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Lifting The Gray Curtain

Supply Chain Shaman

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. ” Her answer was telling.

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The expanding scope of procurement analytics: Some initial thoughts

NC State SCRC

Procurement analytics, which supports decision making in procurement management, typically handles problems and decisions that are related to cost reduction, supplier management, cost modeling, procurement-led innovation, market strategies, supply chain risk, and stakeholder value improvement (Handfield, Jeong, and Choi 2019).

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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Predictive analytics will quicken demand response and involve product-use insights to improve accuracy against external factors affecting demand (e.g. Prescriptive analytics, where data constantly move in and out of partners’ systems, helps take data insights to the next level with improved visibility and for decision making.

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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). Analytics (Artificial Intelligence, Machine Learning and Cognitive Computing). As growth slowed post 2007 recession, companies fought back. In my opinion, the focus should have been on agility and the redefinition of analytics. 3D Printing.

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Mapping Product Genomes: The Life Blood of Supply Chains

NC State SCRC

By 2007 it was $10M, and it has now dropped to $1000, and is expected to drop to a penny by 2020! Consider this: Are you able to connect the essential leverage points in your network through cloud, mobile, and other mediums that provides a platform for analytics? The cost of genome sequencing in 2001 was $100M per sequence.

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Managerial Practice Will Need to Catch up with the Emergence of Real-time Supply Chains

NC State SCRC

Real-time data is enabled by the emergence of cloud computing and mobile devices, which creates “big data” technology platforms that process higher volumes of internal and external data from multiple sources. Examples of visibility include demand visibility, market visibility, and supply visibility.

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50 Online Resources for Aspiring Supply Chain Scholars

Supply Chain Opz

Compare logistics infrastructure using Logistics Performance Index World Bank has produced Logistics Performance Index (LPI) report since 2007 to aid policy makers to benchmark logistics infrastructure in their countries. However, please note that any data you upload will be publicly available to other uses (because it's a free version).