Bayesian modelling of a quality accreditation network. (1st January 2014)

• Record Type: Journal Article
• Authors: Elsmuai, Tarek; McCollin, Chris
• Is Part Of: International journal of quality engineering and technology. Volume 4:Number 3(2014)
• Page Start: 181
• Page End: 199
• Publication Date: 2014-01-01
• Subjects: accreditation -- laboratory accreditation -- national accreditation body -- NAB -- Bayesian network -- developing countries; Engineering -- Quality control -- Periodicals; Systems engineering -- Periodicals; 620.0045
• Languages: English
• ISSNs: 1757-2177

Abstract

Accreditation of laboratories has been a subject of considerable interest because product quality guarantee has become one of the prime factors to be considered at this present time of highly competitive industrial activity. Laboratories in the developing countries need to establish a new strategy on accreditation to be able to demonstrate the capability to compete internationally taking account of the difficulties, barriers, confidence and international acceptance. This paper intends to investigate the factors that lead to establishing a sustainable national accreditation body (NAB) and examine employees and management's attitudes and perceptions toward the development of a sustainable NAB in accordance with ISO/IEC 17011. The analysis has led to development of the main important factors that are directly affecting accreditation programmes in the developing countries. The Bayesian analyses have identified the main drivers of an accreditation model. The outcomes of the analyses are satisfactory because they correspond with the results of the theoretical framework.