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
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