A Study of Human Factor Error-proofing in Truck Refrigerant Filling Process Based on ACT-R Model

Abstract

Abstract:

To effectively design human factor errorproofing, ACTR model is used to analyze the human errors in operation behavior. The human cognitive behavior in the truck refrigerant filling process is modeled by ACTR, and simulated by applying CogTool software. The main human errors are the airconditioning type mismatching with the truck type and pipeline identification error. The effectiveness of analyzing human errors by ACTR model is verified. Combining with the ideas of human factor errorproofing design, such as eliminate, combine, rearrange, simplify and decrease, the human factor errorproofing is designed in the truck refrigerant filling process. The feasibility and effectiveness of this errorproofing design are illustrated by the feedback evaluation of the enterprise.

Key words: human factor, errorproofing, ACT-R（adaptive control of thought-rational）model, cognition model

DENG Mingming1,2,3， ZHU Guoqi2,3. A Study of Human Factor Error-proofing in Truck Refrigerant Filling Process Based on ACT-R Model[J]. Industrial Engineering Journal .

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