Free Download: Leverage Smart Data Analytics for Industry 4.0 Factories

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Don't miss this opportunity to download I-007e's latest free book, The Printed Circuit Assembler’s Guide to… Smart Data: Using Data to Improve Manufacturing. Learn how to leverage manufacturing with this latest title in our I-007e library. The Printed Circuit Assembler’s Guide to… series is specifically dedicated to educating the printed circuit board assembly (PCBA) sector and serves as a valuable resource for people seeking the most relevant information available.

Manufacturers need to ensure their factory operations work properly, but analyzing data is simply not enough. Companies must take efficiency and waste-reduction efforts to the next phase using smart data and advanced analytics to diagnose and correct process flaws.

Marius Stepanescu, technical director at ICCO EMT, says, "The Printed Circuit Assembler’s Guide to… Smart Data provides a very good description of the main challenges of collecting and handling smart data and analyzing it in the proper way."

Readers, especially factory managers, will learn about tools and solutions to aggregate and analyze isolated data sets that will enable better decision making and reduce cost and waste.

Download your free copy today! You can also view other titles in our full library.

We hope you enjoy The Printed Circuit Assembler’s Guide to… Smart Data: Using Data to Improve Manufacturing.

01/27/2021 | Dana Korf, Korf Consultancy

I-007e recently released a highly informative series of short webinars called Implementing Digital Twin Best Practices from Design Through Manufacturing presented by industry expert Jay Gorajia, the Director of Siemens Global Digital Manufacturing Services. The webinar is an excellent overview how data that is generated using a digital twin model can be effectively utilized to improve business execution using the Siemens tool suite.

12/30/2020 | Sagi Reuven and Zac Elliott, Siemens Digital Industries Software

Accurate data is required to adjust processes and to ensure quality over time. This is difficult because not all data is in the same format, and not all sensors perform the same over time. How do you know what the best data to collect is and how to filter out the junk data from useful or smart data? This is not an easy task when the interfaces to data collection sources are complex, and they do not speak the same language, often requiring the vendor’s help to get data out of the machine and then spending time normalizing the data to turn it into something useful. This is a challenge for companies trying to set up a custom data collection system themselves.

12/16/2020 | Sagi Reuven and Zac Elliott, Siemens Digital Industries Software

Whenever we discuss data, keep in mind that people have been collecting data, verifying it, and translating it into reports for a long time. And if data is collected and processes are changed automatically, people still will be interpreting and verifying the accuracy of the data, creating reports, making recommendations, solving problems, tweaking, improving, and innovating. Whatever data collection system is used, any effort to digitalize needs to engage and empower the production team at the factory. Their role is to attend to the manufacturing process but also to act as the front line of communications and control.