Robust ship fleet deployment with shipping revenue management
The fleet deployment problem is a tactical planning problem in the shipping industry that seeks to efficiently assign ships to predetermined shipping services to meet the uncertain and seasonal changing demands caused by a highly fluctuating market. Once the fleet deployment plan is fixed, the allocated capacity on each service affects the possible flows transported and the profit obtained. This paper proposes a two-stage robust optimization model for ship fleet deployment and shipping revenue management of a liner shipping network under demand uncertainty. The randomness of demand in the authors' model is represented by probability-free uncertain sets. A column-and-constraint generation based exact algorithm is designed to solve the authors' model based on the analysis of its structural properties. To further accelerate the convergence of the authors' algorithm, an M-tightening technique has been exploited. Finally, extensive computational experiments based on realistic instances are conducted to validate the effectiveness of the authors' model and the efficiency of the algorithm; further, managerial insights are acquired based on the numerical results.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Lai, Xiaofan
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0000-0002-6690-2459
- Wu, Lingxiao
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0000-0002-5123-7556
- Wang, Kai
- Wang, Fan
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 169-196
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Serial:
- Transportation Research Part B: Methodological
- Volume: 161
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Deployment; Liner shipping; Merchant fleet operation; Optimization; Uncertainty; Yield management
- Subject Areas: Finance; Freight Transportation; Marine Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01848244
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 8 2022 3:12PM