工业工程

工业工程

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基于ACT-R模型的汽车冷媒加注工序人因防错研究

  

  1. 1. 陕西科技大学 机电工程学院, 陕西 西安 710021; 2. 西安交通大学 管理学院, 陕西 西安 710049; 3. 过程控制与效率工程教育部重点实验室, 陕西 西安 710049
  • 出版日期:2016-12-31 发布日期:2017-02-22
  • 作者简介:邓明明（1977-），男，陕西省人，博士，博士后，主要研究方向为工业工程、人因工程.
  • 基金资助:

    国家自然科学基金资助项目（71471144）； 陕西科技大学博士科研启动基金资助项目（BJ15-36）

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

  1. 1. School of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi′an 710021， China；2. School of Management, Xi′an Jiaotong University, Xi′an 710049， China；3. The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects, Xi′an 710049， China

  • Online:2016-12-31 Published:2017-02-22

摘要：

为了对汽车装配中冷媒加注工序进行有效的人因防错设计，应用ACT-R认知模型分析操作行为的人因失误。对汽车冷媒加注操作进行ACT-R认知行为建模，并运用CogTool软件仿真，得出空调类型与车型不匹配的错误和管路辨识错误是冷媒加注工序中的主要人因失误，验证了ACT-R认知模型应用到冷媒加注操作人因失误分析的有效性。并结合防错设计的消除、检测、替代、简化、减少等思路，对冷媒加注生产工序进行了人因防错设计。企业的反馈评价说明了本防错设计的可行性和有效性。

关键词: 人因, 防错, ACTR模型, 认知模型

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