Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution
The article discusses a case study at a company that works on Fast Moving Consumer Goods (FMCG) section using B2B distribution system, and is conducting a market test for its new alternative tobacco products using B2C distribution system. The purpose of this study is to determine both number and loc...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
|
Series: | SHS Web of Conferences |
Subjects: | |
Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2020/04/shsconf_icsh2020_01012.pdf |
id |
doaj-e97a8182fc664e6abc671fa52db6a9c7 |
---|---|
record_format |
Article |
spelling |
doaj-e97a8182fc664e6abc671fa52db6a9c72021-04-02T12:26:28ZengEDP SciencesSHS Web of Conferences2261-24242020-01-01760101210.1051/shsconf/20207601012shsconf_icsh2020_01012Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) DistributionSutapa I Nyoman0Wullur Magdalena1Nano Cahyono Tania2Department of Industrial Engineering, Faculty of Industrial Technology, Petra Christian UniversityDepartment of Management, Faculty of Economics and Business, Sam Ratulangi UniversityDepartment of Industrial Engineering, Faculty of Industrial Technology, Petra Christian UniversityThe article discusses a case study at a company that works on Fast Moving Consumer Goods (FMCG) section using B2B distribution system, and is conducting a market test for its new alternative tobacco products using B2C distribution system. The purpose of this study is to determine both number and location of warehouses that provides a minimum total logistics costs for the B2C process, where the company is currently still using company-owned B2B warehouses. Determination of the number and location of these warehouses is performed using Agglomerative Hierarchical Clustering where grouping is based on the shortest distance and is done using Evolutionary Solver. Centre of Gravity is also used to determine the location of the warehouses. Iteration will be carried out to obtain the number of warehouses that provide minimal total cost. The result of the modelling shows that the optimal number of warehouses is six and each warehouse will have their own market division.https://www.shs-conferences.org/articles/shsconf/pdf/2020/04/shsconf_icsh2020_01012.pdfagglomerative hierarchical clusteringcenter of gravityfast moving consumer goodsoptimal number of warehousestobacco alternative product |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sutapa I Nyoman Wullur Magdalena Nano Cahyono Tania |
spellingShingle |
Sutapa I Nyoman Wullur Magdalena Nano Cahyono Tania Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution SHS Web of Conferences agglomerative hierarchical clustering center of gravity fast moving consumer goods optimal number of warehouses tobacco alternative product |
author_facet |
Sutapa I Nyoman Wullur Magdalena Nano Cahyono Tania |
author_sort |
Sutapa I Nyoman |
title |
Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution |
title_short |
Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution |
title_full |
Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution |
title_fullStr |
Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution |
title_full_unstemmed |
Determining the Number and Location of Warehouses to Minimize Logistics Costs of Business to Consumer (B2C) Distribution |
title_sort |
determining the number and location of warehouses to minimize logistics costs of business to consumer (b2c) distribution |
publisher |
EDP Sciences |
series |
SHS Web of Conferences |
issn |
2261-2424 |
publishDate |
2020-01-01 |
description |
The article discusses a case study at a company that works on Fast Moving Consumer Goods (FMCG) section using B2B distribution system, and is conducting a market test for its new alternative tobacco products using B2C distribution system. The purpose of this study is to determine both number and location of warehouses that provides a minimum total logistics costs for the B2C process, where the company is currently still using company-owned B2B warehouses. Determination of the number and location of these warehouses is performed using Agglomerative Hierarchical Clustering where grouping is based on the shortest distance and is done using Evolutionary Solver. Centre of Gravity is also used to determine the location of the warehouses. Iteration will be carried out to obtain the number of warehouses that provide minimal total cost. The result of the modelling shows that the optimal number of warehouses is six and each warehouse will have their own market division. |
topic |
agglomerative hierarchical clustering center of gravity fast moving consumer goods optimal number of warehouses tobacco alternative product |
url |
https://www.shs-conferences.org/articles/shsconf/pdf/2020/04/shsconf_icsh2020_01012.pdf |
work_keys_str_mv |
AT sutapainyoman determiningthenumberandlocationofwarehousestominimizelogisticscostsofbusinesstoconsumerb2cdistribution AT wullurmagdalena determiningthenumberandlocationofwarehousestominimizelogisticscostsofbusinesstoconsumerb2cdistribution AT nanocahyonotania determiningthenumberandlocationofwarehousestominimizelogisticscostsofbusinesstoconsumerb2cdistribution |
_version_ |
1721569044099760128 |