Remove 2007 Remove Big Data Remove Groups Remove Manufacturing Procurement
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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Lockdown of cities and manufacturing plants have significantly impacted many industries’ supply chains. Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Data acquisition and filtering and scenario analysis are time consuming practices in supply chain.

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Will Warehouses Eventually Go Dark?

Enterra Insights

Larger-scale vacant retail properties, such as regional malls and community centers, are more often purchased by industrial developers and then demolished to be replaced by new industrial construction that is designed to meet the physical requirements of prospective space users.” The Internet of Things and Big Data.

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Reflections, Thank-you(s) and Rethinking the Future

Supply Chain Shaman

This includes: Sensors coupled with data from the Internet of Things (IOT). Open Source Technologies (Examples include Hadoop, Spark, Kafka). Localized manufacturing. Shipment and manufacturing of the unit of one. … a group of energized innovators. As growth slowed post 2007 recession, companies fought back.

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Building Outside-In Processes

Supply Chain Shaman

I am a manufacturing gal by training. While traditional supply chain processes evolved from functional excellence definitions for source, make and deliver from the inside-out; to make the digital pivot and become more market-driven, companies need to define new supply chain processes outside-in. What drives my passion? Bio-engineering?

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50 Online Resources for Aspiring Supply Chain Scholars

Supply Chain Opz

Understand online consumer behavior via Think With Google Google has provided lots of data for you to understand what, when, why and how customers make online purchase via the interactive data. The data is grouped by industry based on North American Industry Classification System (NAICS). Resource: Dia Diagram 22.

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Industry 3.X and TPM deciphered

KEPLER Consulting

The focus is on reducing the 16 OEE generalized losses, classified into three groups: equipment losses, labor-related losses, and material-, tool- and energy-related losses. Big Data analysis. The term “big data” refers to large, technically complex data sets for typical data analysis and processing applications.

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The Top Logistics and Supply Chain Journalists & Thought Leaders to Know for 2020

Shipchain

He a sought-after author, having written both best-selling books and timely pieces in Industry Week Manufacturing Network and Supply Chain Management Group. Steve Banker is the Vice president of Supply Chain Management at ARC Advisory Group and co-author of Logistics Viewpoints. Steve Banker. and abroad. John Monarch.