# Materials Engineering

> Optimal chemical compositions to reach target properties, with a fraction of the lab iterations.

Developing a formulation by trial and error costs lab time and approval cycles. Orion applies statistical design of experiments and Bayesian optimization to reach target properties with far fewer tests.

## Overview

- Area: Industrial Operations
- Delivery: customizable solution
- First pilot: about 8 weeks
- Solution 12 of 15
- Topics: Smart DOE, Bayesian optimization, Multi-objective

## When this decision gets expensive

If two or more sound familiar, this solution will most likely pay for itself.

- Development advances by trial and error, one variable at a time.
- Test history is scattered and does not inform the next tests.
- There are trade-offs between properties and no structured way to resolve them.
- The raw material cost of the formulation never enters the selection criteria.

## What Orion delivers

- Design of experiments that covers the formulation space with fewer tests.
- A predictive model of properties based on composition.
- Multi-objective optimization between technical performance and formulation cost.
- An accumulated knowledge base that speeds up each new development.

## Technical foundation

- **Statistical DOE:** Factorial and mixture designs adapted to process constraints.
- **Bayesian optimization:** A surrogate model that chooses the next test with the highest information value.
- **Pareto frontier:** An explicit trade-off between competing properties and raw material cost.

## Indicators tracked

- Number of tests to reach the target property
- Development cycle time
- Cost of the approved formulation
- First-test approval rate

## Talk about this solution

WhatsApp: https://api.whatsapp.com/send/?app_absent=0&phone=5554991678345&text=&type=phone_number
E-mail: orion@orionotimizacao.com
Full method: https://orionotimizacao.com/en/method

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Contact: WhatsApp +55 (54) 99167-8345 · orion@orionotimizacao.com