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Measuring the influence values of lean criteria on leanness
Journal of Manufacturing Technology Management ( IF 7.6 ) Pub Date : 2020-06-30 , DOI: 10.1108/jmtm-09-2019-0321
Esra Kurt Tekez , Gökhan Taşdeviren

Purpose

The purpose of this paper is to evaluate the impact of lean criteria on leanness as well as prioritize them, taking the relationships between dimensions into consideration for manufacturing enterprises.

Design/methodology/approach

This study considers leanness over quality, cost, delivery and innovation (QCDI) performance dimensions. Twenty eight criteria related with these dimensions were determined that are focused on manufacturing organizations and then fuzzy analytic network process (ANP) approach was used to determine the influence value of each criterion on leanness.

Findings

The existing literature shows a lack of studies on systematically measuring the impact of lean criteria on leanness. To fill the gap, this paper presents a fuzzy ANP approach. Firstly interactions between the performance dimensions were configured. Then, according to the relationship, weights were obtained while taking the network structure that allows dynamic multidirectional relationships for interdependencies among performance dimensions into consideration. This provides a more accurate approach for determining the impact value on leanness performance in real-life decision-making environments.

Research limitations/implications

The limitation of this study is that only manufacturing enterprises have been considered. Different criteria may need to be developed for service organizations.

Practical implications

This study gives a real insight to lean practitioners in the manufacturing system. Due to the fact it is difficult to achieve all the criteria at the same time for a company, this study is significant for manufacturers, indicating which criteria should primarily be focused on in order to achieve leanness.

Originality/value

Applying fuzzy ANP on interrelated QCDI performance dimensions to evaluate the impact of lean criteria on leanness is the novelty of this study in the related literature. The fuzzy ANP approach is thought to be a more suitable approach to obtain more realistic and accurate results with the power to cope with ambiguity. This study provides a systematic measurement of the influence of lean criteria, also considering interdependencies between performance dimensions. Another contribution of this study is adding innovation to the performance dimensions that are commonly known as quality, cost and delivery to assess leanness in a comprehensive manner.



中文翻译:

测量精益标准对精益度的影响值

目的

本文的目的是评估精益标准对精益的影响并对其进行优先级排序,同时考虑到制造企业的尺寸之间的关系。

设计/方法/方法

本研究考虑了质量,成本,交付和创新(QCDI)性能方面的精益程度。确定了与这些维度相关的二十八个标准,这些标准主要针对制造组织,然后使用模糊分析网络过程(ANP)方法确定每个标准对精益度的影响值。

发现

现有文献表明缺乏系统地测量精益标准对精益的影响的研究。为了填补空白,本文提出了一种模糊ANP方法。首先,配置绩效维度之间的交互。然后,根据该关系,在考虑允许动态多方向关系以实现性能维度之间相互依赖关系的网络结构的同时,获得权重。这提供了一种更精确的方法来确定现实决策环境中对瘦肉性能的影响值。

研究局限/意义

该研究的局限在于仅考虑了制造企业。服务组织可能需要制定不同的标准。

实际影响

这项研究为制造系统中的精益实践者提供了真正的见识。由于一家公司很难同时达到所有标准,因此这项研究对制造商而言意义重大,表明为了实现精益,应该首先关注哪些标准。

创意/价值

在相关的QCDI性能维度上应用模糊ANP来评估精益标准对精益的影响是相关文献中这项研究的新颖之处。模糊ANP方法被认为是一种更合适的方法,能够获得更真实,更准确的结果,并且能够应对歧义。这项研究提供了对精益标准影响的系统衡量,同时也考虑了绩效维度之间的相互依赖性。这项研究的另一个贡献是在性能维度上增加了创新,这些维度通常被称为质量,成本和交付,以全面评估瘦度。

更新日期:2020-07-20
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