Relations between complexity, quality and cognitive automation in mixed-model assembly
Artikel i vetenskaplig tidskrift, 2013

Modern assembly systems are adapting to the increased mass customization resulting in shorter cycle times, more variants and increased complexity for final assembly operators. More variants require additional support functions targeted for assembly operators to avoid assembly errors. An industrial case study was carried out in order to examine the relations between complexity, quality and cognitive automation. Complexity was quantified by the measure Operator Choice Complexity (OCC). Assembly errors were measured from historical data and cognitive automation was assessed on a task level. Results show that complexity positively correlates with assembly errors and that the usage of cognitive support is low. Over 60% of all tasks in the study were performed based on own experience. Increased usage of cognitive automation is needed in final assembly to minimize the negative effects of complexity.

Assembly

Cognitive automation

Complexity

Quality

Författare

Åsa Fasth Berglund

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Tommy Fässberg

Chalmers

Filip Hellman

Volvo

Anna Davidsson

Volvo

Johan Stahre

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

Journal of Manufacturing Systems

0278-6125 (ISSN)

Vol. 4 11 449-455

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Styrkeområden

Produktion

DOI

10.1016/j.jmsy.2013.04.011

Mer information

Senast uppdaterat

2018-09-10