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...
| Váldodahkkit: | , |
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| Materiálatiipa: | Conference or Workshop Item |
| Giella: | English English |
| Almmustuhtton: |
2019
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| Liŋkkat: | 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 |
| _version_ | 1825813048803196928 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:38:14Z |
| format | Conference or Workshop Item |
| id | UMPir26810 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:38:14Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | UMPir268102020-03-19T02:36:55Z 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) (Unpublished) |
| spellingShingle | HD28 Management. Industrial Management Adam Shariff Adli, Aminuddin Mohd Kamal, Mohd Nawawi A knowledge based fuzzy analytic network process for sustainable manufacturing indicator |
| title | 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_short | A knowledge based fuzzy analytic network process for sustainable manufacturing indicator |
| title_sort | knowledge based fuzzy analytic network process for sustainable manufacturing indicator |
| topic | HD28 Management. Industrial Management |
| url | 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 |
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