Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy
Landfill restrictions on certain materials and products have provided the impetus to seek for a more sustainable utilisation of waste in a circular economy. These restrictions compounded with legislation and value factors necessitate an urgent solution to address the issue of carbon or glass fibre r...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd.
2019
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/24049/2/Cleaner%202019.pdf http://eprints.utem.edu.my/id/eprint/24049/ https://www.sciencedirect.com/science/article/pii/S0959652619307954 https://doi.org/10.1016/j.jclepro.2019.03.104 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.24049 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.240492020-03-05T12:14:22Z http://eprints.utem.edu.my/id/eprint/24049/ Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy Mohamed Sultan, Al Amin Mativenga, Paul Tarisai T Technology (General) TD Environmental technology. Sanitary engineering Landfill restrictions on certain materials and products have provided the impetus to seek for a more sustainable utilisation of waste in a circular economy. These restrictions compounded with legislation and value factors necessitate an urgent solution to address the issue of carbon or glass fibre reinforced composite waste disposal. There is currently no mutual agreement on waste ownership among stakeholders. This study examined composite manufacturers in the United Kingdom and determined the waste volumes available within these companies. A new approach that combined mathematical modelling of supply chain complexity, centre-of-gravity method and K-Means algorithm was developed to determine the optimum location of third parties that could process waste for a number of supply chain providers. The paper is a presentation of new knowledge and proposes a scientific approach for identifying possible optimum locations for recycling centres. More significantly, this process could be used for clustering and reducing supply chains complexity to enable the setting up of multiple and optimally located recycling centres. The results have indicated that the approach could minimize carbon footprint and greenhouse gas emission associated with transporting cores or waste to processing centres. This work is of generic importance that could be implemented across other waste and aspects of a circular economy such as remanufacturing. Elsevier Ltd. 2019-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24049/2/Cleaner%202019.pdf Mohamed Sultan, Al Amin and Mativenga, Paul Tarisai (2019) Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy. Journal Of Cleaner Production, 223. pp. 508-521. ISSN 0959-6526 https://www.sciencedirect.com/science/article/pii/S0959652619307954 https://doi.org/10.1016/j.jclepro.2019.03.104 |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
topic |
T Technology (General) TD Environmental technology. Sanitary engineering |
spellingShingle |
T Technology (General) TD Environmental technology. Sanitary engineering Mohamed Sultan, Al Amin Mativenga, Paul Tarisai Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
description |
Landfill restrictions on certain materials and products have provided the impetus to seek for a more sustainable utilisation of waste in a circular economy. These restrictions compounded with legislation and value factors necessitate an urgent solution to address the issue of carbon or glass fibre reinforced composite waste disposal. There is currently no mutual agreement on waste ownership among stakeholders. This study examined composite manufacturers in the United Kingdom and determined the
waste volumes available within these companies. A new approach that combined mathematical modelling of supply chain complexity, centre-of-gravity method and K-Means algorithm was developed to determine the optimum location of third parties that could process waste for a number of supply chain providers. The paper is a presentation of new knowledge and proposes a scientific approach for identifying
possible optimum locations for recycling centres. More significantly, this process could be used for clustering and reducing supply chains complexity to enable the setting up of multiple and optimally located recycling centres. The results have indicated that the approach could minimize carbon footprint and greenhouse gas emission associated with transporting cores or waste to processing centres. This
work is of generic importance that could be implemented across other waste and aspects of a circular economy such as remanufacturing. |
format |
Article |
author |
Mohamed Sultan, Al Amin Mativenga, Paul Tarisai |
author_facet |
Mohamed Sultan, Al Amin Mativenga, Paul Tarisai |
author_sort |
Mohamed Sultan, Al Amin |
title |
Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
title_short |
Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
title_full |
Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
title_fullStr |
Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
title_full_unstemmed |
Sustainable Location Identification Decision Protocol (SuLIDeP) For Determining The Location Of Recycling Centres In A Circular Economy |
title_sort |
sustainable location identification decision protocol (sulidep) for determining the location of recycling centres in a circular economy |
publisher |
Elsevier Ltd. |
publishDate |
2019 |
url |
http://eprints.utem.edu.my/id/eprint/24049/2/Cleaner%202019.pdf http://eprints.utem.edu.my/id/eprint/24049/ https://www.sciencedirect.com/science/article/pii/S0959652619307954 https://doi.org/10.1016/j.jclepro.2019.03.104 |
_version_ |
1665905882992476160 |
score |
13.211869 |