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Sciemetric

Case study: Shaping data, ensuring uptime

  • Article in Smart Industry
May 31, 2018

Industry 4.0 technologies are not merely nice to have. Business pressures are forcing these kinds of investments for many manufacturers. ROI can be rapid when you consider the cumulative cost of downtime, warranty claims, and scrap and rework that can be avoided with the right technology investment. Learn how Sciemetric helps manufacturers embrace Industry 4.0 in this article by Sciemetric's Aaron Alberts for the Smart Industry Forum.

Effective data analysis

  • Article in Manufacturing Automation
May 1, 2018

In this feature published by Automation Magazine, Dave Mannila, senior product manager at Sciemetric, talks about how manufacturers can and should use their production data for greater visibility into production processes – to reduce cycle times, control costs and improve productivity across the plant. With today’s tools, a modest investment can generate an ROI in a matter of months and yield millions in annual savings.

How to stay competitive in a connected revolution

  • Article in Machine Design
April 18, 2018

In this feature published by Machine Design Magazine, Derek Kuhn, Sciemetric’s senior vice-president, argues why machine builders can’t ignore the growing use of process data by manufacturers to drive quality assurance, greater automation, efficiency and profitability. Manufacturers want this intelligence incorporated into a line as it is being built, rather than incur the time and expense of procuring equipment, hardware, and software from different vendors and trying to integrate it all together.

Collecting data: Why machine vision matters as part of your IIoT strategy

  • Article in Industrial Machinery Digest
March 1, 2018

Whether you’re a machine shop, a job shop, or a contract manufacturer in the supply chain of a major OEM, your success today rests with how machine vision data comes together with all the rest of your production data. In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses how to be more competitive and break machine vision out of its silo.

Eight reasons why you should manage your machine vision data

  • Article in Vision Systems Design
February 7, 2018

In this feature with Vision Systems Design, Mathew Daniel, Sciemetric’s VP of Operations, explores how bringing images and image data into the serialized birth history record for each part in production opens the door to advanced analytics for process improvement and traceability for defect containment. It just takes careful planning to determine how best to collect, store and manage this data.

Harvesting data for Industry 4.0 profitability

  • Article in APMA Magazine
January 29, 2018

Derek Kuhn, Sciemetric’s senior vice-president, takes to the pages of APMA Lead, Reach, Connect to explain why auto manufacturers must look beyond data related to the performance of machines and business processes if they wish to succeed in a sector that is rapidly being redefined by Industry 4.0 and Manufacturing 4.0 principles. They must also collect, serialize and analyze the reams of production data generated by the process and test stations on the line.

Gaining The Manufacturing 4.0 Advantage With Data-Driven In-Process Testing

  • Article in Truck & Off-Highway Engineering
January 15, 2018

Manufacturing is changing thanks to the increasingly sophisticated and intelligent use of data to make a production line smarter and more efficient. For off-highway and specialty vehicle manufacturers, the 4.0 revolution offers great opportunity to achieve significant cost reductions and grow revenue. In this article, Sciemetric's Product Manager, Dave Mannila, discusses the benefits of data-driven in-process testing.