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Mathematical Problems in Engineering
Volume 2018 (2018), Article ID 1728512, 17 pages
Research Article

Transportation Service Procurement Bid Construction Problem from Less Than Truckload Perspective

1School of Economics and Management, Chongqing Jiaotong University, Chongqing 40074, China
2School of Economics and Management, Hebei University of Technology, Tianjin 300130, China
3College of Information and Business, Zhongyuan University of Technology, Zhengzhou 450007, China

Correspondence should be addressed to Fang Yan; nc.ude.utjqc@gnafnay

Received 13 March 2017; Revised 12 June 2017; Accepted 20 June 2017; Published 17 January 2018

Academic Editor: Anna Vila

Copyright © 2018 Fang Yan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents mixed integer programming for a transportation service procurement bid construction problem from a less than full truckload perspective, in which the bidders (carriers) generate their best bid (package) using a bundled price to maximize their utility and increase the chance of winning the business. The models are developed from both the carriers and shippers perspectives to establish a relationship between the quoted price and the likelihood of winning to assist the carriers in balancing the potential benefits and the possibility of winning the bid. An intelligent algorithm based on Particle Swarm Optimization is then designed to solve the proposed model and hypothetical data sets are used to test the effectiveness and efficiency of the proposed model and algorithm.