary of Saudi Aramco, which is a leading producer of energy and chemicals.

It develops, produces, and markets high-performance rubbers with sales of around EUR 3 billion in 2019. ARLANXEO has a presence of more than 12 production sites in nine countries and seven innovation centers around the world. Its products are used for a wide range of applications: from the automotive and tire industries to the electrical, construction, and oil and gas industries.

Their Journey & Business Challenges

ARLANXEO is continuously looking for ways to reduce costs, improve reliability and reduce energy consumption. The first steps in exploiting the process data, captured in their OSIsoft PI system, were taken by the subject matter experts at a site in Belgium.

As in many industries, digitalization is required to remain a market leader and enable future profitability. Based on the the results of the use cases and the enthusiasm of the users, it was then decided to expand the scope to the entire business unit.

Having production facilities in nine different countries increases the challenge to provide a constant product quality level. Moreover, ARLANXEO had to find software that would easily fit within their partially fragmented application landscape.

Solution & Implementation

Self-service industrial analytics proved to be a solution that could help ARLANXEO to profit from digitalization. By implementing self-service industrial analytics, engineers can now get better, more and faster insights into their operational production data.

ARLANXEO decided to gradually roll out the use of self-service industrial analytics of TrendMiner over their sites, starting with a pilot implementation at one site. During the first pilot implementation, ARLANXEO connected the TrendMiner self-service industrial analytics to the OSIsoft PI System and with help of TrendMiner during the onboarding began to look for use cases. Based on the first positive results, they expanded to another five sites and eventually worked towards a global rollout.

Use Cases

ARLANXEO started to expand the implementation and began to train a wider range of users across multiple sites. ARLANXEO’s global IT support structure is set up in such a way that all sites get the required amount of support from both ARLANXEO as well as TrendMiner specialists in implementing the software at their site. These use cases helped ARLANXEO to truly understand what benefts self-service industrial analytics could bring them.

ARLANXEO uses TrendMiner to:

Search for and find process cycles and specific behaviors very fast.

Create fingerprints to Monitor normal process behavior.

Find root causes for unplanned downtime making Predictive Maintenance possible.

Reduce very expensive asset repair costs by avoiding corrosion.

Cost savings due to reduced valve leakages.

Reduce environmental impact by reducing spills.

ARLANXEO’s Digitalization Journey

In this live presentation from the OSIsoft User Conference 2017 in London, Hermann Schuster, Chief Digital Officer at Arlanxeo, shares how his company leverages digitalization at the operational level with industrial analytics. Watch this video to learn how Arlanxeo:

Gained complex process insights
Integrated root cause analysis and process monitoring
Informed decision-making with insights from analytics
Proved the value of self-service analytics (use case)
And how analytics fit Arlanxeo’s global information strategy

Leveraging-digitalization-at-the-operational-level

Watch the ARLANXEO success story

Read ARLANXEO’s success story

Learn how self-service analytics helps ARLANXEO perform better analyses, optimize maintenance, increase environmental benefits, and save operational costs.

In this success story, Herman Schuster, Chief Digital Officer at ARLANXEO, explains how TrendMiner’s self-service analytics enables them to leverage digitalization at the operational level. With TrendMiner, ARLANXEO is now able to:

Search for and find process cycles and specific behaviors very fast
Go from unplanned downtime to Predictive Maintenance
Save costs due to reduced valve leakages
Reduce environmental impact by reducing spills

“The digitalization wave is rolling”

“You cannot wait until you have a final perfect solution before you start using big data tools. It’s better to do it in parallel: start using analytics while you continue to gather data.”