4.7 Article

A multicriteria knapsack approach to economic optimization of industrial safety measures

期刊

SAFETY SCIENCE
卷 51, 期 1, 页码 354-360

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ssci.2012.08.002

关键词

Risk reduction; Safety measures selection; Cost minimization; Cost-benefits analysis; Mathematical programming; Knapsack model

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The selection of safety measures to be applied in an industrial plant to reduce risk to an acceptable level is a critical task for safety engineers. However, to select a portfolio of safety measures is quite hard as a number of different hazards have to be counteracted simultaneously and a wide range of preventive or protective measures can be chosen, including either technical, administrative and managerial actions, within the constraints of a given budget. In this paper a multi-criteria knapsack model is described to help safety analysts in selecting the most cost-effective safety measures to be adopted. The problem is formulated as that of maximizing the utility of the portfolio of safety measures subject to a number of constraints including a maximum allowable budget. In the paper at first the problem formulation is given as a knapsack model, then the approach to compute the utility level of a given portfolio of safety measure is described utilizing a multi-criteria method. Finally, an application example is presented and the advantages and disadvantages of the method are discussed. (c) 2012 Elsevier Ltd. All rights reserved.

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