Operations ResearchThe best answer, proven, not guessed
Schedules, allocations, and plans that are provably better, not just familiar. A few percent found weekly compounds into real money.
Some decisions are too big for intuition: staff scheduling, resource allocation, routing, inventory policy, capacity planning. When the combinations run into the millions, "how we've always done it" quietly leaves money on the table. Operations research applies optimization and simulation to find provably better answers, and the improvement compounds every single cycle.
This is the discipline our founder practiced for over a decade on multi-billion-dollar defense programs, applied to your business. We scope each engagement around one decision that matters, model it honestly (including the messy real-world constraints), and hand your planners an interactive tool they run themselves. Not a slide deck of equations.
Schedules and allocations are built by hand, and nobody knows how far from optimal they are
Planning decisions interact (staffing, capacity, cost) but get made in isolation
"We've always done it this way" is the current optimization algorithm
Trade-offs between cost, service level, and risk get argued instead of quantified
A Worked Example
A decade inside Department of Defense programs
Cost models and budget forecasts supporting decisions on multi-billion-dollar Army programs including the Stryker combat system, $276.9M in savings identified through alternative-system analysis, and the Achievement Medal for Civilian Service. This is the one discipline here we practiced long before Athena existed.
Go and lookTwo ways in: a 2–3 week fixed-scope diagnostic that frames one decision and proves it is worth modeling, or 4–6 weeks to an interactive tool your planners run themselves. Most start with the diagnostic.
Trade-offs you can see
Cost versus service versus risk laid out as a menu of options, so the argument becomes a choice.
A tool, not a report
Planners get an interactive what-if interface, so the model keeps earning long after the engagement ends.
Savings that compound
A few percent improvement on a decision made weekly is a large number by year-end.
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