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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Design and implementation of an integrated Taguchi method for continuous assessment and improvement of manufacturing systems
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Design and implementation of an integrated Taguchi method for continuous assessment and improvement of manufacturing systems

机译：集成Taguchi方法的设计和实现，用于持续评估和改进制造系统

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摘要

The aim of this paper is to propose an integrated modeling framework that would help manufacturing managers for assessment, ranking, and analysis of the manufacturing systems. The proposed framework is based on Taguchi method that ranks and analyzes the manufacturing sectors by consolidating a set of management and organization productivity indicators. Sixty-one indicators were identified and classified in five categories, namely (1) financial, (2) customer satisfaction, (3) process innovation, (4) production process, and (5) organizational learning and growth. The mentioned indicators are related to organizational and managerial productivity and efficiency. Next, a test problem and a random sample of 12 indicators have been carried out for the two-digit International Standard Industrial Classification sectors of manufacturing systems. Principal component analysis (PCA), numerical taxonomy, and clustering analysis approach have been used to demonstrate and validate the results of the integrated Taguchi method. Also, Spearman and Kendall tau correlation experiments should show high level of correlation between the findings of Taguchi, PCA, and taxonomy. In addition, normality test has been applied to show the superiority of integrated method over previous approaches. The proposed method has been provided with respect to management and organizational performance indicators to decide the best actions for continuous improvement. The results indicated that the structure and modeling approach of this paper could be easily utilized for managerial and organizational ranking and analysis of other sectors.
机译：本文的目的是提出一个集成的建模框架，该框架将帮助制造经理评估，排名和分析制造系统。提出的框架基于Taguchi方法，该方法通过合并一组管理和组织生产率指标对制造业进行排名和分析。确定了61个指标并将其分为五个类别，即（1）财务，（2）客户满意度，（3）流程创新，（4）生产流程以及（5）组织学习和成长。所提到的指标与组织和管理的生产率和效率有关。接下来，针对制造系统的两位数国际标准工业分类部门，进行了测试问题和12个指标的随机抽样。主成分分析（PCA），数值分类法和聚类分析方法已被用来证明和验证综合田口方法的结果。而且，Spearman和Kendall tau的相关性实验应该显示田口，PCA和分类法的发现之间的高度相关性。此外，已使用正态性测试来显示集成方法相对于先前方法的优越性。已针对管理和组织绩效指标提供了所建议的方法，以确定持续改进的最佳措施。结果表明，本文的结构和建模方法可以轻松地用于管理和组织排名以及其他部门的分析。

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