A practical tour of mixed-integer programming (MILP): what it is, why discrete (yes/no) and continuous decisions matter in logistics, manufacturing, and services, and how solvers guarantee the best solution. We’ll dive into real-world applications—from facility location and scheduling to knapsack-style decisions and industrial symbiosis—and explain why exact optimization, despite being harder, delivers clear bottom-line wins.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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