Year: 2011
Type: article
Abstract: Predictability of product quality and cycle and lead-times is vital for companies in order to improve production\nsystem performance and competitiveness. Ways of increasing predictability are e.g. elimination of identified\nproblems and standardization of tasks. A frequent cause of problems in production systems is humanautomation\ninteraction, a topic frequently approached by several research domains. This paper proposes that\nby analyzing changes in the production system’s physical and cognitive levels of automation (LoA) over time,\nsystem performance as well as effects of improvements can be predicted. A case study was conducted to test\na proposed LoA-Time method, where a taxonomy for physical and cognitive LoA assessment was used.\nPreliminary results indicate that LoA-Time can be used to identify differences in skill and interaction patterns in\norder to suggest system improvements, in terms of reduced sub-task time and better support.
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W100945733