A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment
The scarcity of natural resources has urged the necessity to adopt sustainability practices into current industrial activities. Manufacturing industries have a significant contribution towards socio-economic development by creating job opportunities for the communities and stimulating economic growt...
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Italian Association of Chemical Engineering - AIDIC
2021
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Online Access: | http://eprints.utm.my/id/eprint/96416/1/LianSeeTan2021_AReviewofManufacturingSustainabilityAssessmentTool.pdf http://eprints.utm.my/id/eprint/96416/ http://dx.doi.org/10.3303/CET2189088 |
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my.utm.964162022-07-18T11:48:30Z http://eprints.utm.my/id/eprint/96416/ A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment Theng, Lina Mary Tan, Jully Liew, Peng Yen Tan, Lian See T Technology (General) The scarcity of natural resources has urged the necessity to adopt sustainability practices into current industrial activities. Manufacturing industries have a significant contribution towards socio-economic development by creating job opportunities for the communities and stimulating economic growth. Manufacturing activities are also well-known for their considerably high consumption of natural resources and waste generation. With these underlying issues, research has been actively carried out to develop a holistic framework in both conceptual and practical manners for sustainability improvements, specifically in the manufacturing sectors. Various methods in the research field often lead to the dilemma of selecting the appropriate methods for application. A comprehensive review is desirable to understand the current research efforts by evaluating the specific research problems, methodology developments, and research findings. This paper aims to evaluate the available sustainability assessment methods that were demonstrated with case studies, thereby defining the common practices adopted by the researchers in opting for their preferred methods. A systematic review was conducted to identify the common selection criteria for sustainability assessment methods. This study could provide a holistic insight to streamline the available options and justify their selection according to the application needs. Italian Association of Chemical Engineering - AIDIC 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/96416/1/LianSeeTan2021_AReviewofManufacturingSustainabilityAssessmentTool.pdf Theng, Lina Mary and Tan, Jully and Liew, Peng Yen and Tan, Lian See (2021) A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment. Chemical Engineering Transactions, 89 . pp. 523-528. ISSN 2283-9216 http://dx.doi.org/10.3303/CET2189088 |
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T Technology (General) Theng, Lina Mary Tan, Jully Liew, Peng Yen Tan, Lian See A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
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The scarcity of natural resources has urged the necessity to adopt sustainability practices into current industrial activities. Manufacturing industries have a significant contribution towards socio-economic development by creating job opportunities for the communities and stimulating economic growth. Manufacturing activities are also well-known for their considerably high consumption of natural resources and waste generation. With these underlying issues, research has been actively carried out to develop a holistic framework in both conceptual and practical manners for sustainability improvements, specifically in the manufacturing sectors. Various methods in the research field often lead to the dilemma of selecting the appropriate methods for application. A comprehensive review is desirable to understand the current research efforts by evaluating the specific research problems, methodology developments, and research findings. This paper aims to evaluate the available sustainability assessment methods that were demonstrated with case studies, thereby defining the common practices adopted by the researchers in opting for their preferred methods. A systematic review was conducted to identify the common selection criteria for sustainability assessment methods. This study could provide a holistic insight to streamline the available options and justify their selection according to the application needs. |
format |
Article |
author |
Theng, Lina Mary Tan, Jully Liew, Peng Yen Tan, Lian See |
author_facet |
Theng, Lina Mary Tan, Jully Liew, Peng Yen Tan, Lian See |
author_sort |
Theng, Lina Mary |
title |
A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
title_short |
A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
title_full |
A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
title_fullStr |
A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
title_full_unstemmed |
A review of manufacturing sustainability assessment tool selection criteria: A quantitative score-rating system versus process-data sustainability assessment |
title_sort |
review of manufacturing sustainability assessment tool selection criteria: a quantitative score-rating system versus process-data sustainability assessment |
publisher |
Italian Association of Chemical Engineering - AIDIC |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/96416/1/LianSeeTan2021_AReviewofManufacturingSustainabilityAssessmentTool.pdf http://eprints.utm.my/id/eprint/96416/ http://dx.doi.org/10.3303/CET2189088 |
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13.211869 |