Comparison of Commonly Used Accident Analysis Techniques for Manufacturing Industries
The adverse consequences of major accident events have led to development of accident analysis techniques to investigate thoroughly the accidents. However, each technique has its own advantages and shortcomings,which make it very difficult to find a single technique being capable of analyzing all types of accidents. Therefore, the comparison of accident analysis techniques would help finding out their capabilities in different circumstances to choose the most one. In this research, the techniques CBA and AABF were compared with Tripod β in order to determine the superior technique for analysis of major accidents in manufacturing industries. At first step, the comparison criteria were developed using Delphi Method. Afterwards, the relative importance of each criterion was qualitatively determined and the qualitative values were then converted to the quantitative values applying Fuzzy triangular numbers. Finally, the TOPSIS was used to prioritize the techniques in terms of the preset criteria. The results of the study showed that Tripod β is superior to the CBA and AABF. It is highly recommended to compare all available accident analysis techniques based on proper criteria in order to select the best one whereas improper choice of accident analysis techniques may lead to misguided results.
Anker R. Chernyshev I, Egger P, Mehran F, Ritter JA. Measuring decent work with statistical indicators. Int Libr Rev 2003; 142(2): 147-178.
Watterson A. British and Related European Workplace Health and Safety Policies and Practices. New Solut 1994; 5(1): 62-71.
Rikhardsson PM, Impgaard M. Corporate cost of occupational accidents: an activity-based analysis. Accident Anal Prev 2004; 36(2), 173-182.
Aaltonen M, Oinonen K, Kitinoja JP, Saari J, Tynkkynen M, Virta H. Costs of occupational accidents-effects of occupational safety on company business a research and development project. Scientific 2006; 47-51.
Escobedo E, Jett F, Lao T. Communication Issues in a Multilingual Business Environment: Insights from Managers. GJBR 2012; 6(4), 69-75.
Mathers CD, Iburg KM, Begg S. Adjusting for dependent comorbidity in the calculation of healthy life expectancy. Popul Health Metr 2006; 4(1), 4.
Akbari ME, Naghavi M, Soori H. Epidemiology of deaths from injuries in the Islamic Republic of Iran. East Mediterr Health J 2006; 12(3/4), 382.
Mohammadfam I., Nikoomaram H, Lotfi FH, Mansouri N, Rajabi AA, Mohammadfam F. Development of a Decision-Making Model for Selecting and Prioritizing Accident Analysis Techniques in Process Industries. J Sci Ind Res India 2014; 73(8), 517-520.
Mohammadfam I, Mansouri N, Nikoomaram N. Systemic Accident Analysis Methods: A Comparison of Tripod-β, RCA and ECFC. Jundishapur J Health Sci 2014; 6.2, 327-333.
Herrera IA, Woltjer R. Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis. Reliab Eng Syst Safe 2010; 95.12, 1269-1275.
Leveson N. A new accident model for engineering safer systems. Safety Sci 2004; 42.4. 237-270.
Kontogiannis T, Leopoulos V, Marmaras N. comparison of accident analysis techniques for safety-critical man–machine systems. Int J Ind Ergonom 2000; 25.4, 327-347.
Nolan DP. Loss Prevention and Safety Control: Terms and Definitions. CRC Press 2010; 36 - 60.
Sklet S. Comparison of some selected methods for accident investigation. J Hazard Mater 2004; 111(1), 29-37.
Fam IM, Kianfar A, Faridan M. Application of Tripod-Beta Approach and Map-Overlaying Technique to Analyze Occupational Fatal Accidents in a Chemical Industry in Iran. Int J Occup Hyg 2010; 2(1), 30-36.
Hwang CL, Yoon K. Lecture notes in economics and mathematical systems. Multiple Objective Decision Making, Methods and Applications: A State-of-the-Art Survey 1981; 164.
Fam IM, Nikoomaram H, Soltanian A. Comparative analysis of creative and classic training methods in health, safety and environment (HSE) participation improvement. J Loss Prevent Proc 2012; 25(2), 250-253.
Benner L. Rating accident models and investigation methodologies. J Safety Res 1985; 16(3), 105-126.
Cook R, Rasmussen J. Going solid”: a model of system dynamics and consequences for patient safety. Qual Saf Health Care 2005; 14(2), 130-134.
Chen JR, Yang YT. A predictive risk index for safety performance in process industries. J Loss Prevent Proc 2004; 17(3), 233-242.
Moharam-Nejad N, Setareh H, Eshlaghi AT. Application of a multi-criteria decision-making model in selecting optimized airborne iodine absorbent released from nuclear power plants and installations in Iran. Feyz 2012; 16(5), 461-467.
Lund J, Aaro LE. Accident prevention. Presentation of a model placing emphasis on human, structural and cultural factors. Safety Sci 2004; 42(4), 271-324.
Salmon PM, Cornelissen M, Trotter MJ. Systems-based accident analysis methods: A comparison of Accimap, HFACS, and STAMP. Safety Sci 2012; 50(4), 1158-1170
|Issue||Vol 7 No 1 (2015)|
|Accident Safety Manufacturing TOPSIS|
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