Finding An Alternative Routing For Solid Waste Management
Finding the shortest route for transferring solid waste is one of the biggest challenges for every solid waste management organization. Globally, waste collection process represents 74% of operating costs, yet it has been given minor attention. In this research, Dijkstra Algorithm and Travelling Sal...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Pusat Pengajian Sains Matematik
2020
|
Subjects: | |
Online Access: | http://eprints.usm.my/52557/1/Pages%20from%20Full%20thesis%20after.pdf http://eprints.usm.my/52557/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.usm.eprints.52557 |
---|---|
record_format |
eprints |
spelling |
my.usm.eprints.52557 http://eprints.usm.my/52557/ Finding An Alternative Routing For Solid Waste Management Manoharam, Gaeithry QA1 Mathematics (General) Finding the shortest route for transferring solid waste is one of the biggest challenges for every solid waste management organization. Globally, waste collection process represents 74% of operating costs, yet it has been given minor attention. In this research, Dijkstra Algorithm and Travelling Salesman Problem (TSP) using GIS Software 10.1 were used to optimize the route from Seberang Perai Industrial area to Ampang Jajar waste transfer station. Using the technique, we compare the existing and optimized route with the 24 companies from phases I, II and IV in the Seberang Perai Industrial area to waste transfer stations. Dijkstra and TSP are some of the classic algorithms in the GIS which are used to find the shortest route to reduce the operating cost. Carbon emission is an extended part of this study by comparing transportation fuel consumption between existing routes and optimized routes. Pusat Pengajian Sains Matematik 2020-11 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/52557/1/Pages%20from%20Full%20thesis%20after.pdf Manoharam, Gaeithry (2020) Finding An Alternative Routing For Solid Waste Management. Masters thesis, UNSPECIFIED. |
institution |
Universiti Sains Malaysia |
building |
Hamzah Sendut Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Sains Malaysia |
content_source |
USM Institutional Repository |
url_provider |
http://eprints.usm.my/ |
language |
English |
topic |
QA1 Mathematics (General) |
spellingShingle |
QA1 Mathematics (General) Manoharam, Gaeithry Finding An Alternative Routing For Solid Waste Management |
description |
Finding the shortest route for transferring solid waste is one of the biggest challenges for every solid waste management organization. Globally, waste collection process represents 74% of operating costs, yet it has been given minor attention. In this research, Dijkstra Algorithm and Travelling Salesman Problem (TSP) using GIS Software 10.1 were used to optimize the route from Seberang Perai Industrial area to Ampang Jajar waste transfer station. Using the technique, we compare the existing and optimized route with the 24 companies from phases I, II and IV in the Seberang Perai Industrial area to waste transfer stations. Dijkstra and TSP are some of the classic algorithms in the GIS which are used to find the shortest route to reduce the operating cost. Carbon emission is an extended part of this study by comparing transportation fuel consumption between existing routes and optimized routes. |
format |
Thesis |
author |
Manoharam, Gaeithry |
author_facet |
Manoharam, Gaeithry |
author_sort |
Manoharam, Gaeithry |
title |
Finding An Alternative Routing For Solid Waste Management |
title_short |
Finding An Alternative Routing For Solid Waste Management |
title_full |
Finding An Alternative Routing For Solid Waste Management |
title_fullStr |
Finding An Alternative Routing For Solid Waste Management |
title_full_unstemmed |
Finding An Alternative Routing For Solid Waste Management |
title_sort |
finding an alternative routing for solid waste management |
publisher |
Pusat Pengajian Sains Matematik |
publishDate |
2020 |
url |
http://eprints.usm.my/52557/1/Pages%20from%20Full%20thesis%20after.pdf http://eprints.usm.my/52557/ |
_version_ |
1734300764101148672 |
score |
13.211869 |