scholarly journals Semantic Interoperability for Logistics and Beyond

2021 ◽  
pp. 109-128
Author(s):  
Marco Franke ◽  
Karl Hribernik ◽  
Klaus-Dieter Thoben
Keyword(s):  
Industry 4.0 ◽  
Information Sources ◽  
Product Lifecycle Management ◽  
Research Centre ◽  
The Internet ◽  
Product Lifecycle ◽  
Heterogeneous Information ◽  
Heterogeneous Information Sources ◽  
Lifecycle Management ◽  
The Internet Of Things

AbstractA Semantic Mediator was conceived in the CRC 637 (The Collaborative Research Centre 637 “Autonomous Cooperating Logistic Processes” focused on adaptive logistic processes including autonomous capabilities for the decentralised coordination of autonomous logistic objects in a heterarchical structure.) to tackle problems of interoperability of heterogeneous information sources in autonomous cooperating logistics processes. Since the conclusion of the CRC 637, the Semantic Mediator has been developed further and successfully transferred to interoperability problems in different domains, including Industry 4.0, the Internet of Things, and Product Lifecycle Management. This paper will introduce the Semantic Mediator and present examples of its successful application.

scholarly journals Special Issue of the Manufacturing Engineering Society 2020 (SIMES-2020)

2021 ◽  
Vol 11 (13) ◽  
pp. 5975
Author(s):  
Ana María Camacho ◽  
Eva María Rubio
Keyword(s):  
Applied Sciences ◽  
Modeling And Simulation ◽  
Industry 4.0 ◽  
Product Lifecycle Management ◽  
Special Issue ◽  
Product Lifecycle ◽  
Manufacturing Automation ◽  
Engineering Society ◽  
Manufacturing Engineering ◽  
Lifecycle Management

The Special Issue of the Manufacturing Engineering Society 2020 (SIMES-2020) has been launched as a joint issue of the journals “Materials” and “Applied Sciences”. The 14 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of Manufacturing Engineering focusing on advances and innovations in manufacturing processes; additive manufacturing and 3D printing; manufacturing of new materials; Product Lifecycle Management (PLM) technologies; robotics, mechatronics and manufacturing automation; Industry 4.0; design, modeling and simulation in manufacturing engineering; manufacturing engineering and society; and production planning. Among them, the topic “Manufacturing engineering and society” collected the highest number of contributions (representing 22%), followed by the topics “Product Lifecycle Management (PLM) technologies”, “Industry 4.0”, and “Design, modeling and simulation in manufacturing engineering” (each at 14%). The rest of the topics represent the remaining 35% of the contributions.

scholarly journals Requirements for a Product Lifecycle Management System Using Internet of Things and Big Data Analytics for Product-as-a-Service

2021 ◽  
Vol 2 ◽  
Author(s):  
Tomohiko Sakao ◽  
Alex Kim Nordholm
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Use Phase ◽  
Lifecycle Management ◽  
Original Equipment Manufacturers ◽  
The Internet Of Things

Product-as-a-service (PaaS) offerings have advantages and potential for transforming societies to a circular economy and for improving environmental performance. Original equipment manufacturers providing PaaS offerings take higher responsibility for product performances in the use phase than those selling products. This responsibility can be supported by digital technologies such as the Internet of Things (IoT) and big data analytics (BDA). However, insights on how data of product designs and in-use services are managed for PaaS offerings in product lifecycle management (PLM) software are scarce. This mini-review first gives an account of extant major research works that successfully applied BDA, a specific technique of artificial intelligence (AI), to cases in industry through a systematic literature review. Then, these works are analyzed to capture requirements for a PLM system that will exploit the IoT and BDA for PaaS offerings. The captured requirements are summarized as (1) facilitate product and service integration, (2) address multiple lifecycles, (3) adopt an ontology approach encompassing several product standards, and (4) include reading data to process in an interoperation layer.

scholarly journals Product Lifecycle Management Maturity Models in Industry 4.0

2018 ◽  
pp. 659-669
Author(s):  
Kássio Cabral Pereira dos Santos ◽  
Eduardo de Freitas Rocha Loures ◽  
Osíris Canciglieri Junior ◽  
Eduardo Alves Portela Santos
Keyword(s):  
Industry 4.0 ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Maturity Models ◽  
Lifecycle Management

Industrial blockchain based framework for product lifecycle management in industry 4.0

2020 ◽  
Vol 63 ◽  
pp. 101897 ◽  
Author(s):  
X.L. Liu ◽  
W.M. Wang ◽  
Hanyang Guo ◽  
Ali Vatankhah Barenji ◽  
Zhi Li ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Lifecycle Management

Accelerating the Adoption of Industry 4.0 Supporting Technologies in Manufacturing Engineering Courses

2017 ◽  
Vol 903 ◽  
pp. 100-111 ◽  
Author(s):  
José Ríos ◽  
Fernando Mas ◽  
Mariano Marcos Bárcena ◽  
Carlos Vila ◽  
Done Ugarte ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Development Framework ◽  
Computer Aided ◽  
The Future ◽  
Manufacturing Engineering ◽  
Lifecycle Management ◽  
Industrial Context ◽  
Working Method

Universities are one of the fundamental actors to guarantee the dissemination of knowledge and the development of competences related to the Industry of the Future (IoF) or Industry 4.0. Computer Aided (CAX) and Product Lifecycle Management (PLM) technologies are key part in the IoF. With this aim, it was launch a project focused on Manufacturing and partially funded by La Fondation Dassault Systèmes. This communication presents a review on CAX-PLM training, four initiatives already in place in universities participating in the project, the project scope, the approach to integrate with the industrial context, the working method to consider different competence profiles and the development framework.

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