TY - JOUR
T1 - Mathematical programming formulations for the strategic berth template problem
AU - Iris, Çağatay
AU - Lalla-Ruiz, Eduardo
AU - Lam, Jasmine Siu Lee
AU - Voß, Stefan
PY - 2018/10/1
Y1 - 2018/10/1
N2 - The strategic berth template problem (SBTP) is an important strategic problem arising at the seaside of container terminals. It aims at supporting terminal managers in deciding which calling ships should be accepted, and it covers determining the most appropriate berth template for the accepted incoming traffic. In this work, we propose and evaluate two formulations. One is based on a conceptual but yet unexplored mathematical model and another is based on a generalized set-packing problem (GSP). Both formulations are assessed on a well-defined set of problem instances. The results indicate that the GSP-based optimization model exhibits a relevant performance, providing optimal solutions within reasonable time for most of the instances considered.
AB - The strategic berth template problem (SBTP) is an important strategic problem arising at the seaside of container terminals. It aims at supporting terminal managers in deciding which calling ships should be accepted, and it covers determining the most appropriate berth template for the accepted incoming traffic. In this work, we propose and evaluate two formulations. One is based on a conceptual but yet unexplored mathematical model and another is based on a generalized set-packing problem (GSP). Both formulations are assessed on a well-defined set of problem instances. The results indicate that the GSP-based optimization model exhibits a relevant performance, providing optimal solutions within reasonable time for most of the instances considered.
KW - Berth allocation problem
KW - Maritime transportation
KW - Set-packing formulation
KW - Strategic planning
KW - Heuristics
KW - Mathematical Programming
KW - Optimization
KW - 22/4 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85050145666&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2018.07.003
DO - 10.1016/j.cie.2018.07.003
M3 - Article
AN - SCOPUS:85050145666
SN - 0360-8352
VL - 124
SP - 167
EP - 179
JO - Computers & industrial engineering
JF - Computers & industrial engineering
ER -