Modern production systems are facing rapidly changing requirements due to personalized products, smaller lot sizes, and shorter time to market. Bio-inspired processes, especially self-organization, provide inspiration on how to achieve the required flexibility. Self-organizing systems achieve flexibility by autonomously monitoring themself and their environment and adapting to changes observed. Therefore approaches promising self-organization have received great attention in the research community. Despite the promising characteristics of self-organizing production systems, uptake in the industry is small. This paper presents unrealistic task and capability descriptions as an impediment for further adoption and identifies areas of contribution. Further, we outline a research agenda and methodology to address the problem. Finally, the expected results are discussed.