Supply chain logistics optimization using mixed integer programming and scenario simulation
Supply-chain routing studies can yield apparently optimal solutions that are difficult to audit when source-table compatibility, historical-cost coverage, and disruption assumptions are not reported. This study presents a reproducible decision-analytics workflow that combines a standard mixed-integer linear programming...