Combinatorial optimization expands the decision space for supply-chain planning

KNIME explains how AI-supported combinatorial optimization can search large decision spaces relevant to routing, allocation, scheduling and network design. The operational value depends on making objectives and constraints explicit. Supply chain optimization should expose infeasibilities, trade-offs, sensitivity and the conditions under which a planner can reject the mathematical result.