TY - JOUR
T1 - Developing a robust optimization model for seaside operations in container terminal under uncertainty environment
AU - Prayogo, D. N.
AU - Hidayatno, Akhmad
AU - Komarudin, null
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/2/21
Y1 - 2019/2/21
N2 - This paper discusses the robust optimization model development to integrate tactical decisions on seaside operations in container terminal, that is consist of Tactical Berth Allocation Problem and Specific Quay Crane Assignment Problem by considering the uncertainty of vessel arrival time and the number of containers to be discharged and loaded into the arrived vessels, which also affects the uncertainty of handling time required. The development of optimization model considers container terminal managers and shipping liner owners viewpoints. Thus, this optimization model has two objective functions, i.e. minimizing total costs of seaside operations and maximizing service levels for shipping liners. Since these two tactical decisions for seaside operations under uncertainty conditions are inter-related each other, the robust optimization model is solved by using exact method, which is applied to a numerical example in the small-scale problem for testing the effectiveness of the proposed method.
AB - This paper discusses the robust optimization model development to integrate tactical decisions on seaside operations in container terminal, that is consist of Tactical Berth Allocation Problem and Specific Quay Crane Assignment Problem by considering the uncertainty of vessel arrival time and the number of containers to be discharged and loaded into the arrived vessels, which also affects the uncertainty of handling time required. The development of optimization model considers container terminal managers and shipping liner owners viewpoints. Thus, this optimization model has two objective functions, i.e. minimizing total costs of seaside operations and maximizing service levels for shipping liners. Since these two tactical decisions for seaside operations under uncertainty conditions are inter-related each other, the robust optimization model is solved by using exact method, which is applied to a numerical example in the small-scale problem for testing the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85062541480&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/235/1/012067
DO - 10.1088/1755-1315/235/1/012067
M3 - Conference article
AN - SCOPUS:85062541480
SN - 1755-1307
VL - 235
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012067
T2 - 1st International Conference on Global Issue for Infrastructure, Environment and Socio-Economic Development, IC-GIESED 2018
Y2 - 30 August 2018 through 1 September 2018
ER -