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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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6 Manufacturing Trends You Need to Know

Arena Solutions

The global manufacturing sector has seen an upswing, a technological renaissance of sorts. Since the start of 2012, more people graduating from college and universities are entering the engineering/manufacturing fields. The manufacturing sector has been severely impacted by this trend because production jobs are highly technical.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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Seven Mistakes You Wish Your CFO Had Not Made You Make

Supply Chain Shaman

Source E2open Shipping Index). The Chief Financial Officer gained more presence with procurement and IT reporting to finance. As a result, focusing on cost and efficiency, and functional metrics throws the supply chain out of balance. We started the conversation with sourcing. Focus on Cost. A Decline in Innovation.

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Industry 4.0: The Emergence of Cognitive Manufacturing

Enterra Insights

”[1] The fourth revolution is being driven by data. The BCG analysts explain, “Today, another workforce transformation is on the horizon as manufacturing experiences a fourth wave of technological advancement: the rise of new digital industrial technologies that are collectively known as Industry 4.0.” ”[4].

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Manufacturing Gains From Machine Learning

IQMS

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Manufacturers care most about finding new ways to grow, excel at product quality while still being able to take on short lead-time production runs from customers.

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Making Better Manufacturing Decisions With the Help of Machine Learning

Oracle SCM

Manufacturing today is more complex than ever before. context, data is coming in from more and more sources. We are creating more and more data every day. quintillion bytes of data created each day, and that pace is only accelerating with the growth of the Internet of Things (IoT). We are creating a lot of data.