eCite Digital Repository
Liner container seasonal shipping revenue management
Citation
Wang, Y and Meng, Q and Du, Y, Liner container seasonal shipping revenue management, Transportation Research. Part B: Methodological, 82 pp. 141-161. ISSN 0191-2615 (2016) [Refereed Article]
Copyright Statement
Copyright 2015 Elsevier Ltd.
DOI: doi:10.1016/j.trb.2015.10.003
Abstract
This paper proposes a liner container seasonal shipping revenue management problem for a container shipping company. For a given weekly multi-type shipment demand pattern in a particular season, the proposed problem aims to maximize the total seasonal shipping profit by determining the number of multi-type containers to be transported and assigned on each container route, the number of containerships deployed on each ship route, and the sailing speed of containerships on each shipping leg subject to both the volume and capacity constraints of each containership. By adopting the realistic bunker consumption rate of a containership as a function of its sailing speed and payload (displacement), we develop a mixed-integer nonlinear programing with a nonconvex objective function for the proposed liner container seasonal shipping revenue management problem. A tailored branch and bound (B&B) method is designed to obtain the global ε-optimal solution of the model. Numerical experiments are finally conducted to assess the efficiency of the solution algorithm and to show the applicability of the developed model.
Item Details
Item Type: | Refereed Article |
---|---|
Keywords: | liner shipping, bunker consumption, revenue management, mixed-integer nonlinear programming model, global optimization, branch and bound |
Research Division: | Commerce, Management, Tourism and Services |
Research Group: | Transportation, logistics and supply chains |
Research Field: | Maritime transportation and freight services |
Objective Division: | Transport |
Objective Group: | Water transport |
Objective Field: | International sea freight transport (excl. live animals, food products and liquefied gas) |
UTAS Author: | Du, Y (Dr Bill Du) |
ID Code: | 113314 |
Year Published: | 2016 |
Web of Science® Times Cited: | 66 |
Deposited By: | Maritime and Logistics Management |
Deposited On: | 2016-12-20 |
Last Modified: | 2022-08-29 |
Downloads: | 0 |
Repository Staff Only: item control page