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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance
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Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance

机译:模糊决策树和Topsis方法的工作场所评估,以管理职业安全和健康绩效

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摘要

Food manufacturing industries have poor occupational safety and health (OSH) performance in many countries. The situation in Saudi Arabia is unknown due to absence of previous studies on the OSH performance of food industry. The current revised Labor Law is expected to dramatically increase workplace inspections by governmental inspectors. Therefore, both the industry and the OSH inspection authority needs to develop an effective decision making approach for improving the performance of companies. The objective of this study is to use quantitative and qualitative data for the assessment of OSH performance and develop a more reliable assessment approach. For the evaluation of OSH performance of food companies, a set of main and sub-criteria were determined. The quantitative assessments were carried out in accordance with national compliance requirements using a 5-point Likert scale approach. For the qualitative assessment, fuzzy linguistic terms were employed to measure the degree of satisfaction of main and sub-criteria. Two methods; the fuzzy decision tree approach and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) were used for the evaluation and the competitiveness of companies. The fuzzy decision tree approach was used for criteria weight determination, however, the fuzzy TOPSIS approach revealed the best practices regarding OSH for benchmarking, and governmental authorities for managing the regulatory inspections conducted to follow up compliances. Hence, the presented approach was used to rank 21 food enterprises, and it was found that company (x(7)) is the best in all criteria. The key difference between this company and the other companies is that it showed consistent performance in all criteria, while in the others were found in performance fluctuations and deficiency in some sub-criteria. On the other hand, the quantitative assessment showed that most companies with good score are technically good which indicates that the technologies used are fairly up-to-date which generate less occupational hazards. This leads to the conclusion that the OSH problems in the Saudi food industries are mainly due to managerial deficiencies rather than being financial. The ranking can be used by the food industries for also benchmarking their performance within the context of the food industry sector. The overall aim is to identify the best industrial practices and identify the priorities to help the official bodies for a more effective inspection.
机译:食品制造业在许多国家的职业安全和健康(OSH)表现差。由于缺乏对食品行业的职务安全性绩效的研究,沙特阿拉伯的情况未知。预计目前修订的劳务法将通过政府检查员大大提高工作场所检查。因此,行业和OSH检验机构都需要制定有效的决策方法,以提高公司绩效。本研究的目的是利用定量和定性数据来评估OSH绩效并开发更可靠的评估方法。为评估食品公司的职业安全性绩效,确定了一组主要和副标准。定量评估根据国家合规性要求进行,使用5点李克特规模方法进行。对于定性评估,采用模糊语言术语来衡量主要和子标准的满意度。两种方法;通过相似性与理想解决方案(TOPSIS)相似性的模糊决策树方法和模糊技术用于评估和公司的竞争力。模糊决策树方法用于标准重量确定,然而,模糊的Topsis方法揭示了关于职业安全部门的最佳实践,以及管理监管检查进行跟进符合要求的监管检查。因此,呈现的方法被用来对21家食品企业进行排名,并发现公司(X(7))是所有标准中最好的。本公司与其他公司之间的关键差异是,它在所有标准中表现出一致的性能,而其他公司则在某些子标准中的性能波动和缺陷中被发现。另一方面,定量评估表明,大多数具有良好得分的公司都在技术上是良好的,这表明所用的技术相当最新,产生较少的职业危险。这导致得出的结论是沙特食品工业中的职业家问题主要是由于管理缺陷而不是财务。食品工业可以使用排名,用于在食品工业部门的背景下基准。整体目标是确定最佳的工业实践,并确定帮助官方机构更有效检查的优先事项。

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