Intelligent production planning and control that considers the skills of all resources sets the basis for processing the orders within a digitally linked production environment. This subproject aims at the coordination of mobile resources and the integration of the gained flexibility on planning and control level. First of all it is planned to integrate the mobility of resources into planning and control. A second step will comprise processing tasks in a team, i. e. in cooperation of several mobile systems and – depending on the kind of task – humans as well.
An abstract task description represents the task in the planning and control system. The resources are visualized considering the volatile factory environment in the planning and control system. On the one hand, the enlarged skills of robotic systems require a specification of teamwork. On the other hand, all parameters coming along with the mobility of resources have to be considered.
The second work package will examine how to split orders into subtasks that can be processed by the resources. In connection with the resource description in WP3.1, an algorithm analysing the task and the available systems executes the assignment of subtasks to resources.
After the assignment of a task to a resource, a global path planning is necessary that considers all platforms and aims at an optimized production workflow.
Finally, all aspects treated in the previous work packages will be integrated into a real-time system for production planning and control. The aim is to automate the order processing in consideration of available resource status and current order situations.
The central finding of the third subproject is the qualification of task-oriented planning of teams without them being assigned to a predefined resources and orders. For doing so we developed a visualization of jobs subdivided into tasks as a planning tool, which is used combined with a description of abilities of the resources for a requirement – ability comparison. Also workers are integrated into that process. Thus it is possible, that resources work on orders in a flexible and dynamic manner, that feedback is integrated and processed directly and that the production program is prepared and modified appropriately.