The strategic berth template problem

Imai, Akio; Yamakawa, Yukiko; Huang, Kuancheng

doi:10.1016/j.tre.2014.09.013

Cited by 47 publications

(38 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the temporal attributes, most of the recent studies focus on the dynamic BAP, as introduced by Imai et al (2001). While the studies addressed thus far solve the operational BAP, a new approach to temporal attributes is to consider cyclic vessel arrivals in a longer planning horizon where authors focus on assigning berths for vessels which arrive periodically (Jin et al, 2015, Imai et al, 2014, Peng et al, 2015.…”

Section: Bap Literaturementioning

confidence: 99%

“…The tactical problems such as the berth template design problem (Imai et al, 2014), the service allocation problem, and the integration of these problems (Lee and Jin, 2013) are also collaborative problems since they consider priorities of the shipping liner and adjust the available terminal resources with respect to these requirements. Recently Wang et al (2015b) improve the level of collaboration for the existing tactical berth allocation problem by proposing two new collaborative mechanisms which are based on the utilities associated with the operations start days of each liner string and inventory cost of transshipment containers.…”

Section: Collaborative Problems In Seaside Operations: Bap and Optimimentioning

confidence: 99%

See 1 more Smart Citation

The multi-port berth allocation problem with speed optimization and emission considerations

Venturini

Iris

Kontovas

et al. 2017

Transportation Research Part D: Transport and Environment

154

View full text Add to dashboard Cite

The multi-port berth allocation problem with speed optimization and emission considerations http://researchonline.ljmu.ac.uk/id/eprint/6580/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. AbstractThe container shipping industry faces many interrelated challenges and opportunities, as its role in the global trading system has become increasingly important over the last decades. On the one side, collaboration between port terminals and shipping liners can lead to costs savings and help achieve a sustainable supply chain, and on the other side, the optimization of operations and sailing times leads to reductions in bunker consumption and, thus, to fuel cost and air emissions reductions. To that effect, there is an increasing need to address the integration opportunities and environmental issues related to container shipping through optimization. This paper focuses on the well known Berth Allocation Problem (BAP), an optimization problem assigning berthing times and positions to vessels in container terminals. We introduce a novel mathematical formulation that extends the classical BAP to cover multiple ports in a shipping network under the assumption of strong cooperation between shipping lines and terminals. Speed is optimized on all sailing legs between ports, demonstrating the effect of speed optimization in reducing the total time of the operation, as well as total fuel consumption and emissions. Furthermore, the model implementation shows that an accurate speed discretization can result in far better economic and environmental results.

show abstract

Section: Bap Literaturementioning

confidence: 99%

Section: Collaborative Problems In Seaside Operations: Bap and Optimimentioning

confidence: 99%

The multi-port berth allocation problem with speed optimization and emission considerations

Venturini

Iris

Kontovas

et al. 2017

Transportation Research Part D: Transport and Environment

154

View full text Add to dashboard Cite

show abstract

“…Furthermore, the results were simulated and were compared to the three common vessel service policies used in practice by the MCT operators. Imai et al (2014) considered the case, where the MCT operator faced with excessive vessel service requests, while some new service contracts were under consideration. A strategic berth template problem (BTPS) was designed, where a limited number of vessels were selected to be served and also their berth-windows were scheduled in a specific period of time.…”

Section: Chapter 3 Berth Scheduling Problemmentioning

confidence: 99%

“…The input data for the DBSP mathematical model is generated in the first step of the computational experiments. The available BSP literature and appropriate online resources were the references, considered for adopting the input data that were required to conduct the computational experiments (Imai et al, 2008;Golias and Haralambides, 2011;Imai et al, 2014;Dulebenets et al, 2018a,b;Eniram, 2019). Table 13 represents how the values of the DBSP mathematical model parameters were generated.…”

Section: Input Data Generationmentioning

confidence: 99%

Innovative Metaheuristic Algorithms for Efficient Berth Scheduling at Marine Container Terminals; Masoud Kavoosi; Dissertation; 2019

Kavoosi

2020

Preprint

View full text Add to dashboard Cite

International trade plays a critical role for the global economy. A significant portion of general consumption goods is transported by vessels in a containerized form. Increasing volumes of the containerized trade impose additional pressure on marine container terminals (MCTs), which are responsible for service of incoming vessels from different liner shipping companies. MCTs are considered as important nodes in supply chains, as they allow transfer of containers from vessels to one of the alternative inland modes (generally, truck or rail). Managing operations within MCTs is a quite challenging task not only due to increasing seaborne trade volumes, but also due to increasing number of liner shipping alliances, deployment of megaships by liner shipping companies, inability to expand the terminal size due to spatial constraints, and other factors. Another important goal for the MCT operator is to ensure the timely service of vessels, as the vessel service delays may result in potential disruption of liner shipping schedules, and ultimately cause product delivery delays to the final customers.This dissertation focuses on addressing complex decision problems, which are faced by the MCT operators. The seaside operations, which deal with loading and unloading of vessels, will be of a primary interest, as they affect the total turnaround time of vessels. The latter is considered as one of the key performance indicators for the MCT operations. As many of decision problems related to the seaside operations, cannot be solved using the exact optimization algorithms (e.g., Simplex, Branch-and-Bound, Brach-and-Cut) within a reasonable computational time for the realistic size problem instances, a number of metaheuristic algorithms will be proposed (with a primary focus on Evolutionary Algorithms, which have been widely used in different fields for solving combinatorial decision problems). The proposed metaheuristic algorithms are expected to serve as efficient decision making tools for the MCT operators and facilitate exchange of freight flows between water and inland transportation modes.

show abstract

“…Giallombardo et al (2010) studied the tactical berth allocation problem with simultaneous consideration of the quay crane assignment decision in a transshipment terminal in order to maximize the total value of chosen quay crane profiles and to minimize the housekeeping costs generated by transshipment flows between vessels. Imai et al (2014) studied a strategic berth template problem with specific decision of selecting the ships among the requesting ones to be served and arrange their berth-windows within a limited planning horizon.…”

Section: Literature Reviewmentioning

confidence: 99%

Tactical berth and yard template design at container transshipment terminals: A column generation based approach

Jin

Lee

2015

Transportation Research Part E: Logistics and Transportation Re

View full text Add to dashboard Cite

The strategic berth template problem

Cited by 47 publications

References 44 publications

The multi-port berth allocation problem with speed optimization and emission considerations

The multi-port berth allocation problem with speed optimization and emission considerations

Innovative Metaheuristic Algorithms for Efficient Berth Scheduling at Marine Container Terminals; Masoud Kavoosi; Dissertation; 2019

Tactical berth and yard template design at container transshipment terminals: A column generation based approach

Contact Info

Product

Resources

About