Journal of Statistical Theory and Applications

Volume 17, Issue 3, September 2018, Pages 572 - 586

Modeling Pinhole Phenomenon in Sanitary Porcelains Case Study: Isatis Sanitary Porcelain Plant, Yazd, Iran

Authors
H. Bazargan1, bazargan@uk.ac.ir
Department of Industrial Engineering Shahid Bahonar University of Kerman, Kerman, Iran
A. Dehghanzadehatefeh_dehghanzadeh_ie83@yahoo.com
Rayvarz-Kavir Sofware Engineering Co. Yazd, Iran
1Corresponding author.
Corresponding Author
Received 27 June 2016, Accepted 24 February 2018, Available Online 30 September 2018.
DOI
10.2991/jsta.2018.17.3.11How to use a DOI?
Keywords
sanitary porcelain; pinhole; artificial neural networks; regression; correlation coefficient
Abstract

Sanitary porcelain products might have several defects, causing potential high-grade desirable products be converted into low-grade ones. Some of the defects are such that a few of them in the products will result in a great fall of product rating and consequently reduction of its value and price. Among these defects is a defect called pinhole. In this article, it has been tried to identify, from a list of factors, the most influential factors of the production process which cause the pinhole defect affecting the product rating. It then tries to present a prediction model for the number of pinholes. For this purpose, initially seven factors were chosen to help presenting a suitable prediction model and several statistical tools and artificial intelligence prediction tools were investigated to present a suitable prediction model. The presented model could be used by the company to enhance the product rating through choosing right value for the right factors causing the pinhole defect and to decrease the wastes and the expenditures.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

Journal
Journal of Statistical Theory and Applications
Volume-Issue
17 - 3
Pages
572 - 586
Publication Date
2018/09/30
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2018.17.3.11How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - H. Bazargan
AU  - A. Dehghanzadeh
PY  - 2018
DA  - 2018/09/30
TI  - Modeling Pinhole Phenomenon in Sanitary Porcelains Case Study: Isatis Sanitary Porcelain Plant, Yazd, Iran
JO  - Journal of Statistical Theory and Applications
SP  - 572
EP  - 586
VL  - 17
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2018.17.3.11
DO  - 10.2991/jsta.2018.17.3.11
ID  - Bazargan2018
ER  -