TY - JOUR
T1 - A routing and consolidation decision model for containerized air-land intermodal operations
AU - Huang, Kuancheng
AU - Lee, Yu Ting
AU - Xu, Haoran
PY - 2020/3
Y1 - 2020/3
N2 - The study aims to provide the decision support for airfreight forwarders regarding the air-land intermodal operation, for which shipments are transported to gateway airports by air transportation and then delivered to final destinations by trucking service. A mixed integer programming model has been formulated to tackle the integrated routing and consolidation decision, given the various types of air containers. This study has designed an approximate solution algorithm based on Lagrangian Relaxation. In the numerical experiment, the solution algorithm can achieve an objective function value very close to optimality or the Lagrangian lower bound within an acceptable computation time.
AB - The study aims to provide the decision support for airfreight forwarders regarding the air-land intermodal operation, for which shipments are transported to gateway airports by air transportation and then delivered to final destinations by trucking service. A mixed integer programming model has been formulated to tackle the integrated routing and consolidation decision, given the various types of air containers. This study has designed an approximate solution algorithm based on Lagrangian Relaxation. In the numerical experiment, the solution algorithm can achieve an objective function value very close to optimality or the Lagrangian lower bound within an acceptable computation time.
KW - Air-land intermodal operation
KW - Containerization
KW - Freight consolidation
KW - Lagrangian Relaxation
KW - Mixed integer programming
UR - http://www.scopus.com/inward/record.url?scp=85078084330&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2020.106299
DO - 10.1016/j.cie.2020.106299
M3 - Article
AN - SCOPUS:85078084330
VL - 141
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
SN - 0360-8352
M1 - 106299
ER -