文章基本信息

标题：Evaluating and prioritizing of performance indicators of health, safety, and environment using fuzzy TOPSIS
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作者：Shima Sadoughi ; Rasoul Yarahmadi ; Mohammad Hossein Taghdisi 等
期刊名称：African Journal of Business Management
印刷版ISSN：1993-8233
出版年度：2012
卷号：6
期号：5
页码：2026-2033
DOI：10.5897/AJBM11.1701
语种：English
出版社：Academic Journals
摘要：Nowadays, paying attention to health management, safety, and environment systems and their subdivisions in organizations has been increased. Misusing of suitable indicators for supervision, assessment, and improvement of these systems leads to poor organization’s performance, shortage in knowledge growth, organization abilities, and lack of understanding in periodic evaluation of organization’s improvement plans. Although, much literature review has been done on indicators related to health, safety, and environment (HSE), a few studies have been done on prioritizing of performance indicators of HSE and presenting a structured method for correction of present mismatches in successful and effective implementation. This paper aims to present a comprehensive approach for decision makers to evaluate and prioritize HSE’s indicators using technique for order performance by similarity to ideal solution (TOSIS) as one of the most powerful and practical tools in multi criteria decision making (MCDM) problems in the fuzzy environment. Considered indicators for prioritizing of performance indicators of HSE include specific, measurable, attainable, realistic, time-sensitive (SMART) indicators. Results show that number of held HSE committees, HSE training, number of HSE studies, check attempts indicators, and average of cost per damage have the first to fifth rank in the field of performance selective indicators. This research helps managers and decision makers in HSE to determine and rank the performance indicators of HSE in the organization and finally design an appropriate and practical plan for continuous improvement.
关键词：Performance indicator; health; safety and environment; technique for order performance by similarity to ideal solution (TOPSIS); fuzzy