Concepts for Digitalisation of Assembly Instructions for Short Takt Times
Paper i proceeding, 2021

Operational complexity for shop-floor operators can be reduced with e ective presentation of instructions, which in turn improves product quality. While this has been researched for longer takt times, final assembly with shorter takt times requires new approaches to properly support operators. Hence, this paper aims to present findings regarding concepts for digitalised assembly instructions to support shop-floor operators in a mixed model final assembly with shorter takt times. A bottom-up mixed-methods approach was applied in an iterative development process, resulting in concepts for short takt time instructions. The findings indicate how to cognitively support operators in two situations. First, work tasks are preferably taught beforehand, with educational instructions. Second, operators should be supported with simplified instructions, presenting key elements and deviations in real-time. Conclusively, these concepts will increase the likelihood of the instruction to be used by operators, which enables standardised work and contributes to enhanced product quality.

Digitalisation

Final Assembly

Operator 4.0

Industry 4.0

Short Takt Times

Mixed Model

Assembly Instructions

Författare

Anna Palmqvist

Chalmers, Industri- och materialvetenskap, Produktionssystem

Emelie Vikingsson

Chalmers, Industri- och materialvetenskap, Produktionssystem

Dan Li

Chalmers, Industri- och materialvetenskap, Produktionssystem

Åsa Fasth Berglund

Chalmers, Industri- och materialvetenskap, Produktionssystem

Niklas Lund

Volvo Cars

Procedia CIRP

22128271 (eISSN)

Vol. 97 154-159

8th CIRP Conference on Assembly Technology and Systems
Aten, Greece,

TACO (insTruction innovAtion for Cognitive Optimisation)

VINNOVA (2019-03119), 2019-11-01 -- 2021-10-31.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Drivkrafter

Hållbar utveckling

Styrkeområden

Produktion

DOI

10.1016/j.procir.2020.05.218

Mer information

Senast uppdaterat

2022-01-14