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The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study

by Ali Mostafaeipour, Ahmad Sedaghat, Ali Hazrati, Mohammadali Vahdatzad
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 5
Year of Publication: 2012
Authors: Ali Mostafaeipour, Ahmad Sedaghat, Ali Hazrati, Mohammadali Vahdatzad
10.5120/ijais12-450341

Ali Mostafaeipour, Ahmad Sedaghat, Ali Hazrati, Mohammadali Vahdatzad . The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study. International Journal of Applied Information Systems. 2, 5 ( May 2012), 14-19. DOI=10.5120/ijais12-450341

@article{ 10.5120/ijais12-450341,
author = { Ali Mostafaeipour, Ahmad Sedaghat, Ali Hazrati, Mohammadali Vahdatzad },
title = { The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2012 },
volume = { 2 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 2249-0868 },
pages = { 14-19 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number5/159-0341/ },
doi = { 10.5120/ijais12-450341 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:43:36.023181+05:30
%A Ali Mostafaeipour
%A Ahmad Sedaghat
%A Ali Hazrati
%A Mohammadali Vahdatzad
%T The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 5
%P 14-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Statistical Process Control (SPC) is an effective powerful methodology for analyzing, monitoring, managing, and improving process performance. The purpose of this study is to introduce Statistical Process Control technique in Yazd ceramic tile manufacturing plant in Iran for reducing unwanted ceramic tile defects and wastages. Defects were categorized on their frequencies by examining defective tiles produced in the manufacturing plant. The most important defect was a variety of cracks in different tiles. By implementing control diagrams R, and six-pack for a sensitive parameter, a significant result was observed. Also, system troubleshooting was performed by examining the process and its related machines. After identifying and resolving the given defect and reevaluating the process by the mentioned diagrams, the quality of observed ceramic tiles were improved significantly. Hence, this study presents a complete process to help manufacturer identify defects for process improvement with immediate benefits for the current development cycle in the plant.

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Index Terms

Computer Science
Information Sciences

Keywords

Statistical Process Control; Ceramic Tile; Manufacturing; Pareto Chart; Yazd

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