Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham
There are two types of waste, reusable and non-reusable wastes. As Malaysia’s economy grows, so does the volume of these types of waste. Most of the waste are disposed of by sending them to landfill sites, often in excessive amounts. Issues that arise from improper disposal of waste include noise an...
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my.uitm.ir.939442024-04-25T03:45:47Z https://ir.uitm.edu.my/id/eprint/93944/ Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham Raisham, Nur Muhammad Danish Dissertations, Academic. Preparation of theses There are two types of waste, reusable and non-reusable wastes. As Malaysia’s economy grows, so does the volume of these types of waste. Most of the waste are disposed of by sending them to landfill sites, often in excessive amounts. Issues that arise from improper disposal of waste include noise and air pollution, indirect greenhouse gas emissions through human activities such as farming and deforestation and increased global warming. Therefore, a solution must be implemented to ensure that reusable waste is properly disposed of. Recycling is a concept in waste management, in which the process carries out prevention of waste production through in-process modifications, such as collecting, sorting, cleaning and processing reusable waste which then are used in productions. This cycle will repeat if, it is in any capacity, a reusable condition. This is a proven method in which helps mitigate the amount of waste that ends up in landfill sites. Another issue is ensuring that the recycling bins are always available and accessible for nearly demand locations. In this study, a modified version of Maximal Expected Coverage Location Problem (MEXCLP) is implemented to determine the optimum number of bins and the location of recycling bins in Bukit Mahkota, Kajang. Constraints and parameters are included and analysed in the CPLEX programming language, to find the optimal solution that covers the whole study area with the minimum amount of recycling bins possible. As a result, it was found out that 100% of the study area can be covered by placing one recycling bin in either one of two recycling bin locations, namely j3 and j6. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/93944/1/93944.pdf Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham. (2023) [Student Project] (Unpublished) |
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Dissertations, Academic. Preparation of theses Raisham, Nur Muhammad Danish Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
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There are two types of waste, reusable and non-reusable wastes. As Malaysia’s economy grows, so does the volume of these types of waste. Most of the waste are disposed of by sending them to landfill sites, often in excessive amounts. Issues that arise from improper disposal of waste include noise and air pollution, indirect greenhouse gas emissions through human activities such as farming and deforestation and increased global warming. Therefore, a solution must be implemented to ensure that reusable waste is properly disposed of. Recycling is a concept in waste management, in which the process carries out prevention of waste production through in-process modifications, such as collecting, sorting, cleaning and processing reusable waste which then are used in productions. This cycle will repeat if, it is in any capacity, a reusable condition. This is a proven method in which helps mitigate the amount of waste that ends up in landfill sites. Another issue is ensuring that the recycling bins are always available and accessible for nearly demand locations. In this study, a modified version of Maximal Expected Coverage Location Problem (MEXCLP) is implemented to determine the optimum number of bins and the location of recycling bins in Bukit Mahkota, Kajang. Constraints and parameters are included and analysed in the CPLEX programming language, to find the optimal solution that covers the whole study area with the minimum amount of recycling bins possible. As a result, it was found out that 100% of the study area can be covered by placing one recycling bin in either one of two recycling bin locations, namely j3 and j6. |
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Student Project |
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Raisham, Nur Muhammad Danish |
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Raisham, Nur Muhammad Danish |
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Raisham, Nur Muhammad Danish |
title |
Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
title_short |
Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
title_full |
Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
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Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
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Adjusted covering method: optimal recycling facility location allocation in Bandar Bukit Mahkota / Nur Muhammad Danish Raisham |
title_sort |
adjusted covering method: optimal recycling facility location allocation in bandar bukit mahkota / nur muhammad danish raisham |
publishDate |
2023 |
url |
https://ir.uitm.edu.my/id/eprint/93944/1/93944.pdf https://ir.uitm.edu.my/id/eprint/93944/ |
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