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Investigating the effectiveness of safety costs on productivity and quality enhancement by means of a quantitative approach

机译:通过定量方法调查安全成本对生产力和质量增强的有效性

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摘要

Senior managers face a number of challenges in safety area, e.g., to what extent it should be invested in safety programs. This study aims at determining the effectiveness of safety cost factors in productivity, quality, and safety performance in steel industry. The data related to five steel companies were gathered from documents of the companies. These data pertained to five safety cost indicators and eight indices relating to safety performance, productivity, and quality. Data envelopment analysis (DEA) approach was used to compute the influence of safety costs and to analyze the obtained results. The results of DEA demonstrated that safety cost indicators would positively affect the performance of decision-making units (DMUs) in this study. Furthermore, the results regarding sensitivity analysis indicates that Capita Total Safety Costs (CTSC) plays a considerable role in the enhancement of productivity and quality in this particular case study. To the best of the researchers' knowledge, this is the first study that evaluates the influence of safety cost indicators on productivity, quality, and safety performance through a quantitative method in steel industry. Therefore, it can assist managers and stockholders invest purposefully in safety and health programs to reduce interruptions and increase productivity.
机译:高级管理人员在安全地面面临着许多挑战,例如,应在多大程度上投入安全计划。本研究旨在确定钢铁行业生产力,质量和安全性能方面的安全成本因素的有效性。与五钢公司相关的数据收集了公司文件。这些数据有五个安全成本指标和与安全性能,生产率和质量有关的八个指标。数据包络分析(DEA)方法用于计算安全成本的影响,并分析所获得的结果。 DEA的结果表明,安全成本指标将积极影响本研究中决策单位(DMUS)的表现。此外,关于灵敏度分析的结果表明,在这种特殊案例研究中,人均总安全成本(CTSC)在提高生产力和质量方面发挥了相当大的作用。据研究人员的知识,这是通过钢铁工业的定量方法来评估安全成本指标对生产力,质量和安全性能的影响。因此,它可以协助经理,股东在安全和健康方案中有目的地投入,以减少中断并提高生产力。

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