USING BAYESIAN NETWORKS (BNS) APPROACH TO ANALYZE THE COST OF QUALITY (COQ) PARAMETERS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHODAKARAMI VAHID; HAGHI FARSHAD; AMIRI SOMAYEH; AGHABABAEI SALMAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download Full-Text

Persian Verion

View:

2,051

Download:

Cites:

Information Journal Paper

Title

USING BAYESIAN NETWORKS (BNS) APPROACH TO ANALYZE THE COST OF QUALITY (COQ) PARAMETERS

Author(s)

KHODAKARAMI VAHID | HAGHI FARSHAD | AMIRI SOMAYEH | AGHABABAEI SALMAN | Issue Writer Certificate

Keywords

COST OF QUALITYQ2

BAYESIAN NETWORKSQ2

PAF MODELQ2

CASUAL RELATIONSHIPQ2

Abstract

COST OF QUALITY (COQ) is an essential element of Total Quality Management (TQM) system. The accurate assessment of such COST OF QUALITY can materially affect the reliability of quality-oriented, results-based improvements. The prevention-appraisal-failure (PAF) model is the most widely used model for determining the COST OF QUALITY. Any attempt to assess the COST OF QUALITY should take the different COST OF QUALITY parameters into consideration. However, the PAF MODEL does not take the uncertainty of COQ parameters into consideration. Moreover, the CASUAL RELATIONSHIPs among these parameters and environmental and qualitative factors are disregarded. The main objective of this paper is to incorporate PAF approach into BAYESIAN NETWORKS (BNs) and establish a probabilistic model for assessment of quality costs. BNs provide a framework for presenting inherent uncertainties and probabilistic inference among a set of variables. In this study, first, a qualitative model is developed to prioritizing PAF groups. Then, a quantitative framework is presented to numerical analysis of COQ parameters and important qualitative factors in selected PAF group. The capabilities of proposed approach are explained using data collected in chemical products manufacturing companies a case study.

Cites

No record.

References

No record.

Cite

APA: Copy

KHODAKARAMI, VAHID, HAGHI, FARSHAD, AMIRI, SOMAYEH, & AGHABABAEI, SALMAN. (2014). USING BAYESIAN NETWORKS (BNS) APPROACH TO ANALYZE THE COST OF QUALITY (COQ) PARAMETERS. JOURNAL OF INDUSTRIAL MANAGEMENT, 9(SPECIAL ISSUE ON MANAGEMENT AND ACCOUNTING), 113-128. SID. https://sid.ir/paper/171116/en

Vancouver: Copy

KHODAKARAMI VAHID, HAGHI FARSHAD, AMIRI SOMAYEH, AGHABABAEI SALMAN. USING BAYESIAN NETWORKS (BNS) APPROACH TO ANALYZE THE COST OF QUALITY (COQ) PARAMETERS. JOURNAL OF INDUSTRIAL MANAGEMENT[Internet]. 2014;9(SPECIAL ISSUE ON MANAGEMENT AND ACCOUNTING):113-128. Available from: https://sid.ir/paper/171116/en

IEEE: Copy

VAHID KHODAKARAMI, FARSHAD HAGHI, SOMAYEH AMIRI, and SALMAN AGHABABAEI, “USING BAYESIAN NETWORKS (BNS) APPROACH TO ANALYZE THE COST OF QUALITY (COQ) PARAMETERS,” JOURNAL OF INDUSTRIAL MANAGEMENT, vol. 9, no. SPECIAL ISSUE ON MANAGEMENT AND ACCOUNTING, pp. 113–128, 2014, [Online]. Available: https://sid.ir/paper/171116/en

Related Journal Papers