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Title:

Pricing and Segmentation of Stochastic Demand in Truckload Combinatorial Bids

Accession Number:

01590736

Record Type:

Component

Abstract:

A bidding advisory model for truckload combinatorial auctions with stochastic demand (BMoTS) is proposed hereby. The contributions of this work are: (1) using value-based pricing for bidding rules, (2) segmenting the maximum volume of demand that a carrier is willing to serve, and (3) incorporating demand uncertainty. The algorithm efficiently solves stochastic minimum-cost flow problems and constructs bids that combine synergetic lanes in profitable tours. A numerical experiment illustrates the application of BMoTS.

Supplemental Notes:

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-2100

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mesa-Arango, Rodrigo
Ukkusuri, Satish V

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Finance; Freight Transportation; Planning and Forecasting; I10: Economics and Administration; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-2100

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:55PM