An Expert System for Auditing Quality Management Systems in Construction

被引:23
|
作者
Lee, Dong-Eun [2 ]
Lim, Tae-Kyung [2 ]
Arditi, David [1 ]
机构
[1] IIT, Dept Civil & Architecture Engn, Chicago, IL 60616 USA
[2] Kyungpook Natl Univ, Sch Architecture & Civil Engn, Taegu, South Korea
基金
新加坡国家研究基金会;
关键词
NEURAL DYNAMICS MODEL; WORK ZONE CAPACITY; FUZZY-LOGIC MODEL; COST OPTIMIZATION; NETWORK MODEL; TIME; DESIGN; PERFORMANCE; PREDICTION; FRAMEWORK;
D O I
10.1111/j.1467-8667.2011.00721.x
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This article introduces a system called Construction Quality Management Audit (CQMA) Expert that assesses the performance of a quality management system (QMS) implemented in a construction firm. CQMA Expert is programmed by using MATLAB's GUI components and its Fuzzy Logic Toolbox. CQMA Expert's rule base is constructed using information obtained from auditors of QMSs. CQMA Expert imports the quality requirements relative to the many quality management processes specified in ISO 9000, processes audit inputs, and generates consistent decisions relative to conformance to standards. It provides an interactive user interface for recording evidence collected during the audit and clearly states the reasons for the conclusions. It contributes to continuous quality improvement because (1) it enhances the maintenance of a QMS by quantifying its performance, (2) it assists with and facilitates the implementation of the duties of auditors in charge of assessing the performance of a QMS, (3) it simplifies the burdensome process involved in keeping track of the audit results of the many quality management processes investigated, and (4) it reduces the impact of the variability caused by the use of different auditors assessing different quality management processes. Case studies based on Section 4.11 of the ISO 9000 standard entitled "Control of inspection, measuring and test equipment" are used to illustrate the system and verify its usability and validity.
引用
收藏
页码:612 / 631
页数:20
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