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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Main Authors: Lyeme, Halidi Ally, Mushi, Allen R., Nkansah-Gyekye, Yaw
Format: Article
Language:English
Published: Asian Journal of Mathematics and Applications 2024
Subjects:
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