Remove 2007 Remove Big Data Remove Lean 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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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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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. As growth slowed post 2007 recession, companies fought back. Blockchain/Cryptocurrency. 3D Printing.

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50 Online Resources for Aspiring Supply Chain Scholars

Supply Chain Opz

Resource: ArcGIS Open Data 5. 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. Studying about lean manufacturing and can't find free VSM software?