Author:
Hoffmann Martin W,Drath Rainer,Ganz Christopher
Abstract
AbstractThe rise of artificial intelligence (AI) promises productivity gains in industrial practice. While IT technology offers a variety of technological advances, plant owners strive for stability and robustness of the production process. To overcome this tension field, we propose a set of 16 requirements for the development of industrial AI solutions to foster i) the adaptation process, ii) support the solution engineering and iii) ease the embedding into the existing system landscape while respecting iv) safety aspects to build up v) trust into industrial AI solutions. The proposed requirements can guide industrial stakeholders to focus on the right solution approach for specific production challenges and support them in voicing their own needs towards novel AI solutions. This will help AI developers to speed up time-to-market as well as to increase market acceptance of industrial AI solutions. Overall, specifying requirements on industrial AI will foster the acceptance and utilization rates of AI solutions in industrial practice.
Publisher
Springer Berlin Heidelberg
Reference35 articles.
1. Krueger, MW, et al. "A new era: ABB is working with the leading industry initiatives to help usher in a new industrial revolution." ABB Review 4/2014: 70-75, 2014.
2. Drath, R and Horch, A. “Industrie 4.0 – hit or hype?”, IEEE Industrial Electronics Magazine 01/2014; 8(2):56-58, 2014.
3. Fox, M. S. "Industrial applications of artificial intelligence." Robotics 2.4: 301-311, 1986.
4. Parunak, H. "Applications of distributed artificial intelligence in industry." Foundations of distributed artificial intelligence 2, 1996.
5. Yam, RCM, et al. "Intelligent predictive decision support system for condition-based maintenance." The International Journal of Advanced Manufacturing Technology 17.5: 383-391, 2001.
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