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首页> 外文期刊>WSEAS Transactions on Business and Economics >Evaluation of worker productivity improvement criteria using interpretive structural modeling and Fuzzy Analytic Hierarchy Process
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Evaluation of worker productivity improvement criteria using interpretive structural modeling and Fuzzy Analytic Hierarchy Process

机译:使用解释性结构建模和模糊层次分析法评估工人生产率提高标准

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摘要

In recent years, many printed circuit board (PCB) manufacturing firms have looked upon worker productivity improvement as the means by which they could improve their firm performance. This paper uses the critical factors and interpretive structural modeling (ISM) that determine the structure of analytical hierarchical process model in fuzzy environment. Fuzzy analytic hierarchy process (FAHP) based methodology be discussed to tackle the different decision criteria in a hierarchical structure in the improvement of worker productivity. The findings advocate that these manufacturing firms would thereby the hierarchical model to setup the priorities of the worker productivity improvement. The result finds that the best practice is most critical factor to overall objective.
机译:近年来,许多印刷电路板(PCB)制造公司已将提高工人生产率作为提高公司绩效的手段。本文使用决定模糊环境中分析层次过程模型结构的关键因素和解释性结构建模(ISM)。讨论了基于模糊层次分析法(FAHP)的方法,以解决提高工人生产率的层次结构中的不同决策标准。研究结果表明,这些制造企业将因此采用分层模型来设置提高工人生产率的优先级。结果发现,最佳实践是实现总体目标的最关键因素。

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