SPP 2443 - Hybrid Decision Support in Product Creation

The objective of the Priority Programme is to gain insights into how processes and methods of DS/AI can be used to complement human capabilities in conjunction with established heuristics, methods, modelling and simulation. This combination aims at increasing the performance of product creation. Combined with established engineering methods, DS/AI have to be used for hybrid decision support. In the meantime, there are clear tendencies as to which basic DS/AI algorithms, technologies, procedures and methods will reach a sufficient level of maturity. Within the framework of the Priority Programme, procedures and methods of DS/AI are adapted and applied but not developed. The research includes content such as the training of models, the construction of neural networks or the generation of semantic networks. On this basis, the Priority Programme aims to gain insights into the achievable effect in product creation and the resulting changes in processes, methods, IT tools and information standards (PMTI). Combined with established engineering methods, DS/AI methods should be able to be used product-related in the sense of hybrid decision support. The core objective is to increase performance in product creation through hybrid decision support. A possible indicator of this is the reduction of the extent of unnecessary iterations by expanding the quality of decision-making without increasing the use of time/resources.