Optimisation and heuristic approaches for assigning inbound containers to outbound carriers
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Date
2017
Authors
Cemalettin Ozturk
F. Zeynep Sargut
M. Arslan Ornek
Deniz Tursel Eliiyi
Journal Title
Journal ISSN
Volume Title
Publisher
ROUTLEDGE JOURNALS TAYLOR & FRANCIS LTD
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Due to economical and/or geographical constraints most of the time overseas containers cannot be directly shipped to their destinations. These containers visit transhipment ports where they are first unloaded and temporarily stored and then loaded onto smaller vessels (feeders) to be transported to their final destinations. The assignment of these containers to outbound vessels necessitates several factors to be taken into account simultaneously. In this paper we develop a mathematical model to reflect multiple objectives with priorities and to assign these containers to different vessels at the transit container port terminal. Although we solve a single-objective (with the weighted sum of objectives) mathematical model to optimality we also propose two heuristic approaches to solve this complex problem for a transit agency. The first heuristic is shipment based and has four variants differing in how the opportunity costs of the assignments are calculated. The second greedy heuristic is trip based where the goal is to maximise the capacity utilisation of the vessels. The heuristics return very promising solutions in ignorable computational times. We also provide real-life cases and present our conclusions.
Description
Keywords
Container terminal operations, container assignment, optimisation, heuristic algorithm, integer programming, SUPPLY CHAIN, OPERATIONS
Fields of Science
0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
3
Source
Maritime Policy & Management
Volume
44
Issue
Start Page
825
End Page
836
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Scopus : 4
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Mendeley Readers : 21
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