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Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri

Irregular waste collection services are among key challenges for establishing waste recycling. Waste collection has been identified globally as a major task consuming a great proportion of the budgetary allocation to waste management authority such as cost allocation for labour, waste collection tru...

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Main Authors: Mohd Iszairi, Nur Jazlina, Md Ramli, Aina Zulaika, Saifulbahri, Nursabrina
Format: Student Project
Language:English
Published: 2023
Subjects:
Mathematical statistics. Probabilities
Online Access:https://ir.uitm.edu.my/id/eprint/83463/1/83463.pdf
https://ir.uitm.edu.my/id/eprint/83463/
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spelling my.uitm.ir.834632023-09-14T04:58:35Z https://ir.uitm.edu.my/id/eprint/83463/ Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri Mohd Iszairi, Nur Jazlina Md Ramli, Aina Zulaika Saifulbahri, Nursabrina Mathematical statistics. Probabilities Irregular waste collection services are among key challenges for establishing waste recycling. Waste collection has been identified globally as a major task consuming a great proportion of the budgetary allocation to waste management authority such as cost allocation for labour, waste collection trucks, or fuel consumption. Having uncollected recyclable waste at the drop-off centers may discourage public engagement in recycling if the allocated containers are constantly full or overflowing, resulting in an odour problem and unclean collection centers. Moreover, waste collection and transportation problems are among the difficult operational problems. A practical recyclable waste collection system would optimize the Waste Management System (WMS), especially in route choice from Depot to each drop-off collection center. An average mean formula is used to determine the recycling collection centers at Port Dickson, Negeri Sembilan. The data are collected from Google Map and are applied in Excel Solver using the Dijkstra’s Algorithm. Based on the simulation conducted, the results show the optimal route for the recyclable waste collection with minimum travel distance where the travel distance from Depot to C13 is 2386 meters, from C13 to D42 is 2555 meters and from D42 back to the Depot is 2407 meters. Hence, the total distance for the recyclable waste collection from Depot to each drop-off collection center is 7384 meters. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83463/1/83463.pdf Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri. (2023) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
spellingShingle Mathematical statistics. Probabilities
Mohd Iszairi, Nur Jazlina
Md Ramli, Aina Zulaika
Saifulbahri, Nursabrina
Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
description Irregular waste collection services are among key challenges for establishing waste recycling. Waste collection has been identified globally as a major task consuming a great proportion of the budgetary allocation to waste management authority such as cost allocation for labour, waste collection trucks, or fuel consumption. Having uncollected recyclable waste at the drop-off centers may discourage public engagement in recycling if the allocated containers are constantly full or overflowing, resulting in an odour problem and unclean collection centers. Moreover, waste collection and transportation problems are among the difficult operational problems. A practical recyclable waste collection system would optimize the Waste Management System (WMS), especially in route choice from Depot to each drop-off collection center. An average mean formula is used to determine the recycling collection centers at Port Dickson, Negeri Sembilan. The data are collected from Google Map and are applied in Excel Solver using the Dijkstra’s Algorithm. Based on the simulation conducted, the results show the optimal route for the recyclable waste collection with minimum travel distance where the travel distance from Depot to C13 is 2386 meters, from C13 to D42 is 2555 meters and from D42 back to the Depot is 2407 meters. Hence, the total distance for the recyclable waste collection from Depot to each drop-off collection center is 7384 meters.
format Student Project
author Mohd Iszairi, Nur Jazlina
Md Ramli, Aina Zulaika
Saifulbahri, Nursabrina
author_facet Mohd Iszairi, Nur Jazlina
Md Ramli, Aina Zulaika
Saifulbahri, Nursabrina
author_sort Mohd Iszairi, Nur Jazlina
title Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
title_short Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
title_full Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
title_fullStr Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
title_full_unstemmed Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
title_sort dijkstra’s algorithm for optimal recyclable waste collection system in port dickson / nur jazlina mohd iszairi, aina zulaika md ramli and nursabrina saifulbahri
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/83463/1/83463.pdf
https://ir.uitm.edu.my/id/eprint/83463/
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score 13.223943

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