Improving Sustainability with Artificial Intelligence

被引:0
|
作者
Koch D. [1 ]
Schuseil F. [1 ]
Lentes J. [2 ]
Waltersmann L. [2 ]
机构
[1] Fraunhofer Ipa, Nobelstraße 12, Stuttgart
[2] Fraunhofer Iao, Stuttgart
来源
关键词
Artificial Intelligence; Ecological Sustainability; Implementation Guideline; Sustainability Management; Sustainable Production;
D O I
10.1515/zwf-2023-1057
中图分类号
学科分类号
摘要
Artificial Intelligence (AI) can be used to evaluate complex and large amounts of data to identify patterns and predict the behavior of complex systems. AI can serve as an enabler to reduce environmental impacts and optimize the sustainability of manufacturing companies. This paper demonstrates the potential of combining sustainability and AI to achieve the sustainability goals of a company. A detailed implementation guideline is presented that supports management to introduce AI systems to optimize sustainability. © 2023 Walter de Gruyter GmbH, Berlin/Boston, Germany.
引用
收藏
页码:307 / 311
页数:4
相关论文
共 50 条
  • [31] Technological Sustainability and Artificial Intelligence Algor-ethics
    Mantini, Alessandro
    SUSTAINABILITY, 2022, 14 (06)
  • [32] Artificial Intelligence Enabling Water Desalination Sustainability Optimization
    Alzu'bi, Shadi
    Alsmirat, Mohammad
    Al-Ayyoub, Mahmoud
    Jararweh, Yaser
    PROCEEDINGS OF 2019 7TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2019, : 922 - 925
  • [33] THE INTERSECTION BETWEEN ARTIFICIAL INTELLIGENCE AND SUSTAINABILITY: CHALLENGES AND OPPORTUNITIES
    Poscic, Ana
    EU AT THE CROSSROADS - WAYS TO PRESERVE DEMOCRACY AND RULE OF LAW, 2024, 8 : 748 - 768
  • [34] The potential role of artificial intelligence in sustainability of nuclear medicine
    Currie, G. M.
    Hawk, K. E.
    Rohren, E. M.
    RADIOGRAPHY, 2024, 30 : S119 - S124
  • [35] Harnessing Artificial Intelligence for Efficiency and Sustainability in the Water Industry
    Vredevoogd, Amy
    Journal of the New England Water Works Association, 2024, 138 (03) : 21 - 30
  • [36] Comparison of artificial intelligence algorithms to estimate sustainability indicators
    Bienvenido-Huertas, David
    Farinha, Fatima
    Oliveira, Miguel Jose
    Silva, Elisa M. J.
    Lanca, Rui
    SUSTAINABLE CITIES AND SOCIETY, 2020, 63 (63)
  • [37] Application of artificial intelligence in improving immunotherapeutic efficacy
    Li, Jie
    Zhang, Yuyuan
    Liu, Zaoqu
    Han, Xinwei
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [38] Improving Operational Reliability by Means of Artificial Intelligence
    Serdyukov V.I.
    Serdyukova N.A.
    Shishkina S.I.
    Russian Engineering Research, 2018, 38 (1) : 15 - 18
  • [39] Artificial intelligence for improving intraoperative surgical care
    Andrew P. Bain
    Carla N. Holcomb
    Herbert J. Zeh
    Ganesh Sankaranarayanan
    Global Surgical Education - Journal of the Association for Surgical Education, 3 (1):
  • [40] Artificial intelligence: improving the efficiency of cardiovascular imaging
    Lin, Andrew
    Kolossvary, Marton
    Isgum, Ivana
    Maurovich-Horvat, Pal
    Slomka, Piotr J.
    Dey, Damini
    EXPERT REVIEW OF MEDICAL DEVICES, 2020, 17 (06) : 565 - 577