logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

A bilevel model and solution algorithm for a freight tariff-setting problem

delete2000-08-01
delete62
PRE
AI
L
Luce Brotcorne
M
Martine Labbé
P
Patrice Marcotte
G
Gilles Savard
DOI：10.1287/trsc.34.3.289.12299delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We consider a bilevel programming formulation of a freight tariff-setting problem where the leader consists in one among a group of competing carriers anal the follower is a shipper. At the upper level, the leader's revenue corresponds to the total tariffs levied, whereas the shipper minimizes its transportation cost, given the tariff schedule set by the leader. We propose for this problem a class of heuristic procedures whose relative efficiencies, on small problem instances, could be validated with respect to optimal solutions obtained from a mixed integer reformulation of the mathematical model. We also present numerical results on large instances that could not be solved to optimality by an exact method.
Keywords:
NETWORK
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Transportation Science cover
Transportation Science
IF:
4.8
Papers:
1.9K
Citations:
8.4K

Organization

No organization information available