Optimization model for solid waste allocation planning
An interval chance-constrained mixed integer linear programming (ICCMILP) was developed for municipal solid waste (MSW) management. The model is derived by an integration of interval linear programming, chance-constrained linear programming and mixed integer programming. This method is able to deal...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/71045 |
| _version_ | 1826127978713579520 |
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| author | Wang, Yu |
| author2 | Qin Xiaosheng |
| author_facet | Qin Xiaosheng Wang, Yu |
| author_sort | Wang, Yu |
| collection | NTU |
| description | An interval chance-constrained mixed integer linear programming (ICCMILP) was developed for municipal solid waste (MSW) management. The model is derived by an integration of interval linear programming, chance-constrained linear programming and mixed integer programming. This method is able to deal with multiple uncertainties associated with probability distributions and discrete intervals presented in both left hand side (LHS) and right hand side (RHS) of constraints and objective function in the model. The case study of Foshan city, China is used to examine the effectiveness of the model. The case study consists of three scenarios with different waste management policies. A trade – off between the system cost, the strictness of the policy and the level of constraints violation is analyzed. Generally, a gentler policy with high level of constraints violation leads to a lower system cost, and vice versa. The results obtained are useful for helping decision makers to figure out desired policy under various environmental and economic constraints. |
| first_indexed | 2024-10-01T07:17:20Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71045 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:17:20Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/710452023-03-03T17:21:57Z Optimization model for solid waste allocation planning Wang, Yu Qin Xiaosheng School of Civil and Environmental Engineering DRNTU::Engineering::Environmental engineering::Waste management An interval chance-constrained mixed integer linear programming (ICCMILP) was developed for municipal solid waste (MSW) management. The model is derived by an integration of interval linear programming, chance-constrained linear programming and mixed integer programming. This method is able to deal with multiple uncertainties associated with probability distributions and discrete intervals presented in both left hand side (LHS) and right hand side (RHS) of constraints and objective function in the model. The case study of Foshan city, China is used to examine the effectiveness of the model. The case study consists of three scenarios with different waste management policies. A trade – off between the system cost, the strictness of the policy and the level of constraints violation is analyzed. Generally, a gentler policy with high level of constraints violation leads to a lower system cost, and vice versa. The results obtained are useful for helping decision makers to figure out desired policy under various environmental and economic constraints. Bachelor of Engineering (Civil) 2017-05-15T02:27:01Z 2017-05-15T02:27:01Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71045 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Environmental engineering::Waste management Wang, Yu Optimization model for solid waste allocation planning |
| title | Optimization model for solid waste allocation planning |
| title_full | Optimization model for solid waste allocation planning |
| title_fullStr | Optimization model for solid waste allocation planning |
| title_full_unstemmed | Optimization model for solid waste allocation planning |
| title_short | Optimization model for solid waste allocation planning |
| title_sort | optimization model for solid waste allocation planning |
| topic | DRNTU::Engineering::Environmental engineering::Waste management |
| url | http://hdl.handle.net/10356/71045 |
| work_keys_str_mv | AT wangyu optimizationmodelforsolidwasteallocationplanning |