Custom Optimization
Optimization built for the problem you have
4colors builds original models and algorithms around your resources, schedules and objectives. The largest gains come from improving decisions together.
Best-known schedules on 113 of 480 projects in a public project-scheduling benchmark.
Discuss an optimization challengeExplore the Optimization PoC
Integrated optimization across your operation
Production, staffing, packing and routing decisions shape one another. Optimized together, they reach plans that no single-department plan can.
A better production sequence also needs the right people available. Modeling schedules and staffing together makes those choices easier to compare.
One day at one site: production, staff and outbound trucks.
Conflicts (red)3
Truck waiting time5 h
Illustrative example, not customer data.
One decision can change another
Production and workforce:
Align machine schedules with qualified teams, shifts and staffing capacity.
Packing and routing:
Optimize loading geometry alongside vehicle capacities and delivery sequences.
Manufacturing and logistics:
Coordinate production timing, inventory and transportation decisions.
Assignment and networks:
Coordinate scarce resources and decisions across networks and systems.
How we work
We combine mathematical optimization, constraint reasoning and original search algorithms, then evaluate the results against your existing approach.
- 01
Model the decisions together
Schedules, staffing, resources and objectives described together, as they interact in your operation.
- 02
Search with the right methods
Mathematical optimization, constraint reasoning and original search algorithms, chosen for the structure of the problem.
- 03
Compare with your approach
Results evaluated against how the decisions are made today, on your own instances.
Tested on demanding challenges
See our recognitionWinner
| Airbus x BMW Quantum Computing Challenge:
Integrated production and transportation optimization.
Finalist
| ROADEF/EURO Renault Challenge:
Three-dimensional loading and the transport decisions around it.
Best known
RG300 project scheduling benchmark
4colors Optimizer established best-known schedules on 113 of 480 projects in a public project-scheduling benchmark.
Before you start a project
Explore all articles and guides- Guide
What Should an Optimization Proof of Concept Actually Prove?
A promising solver demo is not yet evidence that an operational system will work.
Read the guide - Insight
The Optimization Project That Worked Until Monday
The algorithm solved the model. The factory could not run the result.
Read the insight - Insight
The invisible revolution in optimization
Over two decades, better algorithms have changed what computers can solve. Faster processors explain only part of the story.
Read the insight - Guide
Integrating Optimization into Existing Software
Calling an optimization solver from an application is easy to describe as one API request and much harder to make reliable in production.
Read the guide - Guide
From Spreadsheet to Optimization Model
A spreadsheet can contain nearly everything needed for an optimization model, yet still lack a precise statement of what is being chosen.
Read the guide
Start with one consequential decision
Tell us which decisions depend on each other. We will propose how to model them and how to compare the result with your current approach.