Requirements for the Use of Digitization and AI |
Applications for increasing energy efficiency
| Journal | Industrie 4.0 Management |
| Issue | Volume 38, 2022, Edition 1, Pages 17-22 |
| Open Access | https://doi.org/10.30844/I40M_22-1_17-22 |
| Bibliography | Share | Cite | Download |
Abstract
Innovative digital and AI solutions for more energy-efficient production can decisively contribute to the environmental impact and competitiveness of companies, especially in the manufacturing industry. Requirements for the functionality and implementation of these solutions are complex and diverse; multiple stakeholders need to be addressed when eliciting requirements and various technology and business aspects have to be considered. This article presents a procedure for requirements elicitation for energy efficiency digitalization and AI projects.
Keywords
Artificial intelligence, Digitalisierung, digitalization, energy efficiency, Künstliche Intelligenz, machine learning, requirement engineering, sustainable production
Bibliography
[1] Brockhaus, C. P.; Bischoff, T. S.; Haverkamp, K.; Proeger, T.; Thonipara, A.: Digitalisierung von kleinen und mittleren Unternehmen in Deutschland – ein Forschungsüberblick. 2020.[2] Christel, M. G.; Kang, K. C.: Issues in Requirements Elicitation. Fort Belvoir, Virginia, USA 1992.
[3] Kotonya, G.; Sommerville, I.: Requirements engineering. Processes and techniques. In: Kotonya, G.; Sommerville, I.: Worldwide series in computer science. Chichester, UK 1998.
[4] Berenbach, B.: Software & systems requirements engineering. In: Berenbach, B. u. a.: practice. New York, USA 2009.
[5] Pacheco, C.; García, I.; Reyes, M.: Requirements elicitation techniques: a systematic literature review based on the maturity of the techniques. In: IET softw. 4 (2018), S. 365-378.
[6] Farinha, C.; da Silva, M. M.: Requirements Elicitation with Web-Based Focus Groups. In: Pooley, J. (Hrsg): Information systems development. Reflections, challenges and new directions. New York, USA 2013.
[7] Ribeiro, C.; Farinha, C.; Pereira, J.; Da Mira Silva, M.: Gamifying requirement elicitation: Practical implications and outcomes in improving stakeholders collaboration. In: Entertainment Computing 4 (2014), S. 335-345.
[8] Ordóñez, H.; Villada, A. F. E.; Vanegas, D. L. V.; Cobos, C.; Ordóñez, A.; Segovia, R.: An Impact Study of Business Process Models for Requirements Elicitation in XP. In: Gervasi (Hrsg): Computational Science and Its Applications, vol. 9155 (2015), S. 298-312.
[9] Castaneda, V.; Ballejos, L.C.; Caliusco, M. L.; Galli, M.: The Use of Ontologies in Requirements Engineering. In: Global Journal of Research. In: Engineering vol. 10 (2010).
[10] Blomberg, J.; Giacomi, J.; Mosher, A.; Swenton-Wall, P.: Ethnographic Field Methods and Their Relation to Design, S. 123-155.
[11] Sommerville, I.; Rodden, T.; Sawyer, P.; Bentley, R.; Twidale, M.: Integrating ethnography into the requirements engineering process. In: Proceedings of the IEEE (1992), S. 165-173.
[12] Clark, T.; Osterwalder, A.; Pigneur, Y.: Business Model You. A One-Page Method For Reinventing Your Career. Hoboken, New Jersey, USA 2012.
[13] ecoKI. Forschungs- und Technologieplattform: Steigerung der Energieeffizienz in der Produktion durch Digitalisierung und KI. URL: www. ecoki.de, Abrufdatum 28.09.2021.
Your downloads
Potentials: Energy Efficiency
You might also be interested in
