Human performance reliability: On-line assessment using fuzzy logic

William J. Kolarik, Jeffrey C. Woldstad, Susan Lu, Huitian Lu

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

This paper presents an on-line approach to monitoring human performance in terms of conditional reliability when one is performing a task. Unlike traditional human reliability analysis, this approach develops a dynamic model that is able to cope with constantly changing conditions that affect operator performance. A fuzzy knowledge-based assessment approach is developed in order to deal with uncertainty and subjectivity associated with human performance assessment. This technology includes three main parts/functions: (i) on-line performance monitoring; (ii) real-time performance forecasting; and (iii) performance reliability assessment. The technology is demonstrated in real-time and provides timely conditioned reliability information regarding task success/failure. In general, this technology offers human reliability assessment under highly dynamic circumstances.

Original languageEnglish (US)
Pages (from-to)457-467
Number of pages11
JournalIIE Transactions (Institute of Industrial Engineers)
Volume36
Issue number5
DOIs
StatePublished - May 2004

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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