A Multi-Agent System (MAS) is a framework where multiple autonomous agents interact to solve complex problems. These agents can represent software programs or robots, each capable of making decisions based on their environment and objectives. In the context of intelligent planning and scheduling, MAS can optimize tasks by distributing them among agents, allowing for efficient resource management and improved decision-making. The intelligent planning and scheduling platform within a MAS utilizes algorithms to coordinate the actions of these agents. This ensures that tasks are completed in a timely manner while adapting to changes in the environment. Applications can be found in various fields, including logistics, manufacturing, and robotics.