A knowledge based fuzzy analytic network process for sustainable manufacturing indicator

Sustainable manufacturing is a relatively new but a very complex manufacturing paradigm as it encompasses three interdependent sustainability dimensions of economic, environmental and society. To embark on the essence of sustainable manufacturing, the development of sustainability indicators needs t...

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Main Authors:	Adam Shariff Adli, Aminuddin, Mohd Kamal, Mohd Nawawi
Format:	Conference or Workshop Item
Language:	English English
Published:	2019
Subjects:	HD28 Management. Industrial Management
Online Access:	http://umpir.ump.edu.my/id/eprint/26810/ http://umpir.ump.edu.my/id/eprint/26810/1/71.%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf http://umpir.ump.edu.my/id/eprint/26810/2/71.1%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf

id	ump-26810
recordtype	eprints
spelling	ump-268102020-03-19T02:36:55Z http://umpir.ump.edu.my/id/eprint/26810/ A knowledge based fuzzy analytic network process for sustainable manufacturing indicator Adam Shariff Adli, Aminuddin Mohd Kamal, Mohd Nawawi HD28 Management. Industrial Management Sustainable manufacturing is a relatively new but a very complex manufacturing paradigm as it encompasses three interdependent sustainability dimensions of economic, environmental and society. To embark on the essence of sustainable manufacturing, the development of sustainability indicators needs to be highlighted. Regrettably, there are only a few standardized indicator mechanisms which can suit specific requirements of various manufacturing organizations. Hence, this research proposes a novel Knowledge-Based Fuzzy Analytic Network Process (KBFANP) system which are able to assist the decision-making process of sustainable manufacturing by the development of a new indicator mechanism. The KBFANP system consists of four major phases, namely Initialization, Selection, Evaluation and Prioritization. The system integrates the advantages of Knowledge-Based System, Fuzzy Set Theory and Analytic Network Process into a single unified standardized indicator, which is applicable to all types of manufacturing settings. The system is developed, implemented and analyzed on two manufacturing companies. The proposed KBFANP system can be made as the advisory Decision Support System which is able to provide solutions on the areas that need improvement, with different levels of priority. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26810/1/71.%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf pdf en http://umpir.ump.edu.my/id/eprint/26810/2/71.1%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf Adam Shariff Adli, Aminuddin and Mohd Kamal, Mohd Nawawi (2019) A knowledge based fuzzy analytic network process for sustainable manufacturing indicator. In: International Conference on Business, Big-Data, and Decision Sciences (ICBBD) 2019, 22-24 August 2019 , Tokyo University of Science, Kagurazaka Campus, Fujimi Building. pp. 1-9.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	HD28 Management. Industrial Management
spellingShingle	HD28 Management. Industrial Management Adam Shariff Adli, Aminuddin Mohd Kamal, Mohd Nawawi A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
description	Sustainable manufacturing is a relatively new but a very complex manufacturing paradigm as it encompasses three interdependent sustainability dimensions of economic, environmental and society. To embark on the essence of sustainable manufacturing, the development of sustainability indicators needs to be highlighted. Regrettably, there are only a few standardized indicator mechanisms which can suit specific requirements of various manufacturing organizations. Hence, this research proposes a novel Knowledge-Based Fuzzy Analytic Network Process (KBFANP) system which are able to assist the decision-making process of sustainable manufacturing by the development of a new indicator mechanism. The KBFANP system consists of four major phases, namely Initialization, Selection, Evaluation and Prioritization. The system integrates the advantages of Knowledge-Based System, Fuzzy Set Theory and Analytic Network Process into a single unified standardized indicator, which is applicable to all types of manufacturing settings. The system is developed, implemented and analyzed on two manufacturing companies. The proposed KBFANP system can be made as the advisory Decision Support System which is able to provide solutions on the areas that need improvement, with different levels of priority.
format	Conference or Workshop Item
author	Adam Shariff Adli, Aminuddin Mohd Kamal, Mohd Nawawi
author_facet	Adam Shariff Adli, Aminuddin Mohd Kamal, Mohd Nawawi
author_sort	Adam Shariff Adli, Aminuddin
title	A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
title_short	A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
title_full	A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
title_fullStr	A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
title_full_unstemmed	A knowledge based fuzzy analytic network process for sustainable manufacturing indicator
title_sort	knowledge based fuzzy analytic network process for sustainable manufacturing indicator
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26810/ http://umpir.ump.edu.my/id/eprint/26810/1/71.%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf http://umpir.ump.edu.my/id/eprint/26810/2/71.1%20A%20knowledge%20based%20fuzzy%20analytic%20network%20process.pdf
first_indexed	2023-09-18T22:41:59Z
last_indexed	2023-09-18T22:41:59Z
_version_	1777416975653273600

A knowledge based fuzzy analytic network process for sustainable manufacturing indicator

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