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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Main Authors: Stefanus Ivan Laksono, Y. M. Kinley Aritonang, Julius Dharma Lesmono
Format: Article
Language:English
Published: Jurusan Teknik Industri, Fakultas Teknik Universitas Muhammadiyah Malang 2020-08-01
Series:Jurnal Teknik Industri
Subjects:
Online Access:https://ejournal.umm.ac.id/index.php/industri/article/view/11867
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spelling 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
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