A model-based Decision Support System for multiple container terminals hub management

Facchini, Francesco; Boenzi, Francesco; Digiesi, Salvatore; Mummolo, Giovanni

doi:10.1590/0103-6513.20170074

Cited by 7 publications

(7 citation statements)

References 33 publications

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“…The overall cost (C tot ) due to containers' handling activities are minimized by changing of number of containers to be stocked in port, according to number of containers to be allocated per bays, rows and tiers (n x , n y , and n z ). Equation ( 1 2) and ( 3), the cost due to handling of containers in container yard considering also the re-handling movements (4), the cost for transfer the containers from quayside to container yard (7), as well as the cost for containers' handling in dry port (including the transshipment of the containers on the transport unit) ( 8) and the cost due to the transport of containers from port to dry port, in accordance with the transport unit adopted (by truck in (9) or train in ( 10)).…”

Section: Mathematical Optimization Modelmentioning

confidence: 99%

“…The estimation of the further parameters shown in ( 15) is based on the same equations, already introduced for the economic evaluation. In particular, C F P ′ is evaluated by (7), C F DP ′ by ( 8) and C F TR by ( 9) or (10), in accordance with the transport unit adopted for containers' transport from port to the dry port. In every case the cost of the 'road' and 'non-road' MHE adopted (e.g.…”

Section: Mathematical Optimization Modelmentioning

confidence: 99%

“…The implementation of the dry port radically changes the traditional handling process of the terminal. Indeed, is possible to transfer and storage the containers from terminal hub to dry port avoiding, in this way, the terminal area's congestion and facilitate the containers' stocking in an inland area, where more space is available [7]. The connection between port and dry port are ensured by fast and reliable services (by road or by rail) allowing to consider the inland sites as a real extension of the seaport liable to cause a substantial decrease of the seaport zone congestion [8].…”

Section: Introductionmentioning

confidence: 99%

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Management and Production Engineering Review

Digiesi¹,

Facchini²,

Mummolo³

2019

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Maritime freight transport represents an effective solution, allowing to ensure a low-impact service both under an economic and a sustainable perspective. As a consequence, in the last ten years, an increasing trend of goods transported by sea has been observed. In order to improve the terminal containers' performance, recently published scientific studies shown the applicability of the 'lean logistic' concept as a strategic key for ensuring a continuous improvement of the logistic chain for inter-/intra terminal containers' activities. According to this approach, the adoption of a dry port can positively affect terminal containers' performance, but this requires resources and investments due to inter-terminal activities (e.g. transport of the container from port to dry port and vice versa). The purpose of the study is to develop a mathematical programming optimization model to support the decision making in identifying the best containers' handling strategy for intermodal facilities, according to lean and green perspectives. Numerical experiments shown the effectiveness of the model in identifying efficient material handling strategies under lean and green perspective.

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Section: Mathematical Optimization Modelmentioning

confidence: 99%

Section: Mathematical Optimization Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Management and Production Engineering Review

Digiesi¹,

Facchini²,

Mummolo³

2019

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“…Reducing carbon emissions has drawn the attention of scholars. There are a number of published studies on low carbon and sustainability in fleet deployment [5][6][7][8], berth allocation [9][10][11][12], quay crane planning [12][13][14][15], yard management [16,17] and dry port deployment [18][19][20]. How to shorten the queue time and guide trucks to move faster in order to relieve congestion in the gate has become a necessary breakthrough to achieve the green management of seaports.…”

Section: Introductionmentioning

confidence: 99%

Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions

et al. 2021

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Long queues of arrival trucks are a common problem in seaports, and thus, carbon emissions generated from trucks in the queue cause environmental pollution. In order to relieve gate congestion and reduce carbon emissions, this paper proposes a lane allocation framework combining the truck appointment system (TAS) for four types of trucks. Based on the distribution of arrival times obtained from the TAS, lane allocation decisions in each appointment period are determined in order to minimize the total cost, including the operation cost and carbon emissions cost. The resultant optimization model is a non-linear fractional integer program. This model was firstly transformed to an equivalent integer program with bilinear constraints. Then, an improved branch-and-bound algorithm was designed, which includes further transforming the program into a linear program using the McCormick approximation method and iteratively generating a tighter outer approximation along the branch-and-bound procedure. Numerical studies confirmed the validity of the proposed model and algorithm, while demonstrating that the lane allocation decisions could significantly reduce carbon emissions and operation costs.

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“…As environmental protection awareness has increased, there is extensive literature on the reduction of energy consumption at the terminal. To reduce terminal congestion and carbon footprint, Facchini et al [23,24] proposed a model-based Decision Support System (DSS) to seek the best strategy of inter-/intra-terminal flows of the containers among multiple terminals. He et al [25] comprehensively considered the operational efficiency and energy consumption of the port to address coordinated scheduling of QCs, ITs, and YCs.…”

Section: Introductionmentioning

confidence: 99%

Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area

et al. 2021

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The integrated allocation and scheduling of handling resources are crucial problems in the railway container terminal (RCT). We investigate the integrated optimization problem for handling resources of the crane area, dual-gantry crane (GC), and internal trucks (ITs). A creative handling scheme is proposed to reduce the long-distance, full-loaded movement of GCs by making use of the advantages of ITs. Based on this scheme, we propose a flexible crossing crane area to balance the workload of dual-GC. Decomposing the integrated problem into four sub-problems, a multi-objective mixed-integer programming model (MIP) is developed. By analyzing the characteristic of the integrated problem, a three-layer hybrid heuristic algorithm (TLHHA) incorporating heuristic rule (HR), elite co-evolution genetic algorithm (ECEGA), greedy rule (GR), and simulated annealing (SA) is designed for solving the problem. Numerical experiments were conducted to verify the effectiveness of the proposed model and algorithm. The results show that the proposed algorithm has excellent searching ability, and the simultaneous optimization scheme could ensure the requirements for efficiency, effectiveness, and energy-saving, as well as the balance rate of dual-GC.

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A model-based Decision Support System for multiple container terminals hub management

Cited by 7 publications

References 33 publications

Management and Production Engineering Review

Management and Production Engineering Review

Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions

Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area

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