Blog
Welcome to InUse new layout !
One of InUse’s key feature is the capability to build you own web application on which you’ll be able to deliver digital services like predictive maintenance or production optimization. As the app...
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Reshaping posts in InUse business application
The Post is a central object in the InUse business app. It is the way for machines to communicate directly with the users, and for users to interact. It can even be used to input data manually. Over t...
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SSO : Access your key applications from InUse
As we access more and more software and applications that require the use of credentials, the multiplication of identification procedures and interfaces has become a real source of inefficiency for us...
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Corrective maintenance: how to accelerate the resolution of breakdowns?
Corrective maintenance : a necessary modernization To remain efficient, manufacturers need a corrective maintenance system that has a minimal impact on production. However, one of the key i...
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Food traceability software: digitalized reports in one click
For sanitary and compliance reasons, traceability systems are particularly sensitive in certain industries: pharmaceutical, dairy or other food industries. European regulations require that each batch...
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How to optimize Cleaning In Place duration ?
Cleaning in place: a key process that is often under-optimised In process industry, Cleaning In Place is often carried out automatically by cleaning stations directly integrated into the pr...
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How to digitize preventive maintenance operations?
What are the benefits of a connected preventive maintenance? In the majority of cases, preventive maintenance operations are based on the equipment manufacturer's recommendations. They're p...
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Monitor simply and transparently your data storage
Cloud costs can be complex to forecast and monitor The world before : one cloud, but many parameters If you’ve started implementing an IoT data project, you may have faced the difficul...
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How to identify the factors that influence industrial performance ?
Identifying factors impacting industrial performance: the case of batch production For manufacturing process companies and factories operating their production by batch, optimising producti...
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Extending filling valves lifespan through predictive maintenance
Predictive maintenance: an essential lever for increasing production lines uptime The use of the Internet of Things (IoT) and artificial intelligence technologies is becoming increasingly c...
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Six steps to make your IoT data journey easier
A brand new navigation Successfully implementing an IoT project is complex. Whether you want to build a predictive maintenance service for your customers or a smart performance application for your p...
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Create your custom business app without writing a line of code!
When setting up an industrial IoT project, the aim is often the creation of one or more business applications to present enriched data, share information and exchange around the connected services dev...
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Explore deeper your data using hosted python notebooks
How to easily explore data? If you’re looking for a tool to load, manipulate and explore your data, there’s a good chance you already encountered Notebook whether you’re a data scientist, data...
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Connected customer service in the factory 4.0 era: feedbacks from Pellenc ST
It is very likely that your recyclable household waste passes through one of Pellenc ST’s first-rate machines. This French company, has been deploying services for two decades and has been using the...
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OPC UA: for an interoperability between machines
Making the machines talk? Easy. So, which language? This is likely one of the main challenges faced by the digital industry. Indeed, it isn't easy to operate equipment that sometimes have several deca...
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Cleaning in place: data at the heart of the CIP optimization
Cleaning-In-Place* represents a significant cost for industries which require high levels of hygiene like dairy, beverage, brewing through water, energy, and chemical products’ use as well as the...
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Machine Teaching: “AI as a means to boost collective intelligence”
Machine Learning, AI, Lean 4.0 and other concepts promise to enhance industrial performance thanks to big data. But what about human know-how? What about the instinct of the experienced field technici...
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