Iterative industrial prototyping for Industry 4.0: data collection for factory-design simulation in seafood processing
ABSTRACT: This paper reports iterative industrial prototyping of data collection systems for simulating seafood factories. We identify the data necessary to achieve the level of realism factory designers need for effective design exploration, and propose methods to obtain them. Sixteen physical prototypes showed how prototyping shape dynamic requirements in the design process. Findings indicate that models need 3D shape and texture, which can be obtained from smartphone photogrammetry, and bending stiffness and multidirectional friction from cantilever and inclined plane tests.
Authors
- Irina Emily Hansen
- Ola Jon Mork
- Benjamin Karlsen
- Paul Steffen Kleppe
- Øystein Bjelland (ORCID: https://orcid.org/0000-0002-2581-9843)
- Andreas Norman
- Magnus Mortensen
- Jon Urcelay
- Lars Andre Giske
Institutions
- Norwegian University of Science and Technology (NO)
- Optima Neuroscience (United States) (US)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10688
- Primary Topic
- Architecture and Computational Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fiskeri - og havbruksnæringens forskningsfond