Integrated scheduling of crane handling and truck transportation in a maritime container terminal

Chen, Lu; Langevin, André; Liu, Zhiqiang

doi:10.1016/j.ejor.2012.09.019

Cited by 130 publications

(67 citation statements)

References 35 publications

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“…4, the characteristics of HFS problem with no-buffer and multi-job families are as follows: (1) In view of different job families, first stage and third stage have different dedicated machines respectively serving for jobs from two different job families; (2) For one job in a certain job families(inbound job family or outbound job family), it goes through three stages and each stage has some unrelated parallel machines for the job to choose; (3) There is no buffer between two successive stages; (4) Part of machine sets have intersection at the first stage and the third stage, which will increase the competition for resources; (5) As the processing time is related with machines and sequence, the processing time p i2 of job i at the second stage is not known in advance, which is proportional to the distance between upstream machine m(O i1 ) and downstream machine m (O i3 For the HFS problem with multi-job families and no buffer, it becomes much complicated to construct a model to solve it compared with typical HFS problem. Chen [1,7] and Zeng [8] had already validated the complication of typical HFS problem under containers operation circumstance. However, HFS problem with multi-job families and no-buffer is different from their researches because they only considered one flow or two flows in first-unloading lastloading mode without considering these characteristics: (1), (4), (5) and (6).…”

Section: Description Of Integrated Scheduling Problemmentioning

confidence: 99%

“…Hybrid flow shop (HFS) is an extension of flow shop which exists extensively in the real world such as electrical manufacturing (Choi [11]), iron industry (Atighehchian [12]), textile industry (Montoya-Torres [13]) and ports operation (Chen [1,7]; Zeng [8]). For the standard HFS, Ruiz [14] defined it as follows:…”

Section: Description Of Integrated Scheduling Problemmentioning

confidence: 99%

“…Chen [1,7] described container operation system as 3-stage hybrid flow shop, and she solved the integrated scheduling problem of multi-type equipment with tabu search (TS). Zeng [8] also used a 3-stage hybrid flow shop to simulate the operating system of container terminals, and adopted simulation optimization to solving the integrated scheduling problem.…”

Section: Introductionmentioning

confidence: 99%

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The Integrated Scheduling Problem in Container Terminal with Dual-Cycle Operation

Zhang¹,

Rong²,

Liu³

2014

Int. j. simul. model.

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The paper proposes an integrated scheduling problem for dual-cycle operation in container terminal, which can be described as a 3-stage hybrid flow shop problem with multi-job families and no-buffer. The integrated scheduling problem is formulated as a mixed-integer programming model. Due to the computational intractability, a simulation-based heuristic algorithm is developed for problem solution. State transition of yard truck, inventory and quota of quay crane and yard crane are introduced into the heuristic algorithm. Computational experiments and simulation analysis are conducted to evaluate the effectiveness of the proposed heuristic algorithm. The results show that the algorithm presented is very effective for the equipment scheduling of meta-container terminal with dual-cycle operation.

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Section: Description Of Integrated Scheduling Problemmentioning

confidence: 99%

Section: Description Of Integrated Scheduling Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Integrated Scheduling Problem in Container Terminal with Dual-Cycle Operation

Zhang¹,

Rong²,

Liu³

2014

Int. j. simul. model.

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“…Existing selection operators are Roulette Wheel Selection operator (RWS), Sequential selection operator, Tournament Selection operator (TS), Dominant Selection operator (DSO), Hybrid selection operator, Kin selection operator [9]. RWS is chosen to select the survivals for this problem.…”

Section: Selectionmentioning

confidence: 99%

Study on Shuttle Scheduling Problem in Automated Container Terminal

Shen¹,

Zhao²,

Mi³

et al. 2014

TOAUTOCJ

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Abstract:Owing to the shuttle in Mixed Operation Mode of Shuttle-based automated container terminal handles loading, unloading, congregation and delivery operations .simultaneously, conventional scheduling method cannot be applied. Accordingly, this paper proposed a mathematical scheduling model. The objective is to minimize shuttle operation time and deal with loading and unloading with priority while avoiding unbearable waiting time for congregation and delivery tasks. Due to the complexity of this model, a Genetic Algorithm (GA) is designed for effective solutions. Numerical experiment is conducted to examine the key factors of the problem and the performance of the proposed GA.

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“…Most of the literature about internal trucks has mainly focused on the scheduling of trucks. For example, Chen et al [22] scheduled crane handling and truck transportation integrally to minimize the makespan of ships by developing a Sustainability 2018, 10, 1813 3 of 19 constraint-programming model; Tang et al [23] scheduled quay cranes and trucks jointly considering the coordination work between them to minimize the total idle time.…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective

et al. 2018

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Abstract:The main contribution of this paper is to quantify the impact of the allocation of facilities, including the number of facilities and the fuels adopted by facilities, on carbon emissions. In order to deal with the complex queuing network of container terminals, a simulation model is established with the changing of the number of and the fuel adopted by facilities as inputs. Firstly, the operation process and complex queuing network of container terminals are described to explain why simulation technology needs to be used. Then, various simulation experiments based on a container terminal in Algeria are designed and carried out. Finally, the carbon emissions from facilities and ships at berth and inside container terminals, and the total carbon emissions inside container terminals, are obtained and analyzed. Results show that the emissions from facilities are only a small fraction of the total emissions of container terminals. Improving the number of trucks and yard cranes can help reduce carbon emissions, but when the number continues to rise, the emissions are decreased very slightly. The results obtained and proposed method can be applied to build a green container terminal, which can also be used for similar problems.

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Integrated scheduling of crane handling and truck transportation in a maritime container terminal

Cited by 130 publications

References 35 publications

The Integrated Scheduling Problem in Container Terminal with Dual-Cycle Operation

The Integrated Scheduling Problem in Container Terminal with Dual-Cycle Operation

Study on Shuttle Scheduling Problem in Automated Container Terminal

The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective

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