Transforming traditional production systems into smart production systems

Ole Madsen, Ulrich Berger, Sergio Cavalieri

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

This minitrack will address scientific and technical research on how traditional production systems are transformed into next generation smart production systems. It comprises a mix of presentations from leading industries (automotive and aircraft) as well as from well-known research institutions (Fraunhofer society, Germany) and universities (Brandenburg University of Technology Cottbus-Senftenberg, University of Bergamo, Aalborg University). The minitrack will foster discussions concerning the strategies companies are adopting for managing such transformation, the need for new competences for sustaining it, the implementation of new digital technologies and their impact on the existing production systems.

Original languageEnglish
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
EditorsTung X. Bui
Number of pages2
PublisherIEEE Computer Society Press
Publication date2020
Pages4579-4580
ISBN (Electronic)978-0-9981331-3-3
Publication statusPublished - 2020
Event53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States
Duration: 7 Jan 202010 Jan 2020

Conference

Conference53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Country/TerritoryUnited States
CityMaui
Period07/01/202010/01/2020
SponsorAIS, Automation Anywhere, et al., IBM, Pacific Research Institute for Informatics Systems and Management (PRIISM), University of Hawai'i at Manoa, Shidler College of Business
SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN1530-1605

Bibliographical note

Publisher Copyright:
© 2020 IEEE Computer Society. All rights reserved.

Fingerprint

Dive into the research topics of 'Transforming traditional production systems into smart production systems'. Together they form a unique fingerprint.

Cite this