Domain expertise is important for supply chain risk identification, validation, and assessment.
Supply Chain Management and Logistics Blog. Posts are about end-to-end supply chain management and logistics in a time of challenging disruption. Tom provides leading supply chain management and logistics consulting and advisory assistance based on real-world experience. He brings authority and domain expertise to clients. Email Tom at: tomc@ltdmgmt.com Check Tom's profile at: https://www.linkedin.com/in/tomcraig1/
Wednesday, April 29, 2015
SUPPLY CHAIN RISK, PREDICTIVE ANALYTICS
Predictive analytics are often used in supply chain risk projects. Daniel Kahneman (Nobel Prize winner) in "Thinking, Fast and Slow", seems to take the view that--in unpredictable environments, complex statistical algorithms often add little or no value over simple equally weighted formulas based on existing statistics or common sense.
Domain expertise is important for supply chain risk identification, validation, and assessment.
Domain expertise is important for supply chain risk identification, validation, and assessment.
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