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  • Welcome to Composabl
  • Get Started
  • Reference
    • CLI Reference
    • SDK Reference
    • Glossary
    • Sample Use Cases
  • Tutorials
    • Industrial Mixer
      • Get Started
      • Deep Reinforcement Learning
      • Strategy Pattern
      • Strategy Pattern with a Perception Layer
      • Plan-Execute Pattern
  • Establish a Simulation Environment
    • Simulation Overview
    • Connect a Simulator to Composabl
    • Composabl Simulation API
  • Build Multi-Agent Systems
    • Anatomy of a Multi-Agent System
    • Create a Use Case
    • Set Goals, Constraints, and Success Criteria
    • Create Skill Agents
      • Create Skill Agents
      • Create Skill Agents with Rewards Using the SDK
      • Configure Programmed Algorithms as Skill Agents
      • Configure API Connections to Third-Party Software as Skill Agents
    • Orchestrate Skill Agents
    • Configure Scenarios
    • Add a Perception Layer
      • Create a New Perceptor
      • Configure an ML Model as a Perceptor
      • Configure an LLM Model as a Perceptor
    • Publish Skill Agent Components to the UI
  • Train Agents
    • Submit a Training Job through the UI
    • Analyze Agent System Behavior
      • View Training Session Information
      • Analyze Data in Detail with the Historian
  • Evaluate Performance
    • Set KPI and ROI
    • Analyze Data
  • Deploy Agents
    • Access a Trained Agent System
    • Deploy an Agent System in a Container
    • Deploy an Agent System as an API
    • Connect Runtime Container to Your Operation
    • Connecting to Agent System Runtime and Plotting Results of Agent System Operations
  • clusters
    • Creating a Cluster
      • Manual
      • Automated
      • Azure
    • Connecting a Cluster
  • Troubleshooting
    • Resolving Certificate Issues for Installing the Composabl SDK on WSL
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  • Industrial Mixer
  • About the Use Case
  • Explore Agent System Components
  • Production Scheduling
  • About the Use Case
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  1. Reference

Sample Use Cases

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Last updated 1 month ago

The examples and code samples in this documentation refer to our sample use cases. These examples are real-world use cases with complex goals and constraints. In each case, the Composabl team has built agent systems that exceed the benchmark control technology by orders of magnitude.

Industrial Mixer

About the Use Case

The industrial mixer use case is a realistic case study of a chemical process control agent system controlling a continuous stirred tank chemical reaction. The agent system controls the temperature in a tank where a chemical reaction occurs to create a product.

As the chemicals are stirred together in the tank, the reaction produces heat at a nonlinear, unpredictable rate. If the tank isn’t cooled enough, it can reach dangerous temperatures, a condition called thermal runaway. If it’s cooled too much, not enough product will be produced. The agent system needs to balance these two goals, keeping the tank at the right temperature at every moment to optimize production while ensuring safety.

Explore Agent System Components

Production Scheduling

About the Use Case

The production scheduling use case is an complex production planning problem set in an industrial bakery. The agent system must determine the right amount of cookies, cakes, and cupcakes to make each day, directing teams of workers and equipment and responding to fluctuations in costs, pricing, and demand.

Learn more:

Learn more: .

The case study, developed in partnership with Composabl partner , requires the agent system to make a choice every minute between 24 possible combinations of equipment, task, employee and product, over the course of a 400-decision day, with the ultimate goal of maximizing profit.

Read the Composabl whitepaper about the production scheduling use case.
Access perceptors, skill agents, and selectors for this use case.
Read the Composabl whitepaper about the production scheduling use case
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