基于公共部门管理质量奖(PMQA)模型的公共公路建设组织质量管理绩效评价

T. Thipparat
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引用次数: 0

摘要

本文介绍了自适应神经模糊推理系统(ANFIS)的应用,利用Sugeno ANFIS来衡量泰国公共公路建设组织的质量管理绩效。与公共部门管理质量奖(PMQA)标准相关的属性分别被视为主模型和子模型的输入和输出变量。因变量为质量管理绩效。泰国公路部(DOH)的公路项目被用作本研究的数据来源。研究结果可用于提高组织质量和实现高绩效组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Quality Management Performance in Public Highway Construction Organization Using Public Sector Management Quality Award (PMQA) Model
This paper presents the application of adaptive neuro-fuzzy inference systems (ANFIS), using Sugeno ANFIS to measure the quality management performance of public highway construction organization in Thailand. Attributes associated with Public Sector Management Quality Award (PMQA) criteria are considered as the input and output variables for the main-model and sub-models, respectively. The dependent variable is the quality management performance. Highway projects for the Thailand Department of Highway (DOH) have been used as data sources for this study. The result can be used to improve its quality as well as to achieve high performance organization.
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