## 4 Discussion and Conclusions
The rigid allocation of work plans to resources and machines means that decisions, once made, cannot be adapted or can only be adopted with great effort. The depiction of work tasks as necessary transformations on the product, to which specific resources are only allocated subsequently, now makes it possible for the first time to make simple and thus late changes in the production process. This means that technology and factory planning are much more closely networked, and the system as a whole is more agile and flexible. In the operational implementation, this results in another advantage: if data are recorded in production, it can now be directly assigned to the described transformation. These data are also directly available in the event of a change in the existing process chain or future replanning. Further research needs to be carried out to evaluate the presented framework. Above all, this future work must aim to realize application examples in pilot plants and real industrial environments. When evaluating the presented framework in industrial applications, the main focus has to be on measuring the effects of planning agility and speed, the achievable flexibility increase, and the impact on productivity. Choosing an environment where classical technology and factory planning methods are already in use offers a chance to directly compare the results and identify potentials and further needs of the proposed methods. Further integration aspects could address the area of humans in the manufacturing system and environmental aspects. Parameterizing basic tasks and machines to incorporate aspects that are harmful to humans, as well as aspects like energy consumption or other sustainability-related aspects, could enable production planning and control that optimizes these methods towards several goals. In conclusion, the main contribution of this paper is the task-based description logic which offers a different fundamental logic for connecting machines and products dynamically and flexibly. By offering a content- (task) and competence (equipment)-based allocation approach for the connection of material and machines within production system design and steering and control, an initial challenge for implementing service-oriented architectures can be solved. The basic task logic described is compatible with the existing allocation logic within the old Industry 3.X era IT systems while simultaneously being compatible with the anticipated decentralized structure of the next generation of production systems. This future structure will be based on the RAMI 4.0 framework. Furthermore, the applicability of the basic task logic both in the domain of factory and technology planning and later during the operational phase within a factory's lifecycle offers less data inconsistency and fewer media breaks and interface challenges than is the case in the current IT environment. Conceptualization, A.L., N.L. and K.A. ; Methodology, A.L. ; Validation, N.L. and K.A. ; Formal Analysis, A.L. and N.L. ; Investigation, A.L., N.L. and K.A. ; Writing--Original Draft Preparation, A.L. and N.L. ; Writing--Review & Editing, K.A. ; Visualization, N.L. and K.A. ; Supervision, K.A. All authors have read and agreed to the published version of the manuscript. This research received no external funding. Not applicable. The authors declare no conflict of interest.