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 5 publications

(1 citation statement)

References 33 publications

(32 reference statements)

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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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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 dynamic programming model for optimal allocation of laden shipping containers to Nigerian seaports

Amuji

Onwuegbuchunam

Aponjolosun

et al. 2022

J. sustain. dev. transp. logist.

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In highly competitive shipping market environment, container network operators-Freight forwarders, shipping companies etc. are concerned about design, development and deployment of optimized allocation model to achieve cost savings through improved container storage yard operations, crane productivity, outbound container allocation/distribution to seaport terminals and hence reduction in ships’ waiting times. In this paper, we developed two models, the Dynamic programming model and optimal allocation policy (model), for the optimal allocation of units of outbound laden cargo containers of sizes: 20ft and 40ft to six (6) major seaports in Nigeria. The distributions of the laden containers were allocated as follows: Port-Harcourt, Tincan Island, Onne, and Calabar seaports were allocated with 1,064 units of stuffed containers each. Apapa seaport was allocated with 2,128 units of laden containers, and zero allocation was made to Warri seaport. These results were arrived at through the implementation of the optimal allocation policy. The zero units allocation made to Warri seaport could be attributed to poor shipper patronage and hence the low frequency of ship visits. Apapa seaport was allocated double the number of containers moved to the remaining ports because it attracted more shipper patronage and hence more ship visits. Hence, freight forwarding companies will be assured of cargo spaces and make more profit by allocating more containers. Policy implications of the developed models were discussed.

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Impact of the COVID-19 Pandemic Disruptions on Container Transport

Kuźmicz

2022

Engineering Management in Production and Services

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The COVID-19 pandemic caused unprecedented disruptions in the global economy, and container transport as a predominant means of the goods flow in global supply chains. Different measures employed worldwide to limit the virus spread, such as restrictions and quarantines on border crossings, port staff, container ships, transhipment terminals and the inland transport sector, created a colossal management challenge and caused a domino effect in delays. Consequently, it led to blank sailings and enormous rises in freight transport prices, the lack of supply reliability and shifts between different means of transport. These delays, enhanced by the Suez Canal blockage, exacerbated an already acute problem of the empty container shortage in the market. This paper aims to provide an in-depth overview of the COVID-19 pandemic’s impact on container transport and underline ways to increase resiliency against future disruptions. The research included a literature overview and formulation of recommendations. The paper contributes to the broad research of container transport management and provides insights for practitioners responsible for transport planning and disruption management.

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

Cited by 5 publications

References 33 publications

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

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

The dynamic programming model for optimal allocation of laden shipping containers to Nigerian seaports

Impact of the COVID-19 Pandemic Disruptions on Container Transport

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