Human factors' complexity measurement of human-based station of assembly line

Cognitive heterogeneity causes operation time variability and high human error rates at human-based stations of assembly lines. It will affect the performance of the production activities, the design process of which depends on reliable estimate of operation time. To quantify operator cognition, we measured the human factors' complexity of human-based stations using an information entropy approach in aspect of operation time. Initially, the influence of the operators' cognition on the operation time is analyzed. Based on the analysis, the operation time model that considers cognition is presented. Then, the operation time model is modified by applying a correction method using the behavior correction factor, and, finally, the human factors' complexity measurement model is built. A case study is used to illustrate the application of the proposed method in order to measure the influence of human cognition on the performance of the human-based station.