Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.contributor.advisor | Wang, Shuaian Hans (LMS) | en_US |
| dc.creator | Shangguan, Yidan | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/14462 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Modeling and optimization of green shipping systems | en_US |
| dcterms.abstract | The maritime shipping sector plays a central role in global trade while simultaneously facing increasing pressure to reduce greenhouse gas emissions. In response, the field is seeing a rapid expansion of analytics- and optimization-driven approaches that integrate environmental considerations into operational decision making. This thesis focuses on the modeling and optimization of green shipping systems by examining carbon emission allocation mechanisms, carbon cost pass-through strategies under transshipment operations, and the operational management of dual-fuel vessels with methane slip concerns. All studies employ advanced mathematical optimization, informed by realistic network structures and regulatory contexts, to provide practical policy and managerial insights. | en_US |
| dcterms.abstract | The first study addresses the inequality and inefficiency inherent in current carbon emission surcharge practices, which often apply uniform charges across diverse origin-destination (od) pairs and rely on self-reported emissions data. To improve the fairness and oversight of carbon emission allocation, we develop a bi-level programming model that captures the strategic interactions between governmental regulatory objectives and liner shipping companies' operational decisions. Three new carbon allocation metrics are introduced, integrating actual sailing distances, shortest sailing distances, and a convex combination termed harmonic distance. The findings demonstrate that shortest-distance-based allocation provides an equitable and socially optimal cost distribution, balancing government, industry, and consumer interests. | en_US |
| dcterms.abstract | The second study extends the analysis to industry-driven carbon surcharge practices in networks with and without transshipment. A multi-route augmented network is constructed, and two od-link-based optimization models are proposed to examine how carbon allocation policies influence liner shipping companies' profit-maximizing decisions. Numerical experiments show that while carbon allocation has limited impact in networks without transshipment, it plays a critical role when transshipment is present. The results highlight the importance of selecting appropriate carbon allocation measures to avoid unintended cost distortions and profit losses under environmental regulation. | en_US |
| dcterms.abstract | The third study investigates operational strategies for dual-fuel ships powered by liquefied natural gas (LNG), focusing on methane slip—unburned methane emissions that increase at lower sailing speeds and pose substantial climate risks. A nonlinear mixed-integer programming model is developed to jointly optimize fleet composition, sailing speed, and fuel usage decisions under carbon and methane taxation schemes. To ensure tractability, sailing times are discretized as proxies for speed, supported by theoretical validity and computational efficiency. The results indicate that explicitly accounting for methane slip can guide companies toward operational adjustments that mitigate both environmental impact and financial risk. | en_US |
| dcterms.abstract | Collectively, this thesis demonstrates how integrating environmental considerations with optimization-based decision analytics can advance the development of green shipping systems. The methodologies and insights presented here support the implementation of more equitable carbon policies, profitability-conscious fuel and fleet strategies, and climate-aligned maritime operations, providing practical guidance for regulators and shipping companies navigating the transition toward sustainable maritime logistics. | en_US |
| dcterms.extent | xvii, 155 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2026 | en_US |
| dcterms.educationalLevel | Ph.D. | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.accessRights | open access | en_US |
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