Reduce operational costs and improve efficiency through optimized decision systems
Applied to logistics, production and resource allocation
— using your real data.
Where Optimization Creates Value
Real operational problems I solve with mathematical optimization.
Vehicle Routing
Optimize delivery routes and technician assignments while minimizing travel time and operational cost.
Production Planning
Sequence production orders and minimize setup times across constrained manufacturing lines.
Inventory & Supply Chain
Optimize inventory levels and replenishment decisions across distribution networks while balancing service levels, storage capacity and operational cost.
Workforce Scheduling
Optimize workforce schedules and task assignments while respecting labor constraints, service requirements and operational demand.
Network Design
Design distribution networks by optimizing facility locations and product flows to minimize logistics costs while maintaining required service levels.
Impact from previous projects
We don't start with an algorithm. We start with the decision.
Decidor helps companies transform complex operational decisions into optimization-based solutions that are understandable, usable, and aligned with real business constraints.
The work usually moves through four lenses:
Decision clarity
What decision are we improving, and what does “better” mean in practice?
Optimization design
Which modeling approach fits the problem, the data, and the operational context?
Usable outputs
How should results, scenarios, and trade-offs be presented so teams can act on them?
Operational validation
Does the solution hold up against real constraints, exceptions, and business rules?
The outcome is not just a mathematical model. It is a decision-support capability built around the way your operation actually works.
An Independent Operations Research specialist
I'm Ricardo Leão, an independent Operations Research specialist. I help companies build optimization and decision systems for complex operations — working autonomously and embedded directly with your team.
I transform operational data into decision engines that support real-world processes such as routing, scheduling, resource allocation and capacity planning.
Rather than delivering reports or slideware, I develop production-ready optimization systems designed to run inside your own infrastructure — fully owned and operated by your team.
My approach combines mathematical optimization, domain-specific modeling and pragmatic engineering — so solutions are not only technically sound, but directly applicable in real operations. Over a decade in the field, I've led optimization work at companies such as Mercado Livre and Accenture.
AI-assisted optimization engineering
I use modern coding agents to accelerate the development of optimization systems.
ChatGPT
Gemini
Claude
CopilotTools used in the development workflow.
Start a conversation
If your organization is facing a complex operational decision, use this form to start a conversation. I'll review your message and respond with initial thoughts on how optimization might apply.
Optimization Newsletter
OR-Path is an independent project focused on the practical application of Operations Research.
Through articles and resources, it explores how optimization and decision science are used to solve real operational problems across industries.
It also shares insights on careers and professional development in Operations Research.
