e-pimm estonia

HAI customer in the picture: E-Piim’s new cheese plant in Estonia

The brand-new dairy factory of E-Piim in Estonia has produced its very first Cheddar cheese, and HAI was part of the action.
Randel Veerits, Plant Director: “We discovered that HAI’s software is used by most major dairy producers as an information system for their factories. Their hands-on experience has proven very valuable, also during the startup.”

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Gartner: Stop worrying and love the cloud

Gartner, one of the world’s leading IT advisory firms, is clear about it: Embrace the Cloud, they say, even for business-critical applications. The benefits outweigh the drawbacks. This aligns with the trend of a growing number of factories using the cloud to process operational factory data in real-time, just like the new hai-app platform from HAI on the MS Azure Cloud.

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HAI wins SAS Hackaton 2023 with Team Notilyze

HAI, together with data science specialist Notilyze, won the SAS Hackathon competition of 2023 in the Manufacturing category.
The winning case is a smart model that focuses on further optimizing the industrial production of cheese.
For the data analysis, a whopping two years’ worth of historical data from hai-app, HAI’s cloud platform, was utilized.

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HAI and energy-IO join forces with a system for energy efficiency

Industry can save 20-30% on energy consumption. This represents savings of hundreds of thousands of dollars.

How? Simply by working smarter!

The collaboration between energy-IO and HAI gives manufacturers detailed insight into their energy consumption in relation to all relevant information from the production process.

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Hackaton Winner Notilyze

Winning the worldwide SAS Hackaton!

Team Notilyze/HAI has won the SAS Hackaton with a Manufacturing Insights tool for statistical analysis and predictive modelling.

The tool provides insight in managing energy consumption and helps to optimize production processes.

The tool is applied to data from a distillation process in a Dutch factory.

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The Engineering Business Intelligence project kicked off!

HAI plays important role in the Engineering Business Intelligence project, part of the Industry 4.0 Innovation Program, lead by Universities and the Institute for Sustainable Process Technology (ISPT).

EBI uses the hai-app software platform for cloud data collection and real-time interactive dashboards for Production, Quality and Energy

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SAS Hackathon

Notilyze and HAI team up to create CO2 reduction solutions for industries

Colin Nugteren (data science expert) and Rob Kooijmans food industry expert) partner with HAI in its quest to provide industries with smart software solutions to deliver easy operator tools that have direct impact. Impact on tackling industry challenges like utility consumptions, product quality, production efficiency, wastewater treatment and emissions.

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Hai for german speaking countries

HAI for German speaking countries

HAI expands its operations in the German-speaking countries.

The HAI software is used to shape the digital transformation in factories across the globe.

HAI has a strong position in semi-process industries, like food/feed, chemicals, biotechnology, pulp- and paper, and textiles.

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Kanarie in de Kolenmijn

Environmental monitoring: the canary in the coal mine at a milk powder factory

Operations Manager Arie van Aalst had everything running smoothly in his brand new dairy factory. Or so he thought. Until that one day in spring, when everything was turned upside down by an outbreak of Salmonella. Months later, when the factory was allowed to restart, he had learned a valuable lesson. The canary in the coal mine had definitely sent a signal… So why did this remain undetected?

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Rest Assured


HAI Cloud software solutions. Rest assured, knowing that the factory is running like clockwork; with your data always readily available.

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batchraport HAI lights engels

I wish I had a DIGITAL Batch report!

Digital batch reports provide significant benefits: it’s faster, simpler, more complete and more reliable. But how do you make this happen?
Batch reports become more and more important in the food industry. After all, it includes an overview of all quality control records, production checks, and production data of a batch.
Many food manufacturers still work with paper-based records or pdf files to record their quality tests and production checks. This means that batch release and complaint investigations require a lot of manual work.

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Manage Digital Factory from Home

A smart way to manage your digital factory from home

The Covid-19 measures have created a new reality for the way factories are organized. For many factories, there is now a minimum of factory personnel on-site. Management and supporting plant personnel work predominantly from home. People working remotely often struggle to stay well-informed on exactly what’s happening in the factory.
Thus, the new reality of factory personnel working from home has intensified the need for plant information systems in the cloud: with a digital factory we have all the information we need, anytime, anywhere.

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inline measurement of product quality

Super smart: in-line measurement of product quality

In-line measurement of product quality versus of off-line quality tests. It helps.

Why? Because you can immediately notice if the production process is not performing optimally: it allows you to timely adjust your production process, in order to prevent rejected batches and ensure product quality consistency.
So, is the introduction of in-line measurement always a no-brainer? I’d say yes, provided you take the right approach.

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data hard to find

“Data – I mean the right data – is hard to find”

“Data – I mean the right data – is hard to find”. This observation comes from a Lean 6Sigma Manager in the Food Industry. He understands the value of CORRECT data. Indeed, it appears that food manufacturers often seem not to have the right data in place to solve production and quality issues.

However, a professional plant information system enables fact-based decision-making. Decisions about: What are the reasons for a Rejected batch? Can we improve quality? Can we increase output?

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Reporting and analysis tools

Reporting- and analysis-tools for Food Factories: why wait?

It’s easier to check the current temperature in Tokyo than the temperature trend of a production batch last week. An app notifies rain showers in ten minutes, but which app notifies that the production process needs adjustment to prevent off-spec? About the business case for smart use of data in factories.

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