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Enhancing Future Assembly Information Systems: Putting Theory into Practice
Volvo Group Trucks Operations, Gothenburg, 405 08, Sweden; Chalmers University of Technology, Gothenburg, 412 96, Sweden.
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0002-0429-2237
Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Volvo Group Trucks Operations, Gothenburg, 405 08, Sweden.
2018 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 17, p. 491-498Article in journal (Refereed) Published
Abstract [en]

The manufacturing industry is in a changing state where technology advancements change the mindset of how manufacturing systems will function in the future. Industry 4.0 provides manufacturing companies with new methods for improved decision-making processes and dynamic process control. Despite this ambition, the manufacturing industry is far away from implementing this approach in practice. Assembly information systems will play an even more vital role enabling information transfer from product design to shop floor assembly in the future. To prepare the industry for these changes that are foreseen and for those that are yet to be discovered, a learning factory environment is vital. Such an environment is intended to support the industry during the development of assembly information systems. This paper presents an industrial demonstrator which incorporates well-known methods for improving assembly work stations with the perspective on assembly information systems. These methods are still not widely used in manual assembly intense manufacturing companies. This demonstrator illustrates how established theories can be practically used when designing future assembly information systems. The demonstrator will be used to validate functionalities and requirements for future assembly information systems.

Place, publisher, year, edition, pages
2018. Vol. 17, p. 491-498
Keywords [en]
Assembly Information Systems, Learning factories, Digitalization, Assembly systems
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-13483DOI: 10.1016/j.promfg.2018.10.088ISI: 000471035200062Scopus ID: 2-s2.0-85060451329OAI: oai:DiVA.org:hv-13483DiVA, id: diva2:1286373
Conference
28th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2018; Hotel WestinColumbus; United States; 11 June 2018 through 14 June 2018
Funder
VinnovaAvailable from: 2019-02-06 Created: 2019-02-06 Last updated: 2020-02-05Bibliographically approved

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Malmsköld, Lennart

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