A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation

Abstract The most crucial step of a risk assessment process that follows identifying the scope of assessment and hazards is the initial risk assessment, particularly with a risk scoring system. The Fine–Kinney method is a comprehensive method for quantitative evaluations to aid in controlling hazards. In this risk assessment method, the risk value is calculated by considering the parameters of the consequence of an accident ( C ), the exposure or frequency of occurrence of a hazard event that could lead to an accident ( E ) and the probability of a hazardous event ( P ). The classical Fine–Kinney method has a limitation in that it assigns an equal weight to these three parameters. Therefore, we propose a new risk assessment method incorporating a fuzzy analytic hierarchy process (FAHP) with fuzzy VIKOR (FVIKOR). FAHP was used in weighting these risk parameters derived from the Fine–Kinney method. The priority orders of hazards were determined by a FVIKOR method. The proposed method enables group decision-making in assessing hazards and uses relative importance among three risk parameters by pair-wise comparison of Buckley's FAHP. Owing to the difficulty in evaluating C , E and P , linguistic terms are used in the proposed method. In addition, a case study of the evaluation of risks in the arms industry is used to illustrate the proposed method. A comparison with the classical method and fuzzy technique for order preference by similarity of an ideal solution (FTOPSIS) is discussed. The results show that the proposed method is effective in helping stakeholders to determine the risk control policies to validate the effectiveness of their risk controls.

[1]  Ali Kokangül,et al.  A new approximation for risk assessment using the AHP and Fine Kinney methodologies , 2017 .

[2]  Erkan Celik,et al.  A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers , 2015 .

[3]  Behnam Vahdani,et al.  A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process , 2014, The International Journal of Advanced Manufacturing Technology.

[4]  Muhammet Gulź,et al.  A state of the art literature review of VIKOR and its fuzzy extensions on applications , 2016 .

[5]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[6]  Chia-Wei Hsu,et al.  Risk evaluation of green components to hazardous substance using FMEA and FAHP , 2009, Expert Syst. Appl..

[7]  Erkan Celik,et al.  Application of AHP and VIKOR Methods under Interval Type 2 Fuzzy Environment in Maritime Transportation , 2017 .

[8]  Rita Gamberini,et al.  A fuzzy multi-attribute model for risk evaluation in workplaces. , 2009 .

[9]  Charif Mabrouki,et al.  A Multi-Criteria Approach for Risk Assessment of Dry Port-Seaport System , 2015 .

[10]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[11]  Adel Hatami-Marbini,et al.  A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities , 2013 .

[12]  Ali Fuat Guneri,et al.  Occupational health and safety risk assessment in hospitals: A case study using two-stage fuzzy multi-criteria approach , 2017 .

[13]  Gilles Dusserre,et al.  Review of 62 risk analysis methodologies of industrial plants , 2002 .

[14]  Ali Fuat Guneri,et al.  A fuzzy AHP methodology for selection of risk assessment methods in occupational safety , 2015 .

[15]  Jin Wang,et al.  An integrated fuzzy risk assessment for seaport operations , 2014 .

[16]  Muhammet Gul,et al.  A fuzzy multi criteria risk assessment based on decision matrix technique: A case study for aluminum industry , 2016 .

[17]  Senem Bilir,et al.  Activity based risk assessment and safety cost estimation for residential building construction projects , 2015 .

[18]  Hakan Akyildiz,et al.  A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey , 2015 .

[19]  Omidvar Mohsen,et al.  An extended VIKOR method based on entropy measure for the failure modes risk assessment – A case study of the geothermal power plant (GPP) , 2017 .

[20]  Anjali Awasthi,et al.  Green supplier development program selection using NGT and VIKOR under fuzzy environment , 2016, Comput. Ind. Eng..

[21]  G. F. Kinney,et al.  Practical Risk Analysis for Safety Management , 1976 .

[22]  Ming Yang,et al.  Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process , 2011 .

[23]  S. Meysam Mousavi,et al.  Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model , 2010, Expert Syst. Appl..

[24]  P. K. Marhavilas,et al.  Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009 , 2011 .

[25]  Saurav Datta,et al.  Analysis of occupational health hazards and associated risks in fuzzy environment: a case research in an Indian underground coal mine , 2017, International journal of injury control and safety promotion.

[26]  Akbar Esfahanipour,et al.  Human health and safety risks management in underground coal mines using fuzzy TOPSIS. , 2014, The Science of the total environment.

[27]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[28]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[29]  Danijela Tadic,et al.  A new fuzzy model for determining risk level on the workplaces in manufacturing small and medium enterprises , 2015 .