Analysis of Indicators Affecting the Faulty Behavior Risk with Fuzzy Multiple

Abstract

Background and aims: Faulty behavior may be lead to results such as negative effect on effectiveness and efficiency of operational systems, system safety, health of labor and continuous production. Therefore, the aim of this research is surveying and analyzing the indicators that are effected on Faulty Behavior Risk in the operational system with method of Fuzzy Multiple Criteria Decision Making (FMCDM) in one of the departments of Tehran oil refinery cooperation. Methods: This research is an analytical and descriptive study. There are three questionnaires that were used in this research the first questionnaire is completed by 32 staff of energy unit in order to screen indicators the second questionnaire is completed by 3 experts of that unit and the third questionnaire is completed by 4 experts. Then in order to determine weight of 4 main indicators and screened 15 subcriteria FMCDM techniques like ANP approach and Visual Basic programming technique were used. Finally in order to determine severity of influencing and being influenced of sub-criteria DEMATEL technique and Matlab software were applied. Results: Research findings showed that among four main identified indicators, indicator of subjective factors has the maximum weight and effect and then followed by indicators of institutional factors human factors and occupational factors respectively. Also among sub-criteria, interest in job sub-criteria had the maximum weight and effect, followed by fatigue and knowledge of workers sub-criteria. In view of severity of sub-criteria effecting to each other management commitment and employee training were identified respectively also in view of severity of influencing sub-criteria workflow and attention and focus sub-criteria were identified respectively. Conclusion: According to research findings and determination of weight and severity of influencing and being influenced sub-criteria relative to employees ś behavior, managers and decision makers of this unit will be obtain valuable information which can be used in planning and decision making of that unit or same units regarding declining risk and increasing safety and productivity.

Keywords

• safety faulty behavior risk fuzzy multiple criteria decision making(fmcdm) fuzzy analysis network procces (fanp) decision making trial and evaluation laboratory dematel))