Solid waste allocation management based on optimization techniques

A good municipal solid waste (MSW) management plan is needed to ensure that the communities can have a high standard of living. An effective and sustainable MSW management plan goes a long way in keeping the public area clean. However there are many uncertainties involved and these unknown parameter...

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Main Author: Lim, Sean Heng Yu
Other Authors: Qin Xiaosheng
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75721
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-757212023-03-03T17:13:24Z Solid waste allocation management based on optimization techniques Lim, Sean Heng Yu Qin Xiaosheng School of Civil and Environmental Engineering DRNTU::Engineering::Environmental engineering::Waste management A good municipal solid waste (MSW) management plan is needed to ensure that the communities can have a high standard of living. An effective and sustainable MSW management plan goes a long way in keeping the public area clean. However there are many uncertainties involved and these unknown parameters make formulating a reliable MSW management plan hard. A chance constraint programming (CCP) model was developed in this study and its aim is to estimate the system cost of a MSW management plan as accurately as possible. It is then compared to the deterministic model. The CCP model was used on Foshan, China, which is the case study of this report. The CCP model is used to calculate the operational cost of the transfer stations, used to determine the expansion of a facility and used to calculate the overall system cost. Scenario 2, which is the most feasible option, is recommended. A chance constrained interval linear programming (CCILP), combination of both CCP and interval linear programming (ILP), is suggested for further study. It will enable Foshan planners to solve the overall system cost against risk level by using certain interval solutions which is coupled with different constraints and violations. Lastly, the results derived in this study seek to provide Foshan planners with the necessary information to make the best decision in terms of economic and environmental growth. Bachelor of Engineering (Civil) 2018-06-11T07:23:42Z 2018-06-11T07:23:42Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75721 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Environmental engineering::Waste management
spellingShingle DRNTU::Engineering::Environmental engineering::Waste management
Lim, Sean Heng Yu
Solid waste allocation management based on optimization techniques
description A good municipal solid waste (MSW) management plan is needed to ensure that the communities can have a high standard of living. An effective and sustainable MSW management plan goes a long way in keeping the public area clean. However there are many uncertainties involved and these unknown parameters make formulating a reliable MSW management plan hard. A chance constraint programming (CCP) model was developed in this study and its aim is to estimate the system cost of a MSW management plan as accurately as possible. It is then compared to the deterministic model. The CCP model was used on Foshan, China, which is the case study of this report. The CCP model is used to calculate the operational cost of the transfer stations, used to determine the expansion of a facility and used to calculate the overall system cost. Scenario 2, which is the most feasible option, is recommended. A chance constrained interval linear programming (CCILP), combination of both CCP and interval linear programming (ILP), is suggested for further study. It will enable Foshan planners to solve the overall system cost against risk level by using certain interval solutions which is coupled with different constraints and violations. Lastly, the results derived in this study seek to provide Foshan planners with the necessary information to make the best decision in terms of economic and environmental growth.
author2 Qin Xiaosheng
author_facet Qin Xiaosheng
Lim, Sean Heng Yu
format Final Year Project
author Lim, Sean Heng Yu
author_sort Lim, Sean Heng Yu
title Solid waste allocation management based on optimization techniques
title_short Solid waste allocation management based on optimization techniques
title_full Solid waste allocation management based on optimization techniques
title_fullStr Solid waste allocation management based on optimization techniques
title_full_unstemmed Solid waste allocation management based on optimization techniques
title_sort solid waste allocation management based on optimization techniques
publishDate 2018
url http://hdl.handle.net/10356/75721
_version_ 1759857990774554624