A preliminary model for recycling facility location-allocation problem

Optimal location of a facility is important for public or private organizations. Spatial distribution of demand, reachability of demand to the nearest facility, and availability of service provided by the facility are some of the factors that must be considered in locating the facilities. Facility l...

Full description

Bibliographic Details
Published in:AIP Conference Proceedings
Main Author: Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
Format: Conference paper
Language:English
Published: American Institute of Physics 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188431787&doi=10.1063%2f5.0193367&partnerID=40&md5=a6f2dee8f4b8524a6bb39cbc95830f88
id 2-s2.0-85188431787
spelling 2-s2.0-85188431787
Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
A preliminary model for recycling facility location-allocation problem
2024
AIP Conference Proceedings
2895
1
10.1063/5.0193367
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188431787&doi=10.1063%2f5.0193367&partnerID=40&md5=a6f2dee8f4b8524a6bb39cbc95830f88
Optimal location of a facility is important for public or private organizations. Spatial distribution of demand, reachability of demand to the nearest facility, and availability of service provided by the facility are some of the factors that must be considered in locating the facilities. Facility location model with covering problem is an approach that is capable of locating a facility at an optimal location while ensuring demand is served within a defined travel distance. The recycling facility is one of the services provided by the local authorities to encourage households to practice separation at source activity. Within the scope of study, we present a set covering model for solving the recycling facility location problem. The proposed model can determine the optimal location for a recycling facility as well as the ideal allocation of bins to satisfy facility capacity and demand. We evaluate the proposed model's performance using a data set generated at random. Results showed that the proposed model was effective in locating demand at the closest facility while allocating the optimal number of bins to guarantee service accessibility and availability. © 2024 Author(s).
American Institute of Physics
0094243X
English
Conference paper
All Open Access; Bronze Open Access
author Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
spellingShingle Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
A preliminary model for recycling facility location-allocation problem
author_facet Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
author_sort Zaharudin Z.A.; Shuib A.; Hadianti R.; Rodzi Z.M.
title A preliminary model for recycling facility location-allocation problem
title_short A preliminary model for recycling facility location-allocation problem
title_full A preliminary model for recycling facility location-allocation problem
title_fullStr A preliminary model for recycling facility location-allocation problem
title_full_unstemmed A preliminary model for recycling facility location-allocation problem
title_sort A preliminary model for recycling facility location-allocation problem
publishDate 2024
container_title AIP Conference Proceedings
container_volume 2895
container_issue 1
doi_str_mv 10.1063/5.0193367
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188431787&doi=10.1063%2f5.0193367&partnerID=40&md5=a6f2dee8f4b8524a6bb39cbc95830f88
description Optimal location of a facility is important for public or private organizations. Spatial distribution of demand, reachability of demand to the nearest facility, and availability of service provided by the facility are some of the factors that must be considered in locating the facilities. Facility location model with covering problem is an approach that is capable of locating a facility at an optimal location while ensuring demand is served within a defined travel distance. The recycling facility is one of the services provided by the local authorities to encourage households to practice separation at source activity. Within the scope of study, we present a set covering model for solving the recycling facility location problem. The proposed model can determine the optimal location for a recycling facility as well as the ideal allocation of bins to satisfy facility capacity and demand. We evaluate the proposed model's performance using a data set generated at random. Results showed that the proposed model was effective in locating demand at the closest facility while allocating the optimal number of bins to guarantee service accessibility and availability. © 2024 Author(s).
publisher American Institute of Physics
issn 0094243X
language English
format Conference paper
accesstype All Open Access; Bronze Open Access
record_format scopus
collection Scopus
_version_ 1809677675325816832