Quantifying Opportunity Costs in Sequential Transportation Auctions for Truckload Acquisition

Quantifying Opportunity Costs in Sequential Transportation Auctions for Truckload Acquisition

The principal focus of this research is to quantify opportunity costs in sequential transportation auctions. This paper focuses on the study a transportation marketplace with time-sensitive truckload pickup-and-delivery requests. In this paper, two carriers compete for service requests; each arriving service request triggers an auction where carriers compete with each other to win the right of ...

ITLS - WP - 06 - 09 Quantifying Opportunity Costs in Sequential Transportation Auctions for Truckload Acquisition

The principal focus of this research is to quantify opportunity costs in sequential transportation auctions. This paper focuses on the study a transportation marketplace with time-sensitive truckload pickup-and-delivery requests. In this paper, two carriers compete for service requests; each arriving service request triggers an auction where carriers compete with each other to win the right of ...

Sequential Auctions for Full Truckload Allocation

Reducing Truckload Transportation Costs Through Collaboration

In the highly fragmented truckload transportation industry a substantial fraction of truck movements involves empty trucks, i.e., involves moves that reposition trucks. However, reducing the amount of truck repositioning is difficult because the need for a carrier to reposition its trucks depends on the interactions between the shippers the carrier is serving. Through collaboration, shippers ma...

Bid Price Optimization for Simultaneous Truckload Transportation Procurement Auctions

We study simultaneous transportation procurement auctions from a truckload carrier’s perspective. We formulate a stochastic bid price optimization problem with the objective of maximizing a carrier’s expected profit. The formulation takes into account the synergies among the lanes and the competing carriers’ bidding strategies. For solving this stochastic optimization problem, we develop an ite...