Generic Role Model for the Systematic Development of Internal AI-based Services in Manufacturing

Date
2023-01-03
Authors
Kutz, Janika
Neuhüttler, Jens
Schaefer, Kristian
Spilski, Jan
Lachmann, Thomas
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
909
Ending Page
Alternative Title
Abstract
Latest research has shown that one challenge for the development and implementation of Industrial AI-based services is uncertainty of roles and responsibilities. To address this challenge, we developed a generic role model for the systematic development of AI-based services in manufacturing. The role model describes which roles are necessary within the development process of an Industrial AI-based service. Thereby, a distinction is made whether the roles are assigned to the “core team”, the “extended team” or participate in “supporting roles”. Furthermore, the model shows whether the roles are involved in the “Ideation” phase, the “Requirements and design” phase, the “Test” phase or the “Implementation and roll-out” phase. Based on desktop research, semi-structured interviews and expert workshops we identified 22 roles that are relevant to the development and implementation of Industrial AI-based services.
Description
Keywords
Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management, ai-based services, industrial artificial intelligence, job roles, role model
Citation
Extent
9
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.