Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems
Paper in proceeding, 2020
Rapid technological advances present new opportunities to use industrial Big Data to monitor and improve performance more systematically and more holistically. The on-going fourth industrial revolution, aka Industrie 4.0, holds the promise to support the implementation of sustainability principles in manufacturing. However, much of these opportunities are missed as social and environmental performance are still largely considered as an afterthought or add-on to business as usual. This paper reviews existing data life cycle models and discusses their usefulness for sustainable manufacturing performance management. Finally, we suggest possible directions for further research to promote more sustainable cyber-physical production systems.
Sustainable manufacturing
Data life cycle
Sustainability assessment
Industrial big data
Sustainability performance
Author
Mélanie Despeisse
Chalmers, Industrial and Materials Science, Production Systems
Ebru Turanoglu Bekar
Chalmers, Industrial and Materials Science, Production Systems
IFIP Advances in Information and Communication Technology
1868-4238 (ISSN) 1868-422X (eISSN)
Vol. 592 IFIP 57-659783030579968 (ISBN)
Advances in Production Management Systems
Novi Sad, Serbia,
Novi Sad, Serbia,
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Environmental Management
Information Systemes, Social aspects
Other Electrical Engineering, Electronic Engineering, Information Engineering
Driving Forces
Sustainable development
Areas of Advance
Production
DOI
10.1007/978-3-030-57997-5_7