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

The Logistics & Supply Chain Management Society

Innovation and supplier management calls for cloud-based integrated systems between partners and advanced predictive models. Efficiency and cost management. Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Decision Making. Olhager, J.,

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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).