The Model for Location Routing Problem with Roaming Delivery Locations
The Location Routing Problem with Roaming Delivery Locations (LRPRDL) is a model that represents company activities in delivering products to final customers. Direct delivery to final customers has increased significantly over the growth of e-commerce in the world. E-commerce or business-to-customer...
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Jurusan Teknik Industri, Fakultas Teknik Universitas Muhammadiyah Malang
2020-08-01
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Online Access: | https://ejournal.umm.ac.id/index.php/industri/article/view/11867 |
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doaj-122d30be8276458181bdd4ae5d0e69f62021-04-09T09:49:31ZengJurusan Teknik Industri, Fakultas Teknik Universitas Muhammadiyah MalangJurnal Teknik Industri 1978-14312527-41122020-08-0121217418410.22219/JTIUMM.Vol21.No2.174-18410000The Model for Location Routing Problem with Roaming Delivery LocationsStefanus Ivan Laksono0Y. M. Kinley Aritonang1Julius Dharma Lesmono2Department of Industrial Technology, Parahyangan Catholic University, Bandung, IndonesiaDepartment of Industrial Technology, Parahyangan Catholic University, Bandung, IndonesiaDepartment of Mathematics, Parahyangan Catholic University, Bandung, IndonesiaThe Location Routing Problem with Roaming Delivery Locations (LRPRDL) is a model that represents company activities in delivering products to final customers. Direct delivery to final customers has increased significantly over the growth of e-commerce in the world. E-commerce or business-to-customer companies are urged to increase their last-mile distribution efficiency to survive in the global competition. For that purpose, the LRPRDL model was proposed to increase the efficiency of the company’s last-mile distribution. The model aims to minimize the sum of open depots and transportation costs by determining the number and location of depots and the shipping routes. The LRPRDL was implemented in an instance with four depot candidates, 15 customers, and six vehicles. The instance was solved to the optimality by using a public solver Gurobi. Furthermore, this research conducted a sensitivity analysis on the open depots and fuel costs, customer demand, and radius. The study indicated that customer’s demand and radius have a significant impact on the purchase decision.https://ejournal.umm.ac.id/index.php/industri/article/view/11867vehicle routinglocation-routingtrunk deliveryroaming delivery locationlast-mile |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefanus Ivan Laksono Y. M. Kinley Aritonang Julius Dharma Lesmono |
spellingShingle |
Stefanus Ivan Laksono Y. M. Kinley Aritonang Julius Dharma Lesmono The Model for Location Routing Problem with Roaming Delivery Locations Jurnal Teknik Industri vehicle routing location-routing trunk delivery roaming delivery location last-mile |
author_facet |
Stefanus Ivan Laksono Y. M. Kinley Aritonang Julius Dharma Lesmono |
author_sort |
Stefanus Ivan Laksono |
title |
The Model for Location Routing Problem with Roaming Delivery Locations |
title_short |
The Model for Location Routing Problem with Roaming Delivery Locations |
title_full |
The Model for Location Routing Problem with Roaming Delivery Locations |
title_fullStr |
The Model for Location Routing Problem with Roaming Delivery Locations |
title_full_unstemmed |
The Model for Location Routing Problem with Roaming Delivery Locations |
title_sort |
model for location routing problem with roaming delivery locations |
publisher |
Jurusan Teknik Industri, Fakultas Teknik Universitas Muhammadiyah Malang |
series |
Jurnal Teknik Industri |
issn |
1978-1431 2527-4112 |
publishDate |
2020-08-01 |
description |
The Location Routing Problem with Roaming Delivery Locations (LRPRDL) is a model that represents company activities in delivering products to final customers. Direct delivery to final customers has increased significantly over the growth of e-commerce in the world. E-commerce or business-to-customer companies are urged to increase their last-mile distribution efficiency to survive in the global competition. For that purpose, the LRPRDL model was proposed to increase the efficiency of the company’s last-mile distribution. The model aims to minimize the sum of open depots and transportation costs by determining the number and location of depots and the shipping routes. The LRPRDL was implemented in an instance with four depot candidates, 15 customers, and six vehicles. The instance was solved to the optimality by using a public solver Gurobi. Furthermore, this research conducted a sensitivity analysis on the open depots and fuel costs, customer demand, and radius. The study indicated that customer’s demand and radius have a significant impact on the purchase decision. |
topic |
vehicle routing location-routing trunk delivery roaming delivery location last-mile |
url |
https://ejournal.umm.ac.id/index.php/industri/article/view/11867 |
work_keys_str_mv |
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