TY - JOUR
T1 - Simultaneous operation of next-generation and traditional quay cranes at container terminals
AU - Abou Kasm, Omar
AU - Diabat, Ali
AU - Chow, Joseph Y.J.
N1 - Funding Information:
This research was supported by Abu Dhabi Ports and Maqta Gateway in Abu Dhabi, United Arab Emirates. Grant number: 72-71280-ADHPG-S0569. The authors would like to acknowledge their invaluable contributions and extend their warm appreciation to the Group CEO of Abu Dhabi Ports, Capt. Mohamed Al Shamsi, and the CEO of Maqta Gateway and CEO of the Digital Cluster in Abu Dhabi Ports Group, Dr. Noura Al Dhaheri.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - Container terminal quay crane scheduling may enter a new era with the recently patented quay crane design. These next-generation cranes can induce noticeable improvements to the service time and quay side's capacity. Specifically, they can access containers from both sides of the vessel and can perform up to four container operations at a time. Port managers may find it useful to operate these cranes in conjunction with traditional cranes, whether in the transition phase or in following a strategic resource allocation. For that, in this work, we model the simultaneous scheduling of next-generation and traditional cranes. We introduce a mixed integer program and two solution methodologies to solve the problem. The first is a column generation approach, designed based on the main problem formulation. It shows improvement over solving the formulation in commercial solver but requires considerable computational time. For that, we introduce a re-visualized vessel structure that results in a reduction of possible feasible arrangements for column generation purposes. Thus, the second approach uses a (modified) column generation algorithm to solve a re-visualized vessel structure, where the new structure's workload is enumerated using a fast set-partitioning formulation. Through a computational study, we show that the proposed approach can solve real cases in a reasonable time. Finally, a case study sheds light on how the positioning of cranes affects the service time and motivates a modelling extension.
AB - Container terminal quay crane scheduling may enter a new era with the recently patented quay crane design. These next-generation cranes can induce noticeable improvements to the service time and quay side's capacity. Specifically, they can access containers from both sides of the vessel and can perform up to four container operations at a time. Port managers may find it useful to operate these cranes in conjunction with traditional cranes, whether in the transition phase or in following a strategic resource allocation. For that, in this work, we model the simultaneous scheduling of next-generation and traditional cranes. We introduce a mixed integer program and two solution methodologies to solve the problem. The first is a column generation approach, designed based on the main problem formulation. It shows improvement over solving the formulation in commercial solver but requires considerable computational time. For that, we introduce a re-visualized vessel structure that results in a reduction of possible feasible arrangements for column generation purposes. Thus, the second approach uses a (modified) column generation algorithm to solve a re-visualized vessel structure, where the new structure's workload is enumerated using a fast set-partitioning formulation. Through a computational study, we show that the proposed approach can solve real cases in a reasonable time. Finally, a case study sheds light on how the positioning of cranes affects the service time and motivates a modelling extension.
KW - Column generation
KW - Container terminal
KW - Integer programming
KW - Logistics
KW - Next-generation quay cranes
KW - Quay crane scheduling
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U2 - 10.1016/j.ejor.2022.10.035
DO - 10.1016/j.ejor.2022.10.035
M3 - Article
AN - SCOPUS:85144743877
SN - 0377-2217
VL - 308
SP - 1110
EP - 1125
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -