Optimizing things in the USSR
Summary
The article explores how historical Soviet central planning attempted resource optimization using linear programming, highlighting issues like dimensionality reduction, data quality, and computational complexity. It draws parallels to modern data-driven optimization and offers reflections on how such approaches might apply to contemporary supply chains and automated decision-making.