EconPapers    
Economics at your fingertips  
 

Practice Summaries: American Airlines Uses Should-Cost Modeling to Assess the Uncertainty of Bids for Its Full-Truckload Shipment Routes

Michael J. Bailey (), John Snapp (), Subramani Yetur (), Jeffrey S. Stonebraker (), Steven A. Edwards (), Aaron Davis () and Robert Cox ()
Additional contact information
Michael J. Bailey: College of Management, North Carolina State University, Raleigh, North Carolina 27695
John Snapp: College of Management, North Carolina State University, Raleigh, North Carolina 27695
Subramani Yetur: College of Management, North Carolina State University, Raleigh, North Carolina 27695
Jeffrey S. Stonebraker: College of Management, North Carolina State University, Raleigh, North Carolina 27695
Steven A. Edwards: College of Management, North Carolina State University, Raleigh, North Carolina 27695
Aaron Davis: American Airlines, Inc., Tulsa, Oklahoma 74116
Robert Cox: American Airlines, Inc., Tulsa, Oklahoma 74116

Interfaces, 2011, vol. 41, issue 2, 194-196

Abstract: We used decision analysis to develop a probabilistic model to help American Airlines assess the uncertainty of bid quotes for its full-truckload (FTL) point-to-point freight shipments of maintenance equipment and in-flight service items in the United States. The model reduced the airline's risk of overpaying an FTL supplier.

Keywords: decision analysis; applications; cost analysis; industries; transportation/shipping (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/inte.1100.0515 (application/pdf)

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:inm:orinte:v:41:y:2011:i:2:p:194-196

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:orinte:v:41:y:2011:i:2:p:194-196