Large-Scale, Less-than-Truckload Service Network Design

被引:51
|
作者
Jarrah, Ahmad I. [1 ]
Johnson, Ellis [2 ]
Neubert, Lucas C. [3 ]
机构
[1] George Washington Univ, Sch Business, Dept Decis Sci, Washington, DC 20052 USA
[2] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
[3] JB Hunt, Lowell, AR 72745 USA
关键词
CYCLE-BASED NEIGHBORHOODS; TABU SEARCH; TRANSPORTATION; DELIVERY;
D O I
10.1287/opre.1080.0587
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We present a novel formulation for the service network design problem in the context of large-scale, less-than-truckload (LTL) freight operations. The formulation captures the basic network design constraints; the load-planning requirement that all freight at a location, irrespective of the freight's origin, loads to the same next terminal; and other important LTL specific requirements. Our modeling scheme fragments the underlying massive network design model with up to 1.3 million 0-1 variables and 1.3 million rows into a separate and efficient integer programming (IP) problem for each destination terminal along with a coordinating master network design problem. We produce high-quality solutions in very reasonable CPU times (similar to 2 hours) using slope scaling and load-planning tree generation with corresponding potential annual savings of $20-25 million dollars for the target company for which the research was conducted.
引用
收藏
页码:609 / 625
页数:17
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