Volume 6, Issue 2 (Summer 2019)                   johe 2019, 6(2): 9-18 | Back to browse issues page

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Moradi A, Nadershahi M. A Fuzzy Multi-criteria Risk Assessment Based on Decision Matrix Technique: A Case Study in One of the Steel Industries. johe. 2019; 6 (2) :9-18
URL: http://johe.umsha.ac.ir/article-1-490-en.html
, ashkanmoradi47@gmail.com
Abstract:   (674 Views)
Background and Objective: Steel industries are among the most dangerous industries. Nowadays, risk assessment is of great importance in order to control them to maintain the health of the workforce. Decision matrix risk-assessment technique is a systematic approach widely used in the Occupational Health and Safety risk assessment. In this regard, the present study aimed at safety and occupational health risk assessment in one of the steel industry.
Materials and Methods: As a follow-up study used in the steel industry, the proposed risk assessment methodology was applied for hazard types in each department of the plant. In a typical matrix method approach, the measurement of risk value is obtained by evaluating two risk factors, including the likelihood of a hazard and severity of the hazard while it arises. In this study, the parameters of likelihood and severity related to the hazards in a steel manufacturing plant were weighted using Fuzzy Analytic Hierarchy Process, and then the priority order of various hazards was determined by Fuzzy Technique for Order Preference by Similarity of an Ideal.
Results: Performing the assessments led to the identification of 66 types of hazard in 6 sections, including the hazards of the storage, hazards of the furnace, hazards of the production hall, hazards of the maintenance hall, hazards of the packing hall, and hazards of the quality control department. According to the intradepartmental ranking results of risk assessment, D4, F4, F7, PH3, PH7, MH7, P2, and QC7 were the high-risk hazards (i.e., the first ranks of each department) and required the highest level of attention. However, D1, F16, PH13, MH10, P6, and QC5 were reported with the least risk level (i.e., the last ranks of each department).
Conclusion: The fuzzy approach enables experts to use verbal variables for evaluating two factors that are the parameters of the matrix method. Therefore, in the present study, the fuzzy approach was proposed to deal with shortcomings of a crisp risk score calculation and decrease the inconsistency in decision making. Depending on the risk control hierarchy, control measures were implemented regarding the hazards placed at the top of intradepartmental rankings. The obtained results of this study enable managers to make the best decisions in order to provide and implement preventive measures based on indicators and events by the evaluation of safety performance.
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Type of Study: Research Article | Subject: Safety

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