Bunker consumption optimization methods in shipping: A critical review and extensions

It is crucial nowadays for shipping companies to reduce bunker consumption while maintaining a certain level of shipping service in view of the high bunker price and concerned shipping emissions. After introducing the three bunker consumption optimization contexts: minimization of total operating cost, minimization of emission and collaborative mechanisms between port operators and shipping companies, this paper presents a critical and timely literature review on mathematical solution methods for bunker consumption optimization problems. Several novel bunker consumption optimization methods are subsequently proposed. The applicability, optimality, and efficiency of the existing and newly proposed methods are also analyzed. This paper provides technical guidelines and insights for researchers and practitioners dealing with the bunker consumption issues.

• Record URL:
  https://doi.org/10.1016/j.tre.2013.02.003
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554513000264
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Wang, Shuaian
  • Meng, Qiang
  • Liu, Zhiyuan
• Publication Date: 2013-7

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 49-62
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 53
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Bunkering; Consumption; Mathematical models; Operating costs; Optimization; Pollutants; Port operations; Shipping
• Subject Areas: Freight Transportation; Marine Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01484080
• Record Type: Publication
• Files: TRIS
• Created Date: May 16 2013 11:16AM