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A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS

机译:基于模糊TOPSIS的企业精益绩效比较评估框架

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摘要

Adoption of lean practices is considered a vital strategic tool for firms to thrive in today's competitive times. Comparative evaluation of leanness of the companies has assumed crucial importance in the wake of increasing globalisation and phenomenal advancement in technology.Evaluation of policies and practices on an ongoing basis helps organisations identify the potential opportunities for improvement. Only limited efforts devoted to assessing the relative lean status of firms have been made so far and there is an express need to articulate a framework for measurement of lean adaptation. Here, a systematic fuzzy multi-criteria decision making (MCDM) evaluation model based on technique for order preference by similarity to ideal solution (TOPSIS) is proposed for relative lean ranking of firms. Fuzzy set theory concepts are used to deal with problems of vagueness, uncertainties, inexactness of data and the subjectivity associated with human judgment. An illustrative numerical example is included to elucidate the computational process. Sensitivity analysis is also carried out to demonstrate the robustness and efficacy of the adapted methodology.
机译:采用精益实践被认为是公司在当今竞争激烈的时代蓬勃发展的重要战略工具。随着全球化程度的提高和技术的飞速发展,对公司的精益度进行的比较评估已变得至关重要。持续进行政策和实践的评估有助于组织识别潜在的改进机会。迄今为止,仅做出了有限的努力来评估企业的相对精益状态,并且明确需要阐明一种衡量精益适应性的框架。在此,针对企业的相对精益排名,提出了一种基于与理想解决方案相似度的订单偏好技术的系统模糊多准则决策(MCDM)评价模型。模糊集理论概念用于处理模糊性,不确定性,数据不准确以及与人类判断相关的主观性的问题。包括说明性的数值示例以阐明计算过程。还进行了敏感性分析,以证明适应性方法的鲁棒性和有效性。

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