Design of the Human Assembly Strategy in a Self-Optimizing Assembly Cell: A Case Study of IndonesiansNovie Susanto 1 , Ratna Purwaningsih 1 , Kharisma Panca Kurniawati 1
- Department of Industrial Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia
improve the human performance. The study was conducted on 60 people classified by age, young (16-34 years old) and old (older than 34 years old). Participants render predictions on an assembly activity for two interim states of two different types of products which are the Builderific brick and the Pulley Release based on four typesof the assembly strategy model (Reference, Combination, Human Behavior 1, and Human Behavior 2). The dependent variables are prediction time, mental workload, and predictive accuracy. The results show that the models of human assembly strategies and the products have significant influences on mental workload and predictive capability. The age variable significantly influences mental workload, performance, and prediction capabilities.
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