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


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 57-65
9783030579968 (ISBN)

Advances in Production Management Systems
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




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