Mass customization and paperless assembly in the learning factory for cyber-physical-production systems: Learning module 'from paperbased to paperless assembly'

Lukas Merkel, Johannes Atug, Christoph Berger, Stefan Braunreuther, Gunther Reinhart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Producing companies are facing rising numbers of variants and increasing international competition. Therefore, many companies seek to enable their production systems for mass customization. Especially in manual assembly, rising complexity can lead to lower productivity and higher error rates. In order to master growing complexity, assistance systems are introduced in manual assembly to support assembly workers by providing, transmitting and receiving relevant information. Since digitization influences entire work environments, knowledge and experience about digital technologies is needed in producing companies for the introduction process. In order to develop digital competences of production managers, this paper presents an interactive learning module in the Learning Factory for Cyber-physical Production Systems (CPPS). Based on an assembly scenario of remote-controlled cars, participants can experience the difference between paper-based and paperless assembly. This learning module shows new challenges for shopfloor managers, intra logistics as well as assembly workers. In an industrial assembly scenario with rising level of digitization, the participants discuss in a moderated workshop the impact of digitization on their own factory with experts from the learning factory.

Original languageEnglish
Title of host publicationProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018
EditorsNian-Shing Chen, Maiga Chang, Ronghuai Huang, K. Kinshuk, Kannan Moudgalya, Sahana Murthy, Demetrios G Sampson
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-271
Number of pages2
ISBN (Print)9781538660492
DOIs
StatePublished - 10 Aug 2018
Externally publishedYes
Event18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018 - Bombay, India
Duration: 9 Jul 201813 Jul 2018

Publication series

NameProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018

Conference

Conference18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018
Country/TerritoryIndia
CityBombay
Period9/07/1813/07/18

Keywords

  • Assembly
  • Learning factory
  • Mass customization

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