Enhancing Industry 4.0 Maturity: Integrating Lean Practices as a Key Feature in Artificial Intelligence-Driven Decision Support Model for Companies

被引：0

作者：

Oussama, Ben Ali ^{[1
]}

Fehmi, H'Mida ^{[2
]}

Sondes, Hammami ^{[3
]}

机构：

[1] Natl Engn Sch Tunis ENIT, Mech Prod & Energy Lab LMPE LR18ES01 ENSIT, Tunis, Tunisia

[2] Natl Engn Sch Carthage ENICarthage, Mech Prod & Energy Lab LMPE LR18ES01 ENSIT, Tunis, Tunisia

[3] Natl Engn Sch Carthage ENICarthage, Syst Anal Design & Control Lab LR ACS ENIT, Tunis, Tunisia

来源：

28TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, INES 2024 | 2024年

关键词：

Artificial intelligence; Industry; 4.0; decision-support tool; machine learning; smart; maturity level; IMPLEMENTATION;

D O I：

10.1109/INES63318.2024.10629100

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an Artificial intelligence (AI)-driven approach designed to provide a sophisticated decision support tool for companies. The main goal of this machine learning (ML) model is to aid companies in elevating their Industry 4.0 maturity level by guiding strategic decision-making processes, drawing insights from successful companies that have attained high maturity levels in similar contexts.

引用

页码：21 / 26

页数：6

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