A fuzzy AHP methodology for selection of risk assessment methods in occupational safety

In modern times daily occupational accidents cause an ever increasing number of pecuniary loss claims as well as intangible damage within small and medium sized enterprises (SMEs) worldwide. To counter this problem, most enterprises commonly apply risk assessment methods (RAMs) to promote occupational safety (OS). As there are plenty of different methods in this area, an effective and careful approach is required to select the most appropriate RAM for enterprises in general. This paper provides a fuzzy analytic hierarchy process (AHP) methodology for selecting the best RAM in OS operations for SMEs. As a test case study, a Turkish woven-printed-carton labelling company was chosen to carry out this study application under four separate decision criteria namely: scope, practicality, cost and sensitivity. On conclusion, it was deduced that the decision making approach can benefit company management in selecting the right method for OS operations.

[1]  Alev Taskin Gumus,et al.  Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..

[2]  Yi-Hsuan Chen,et al.  A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard , 2009, Expert Syst. Appl..

[3]  Hing Kai Chan,et al.  Fuzzy Extent Analysis for Food Risk Assessment , 2013 .

[4]  Francisco Rodrigues Lima Junior,et al.  A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection , 2014, Appl. Soft Comput..

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

[6]  Erik Hollnagel,et al.  HUMAN RELIABILITY ASSESSMENT IN CONTEXT , 2005 .

[7]  I. Mohammadfam,et al.  Application of Hazard and Operability Study (HAZOP) in Evaluation of Health, Safety and Environmental (HSE) Hazards , 2012 .

[8]  Miley W. Merkhofer,et al.  Risk Assessment Methods: Approaches for Assessing Health and Environmental Risks , 1993 .

[9]  Cengiz Kahraman,et al.  Fuzzy Analytic Hierarchy Process and its Application , 2008 .

[10]  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 .

[11]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

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

[13]  Ying Wang,et al.  Selecting a cruise port of call location using the fuzzy-AHP method: A case study in East Asia , 2014 .

[14]  Metin Celik,et al.  Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry , 2009, Expert Syst. Appl..

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

[16]  Abel Pinto,et al.  Risk Assessment in Construction Industry ? Overview and Reflection , 2011 .

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

[18]  Irfan Ertugrul,et al.  Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods , 2009, Expert Syst. Appl..

[19]  Seyed Bagher Hosseini,et al.  Risk assessment model selection in construction industry , 2011, Expert Syst. Appl..

[20]  İhsan Yüksel,et al.  A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system , 2008 .

[21]  Faisal Khan,et al.  Mathematical model for HAZOP study time estimation , 1997 .

[22]  Stephen O. Ogunlana,et al.  Selection and application of risk management tools and techniques for build-operate-transfer projects , 2004, Ind. Manag. Data Syst..

[23]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[24]  Ksenija Mandic,et al.  Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods , 2014 .