Operations research uses mathematical optimization to help solve business problems. The basic move is to turn a business goal into a math goal, then search for the best feasible decision under constraints. section 5.3 section 5.12
A simple example is choosing how to allocate inventory to warehouses based on a demand forecast. That is not just number-crunching; it often means negotiating the problem down to something simpler but still useful. section 5.3 section 5.3
It is used to:
- bridge business needs and technical methods. section 5.3
- build optimization algorithms for decision-making. section 5.3
- work in cross-functional settings where business goals matter more than pure technical output. section 5.3
The treatment stays at a practical level: it names optimization, mapping goals, and tradeoffs, but does not give a formal algorithm or derivation. section 5.3 section 5.12
