Logistic Management Optimization for a Container Port Terminal

2012 ◽  
pp. 283-290
Author(s):  
Elvira Maeso ◽  
Manuel Ballesteros ◽  
Javier Caballero
Keyword(s):  
Container Port ◽  
Logistic Management ◽  
Management Optimization

Logistic Management Optimization in the Ports

2015 ◽  
Vol 6 (11) ◽  
pp. 1908-1914
Author(s):  
Maria Jose González Sánchez ◽  
Buiza G. ◽  
Beltran J. ◽  
Stanley M. T. ◽  
Veloqui M. ◽  
...  
Keyword(s):  
Logistic Management ◽  
Management Optimization

Container Port Production and Economic Efficiency

2005 ◽  
Author(s):  
Teng-Fei Wang ◽  
Kevin Cullinane ◽  
Dong-Wook Song
Keyword(s):  
Economic Efficiency ◽  
Container Port

Risk Management Optimization for Sovereign Debt Restructuring

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Andrea Consiglio ◽  
Stavros A. Zenios
Keyword(s):  
Risk Management ◽  
Scenario Analysis ◽  
Sovereign Debt ◽  
Risk Measure ◽  
Policy Tools ◽  
Debt Restructuring ◽  
Tail Risk ◽  
Debt Sustainability ◽  
Scenario Optimization ◽  
Management Optimization

AbstractDebt restructuring is one of the policy tools available for resolving sovereign debt crises and, while unorthodox, it is not uncommon. We propose a scenario analysis for debt sustainability and integrate it with scenario optimization for risk management in restructuring sovereign debt. The scenario dynamics of debt-to-GDP ratio are used to define a tail risk measure, termed

A new hybrid method for multi-objective fuel management optimization using parallel PSO-SA

2014 ◽  
Vol 76 ◽  
pp. 112-121 ◽  
Author(s):  
F. Khoshahval ◽  
A. Zolfaghari ◽  
H. Minuchehr ◽  
M.R. Abbasi
Keyword(s):  
Hybrid Method ◽  
Fuel Management ◽  
Multi Objective ◽  
Management Optimization

scholarly journals What Causes Waterlogging?—Explore the Urban Waterlogging Control Scheme through System Dynamics Simulation

2021 ◽  
Vol 13 (15) ◽  
pp. 8546
Author(s):  
Weike Chen ◽  
Jing Dong ◽  
Chaohua Yan ◽  
Hui Dong ◽  
Ping Liu
Keyword(s):  
Risk Factors ◽  
System Dynamics ◽  
Urban Areas ◽  
Model Simulation ◽  
Urban Expansion ◽  
Dynamics Simulation ◽  
Coupling Mechanism ◽  
Data Governance ◽  
Sponge City ◽  
Management Optimization

It is a common phenomenon in cities that waterlogging affects people’s normal life. It is of great significance for targeted transformation and upgrading to identify the risk factors of urban waterlogging. This paper collected the waterlogging data of Tianjin in China, analyzed the coupling mechanism among waterlogging risk factors of urban drainage systems, and then selected the system dynamics theory and the Vensim software as the analysis tools due to the mixing characteristic and the limited availability of data. After that, the sensitive factors were identified by model simulation and sensitivity analysis, and the prominent impact of urban expansion on waterlogging risk was discussed. Then, through the comparison of the three simulation scenarios, it was found that, compared with the urban development focus shifting strategy, the strategies of sponge city reconstruction and management optimization could achieve the risk control goal within a shorter time. On this basis, two kinds of governance schemes with strong operability were put forward, which were the data governance strategy and the sponge city reconstruction strategy of giving priority to old urban areas. According to the simulation results, a city can reverse the increasing trend of waterlogging risk within ten years under the appropriate scheme. Furthermore, the paper puts forward the strategic reimagining of the rural revitalization strategy and the ecological restoration strategy for the long-term sustainable development transformation of Tianjin.

The dynamic berth allocation problem for a container port

2001 ◽  
Vol 35 (4) ◽  
pp. 401-417 ◽  
Author(s):  
Akio Imai ◽  
Etsuko Nishimura ◽  
Stratos Papadimitriou
Keyword(s):  
Allocation Problem ◽  
Berth Allocation ◽  
Container Port ◽  
Berth Allocation Problem
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