Caused by a rising mass customisation and the high variety of equipment versions, the flexibility of manufacturing systems in car productions has to be. increased. In addition to a flexible handling of production load changes or hardware breakdowns that are established research areas in literature, this thesis presents a skill-based reconfiguration mechanism for industrial mobile robots to enhance functional reconfigurability. The proposed holonic multi-agent system is able to react to functional process changes while missing functionalities are created by self-organisation. Applied to a mobile commissioning system that is provided by AUDI AG, the suggested mechanism is validated in a real-world environment including the on-line verification of the reconfigured robot functionality in a Validity Check. The present thesis includes an original contribution in three aspects: First, a reconfiguration mechanism is presented that reacts in a self-organised way to functional process changes. The application layer of a hardware system converts a semantic description into functional requirements for a new robot skill. The result of this mechanism is the on-line integration of a new functionality into the running process. Second, the proposed system allows maintaining the productivity of the running process and flexibly changing the robot hardware through provision of a hardware-abstraction layer. An encapsulated Reconfiguration Holon dynamically includes the actual configuration each time a reconfiguration is started. This allows reacting to changed environment settings. As the resulting agent that contains the new functionality, is identical in shape and behaviour to the existing skills, its integration into the running process is conducted without a considerable loss of productivity. Third, the. suggested mechanism is composed of a novel agent design that allows implementing self-organisation during the encapsulated reconfiguration and dependability for standard process executions. The selective assignment of behaviour-based and cognitive agents is the basis for the flexibility and effectiveness of the proposed reconfiguration mechanism.