Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company)

One of the assumptions which not discussed in all methods of reliability analysis is that human performance depends on the conditions under which tasks and activities could performed. This condition could be related to both specific and environmental factors. In general، the performance shaping factors (PSFs)، or factors influencing performance (PIFs) returns the state to promote safety and reduce human error، so identify and evaluate these factors is considered as a necessity. This study is a case study in the control room. Three operational gas transmission companies has been implemented. To conduct this research، initially focused on the identification and selection of factors affecting the performance required for data collection، preparation and completion of a questionnaire، and finally the analysis was done using fuzzy logic. Analysis of the questionnaires showed that in the opinion of the control room operators، the quality of «number of simulation goals» and «available time» is acceptable، and «the adequacy of training and experience» is not acceptable. Identify and assess the factors affecting the performance of various industries using fuzzy analysis method is extremely useful to reduce human error.