TY - GEN
T1 - Estimating discharge time of cargo units – A case of Ro-Ro shipping
AU - Jia, Beizhen
AU - Rytter, Niels Gorm Malý
AU - Reinhardt, Line Blander
AU - Haulot, Gauvain
AU - Billesø, Mads Bentzen
PY - 2019/9
Y1 - 2019/9
N2 - Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70% of all cargo. The results of the study show potential for improving performance and accuracy. Further investigation and testing is currently ongoing by the case company based on the results from this study.
AB - Ro-Ro shipping is a dominant form of short sea freight transport. Ro-Ro ship operators are today unable to provide customers with precise information about when trailers are available for pick-up by customers on the terminal despite vessel arrival times being well known in due time. This results in reduced truck utilization, longer waiting time for drivers, less efficient yard space utilization, potential terminal congestion and dissatisfied customers. In this paper the cargo unit discharge time estimation problem of Ro-Ro shipping is solved in collaboration with a European short-sea Ro-Ro shipping company. A module-based framework using statistical analysis for estimating the discharge time is proposed and tested. The initial framework is able to estimate the earliest pick-up time of each individual truck or trailer within 1 h accuracy for up to 70% of all cargo. The results of the study show potential for improving performance and accuracy. Further investigation and testing is currently ongoing by the case company based on the results from this study.
KW - Cargo discharge time estimation
KW - Industry implementation
KW - Integrated logistics chain
KW - Short sea shipping
KW - Terminal operations
U2 - 10.1007/978-3-030-31140-7_8
DO - 10.1007/978-3-030-31140-7_8
M3 - Article in proceedings
AN - SCOPUS:85075620585
SN - 9783030311391
T3 - Lecture Notes in Computer Science
SP - 122
EP - 135
BT - Computational Logistics - 10th International Conference, ICCL 2019, Proceedings
A2 - Paternina-Arboleda, Carlos
A2 - Voß, Stefan
PB - Springer
T2 - 10th International Conference on Computational Logistics, ICCL 2019
Y2 - 30 September 2019 through 2 October 2019
ER -