Remove Big Data Remove Inventory Remove Manufacturing Remove Metrics
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3 Ways to Ensure On-Time, In-Full Delivery of Inventory

Logility

In addition, they wanted to incorporate the inventories from their parts suppliers and their geographic locations so they could minimize empty return-trip trucks and duplicate runs, as well as minimize the inventory that they had to keep on hand in their distribution centers while knowing which suppliers had what parts in stock.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

Optimization engines to improve functional metric performance resulted in an exploding number of planners. Rolling up a perpetual inventory signal takes eleven hours. The company was working on improving real-time ATP without consideration of the data synchronization issues. Contract Manufacturing Signal Latency.

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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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Manufacturers, Technology, and the Digital Age

Enterra Insights

Manufacturers have historically found themselves at the cutting edge of technological advances. It’s surprising, then, to read stories encouraging manufacturers to jump aboard the Digital Age technology bandwagon. ” He noted, “Each of these technologies will fundamentally change how products are manufactured.”

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Transversing the Paradox River

Supply Chain Shaman

We speak about the need to move from a functional understanding to a global, holistic capabilities, but the traditional supply chain leader defines bonus incentives and process performance goals based on functional metrics. Measurement. Organizations speak of the bullwhip, but don’t measure it or monitor the effects. Innovation.

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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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Real-Time Monitoring Fuels IoT Growth In Manufacturing

IQMS

72% of manufacturers say real-time monitoring is essential for streamlining and making inventory reconciliation more efficient. 72% of manufacturers say real-time monitoring is essential for streamlining and making inventory reconciliation more efficient.