Rußkamp, Nina; Digmayer, Claas; Jakobs, Eva-Maria (2023): Co-Creation-Based Framework for the Agile Development of AI-Supported CAM Systems. 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023).



Abstract: Due to digital transformation processes in the course of industry 4.0, CAM (computer-aided manufacturing) planners need to solve complex tasks in increasingly shorter time frames. Time pressure impairs the quality of the planning process for complex tasks, which, in turn, entails cognitive overload and frustration for the planner. To overcome this challenge, the R&D project CAM2030 aims to develop a new generation of CAM systems that integrates innovative technologies (artificial intelligence (AI), cloud computing (CC), and evolutionary algorithms (EA)) to support the CAM user. The innovation process requires a novel methodology that involves the stakeholders' different perspectives, especially the users' preferences and needs, and brings them into compliance. This paper presents a co-creation-based framework for the agile development of AI-supported system features. The framework intends to continuously support the innovation process in highly interdisciplinary teams working collaboratively under remote conditions. The multi-level and partly iterative approach covers different stages of the innovation process. The framework application shows a high potential to support the development of AI-supported CAM systems. The framework helps to: (i) understand and reflect the user's needs and preferences, (ii) align different and partly controversial perspectives, and (iii) identify and overcome sticking points of the system development. The innovation and development process benefits from the active involvement of end users (CAM planners and companies), the continuity of interdisciplinary exchange, and iterative testing. Limitations arise from the restricted application scope of the framework (automated CAM system components for the CAM parameter optimization by well-educated CAM planners in German SMEs). Future research should consider the reconciliation of innovation processes with day-to-day business in manufacturing companies and the framework's transferability to other application contexts.