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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Vilnius Gediminas Technical University
2010-06-01
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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
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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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1721333300662894592 |