Integration of statistical and engineering process control for quality improvement : case study : chemical industry-national chlorine industries
Dissertant
al-Shibib, Muhammad Ibrahim Salim
Thesis advisor
Comitee Members
Mahir, Rami A.
al-Abd Allat, Yusuf
University
Isra University
Faculty
Faculty of Engineering
University Country
Jordan
Degree
Master
Degree Date
2014
English Abstract
There are two statistically based approaches for quality improvement.
The first of these is the statistical process control (SPC).
The focus of SPC is on identifying assignable causes so that they can be removed, thereby leading to permanent process improvement.
The second approach is based on adjusting the process using information about its current level or deviation from a desired target.
This approach is often called feedback adjustment, and it is a form of engineering process control or EPC.
Feedback adjustment regulates the process to account for sources of variability that cannot be removed by applying the SPC approach.
The objective of this research is to develop a framework that integrates these two important approaches for quality improvement.
The proposed SPC/EPC integration is performed continually in three successive phases, off-line analysis phase, on-line monitoring and detecting phase and integrating SPC / EPC phase.
The proposed approach is applied to data collected from chlorine industry, which progress is monitored by measuring the feed brine solution concentration and the acidity index of samples withdrawn from the ferric brine treatment tank.
This process is poorly automated, subject to several disturbances.
The research concluded that, the plant process engineers are now able to use a valuable decision making tool when the production process is affected by certain disruptions throughout using on-line monitoring and adjusting technique for the key process variables in specified times and using a predication formula to compute the final product quality.
Main Subjects
Topics
No. of Pages
73
Table of Contents
Table of contents.
Abstract.
Chapter one : Introduction.
Chapter Two : Integrated 5PC / EPC methods.
Chapter Three : The proposed SPC / EPC integration approach.
Chapter Four : Integrating SPC / EPC phase.
Chapter Five : Conclusions and recommendations.
References.
American Psychological Association (APA)
al-Shibib, Muhammad Ibrahim Salim. (2014). Integration of statistical and engineering process control for quality improvement : case study : chemical industry-national chlorine industries. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-546130
Modern Language Association (MLA)
al-Shibib, Muhammad Ibrahim Salim. Integration of statistical and engineering process control for quality improvement : case study : chemical industry-national chlorine industries. (Master's theses Theses and Dissertations Master). Isra University. (2014).
https://search.emarefa.net/detail/BIM-546130
American Medical Association (AMA)
al-Shibib, Muhammad Ibrahim Salim. (2014). Integration of statistical and engineering process control for quality improvement : case study : chemical industry-national chlorine industries. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-546130
Language
English
Data Type
Arab Theses
Record ID
BIM-546130
