Development of a decision support system for solving container loading problems

The globalization of supply chains and rising fuel costs are forcing container carriers both to minimize the number of trips and to maximize available container space. This makes container loading (CL) a critical process especially in real‐life applications. Container loading (CL), which is a diffi...

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Main Authors: Türkay Dereli, Gülesin Sena Daş
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2010-06-01
Series:Transport
Subjects:
Online Access:https://www.mla.vgtu.lt/index.php/Transport/article/view/5760
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spelling doaj-039d4f3e40c84f7a843a790b310d9e982021-07-02T09:17:08ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802010-06-0125210.3846/transport.2010.17Development of a decision support system for solving container loading problemsTürkay Dereli0Gülesin Sena Daş1Dept of Industrial Engineering, University of Gaziantep, Gaziantep, 27310, TurkeyTUBITAK, EU Framework Programmes, National Coordination Office, Ankara, Turkey The globalization of supply chains and rising fuel costs are forcing container carriers both to minimize the number of trips and to maximize available container space. This makes container loading (CL) a critical process especially in real‐life applications. Container loading (CL), which is a difficult problem to be solved, has many applications in container transportation and distribution industries. This article presents a container loading support system (CLSS). The proposed CLSS composes of three main components, including a hybrid Bees Algorithm as the main computational algorithm, the graphical user interface (GUI) and a simulation program. The aim of the designed system is to make the packing pattern more visible to the user in order to simplify the loading process. An illustrative example ‐a CL problem from literature ‐ is also provided to introduce the operation of the system and to prove its efficiency. First published online: 24 Jun 2011 https://www.mla.vgtu.lt/index.php/Transport/article/view/5760decision support systemcontainer loading problemBees Algorithmgraphical user interfaceswarm intelligence
collection DOAJ
language English
format Article
sources DOAJ
author Türkay Dereli
Gülesin Sena Daş
spellingShingle Türkay Dereli
Gülesin Sena Daş
Development of a decision support system for solving container loading problems
Transport
decision support system
container loading problem
Bees Algorithm
graphical user interface
swarm intelligence
author_facet Türkay Dereli
Gülesin Sena Daş
author_sort Türkay Dereli
title Development of a decision support system for solving container loading problems
title_short Development of a decision support system for solving container loading problems
title_full Development of a decision support system for solving container loading problems
title_fullStr Development of a decision support system for solving container loading problems
title_full_unstemmed Development of a decision support system for solving container loading problems
title_sort development of a decision support system for solving container loading problems
publisher Vilnius Gediminas Technical University
series Transport
issn 1648-4142
1648-3480
publishDate 2010-06-01
description The globalization of supply chains and rising fuel costs are forcing container carriers both to minimize the number of trips and to maximize available container space. This makes container loading (CL) a critical process especially in real‐life applications. Container loading (CL), which is a difficult problem to be solved, has many applications in container transportation and distribution industries. This article presents a container loading support system (CLSS). The proposed CLSS composes of three main components, including a hybrid Bees Algorithm as the main computational algorithm, the graphical user interface (GUI) and a simulation program. The aim of the designed system is to make the packing pattern more visible to the user in order to simplify the loading process. An illustrative example ‐a CL problem from literature ‐ is also provided to introduce the operation of the system and to prove its efficiency. First published online: 24 Jun 2011
topic decision support system
container loading problem
Bees Algorithm
graphical user interface
swarm intelligence
url https://www.mla.vgtu.lt/index.php/Transport/article/view/5760
work_keys_str_mv AT turkaydereli developmentofadecisionsupportsystemforsolvingcontainerloadingproblems
AT gulesinsenadas developmentofadecisionsupportsystemforsolvingcontainerloadingproblems
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