Liner shipping bunker cost optimization at operational level

The shipping market has been down since the 2008 financial crisis, while the oil price fluctuates and increases recently, resulting in higher bunker cost for shipping companies. The liner shipping industry has been suffering from bunker fuel cost fluctuation since bunker cost is a major portion of s...

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Bibliographic Details
Main Author: Zhu, Siying
Other Authors: Wang Zhiwei
Format: Final Year Project (FYP)
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/71395
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author Zhu, Siying
author2 Wang Zhiwei
author_facet Wang Zhiwei
Zhu, Siying
author_sort Zhu, Siying
collection NTU
description The shipping market has been down since the 2008 financial crisis, while the oil price fluctuates and increases recently, resulting in higher bunker cost for shipping companies. The liner shipping industry has been suffering from bunker fuel cost fluctuation since bunker cost is a major portion of ship operating cost, which even accounts for approximately 75% of large container operating cost when bunker price is about USD500/ton. This study proposes an operational level method for bunker fuel cost optimization, addressing uncertainties in sailing speed, port time, selection of bunker refill port and oil price fluctuation (hedging). A Non-linear programming model for liner shipping network and schedule design is established, with the objective to minimize total bunker fuel cost. This model assist operational management making decisions and help shipping companies survive in different market situations, serving as supplements to the manual and empirical method for liner shipping network planning and bunker cost optimization. Key word: Market fluctuation, Non-linear programming model, Sailing peed, Port time, Bunker refill port, Hedging, Bunker cost optimization
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spelling ntu-10356/713952023-03-03T17:16:41Z Liner shipping bunker cost optimization at operational level Zhu, Siying Wang Zhiwei School of Civil and Environmental Engineering DRNTU::Engineering::Maritime studies The shipping market has been down since the 2008 financial crisis, while the oil price fluctuates and increases recently, resulting in higher bunker cost for shipping companies. The liner shipping industry has been suffering from bunker fuel cost fluctuation since bunker cost is a major portion of ship operating cost, which even accounts for approximately 75% of large container operating cost when bunker price is about USD500/ton. This study proposes an operational level method for bunker fuel cost optimization, addressing uncertainties in sailing speed, port time, selection of bunker refill port and oil price fluctuation (hedging). A Non-linear programming model for liner shipping network and schedule design is established, with the objective to minimize total bunker fuel cost. This model assist operational management making decisions and help shipping companies survive in different market situations, serving as supplements to the manual and empirical method for liner shipping network planning and bunker cost optimization. Key word: Market fluctuation, Non-linear programming model, Sailing peed, Port time, Bunker refill port, Hedging, Bunker cost optimization Bachelor of Science (Maritime Studies) 2017-05-16T07:36:59Z 2017-05-16T07:36:59Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71395 en Nanyang Technological University 38 p. application/pdf
spellingShingle DRNTU::Engineering::Maritime studies
Zhu, Siying
Liner shipping bunker cost optimization at operational level
title Liner shipping bunker cost optimization at operational level
title_full Liner shipping bunker cost optimization at operational level
title_fullStr Liner shipping bunker cost optimization at operational level
title_full_unstemmed Liner shipping bunker cost optimization at operational level
title_short Liner shipping bunker cost optimization at operational level
title_sort liner shipping bunker cost optimization at operational level
topic DRNTU::Engineering::Maritime studies
url http://hdl.handle.net/10356/71395
work_keys_str_mv AT zhusiying linershippingbunkercostoptimizationatoperationallevel