Open AccessStatistical Process Control (SPC) under the Quality Approach of Just In Time (JIT) Manufacturing Philosophie and an Application
Author(s) -
Murat GÖRMEN
Publication year - 2022
Publication title -
i̇şletme araştırmaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 1309-0712
DOI - 10.20491/isarder.2022.1402
Subject(s) - statistical process control , process capability , factory (object oriented programming) , process (computing) , production line , quality (philosophy) , manufacturing engineering , process control , production (economics) , computer science , reliability engineering , scope (computer science) , control (management) , control chart , engineering , work in process , industrial engineering , operations management , artificial intelligence , mechanical engineering , programming language , philosophy , epistemology , economics , macroeconomics , operating system
Purpose –The objective of this study is to apply Statistical Process Control (SPC) system to the cog wheel production. Continuous quality improvement of manufactured products is a fundamental assumption of Just in Time (JIT) manufacturing. One of the tools to achieve JIT quality through the elimination of variability is Statistical Process Control (SPC). Statistical Process Control is a powerful collection of problem-solving tools in achieving quality about process stability and improving capability through the reduction of variability.Variation can be significantly reduced by the help of statistical process control. This study is aimed at examining the added value of Statistical Process Control (SPC) in terms of quality when applied in production lines. Design\methodology\approach –The scope of this study is to examine gear wheel production process in the X jeep factory. Before this study was carried out, there was no work on SPC in this factory. First of all the main problem in the gearboxes was understood and the ways for solving the main problem was explained.Findings –It was found out that SPC is not only a simple control method to determine defectiveproduction but also it is a method for blocking defective production. Discussion –Statistical Process Control (SPC) is the most widely used and effective tool that keeps under control of variability in the process.