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Robertson, P. W. (2021). Supply chain analytics: Using data to optimize supply chain processes.Taylor & Francis Group.

This book investigates the use of data analytics with the ultimate goal of optimizing the supply chain and associated processes. Other topics covered include demand forecasting, inventory management, process optimization, and how supply chain analytics challenges relate to those core supply chain concerns.

Nicolas Vandeput. (2021). Data science for supply chain forecasting: Vol. 2nd ed. De Gruyter.

This book functions as a guide for data science in the supply chain arena. The book includes three main areas of focus: statistical forecasting, machine learning, and data-driven forecasting process management.

anyLogistix (2019, September 2). Webinar: Supply Chain Network Optimization [Video]. YouTube.

This video discusses supply chain network optimization. Things like constraints, demand shape, master planning, and penalties are covered.

Expero (2019, February 8). Supply Chain Optimization [Video]. YouTube.

This video also discusses supply chain optimization. Specifically, it covers the use of graphs and machine learning to do this.