Optimization of research and manufacturing processes in product and service

Bezerra et al. (2008) referred optimizing as a means to enhance the performance of a system or a process in order to acquire the maximum benefit from it. There are two ways how the performance of a system of process will be optimized. The common method is using classical method. Classical. optimizat...

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Main Authors:	Ahmad, Mohammad Norazmi, Abdullah, Erna Normaya
Other Authors:	Mat Desa, Mohd Shaiful Zaidi
Format:	Book Chapter
Language:	English
Published:	Universiti Malaysia Pahang 2019
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/77828/ http://irep.iium.edu.my/77828/ http://irep.iium.edu.my/77828/1/CHAPTER%20iN%20BOOK%20iNDUSTRIAL%20rEVOLUTION%204.0%20%28DR%20AZMI%29.pdf

id	iium-77828
recordtype	eprints
spelling	iium-778282020-01-09T06:50:18Z http://irep.iium.edu.my/77828/ Optimization of research and manufacturing processes in product and service Ahmad, Mohammad Norazmi Abdullah, Erna Normaya QD Chemistry Bezerra et al. (2008) referred optimizing as a means to enhance the performance of a system or a process in order to acquire the maximum benefit from it. There are two ways how the performance of a system of process will be optimized. The common method is using classical method. Classical. optimization has been done by observing the influence of one factor at a time on an experimental response. This technique is called one-variable-at-atime where only one parameter is changed, others are kept at a constant level (Bezerra et al., 2008). However, this technique does not include the interactive effects among the variables studied and hence, does not portray the entire impacts of the parameter on the response. Another disadvantage of the one-factor optimization is the increase in the number of experiments which leads to an increase of time and expenses (Figure 1) as well as an increase in the consumption of reagents and materials (Bezerra et al., 2008). In order to overcome this problem, the optimization has been carried out by using response surface methodology (RSM), a multivariate statistic technique. Universiti Malaysia Pahang Mat Desa, Mohd Shaiful Zaidi Ramli, Azizan Mat Piah, Mohd Bijarimi 2019-11-20 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/77828/1/CHAPTER%20iN%20BOOK%20iNDUSTRIAL%20rEVOLUTION%204.0%20%28DR%20AZMI%29.pdf Ahmad, Mohammad Norazmi and Abdullah, Erna Normaya (2019) Optimization of research and manufacturing processes in product and service. In: Industrial Revolution 4.0 : a future outlook. Universiti Malaysia Pahang, Pahang, pp. 128-141. ISBN 9789672226505 https://www.facebook.com/pg/penerbit.universitimalaysiapahang/posts/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QD Chemistry
spellingShingle	QD Chemistry Ahmad, Mohammad Norazmi Abdullah, Erna Normaya Optimization of research and manufacturing processes in product and service
description	Bezerra et al. (2008) referred optimizing as a means to enhance the performance of a system or a process in order to acquire the maximum benefit from it. There are two ways how the performance of a system of process will be optimized. The common method is using classical method. Classical. optimization has been done by observing the influence of one factor at a time on an experimental response. This technique is called one-variable-at-atime where only one parameter is changed, others are kept at a constant level (Bezerra et al., 2008). However, this technique does not include the interactive effects among the variables studied and hence, does not portray the entire impacts of the parameter on the response. Another disadvantage of the one-factor optimization is the increase in the number of experiments which leads to an increase of time and expenses (Figure 1) as well as an increase in the consumption of reagents and materials (Bezerra et al., 2008). In order to overcome this problem, the optimization has been carried out by using response surface methodology (RSM), a multivariate statistic technique.
author2	Mat Desa, Mohd Shaiful Zaidi
author_facet	Mat Desa, Mohd Shaiful Zaidi Ahmad, Mohammad Norazmi Abdullah, Erna Normaya
format	Book Chapter
author	Ahmad, Mohammad Norazmi Abdullah, Erna Normaya
author_sort	Ahmad, Mohammad Norazmi
title	Optimization of research and manufacturing processes in product and service
title_short	Optimization of research and manufacturing processes in product and service
title_full	Optimization of research and manufacturing processes in product and service
title_fullStr	Optimization of research and manufacturing processes in product and service
title_full_unstemmed	Optimization of research and manufacturing processes in product and service
title_sort	optimization of research and manufacturing processes in product and service
publisher	Universiti Malaysia Pahang
publishDate	2019
url	http://irep.iium.edu.my/77828/ http://irep.iium.edu.my/77828/ http://irep.iium.edu.my/77828/1/CHAPTER%20iN%20BOOK%20iNDUSTRIAL%20rEVOLUTION%204.0%20%28DR%20AZMI%29.pdf
first_indexed	2023-09-18T21:49:44Z
last_indexed	2023-09-18T21:49:44Z
_version_	1777413688156749824

Optimization of research and manufacturing processes in product and service

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