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A weekly summary of the news, trends, reviews, profiles and articles from Manufacturing Technology Insights
April 17, 2019

Manufacturing Technology Insights Weekly Brief

Newsletter for Enterprise Technology Decision Makers

Feature of the Week
In lean production, the focus is on minimizing waste and maximizing value. This has enabled manufacturing operations to get rid of excess inventory, create a continuous production flow, simplify the manufacturing process, and minimize defects.
Inspired by the technology of Artificial Intelligence (AI), Computer Vision (CV) has marked a new epoch in the field of data visualization.
Ethical supply chains welcome bigger and better business opportunities by building trust among clients and customers. Business ethics also found diverse branding options.
Featured Vendors
Carboline Company is considered the standard of quality high-performing coatings, linings, and fireproofing products.
Owns subsidiaries that manufacture and market high-performance coatings, sealants and specialty chemicals, primarily for maintenance and improvement applications.
A global coatings company dedicated solely to the development, manufacture and sale of liquid and powder coatings.
CIO Viewpoint
Michele C. D’Alessandro, VP & CIO, Manufacturing IT, Merck [NYSE:MRK]
While the marriage of the physical world of pharmaceutical manufacturing and the cyber world is complex and challenging, it is also exciting for anybody fortunate enough to focus on it.
Susan Kampe, CIO, VP, Information Technology, Cooper Standard
Digitizing processes creates full automation and the ability to learn what result can be expected, alert us when intervention is required.
CXO Insights
By Christopher Murphy, VP of Software and Controls Engineering, Jervis B. Webb Company Innovation
The modern factory needs see all the measurable parameters of quantity, quality, efficiency, and rework.
By Nir Eyal, Blogger of Product Psychology, nirandfar.com
The manufacturing sector presents security challenges of a unique nature due to customized industrial control systems, supervisory control and data acquisition systems.