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...

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Main Authors: Sanaz Sheikhtajian, Ali Nazemi, Majid Feshari
Format: Article
Language:English
Published: Kharazmi University 2020-02-01
Series:International Journal of Supply and Operations Management
Subjects:
lng
Online Access:http://www.ijsom.com/article_2807_2fbbd1d8140a50f0cc44a618bb77f7f4.pdf
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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
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