A fuzzy AHP methodology for selection of risk assessment methods in occupational safety
| Autor: | Senim Ozgurler, Muhammet Gul, Ali Fuat Guneri |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Scope (project management) business.industry Analytic hierarchy process Management Science and Operations Research Multiple-criteria decision analysis Occupational safety and health Test (assessment) Risk analysis (engineering) Operations management Statistics Probability and Uncertainty Business and International Management Risk assessment business Fuzzy ahp Selection (genetic algorithm) |
| Zdroj: | International Journal of Risk Assessment and Management. 18:319 |
| ISSN: | 1741-5241 1466-8297 |
| DOI: | 10.1504/ijram.2015.071222 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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