Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani

Malaysia nowadays is a developing country that becoming industrialized nation by the year of 2020. Accordingly, to rapid growth of industry, the amounts of scheduled wastes generated also increased and lead our country to be more alert about this problem. Therefore, many rules and regulations have b...

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Main Author:	Bani, Mohammad Shahnor
Format:	Thesis
Language:	English
Published:	2011
Online Access:	https://ir.uitm.edu.my/id/eprint/17632/2/TM_MOHAMMAD%20SHAHNOR%20BANI%20EH%2011_5.pdf
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id	my-uitm-ir.17632
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spelling	my-uitm-ir.176322022-04-21T04:05:51Z Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani 2011-06 Bani, Mohammad Shahnor Malaysia nowadays is a developing country that becoming industrialized nation by the year of 2020. Accordingly, to rapid growth of industry, the amounts of scheduled wastes generated also increased and lead our country to be more alert about this problem. Therefore, many rules and regulations have been enforcing to ensure the amount of scheduled wastes generated can be disposed in proper ways. The Department of Environment 7 years ago has already started an electronic reporting system called E-SWIS (Electronic Scheduled Waste Information System) and EConsign (Electronic Consignment) which involved less paperwork and quicker tracking of waste movements, but its effectiveness is unproven. The system failed to discern and comprehend the material in-flow and out-flow of such complex successive scheduled wastes generators, transporters, recoveries and recycles, within the boundary system (country, unit operation, facilities).The lack of complete historical records of quantity and quality has resulted in a situation that makes the long-term system planning and/or short-term expansion programs intangible. A smart system, called SWSPro-1 was developed to overcome the problems. SWSPro-1 is a future waste management analysis tool for the sustainable optimization of multiple disposal and recycling prediction The main goal of SWSPro-1 applications are to help and assist waste generators, policy makers, and environmental consultants, making prediction regarding the amount of scheduled waste categories and estimated cost required for disposing their wastes, estimated landfill life span, and promoting waste minimization and sustainability. Besides, this application will help decision makers to identify the new and old scheduled wastes code, description for each code and the status of wastes. The software also can determine the Electronic Waste and can works as standalone software. This study needs further research to undergo a deem research to be more reliable and consist more functionality such as integrate with web browser, improve mathematical model equation to predict the composition and generation of scheduled waste, and increase the accuracy and alternative in the process selection of waste management by adding the number of treatment facilities. This application has a significant impact on the scheduled waste management encompass cost, time consumption, technical effectiveness, waste minimization, and environmental. SWSPro-1 has been extensively validated. The results have been tested using established data and compared with results from published literature and waste management software to check the validity of equations used and programmed. The results obtained from the tools are found to be consistent and no significant deviation arising in all of the trials. Thus, SWSPro-1 is a good computational software for the consequence modeling of scheduled waste management. 2011-06 Thesis https://ir.uitm.edu.my/id/eprint/17632/ https://ir.uitm.edu.my/id/eprint/17632/2/TM_MOHAMMAD%20SHAHNOR%20BANI%20EH%2011_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Chemical Engineering Ku Hamid, Ku Halim (Prof Dr) Abdul Rashid, Zulkifli
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ku Hamid, Ku Halim (Prof Dr) Abdul Rashid, Zulkifli
description	Malaysia nowadays is a developing country that becoming industrialized nation by the year of 2020. Accordingly, to rapid growth of industry, the amounts of scheduled wastes generated also increased and lead our country to be more alert about this problem. Therefore, many rules and regulations have been enforcing to ensure the amount of scheduled wastes generated can be disposed in proper ways. The Department of Environment 7 years ago has already started an electronic reporting system called E-SWIS (Electronic Scheduled Waste Information System) and EConsign (Electronic Consignment) which involved less paperwork and quicker tracking of waste movements, but its effectiveness is unproven. The system failed to discern and comprehend the material in-flow and out-flow of such complex successive scheduled wastes generators, transporters, recoveries and recycles, within the boundary system (country, unit operation, facilities).The lack of complete historical records of quantity and quality has resulted in a situation that makes the long-term system planning and/or short-term expansion programs intangible. A smart system, called SWSPro-1 was developed to overcome the problems. SWSPro-1 is a future waste management analysis tool for the sustainable optimization of multiple disposal and recycling prediction The main goal of SWSPro-1 applications are to help and assist waste generators, policy makers, and environmental consultants, making prediction regarding the amount of scheduled waste categories and estimated cost required for disposing their wastes, estimated landfill life span, and promoting waste minimization and sustainability. Besides, this application will help decision makers to identify the new and old scheduled wastes code, description for each code and the status of wastes. The software also can determine the Electronic Waste and can works as standalone software. This study needs further research to undergo a deem research to be more reliable and consist more functionality such as integrate with web browser, improve mathematical model equation to predict the composition and generation of scheduled waste, and increase the accuracy and alternative in the process selection of waste management by adding the number of treatment facilities. This application has a significant impact on the scheduled waste management encompass cost, time consumption, technical effectiveness, waste minimization, and environmental. SWSPro-1 has been extensively validated. The results have been tested using established data and compared with results from published literature and waste management software to check the validity of equations used and programmed. The results obtained from the tools are found to be consistent and no significant deviation arising in all of the trials. Thus, SWSPro-1 is a good computational software for the consequence modeling of scheduled waste management.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Bani, Mohammad Shahnor
spellingShingle	Bani, Mohammad Shahnor Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
author_facet	Bani, Mohammad Shahnor
author_sort	Bani, Mohammad Shahnor
title	Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
title_short	Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
title_full	Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
title_fullStr	Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
title_full_unstemmed	Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani
title_sort	development of smart advisory system for scheduled wastes generators in malaysia / mohammad shahnor bani
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Chemical Engineering
publishDate	2011
url	https://ir.uitm.edu.my/id/eprint/17632/2/TM_MOHAMMAD%20SHAHNOR%20BANI%20EH%2011_5.pdf
_version_	1783733571982196736

Development of smart advisory system for scheduled wastes generators in Malaysia / Mohammad Shahnor Bani

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