Applying the Skill-Rule-Knowledge Framework to Understanding Operators%26apos; Behaviors and Workload in Advanced Main Control Rooms

作者：Lin Chiuhsiang Joe^*; Shiang Wei Jung; Chuang Chun Yu; Liou Jin Liang

来源：Nuclear Engineering and Design, 2014, 270: 176-184.

DOI：10.1016/j.nucengdes.2013.12.051

For the past years, a number of researches have focused on operators%26apos; behaviors and workloads in advanced main control rooms (MCRs) in either the procedure-domain or knowledge-domain and in either workload-increased or workload-decreased conditions. Different job positions connote different responsibilities and abilities that are required to perform the job successfully. However, it may be inappropriate to apply a dichotomy in these issues. In this study, we clarified these controversial points through the analysis of the time, frequency, and workload of the behaviors based on Rasmussen%26apos;s skill-rule-knowledge classification (SRK framework) according to the supervisor operator (SRO), reactor operator (RO), and assistant reactor operator (ARO). The results showed that, for the SRO, rule- and knowledge-based behaviors occurred more often than skill-based behavior in terms of time and frequency, and knowledge-based behavior was the main source of workload. For the RU, no significant differences were found among the three behavior types in terms of frequency and workload, but more time was spent on rule-based behaviors than on skill- and knowledge-based behaviors. The ARO spent more time performing skill-based behaviors than rule- and knowledge-based behaviors, but in terms of frequency and workload, rule-based behavior was the predominant type. Operators%26apos; behaviors contribute to a plant%26apos;s defense-in-depth approach to safety and serve a vital function in ensuring its safe operation. Research on behavioral taxonomies of advanced MCRs has many significant benefits in both scientific-theoretical and applied practical fields.

• 出版日期2014-4-15