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首页> 外文期刊>International Journal of Industrial Ergonomics >Performance optimization of integrated job-driven and resilience factors by means of a quantitative approach
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Performance optimization of integrated job-driven and resilience factors by means of a quantitative approach

机译：通过定量方法进行综合作业驱动和弹性因素的性能优化

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Job-driven factors affect overall productivity and describe the characteristics influencing human performance. Resilience engineering (RE) is the capability of systems and groups to cope with disturbances and disruptions to enhance their performance. This study employs data envelopment analysis (DEA) approach to optimize the overall performance of a ceramic tile company by considering resilience and job-driven factors. The required data were collected via a standard questionnaire whose reliability was examined by statistical methods. In this regard, sensitivity analysis was performed to determine the most important factors. DEA results showed that job stress, job burnout, and management commitment play a central role in the investigated system. The overall results indicated that job-driven factors have a higher weight than resilience factors. This is one of the first studies that concurrently examine job-driven and resilience factors. Second, the present study uses DEA method in a ceramic tile manufacturer to achieve optimum performance. Third, the weights of all factors are computed for optimum redesign and re-engineering. Fourth, decision-makers may identify weak areas and strong points of their systems with respect to job-driven and resilience factors.
机译：作业驱动的因素影响整体生产率，并描述了影响人类性能的特征。弹性工程（RE）是系统和群体应对骚乱和中断的能力，以提高其性能。本研究采用数据包络分析（DEA）方法通过考虑弹性和工作驱动因素来优化陶瓷瓷砖公司的整体性能。通过标准调查问卷收集所需数据，其可靠性通过统计方法检验。在这方面，进行敏感性分析以确定最重要的因素。 DEA结果表明，工作压力，职业倦怠和管理承诺在调查系统中发挥着核心作用。总体结果表明，工作驱动因素的重量比弹性因素更高。这是第一次研究的第一项研究之一，同时检查作业驱动和弹性因素。其次，本研究在陶瓷瓷砖制造商中使用DEA方法来实现最佳性能。第三，计算所有因素的重量，以获得最佳的重新设计和重新设计。第四，决策者可以识别与作业驱动和恢复性因素相比其系统的弱点和强烈的点。

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