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MES/MOM specialist iTAC Software AG has once again been recognized in 2022 Gartner Magic Quadrant for Manufacturing Execution Systems (MES) and has been positioned as a Visionary.
"We are very proud that Gartner has again acknowledged us as a Visionary based on our Completeness of Vision and Ability to Execute. Our iTAC.MOM.Suite manufacturing management system is one of the leading solutions in the area of MES architecture innovation. In addition, we have taken a major step forward in the area of execution," explains Peter Bollinger, CEO of iTAC Software AG.
iTAC Software AG is a subsidiary of the Dürr Group and offers the iTAC.MOM.Suite as a holistic manufacturing management system. The solution is focused on discrete manufacturing with high quantities and repetitive processes and can be operated both on-premises and on cloud. It is used worldwide by companies in various industries, such as automotive manufacturers and suppliers, electronics/EMS/TC, medical technology, metal processing and energy.
Dan Beaulieu, D.B. Management Group
This is a story of hope for the future of our industry. Matt Redhead is a young entrepreneur who started his career in customer service and sales, but always had his sights set on owning a business. Recently, he achieved his dream by becoming the fourth owner of a 46-year-old contract manufacturing business just outside of Portland, Oregon. For those of you who worry about the younger folks joining our ranks, this interview will renew your faith.
Marc Carter, Independent Contributor
Knowledge transfer, especially from the “graying-out” experienced technical workers in our industry, is a complex, difficult family of problems. It differs wildly between companies, and even within divisions of the same company. One of the biggest barriers is the full manufacturing schedules in North American electronics companies that don’t leave any slack time—and the 40-hour work week is a complete fantasy for many.
Jennifer Davis, Arch Systems
Buy new or make do? It’s an age-old debate for manufacturers who are trying to decide how best to manage machine assets inside their manufacturing facilities. New machines are expensive, but so is operating existing machines at a comparative deficit.