Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty
In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under uncertainty of travel time is presented. We consider one hypothetical LNG manufacturer in Iran that sells its products in the form of long-term contracts and spots. The purpose of the study is to examine...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Kharazmi University
2020-02-01
|
Series: | International Journal of Supply and Operations Management |
Subjects: | |
Online Access: | http://www.ijsom.com/article_2807_2fbbd1d8140a50f0cc44a618bb77f7f4.pdf |
id |
doaj-1c8039da101542fcbb1adb7f95d3db75 |
---|---|
record_format |
Article |
spelling |
doaj-1c8039da101542fcbb1adb7f95d3db752021-09-29T04:23:42ZengKharazmi UniversityInternational Journal of Supply and Operations Management2383-13592383-25252020-02-01719311110.22034/ijsom.2020.1.62807Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time UncertaintySanaz Sheikhtajian0Ali Nazemi1Majid Feshari2Faculty of Economics, Kharazmi University, Tehran, IranFaculty of Economics, Kharazmi University, Tehran, IranFaculty of Economics, Kharazmi University, Tehran, IranIn this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under uncertainty of travel time is presented. We consider one hypothetical LNG manufacturer in Iran that sells its products in the form of long-term contracts and spots. The purpose of the study is to examine and compare the shipping costs of split and non-split delivery.The objective function is minimizing the operational costs, contract penalties, and spot fees, and the main constraints are liquefaction port constraints, ship flows, customer and contractual constraints. Considering uncertainty in the problem is one of this paper's contributions which is modeled by assuming vessels speed as a fuzzy parameter. The parameter and related constraints are defuzifided by Jimenez approach and for solving this problem a metaheuristic method is applied and effectiveness of results are compared with a commercial solver. According to the computational results split delivery policy in deterministic problem is cost effective but in the uncertain situation it is more costly comparing to non-split delivery policy, so split delivery is not recommended in maritime transportation with uncertain nature.http://www.ijsom.com/article_2807_2fbbd1d8140a50f0cc44a618bb77f7f4.pdfmarine inventoryroutinguncertaintylng |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sanaz Sheikhtajian Ali Nazemi Majid Feshari |
spellingShingle |
Sanaz Sheikhtajian Ali Nazemi Majid Feshari Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty International Journal of Supply and Operations Management marine inventory routing uncertainty lng |
author_facet |
Sanaz Sheikhtajian Ali Nazemi Majid Feshari |
author_sort |
Sanaz Sheikhtajian |
title |
Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty |
title_short |
Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty |
title_full |
Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty |
title_fullStr |
Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty |
title_full_unstemmed |
Marine Inventory-Routing Problem for Liquefied Natural Gas under Travel Time Uncertainty |
title_sort |
marine inventory-routing problem for liquefied natural gas under travel time uncertainty |
publisher |
Kharazmi University |
series |
International Journal of Supply and Operations Management |
issn |
2383-1359 2383-2525 |
publishDate |
2020-02-01 |
description |
In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under uncertainty of travel time is presented. We consider one hypothetical LNG manufacturer in Iran that sells its products in the form of long-term contracts and spots. The purpose of the study is to examine and compare the shipping costs of split and non-split delivery.The objective function is minimizing the operational costs, contract penalties, and spot fees, and the main constraints are liquefaction port constraints, ship flows, customer and contractual constraints. Considering uncertainty in the problem is one of this paper's contributions which is modeled by assuming vessels speed as a fuzzy parameter. The parameter and related constraints are defuzifided by Jimenez approach and for solving this problem a metaheuristic method is applied and effectiveness of results are compared with a commercial solver. According to the computational results split delivery policy in deterministic problem is cost effective but in the uncertain situation it is more costly comparing to non-split delivery policy, so split delivery is not recommended in maritime transportation with uncertain nature. |
topic |
marine inventory routing uncertainty lng |
url |
http://www.ijsom.com/article_2807_2fbbd1d8140a50f0cc44a618bb77f7f4.pdf |
work_keys_str_mv |
AT sanazsheikhtajian marineinventoryroutingproblemforliquefiednaturalgasundertraveltimeuncertainty AT alinazemi marineinventoryroutingproblemforliquefiednaturalgasundertraveltimeuncertainty AT majidfeshari marineinventoryroutingproblemforliquefiednaturalgasundertraveltimeuncertainty |
_version_ |
1716864840978399232 |