CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY

This research is motivated by a remarkable increase in the use of shipping goods over the last few years, from the movement of domestic to global shipments. The problem discussed in this study is the problem of capacitated multiple allocation median p-hub location problem (C-MA-M-p-HLP). Therefore t...

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Main Author: Muhammad Arifin, Zainuddin
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/43443
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:43443
spelling id-itb.:434432019-09-27T09:17:24ZCLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY Muhammad Arifin, Zainuddin Indonesia Theses C-MA-M-p-HLP, hub and spoke, clustering, hub location problems INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/43443 This research is motivated by a remarkable increase in the use of shipping goods over the last few years, from the movement of domestic to global shipments. The problem discussed in this study is the problem of capacitated multiple allocation median p-hub location problem (C-MA-M-p-HLP). Therefore the selection of hub facilities is an important part that must be considered to produced optimal operational costs by PT. POS Indonesia. Mathematical models built to explore hub and spoke networks by considering not only the opening hub facilities cost, but also considering the intermodal connectivity cost for land and air, as well as the capacity of the hub are important considerations to minimize total operational costs while still providing rapid delivery services. To solve problems in large data sets, heuristic algorithms are developed with clustering approaches to generate feasible solutions. Based on the results of experiments with 10 hypothetical data sets show that on average the quality of algorithmic solutions performance achieve 91.64% of the quality of analytical method solutions with the computational time used is only 0.01% of the total average time to obtain the optimum global solution. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This research is motivated by a remarkable increase in the use of shipping goods over the last few years, from the movement of domestic to global shipments. The problem discussed in this study is the problem of capacitated multiple allocation median p-hub location problem (C-MA-M-p-HLP). Therefore the selection of hub facilities is an important part that must be considered to produced optimal operational costs by PT. POS Indonesia. Mathematical models built to explore hub and spoke networks by considering not only the opening hub facilities cost, but also considering the intermodal connectivity cost for land and air, as well as the capacity of the hub are important considerations to minimize total operational costs while still providing rapid delivery services. To solve problems in large data sets, heuristic algorithms are developed with clustering approaches to generate feasible solutions. Based on the results of experiments with 10 hypothetical data sets show that on average the quality of algorithmic solutions performance achieve 91.64% of the quality of analytical method solutions with the computational time used is only 0.01% of the total average time to obtain the optimum global solution.
format Theses
author Muhammad Arifin, Zainuddin
spellingShingle Muhammad Arifin, Zainuddin
CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
author_facet Muhammad Arifin, Zainuddin
author_sort Muhammad Arifin, Zainuddin
title CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
title_short CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
title_full CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
title_fullStr CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
title_full_unstemmed CLUSTERING APPROACH ON DETERMINING FACILITY LOCATION CONSIDERING MODAL CONECTIVITY AND CAPACITY
title_sort clustering approach on determining facility location considering modal conectivity and capacity
url https://digilib.itb.ac.id/gdl/view/43443
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