Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2505
Publisher URL: https://www.epubli.de/shop/buch/Digital-Transformation-in-Maritime-and-City-Logistics-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783750249493/92097
Title: Fleet based schedule optimisation for product tanker considering shipʼs stability
Language: English
Authors: Rizvanolli, Anisa 
Haupt, Alexander 
Müller, Peter Marvin 
Dornemann, Jorin 
Keywords: Cargo scheduling in tramp shipping;Optimization;Ship stability;Mixed integer linear programming
Issue Date: 26-Sep-2019
Publisher: epubli GmbH
Part of Series: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Volume number: 28
Journal or Series Name: Proceedings of the Hamburg International Conference of Logistics (HICL) 
Abstract (english): Purpose: Scheduling a fleet of product tankers in a cost effective and robust way to satisfy orders is a complex task. A variety of constraints and preferences complicate this attempt. Manual solutions as common in tramp shipping are not sufficient to deliver optimal and robust schedules. Methodology: For this, we present a mixed integer linear programming formulation of the scheduling problem. Additionally intact stability calculations for each ship of the fleet are implemented in a separate program that checks the feasibility of MILP solutions and creates new cuts for the integer program. Findings: Usually the checking of the stability criteria is done before an order will be accepted and the schedule of the ship is planed accordingly. This requires the selection of a ship a priori. Checking the admissibility of a voyage gives access to a wider variety of possible combinations. Originality: To our knowledge fleet scheduling under consideration of intact stability requirements has received little attention in the literature. Previous works make very simple assumptions on the capacity of the ships and do not include in their linear pro- grams any stability models.
Conference: Hamburg International Conference of Logistics (HICL) 2019 
URI: http://hdl.handle.net/11420/3789
DOI: 10.15480/882.2505
ISBN: 978-3-750249-49-3
ISSN: 2365-5070
Institute: Maritime Logistik W-12 
Mathematik E-10 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
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