A Revenue Management Slot Allocation Model with Prioritization for the Liner Shipping Industry
Sebastian Zurheide () and
Kathrin Fischer ()
Additional contact information
Sebastian Zurheide: Hamburg University of Technology
Kathrin Fischer: Hamburg University of Technology
A chapter in Operations Research Proceedings 2010, 2011, pp 143-148 from Springer
Abstract:
Abstract The main characteristics for the successful use of revenue management are present in the liner shipping industry. Hence, revenue management methods can be applied to obtain the best container acceptance strategy. The segmentation which is normally used is based on the different container types, routes and customers. The literature shows that reliability and delivery speed are important factors for customers, and that containers with different commodities often have different priority. Therefore, the optimization model which is developed in this work creates booking limits for standard segmentations and incorporates an additional segmentation approach. These new segments are express and standard containers: The express segment is intended for urgent cargo and gets priority on the next ship. A container in the standard segment only needs to be shipped until a fixed delivery date and can be postponed. This new segmentation approach generates advantages for both parties involved.
Keywords: Segmentation Approach; Empty Container; Liner Shipping; Revenue Management; Freight Rate (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-642-20009-0_23
Ordering information: This item can be ordered from
http://www.springer.com/9783642200090
DOI: 10.1007/978-3-642-20009-0_23
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().