Maintenance Management of an Additive Manufacturing System Based on the I4.0 Model

被引：2

作者：

David Contreras, Juan ^{[1
]}

Isidro Garcia, Jose ^{[2
]}

Gomez, Julian ^{[2
]}

机构：

[1] Pontificia Univ Javeriana Cali, Cali, Colombia

[2] Univ Valle, Cali, Colombia

来源：

APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2021 | 2021年 / 1431卷

关键词：

Industry; 4.0; 3D printer; Asset administration shell; INDUSTRY; 4.0; OPPORTUNITIES; CHALLENGES;

D O I：

10.1007/978-3-030-86702-7_26

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Currently, novel industrial organizations have emerged supported by the Industry 4.0 model. This digital transformation encourages a technological integration where addictive manufacturing plays a resale role. In this sense, this work focuses on the definition of an addictive manufacturing industrial environment under the Industry 4.0 model that integrates a value-based platform. The model presented strengthens maintenance management allowing new scenarios, such as: self-maintenance and remote maintenance.

引用

页码：299 / 311

页数：13

共 50 条

[1] Interaction model for I4.0 components
Diedrich, Christian
Bieliaiev, Alexander
Bock, Juergen
Goessling, Andreas
Haenisch, Rolf
Kraft, Andreas
Pethig, Florian
Niggemann, Oliver
Reich, Johannes
Und, Friedrich Vollmar
Wende, Joerg
[J]. AT-AUTOMATISIERUNGSTECHNIK, 2017, 65 (01) : 5 - 18
[2] Learning Based on SmartTechLab for I4.0
Pitel', Jan
Zidek, Kamil
Modrak, Vladimir
Hosovsky, Alexander
[J]. MANAGING AND IMPLEMENTING THE DIGITAL TRANSFORMATION, ISIEA 2022, 2022, 525 : 309 - 318
[3] An industrial agent-based customizable platform for I4.0 manufacturing systems
Lopez, Alejandro
Casquero, Oskar
Estevez, Elisabet
Armentia, Aintzane
Orive, Dario
Marcos, Marga
[J]. COMPUTERS IN INDUSTRY, 2023, 146
[4] A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments
Di Modica, Giuseppe
Foschini, Luca
[J]. JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 2023, 31 (02)
[5] Developing an I4.0 Cyber-Physical System to Enhance Efficiency and Competitiveness in Manufacturing
Jamil, Fraz
Pang, Toh Yen
Cheng, Chi-Tsun
[J]. APPLIED SCIENCES-BASEL, 2023, 13 (16):
[6] A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments
Giuseppe Di Modica
Luca Foschini
[J]. Journal of Network and Systems Management, 2023, 31
[7] Challenges of I4.0 Smart control processes in electronics manufacturing
Takacs, Attila
[J]. 2018 19TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2018,
[8] Manufacturing system under I4.0 workshop based on blockchain: Research on architecture, operation mechanism and key technologies
Ding, Kai
Fan, Liuqun
Liu, Chen
[J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 161
[9] Intelligent Manufacturing Systems: Self-organization in the I4.0 context
Veiga, Jackson T.
Pessoa, Marcosiris A. O.
Junqueira, Fabricio
Miyagi, Paulo E.
dos Santos Filho, Diolino J.
[J]. 2021 14TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), 2021, : 153 - 160
[10] Manufacturing Strategy Dimensions as I4.0 Performance Antecedents in Developing Economies
Gupta, Amit Kumar
Gupta, Narain
[J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I, 2021, 630 : 171 - 179

← 1 2 3 4 5 →