Developing a new alternative risk assessment framework in the work sites by including a stochastic and a deterministic process: A case study for the Greek Public Electric Power Provider |
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Authors: | PK Marhavilas DE Koulouriotis |
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Institution: | a Lab. of Electromagnetism, Dept. of Electrical & Computer Engineering, Democritus Univ. of Thrace, Vas. Sofias 12 St., 67100 Xanthi, Greece b Dept. of Production & Management Engineering, Democritus Univ. of Thrace, Vas. Sofias 12 St., 67100 Xanthi, Greece |
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Abstract: | An individual method cannot achieve the optimum risk-assessment result in the worksites, and future perspectives should focus on the parallel application of a deterministic approach with a stochastic approach. In particular, the risk analysis and assessment techniques of the deterministic (DET) approach are classified into three main categories: (a) the qualitative, (b) the quantitative, and (c) the hybrid techniques (qualitative-quantitative, semi-quantitative). Furthermore, the stochastic (STO) approach includes the classic statistical approach (CSA) and the accident forecasting modeling (AFM). The objective of this paper is triple: (a) the presentation and classification of the main risk analysis and risk assessment methods and techniques of the deterministic approach and the stochastic approach as well, (b) the development and presentation of a new alternative risk assessment framework (called as STODET) including a stochastic and a deterministic process, and (c) the application of STODET in the Greek Public Power Corporation (PPC) by using occupational accidents that have been recorded, during the 17-year period of 1993-2009. In particular, the STODET application proves that required actions (or suppressive measures) are essential and must be taken in a medium-term period (1 working year) for abolishing the hazard sources. |
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Keywords: | Risk management Risk analysis Risk assessment Risk estimation Quantified risk evaluation Occupational accidents Quantitative risk assessment techniques Qualitative techniques Hybrid techniques Deterministic approach Stochastic approach Classic statistical approach Accident forecasting models |
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