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May 27, 2021 | Xu Wei
SAP Digital Manufacturing Cloud – The Foundation of a Smart Factory
Get an introduction to use cases, features, and benefits of SAP’s Digital Manufacturing Cloud.
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March 22, 2021 | Travis Stevens
Build or Buy Your Next MES?
Compelling reasons to consider a standard “off-the-shelf” solution as opposed to building or continuing to invest in a homegrown MES.
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February 17, 2021 | Helen Leps
Introducing SYSTEMA Brazil
In this interview with SYSTEMA Brazil’s Managing Director, Jorge Mottecy, we introduce our new team in Brazil.
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February 08, 2021 | Ricco Walter
Digital Transformation for 200mm Fabs
As 200mm demand continues to outpace supply across the industry, Industry 4.0 technology has the power to breathe new life into 200mm fabs.
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January 18, 2021 | Helen Leps
2020: A year of challenges and digitization
With Covid19 digitalization is more needed than ever. The manufacturing industry took the chance to tackle automation and digitalization with high force.
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January 12, 2021 | Dr. Holger Brandl
Predictive Analytics: Enabling robust planning & factory optimization
Insights on predictive analytics to enable factory forecasting to optimize planning and production capabilities.
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October 13, 2020 | Dr. Holger Brandl
Spot and resolve shopfloor incidents faster with event stream processing
Using stream analytics to aggregate, combine, compare and model events in real-time, it dramatically reduces the delay between shopfloor incident and action.
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October 06, 2020 | Ulf Martin
SAP PM & SAP ME: Effective coordination of maintenance and production activities
Learn how to leverage SAP Manufacturing solutions to coordinate maintenance and production activities in order to maximize OEE.
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September 16, 2020 | Axel Wogawa
Industry 4.0: Pros & Cons of Cloud Computing in Smart Manufacturing
Pros and Cons of Cloud Computing in Smart Manufacturing: What advantages does it offer over conventional on-premises computing plus what are the drawbacks?
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August 18, 2020 | Jim Connett
The Details Are in the Data
Insights on manufacturing data collection: How should data be collected? When should data be collected? Where should the data be stored?
