Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania
Article published by the Asian Journal of Mathematics and Applications Volume 2017, Article ID ama0367, 15 pages
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Format: | Article |
Language: | English |
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Asian Journal of Mathematics and Applications
2024
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Online Access: | http://scienceasia.asia https://scholar.mzumbe.ac.tz/handle/123456789/607 |
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author | Lyeme, Halidi Ally Mushi, Allen R. Nkansah-Gyekye, Yaw |
author_facet | Lyeme, Halidi Ally Mushi, Allen R. Nkansah-Gyekye, Yaw |
author_sort | Lyeme, Halidi Ally |
collection | DSpace |
description | Article published by the Asian Journal of Mathematics and Applications Volume 2017, Article ID ama0367, 15 pages |
format | Article |
id | oai:41.59.85.69:123456789-607 |
institution | Mzumbe University |
language | English |
publishDate | 2024 |
publisher | Asian Journal of Mathematics and Applications |
record_format | dspace |
spelling | oai:41.59.85.69:123456789-6072024-08-13T11:01:45Z Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania Lyeme, Halidi Ally Mushi, Allen R. Nkansah-Gyekye, Yaw Multi-Objective Optimization Solid Waste Management health environment solid waste Article published by the Asian Journal of Mathematics and Applications Volume 2017, Article ID ama0367, 15 pages Solid waste management is a challenging problem in developing nations. The health and environmental negative implications associated with solid waste management are very serious particularly in the developing nations where a large percent of waste is dumped into open areas. These implications are essentially on climate change and global warming due to environmental problems. In this paper, a multiobjective optimization model is developed to address the conflicting objectives of cost minimization, minimization of final waste disposal to the landfill, and environmental impact minimization. The model follows a mixed-integer programming formulation and tested by data from selected wards in Dar es Salaam city. The output is the best location of recycling plants, separating plants, composting plants, incinerating plants, landfill and waste flow allocation between them. The solution shows a high reduction of the amount of waste to the landfill and greenhouse gas emissions by 76% and 55.2% respectively compared to the current system. Private 2024-04-15T10:13:19Z 2024-04-15T10:13:19Z 2017 Article APA 2307-7743 http://scienceasia.asia https://scholar.mzumbe.ac.tz/handle/123456789/607 en application/pdf Asian Journal of Mathematics and Applications |
spellingShingle | Multi-Objective Optimization Solid Waste Management health environment solid waste Lyeme, Halidi Ally Mushi, Allen R. Nkansah-Gyekye, Yaw Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title | Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title_full | Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title_fullStr | Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title_full_unstemmed | Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title_short | Multi-objective optimization model formulation for solid waste management in Dar es Salaam, Tanzania |
title_sort | multi objective optimization model formulation for solid waste management in dar es salaam tanzania |
topic | Multi-Objective Optimization Solid Waste Management health environment solid waste |
url | http://scienceasia.asia https://scholar.mzumbe.ac.tz/handle/123456789/607 |
work_keys_str_mv | AT lyemehalidially multiobjectiveoptimizationmodelformulationforsolidwastemanagementindaressalaamtanzania AT mushiallenr multiobjectiveoptimizationmodelformulationforsolidwastemanagementindaressalaamtanzania AT nkansahgyekyeyaw multiobjectiveoptimizationmodelformulationforsolidwastemanagementindaressalaamtanzania |