Capability 02
Operations Research and Optimization
We build mathematical models for resource allocation, scheduling, logistics, and investment planning, backed by doctoral research and peer-reviewed publication. That includes simulation and simulation-optimization for capital and portfolio decisions, metaheuristics and large-scale optimization such as tabu search, GRASP, dynamic programming, and Markov models, and rigorous economic and cost-benefit analysis.
When to engage us
- A resource allocation or scheduling problem has too many variables for intuition alone.
- Capital or portfolio decisions need simulation-optimization, not a static spreadsheet.
- Large-scale planning requires metaheuristics beyond standard solvers.
- Leadership needs an economic and cost-benefit case that will hold up under scrutiny.
What you get
- A mathematical model built for your actual constraints, not a textbook approximation.
- Simulation-optimization results leadership can act on with confidence.
- Rigorous economic and cost-benefit analysis, documented and defensible.
- Delivery grounded in peer-reviewed, doctoral-level research.