TY - GEN
T1 - Fuzzy optimization models for seaside port logistics
T2 - International Joint Conference on Computational Intelligence, IJCCI 2013
AU - Expósito-Izquiero, Christopher
AU - Lalla-Ruiz, Eduardo
AU - Lamata, Teresa
AU - Melián-Batista, Belén
AU - Moreno-Vega, J. Marcos
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The service time of container vessels is the main indicator of the competitiveness of a maritime container terminal. Vessels have to be berthed along the quay, a subset of quay cranes must be assigned to them and work schedules have to be planned for unloading the import containers and loading the export containers. This work addresses the Tactical Berth Allocation Problem, in which the vessels are assigned to a given berth, and the Quay Crane Scheduling Problem, for which the work schedules of the quay cranes are determined. The nature of this environment gives rise to inaccurate knowledge about the information related to the incoming vessels. Therefore, the aforementioned optimization problems can be tackled by considering fuzzy arrival times for the vessels and fuzzy processing times for the loading/unloading operations. Two fuzzy mathematical models are provided to solve the problems at hand. The computational experiments carried out in this work corroborate the effectiveness of the proposed methodologies.
AB - The service time of container vessels is the main indicator of the competitiveness of a maritime container terminal. Vessels have to be berthed along the quay, a subset of quay cranes must be assigned to them and work schedules have to be planned for unloading the import containers and loading the export containers. This work addresses the Tactical Berth Allocation Problem, in which the vessels are assigned to a given berth, and the Quay Crane Scheduling Problem, for which the work schedules of the quay cranes are determined. The nature of this environment gives rise to inaccurate knowledge about the information related to the incoming vessels. Therefore, the aforementioned optimization problems can be tackled by considering fuzzy arrival times for the vessels and fuzzy processing times for the loading/unloading operations. Two fuzzy mathematical models are provided to solve the problems at hand. The computational experiments carried out in this work corroborate the effectiveness of the proposed methodologies.
KW - Fuzzy optimization model
KW - Maritime container terminal
KW - Seaside operations
KW - Variable neighbourhood search
KW - Optimization
KW - Logistics
KW - n/a OA procedure
UR - http://www.scopus.com/inward/record.url?scp=84947799009&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23392-5_18
DO - 10.1007/978-3-319-23392-5_18
M3 - Conference contribution
AN - SCOPUS:84947799009
SN - 978-3-319-23391-8
T3 - Studies in Computational Intelligence
SP - 323
EP - 343
BT - Computational Intelligence
A2 - Madani, Kurosh
A2 - Dourado, António
A2 - Rosa, Agostinho
A2 - Filipe, Joaquim
A2 - Kacprzyk, Janusz
PB - Springer
CY - Cham
Y2 - 20 September 2013 through 22 September 2013
ER -