News ORTEC

August 28, 2018 | Rotterdam (NL)

Maintenance & Data: Can Impending Machine Failure Be Prevented – A Round Table Session Hosted by Hans Spaan of ORTEC at iTanks’s iPXL

Identify new opportunities for innovation during iTanks Innovatie Paviljoen XL (iPXL) at RDM Rotterdam on 20 September. Join Hans Spaan during the round table session Maintenance & Data: Can Impending Machine Failure Be Prevented. In this session, Hans will facilitate the knowledge sharing on how to turn sensor data into actionable insights. Next to that ORTEC will be sharing best practices on data driven decision-making to create impact at booth 65.

Digitalization has a tremendous impact on industry processes. Sensors allow for continuous monitoring and the collection of huge amounts of data. Various companies have already applied this and other data in their production process to drive automated process control or even have incorporated it into business and logistics planning. However, unleashing the potential of this data to increase operational efficiency remains challenging. For those who are professionally involved in maintenance, purchase, replacement, expansion, renovation or repair of assets a visit to iPXL is worthwhile to get up to speed on technological innovations and solutions in this demanding field. iPXL is an innovation festival in the midst of Rotterdam’s innovation center; the Onderzeebootloods at RDM Rotterdam. The festival is organized by iTanks in collaboration with Maintenance Next and gathers 2000+ visitors from the port related network wit an interest in innovation.

During the round table Hans Spaan, Director Data Science at ORTEC and participants will share experiences and practical cases on how to use sensor data and turn it into information. Can possible issues be identified and corrective actions be advised before they occur? Furthermore, there will be discussed how to make a start with a data-driven maintenance workflow.

If you’re keen on learning more on data driven decision-making in maintenance, pricing or supply chain management, please stop by our booth (no. 65) to learn from our (customer’s) best practices and start spotting lucrative (hidden) opportunities that will impact your business.

Can’t wait to discover how self-learning predictive maintenance can help your organization to realize cost savings? Get inspired by work we’re proud of by clicking here. Or would you like to be on top of opportunities to gain most value from your data? Follow our Data Science showcase page on LinkedIn.

Want to learn more about the event or would like to register? Feel free to visit the event website.

Let’s meet and share thoughts on 20th September!