The thesis work described focuses on developing a sequence of goals chart for a configurable multiagent system (C-MAS). The purpose of this is to enable flexible automation systems in manufacturing by providing a digital configuration approach instead of high-level programming. The goal is to assist manufacturing companies in easily adapting to customized production with their in-house knowledge. C-MAS is a framework used to model and simulate complex systems composed of multiple interacting agents. In C-MAS, agents are divided into two categories: part agents and resource agents. Part agents represent the components or entities within the system that have specific goals to accomplish. These goals can vary depending on the context of the system being modeled. For example, in a manufacturing system, part agents may represent individual products or components that need to undergo certain processes to be completed. On the other hand, resource agents represent the resources or entities that are required to accomplish the goals of the part agents. These resources can be physical objects, machines, or even other agents with specific capabilities. The sequence of goals chart for C-MAS represents the manufacturing goals and enables flexible automation systems. It helps in specifying the sequence of actions or tasks that need to be executed by the part agents and the dependencies between them. This chart allows for the modeling of complex workflows or procedures within the system. 

The results of the thesis work include the development of a Python script capable of generating a sequence of goals chart. This script achieves this by reading the configuration data of the product. By analysing the specific configuration data provided, the script generates a visual representation of the sequence of goals, allowing users to understand the order and dependencies between different goals.