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...

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Main Authors: Sutapa I Nyoman, Wullur Magdalena, Nano Cahyono Tania
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
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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
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AT nanocahyonotania determiningthenumberandlocationofwarehousestominimizelogisticscostsofbusinesstoconsumerb2cdistribution
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