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Transportation Service Procurement Bid Construction Problem from Less Than Truckload Perspective
Joint Authors
Ma, Yanfang
Ge, Xianlong
Yan, Fang
Xu, Manjing
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-17
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yan, Fang& Ma, Yanfang& Xu, Manjing& Ge, Xianlong. 2018. Transportation Service Procurement Bid Construction Problem from Less Than Truckload Perspective. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1205788
Modern Language Association (MLA)
Yan, Fang…[et al.]. Transportation Service Procurement Bid Construction Problem from Less Than Truckload Perspective. Mathematical Problems in Engineering No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1205788
American Medical Association (AMA)
Yan, Fang& Ma, Yanfang& Xu, Manjing& Ge, Xianlong. Transportation Service Procurement Bid Construction Problem from Less Than Truckload Perspective. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1205788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205788