Robust liner shipping schedule design in service networks with transshipment cut and run decisions

The liner shipping industry has been suffering from poor schedule reliability due to delays in ports and the prevalence of transshipment. Aiming to solve the real-life problem of schedule reliability, this report investigates the design of schedule for liner shipping service networks, addressing the...

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Main Author: Mi, Yue
Other Authors: Wang Zhiwei, David
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67444
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-674442023-03-03T17:09:11Z Robust liner shipping schedule design in service networks with transshipment cut and run decisions Mi, Yue Wang Zhiwei, David School of Civil and Environmental Engineering DRNTU::Engineering::Industrial engineering::Operations research The liner shipping industry has been suffering from poor schedule reliability due to delays in ports and the prevalence of transshipment. Aiming to solve the real-life problem of schedule reliability, this report investigates the design of schedule for liner shipping service networks, addressing the uncertainties in port time due to port congestion and delays in handling, while minimizing the impacts of misconnections of transshipment cargo and late-delivery. In addition to the usual published time, the schedule contains a target arrival time and a newly-introduced latest departure time for each port of call in each service. The target arrival time hedges against the possible waiting time at ports while the latest departure time enables a vessel to “cut and run” without waiting too long for delayed transshipment cargo. The schedule will serve as easy-to-use guidelines and assist quick and quality management decisions without the use of highly compute-intensive operational decision tools. The robustness of the schedule allows vessels to recover a delayed schedule in worst cases. A mixed-integer nonlinear stochastic programming model is formulated. Solution methodology is discussed in general, which includes linearization, approximation, and discretization. Bachelor of Science (Maritime Studies) 2016-05-17T01:46:13Z 2016-05-17T01:46:13Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67444 en Nanyang Technological University 46 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Industrial engineering::Operations research
spellingShingle DRNTU::Engineering::Industrial engineering::Operations research
Mi, Yue
Robust liner shipping schedule design in service networks with transshipment cut and run decisions
description The liner shipping industry has been suffering from poor schedule reliability due to delays in ports and the prevalence of transshipment. Aiming to solve the real-life problem of schedule reliability, this report investigates the design of schedule for liner shipping service networks, addressing the uncertainties in port time due to port congestion and delays in handling, while minimizing the impacts of misconnections of transshipment cargo and late-delivery. In addition to the usual published time, the schedule contains a target arrival time and a newly-introduced latest departure time for each port of call in each service. The target arrival time hedges against the possible waiting time at ports while the latest departure time enables a vessel to “cut and run” without waiting too long for delayed transshipment cargo. The schedule will serve as easy-to-use guidelines and assist quick and quality management decisions without the use of highly compute-intensive operational decision tools. The robustness of the schedule allows vessels to recover a delayed schedule in worst cases. A mixed-integer nonlinear stochastic programming model is formulated. Solution methodology is discussed in general, which includes linearization, approximation, and discretization.
author2 Wang Zhiwei, David
author_facet Wang Zhiwei, David
Mi, Yue
format Final Year Project
author Mi, Yue
author_sort Mi, Yue
title Robust liner shipping schedule design in service networks with transshipment cut and run decisions
title_short Robust liner shipping schedule design in service networks with transshipment cut and run decisions
title_full Robust liner shipping schedule design in service networks with transshipment cut and run decisions
title_fullStr Robust liner shipping schedule design in service networks with transshipment cut and run decisions
title_full_unstemmed Robust liner shipping schedule design in service networks with transshipment cut and run decisions
title_sort robust liner shipping schedule design in service networks with transshipment cut and run decisions
publishDate 2016
url http://hdl.handle.net/10356/67444
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