Artificial Intelligence Decision Systems to Support Industrial Equipment Manufacturing

被引:0
作者
Andres, Beatriz [1 ]
Mateo-Casali, Miguel Angel [1 ]
Pablo Fiesco, Juan [1 ]
Poler, Raul [1 ]
机构
[1] Univ Politecn Valencia UPV, Res Ctr Prod Management & Engn CIGIP, Camino de Vera S-N, Valencia 46022, Spain
来源
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND INDUSTRIAL MANAGEMENT, ICIEIM-XXVII CONGRESO DE INGENIERIA DE ORGANIZACION, CIO 2023 | 2024年 / 206卷
关键词
Artificial intelligence; Life cycle manufacturing; Smart Manufacturing; Industry; 4.0; Lean Manufacturing;
D O I
10.1007/978-3-031-57996-7_75
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article discusses how integrating artificial intelligence (AI) into Industry 4.0 can promote sustainability and resilience in production systems. It addresses the lifecycle manufacturing concept, which aims to minimise waste and reduce the environmental impact of manufacturing operations. This paper focuses on the specific machine tool production sector and how AI technology can optimise production processes by reducing downtimes and improving overall manufacturing efficiency. Accordingly, the article aims to identify the needs that industrial equipment manufacturers have during the replenishment, production and delivery processes, and how AI could fulfil these needs. By leveraging AI technologies, manufacturers can significantly improve efficiency, profitability and customer satisfaction, which results in improved performance and business growth. The paper also introduces European HORIZON project AIDEAS, which aim to develop AI technologies to support the manufacturing phase of the industrial equipment life cycle.
引用
收藏
页码:438 / 443
页数:6
相关论文
共 50 条
[31]   Decision Support in Production Environment Using Artificial Intelligence [J].
Skoczylas, Artur ;
Franczyk, Bogdan ;
Gryncewicz, Wieslawa ;
Zygala, Ryszard .
EMERGING CHALLENGES IN INTELLIGENT MANAGEMENT INFORMATION SYSTEMS, ECAI 2023-IMIS 2023 WORKSHOP, 2024, 1079 :50-61
[32]   Decision support and artificial intelligence in GIS: Overview and applications [J].
Tzafestas, SG ;
Laliotis, LN ;
Protonotarios, M .
CONTROL APPLICATIONS & ERGONOMICS IN AGRICULTURE, 1999, :53-60
[33]   Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review [J].
Kim, Sung Wook ;
Kong, Jun Ho ;
Lee, Sang Won ;
Lee, Seungchul .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2022, 23 (01) :111-129
[34]   Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review [J].
Sung Wook Kim ;
Jun Ho Kong ;
Sang Won Lee ;
Seungchul Lee .
International Journal of Precision Engineering and Manufacturing, 2022, 23 :111-129
[35]   Advancements in Artificial Intelligence-Based Decision Support Systems for Improving Construction Project Sustainability: A Systematic Literature Review [J].
Smith, Craig John ;
Wong, Andy T. C. .
INFORMATICS-BASEL, 2022, 9 (02)
[36]   Artificial intelligence for decision support systems in the field of operations research: review and future scope of research [J].
Gupta, Shivam ;
Modgil, Sachin ;
Bhattacharyya, Samadrita ;
Bose, Indranil .
ANNALS OF OPERATIONS RESEARCH, 2022, 308 (1-2) :215-274
[37]   Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review [J].
Malak, Jaleh Shoshtarian ;
Zeraati, Hojjat ;
Nayeri, Fatemeh Sadat ;
Safdari, Reza ;
Shahraki, Azimeh Danesh .
ARTIFICIAL INTELLIGENCE REVIEW, 2019, 52 (04) :2685-2704
[38]   Artificial Intelligence-Driven Decision Support Systems for Sustainable Energy Management in Smart Cities [J].
Ma, Ning .
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (09) :523-529
[39]   Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review [J].
Jaleh Shoshtarian Malak ;
Hojjat Zeraati ;
Fatemeh Sadat Nayeri ;
Reza Safdari ;
Azimeh Danesh Shahraki .
Artificial Intelligence Review, 2019, 52 :2685-2704
[40]   Artificial intelligence for decision support systems in the field of operations research: review and future scope of research [J].
Shivam Gupta ;
Sachin Modgil ;
Samadrita Bhattacharyya ;
Indranil Bose .
Annals of Operations Research, 2022, 308 :215-274