A bidding advisory model for less-than-truckload combinatorial auctions with stochastic demand is proposed. The context of less-than-truckload combinatorial auctions is formulated and the first less-than-truckload bidding model is proposed; truckload models are improved by bidding with value-based pricing, volume segmentation, and uncertain demand and capacity. The less-than-truckload bidding model efficiently solves stochastic minimum-cost flow problems to construct profitable bids. Numerical experiments demonstrate its application and benefits.
Pricing and Segmentation of Stochastic Demand in Less-Than-Truckload Combinatorial Bids
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2567 , 1 ; 28-37
2016-01-01
Article (Journal)
Electronic Resource
English
Network concentration indices for less-than-truckload transportation
Online Contents | 2016
|Network concentration indices for less-than-truckload transportation
Online Contents | 2016
|Estimating and benchmarking Less-than-Truckload market rates
Online Contents | 2010
|Long-Haul Shipment Optimization for Less-Than-Truckload Carriers
Transportation Research Record | 2009
|