scholarly journals Time Reliability of the Maritime Transportation Network for China’s Crude Oil Imports

2019 ◽  
Vol 12 (1) ◽  
pp. 198
Author(s):  
Shuang Wang ◽  
Jing Lu ◽  
Liping Jiang
Keyword(s):  
Crude Oil ◽  
Transportation Network ◽  
Maritime Transportation ◽  
Decision Makers ◽  
Decision Variable ◽  
Transportation Time ◽  
Government Decision ◽  
Network Transportation ◽  
The Taiwan Strait ◽  
Node Capacity

To evaluate the transportation time reliability of the maritime transportation network for China’s crude oil imports under node capacity variations resulting from extreme events, a framework incorporating bi-level programming and a Monte Carlo simulation is proposed in this paper. Under this framework, the imported crude oil volume from each source country is considered to be a decision variable, and may change in correspondence to node capacity variations. The evaluation results illustrate that when strait or canal nodes were subject to capacity variations, the network transportation time reliability was relatively low. Conversely, the transportation time reliability was relatively high when port nodes were under capacity variations. In addition, the Taiwan Strait, the Strait of Hormuz, and the Strait of Malacca were identified as vulnerable nodes according to the transportation time reliability results. These results can assist government decision-makers and tanker company strategic planners to better plan crude oil import and transportation strategies.

scholarly journals Investigating factors influencing local government decision makers while adopting integration technologies (IntTech)

2015 ◽  
Vol 52 (2) ◽  
pp. 135-150 ◽  
Author(s):  
Muhammad Mustafa Kamal ◽  
Ali Ziaee Bigdeli ◽  
Marinos Themistocleous ◽  
Vincenzo Morabito
Keyword(s):  
Local Government ◽  
Decision Makers ◽  
Factors Influencing ◽  
Government Decision

Proximate Mechanisms of Individual Decision-Making Behavior

2016 ◽  
Author(s):  
Paul W. Glimcher
Keyword(s):  
Twentieth Century ◽  
Large Scale ◽  
Resource Constraints ◽  
Empirical Work ◽  
Decision Makers ◽  
Decision Variable ◽  
Computational Resource ◽  
Human Decision ◽  
Holistic Theory ◽  
Decision Making Behavior

In the early twentieth century, neoclassical economic theorists began to explore mathematical models of maximization. The theories of human behavior that they produced explored how optimal human agents, who were subject to no internal computational resource constraints of any kind, should make choices. During the second half of the twentieth century, empirical work laid bare the limitations of this approach. Human decision makers were often observed to fail to achieve maximization in domains ranging from health to happiness to wealth. Psychologists responded to these failures by largely abandoning holistic theory in favor of large-scale multi-parameter models that retained many of the key features of the earlier models. Over the last two decades, scholars combining neurobiology, psychology, economics, and evolutionary approaches have begun to examine alternative theoretical approaches. Their data suggest explanations for some of the failures of neoclassical approaches and revealed new theoretical avenues for exploration. While neurobiologists have largely validated the economic and psychological assumption that decision makers compute and represent a single-decision variable for every option considered during choice, their data also make clear that the human brain faces severe computational resource constraints which force it to rely on very specific modular approaches to the processes of valuation and choice.

scholarly journals Crude oil maritime transportation: Market fluctuation characteristics and the impact of critical events

2020 ◽  
Vol 6 ◽  
pp. 518-529
Author(s):  
Yijie Fei ◽  
Jihong Chen ◽  
Zheng Wan ◽  
Yaqing Shu ◽  
Lang Xu ◽  
...  
Keyword(s):  
Crude Oil ◽  
Maritime Transportation ◽  
Critical Events ◽  
The Impact

scholarly journals Well-to-tank carbon emissions from crude oil maritime transportation

2020 ◽  
Vol 88 ◽  
pp. 102587
Author(s):  
Suzanne Greene ◽  
Haiying Jia ◽  
Gabriela Rubio-Domingo
Keyword(s):  
Crude Oil ◽  
Carbon Emissions ◽  
Maritime Transportation

scholarly journals Periodicity of world crude oil maritime transportation: Case analysis of Aframax Tanker market

2019 ◽  
Vol 25 ◽  
pp. 47-55 ◽  
Author(s):  
Jihong Chen ◽  
Kai Xue ◽  
Li Song ◽  
Jack Xunjie Luo ◽  
Ye Mei ◽  
...  
Keyword(s):  
Crude Oil ◽  
Case Analysis ◽  
Maritime Transportation

Analysis of Multiple Objectives in Oregon Coho Salmon Policy

1983 ◽  
Vol 40 (5) ◽  
pp. 580-587 ◽  
Author(s):  
K. D. Walker ◽  
R. B. Rettig ◽  
R. Hilborn
Keyword(s):  
Coho Salmon ◽  
Multiple Objectives ◽  
Decision Makers ◽  
Decision Variable ◽  
Utility Analysis ◽  
Harvest Rate ◽  
Effective Policy ◽  
Main Components ◽  
Multiattribute Utility Analysis ◽  
Selection Of

Our objective was to determine whether formal decision analysis could assist fishery managers in Oregon to evaluate alternative strategies with respect to allocation and production of wild and hatchery coho salmon. The method chosen given multiple objectives and uncertainty is multiattribute utility analysis. The analytical model consists of two main components: (1) a computer model that simulates the life cycle of hatchery and stream spawning coho salmon given environmental variation, different hatchery juvenile release levels, and harvest rates and (2) an objective function that evaluates the aggregate levels of catch and escapement resulting from alternative release levels and harvest rates. The approach was used to rank the expected outcomes from 12 proposed policies. We concluded that (1) the most effective policy is achieved with a relatively low harvest rate and high smolt release level, (2) selection of a particular harvest rate is the most important decision variable, and (3) a large smolt release level can be maintained unless such releases adversely decrease the ocean survival of stream spawning coho. If the agency is to be significantly helped, the analysis must be expanded to involve a larger number of decision makers, incorporate additional objectives such as catch variability, and include a finer level of detail in the simulation model.

Translating Scientific Knowledge to Government Decision Makers Has Crucial Importance in the Management of the COVID-19 Pandemic

2020 ◽  
Author(s):  
Katalin Gombos ◽  
Róbert Herczeg ◽  
Bálint Erőss ◽  
Sándor Zsolt Kovács ◽  
Annamária Uzzoli ◽  
...  
Keyword(s):  
Scientific Knowledge ◽  
Decision Makers ◽  
Crucial Importance ◽  
Government Decision

Network Design for Shipping Service of Large-Scale Intermodal Liners

2012 ◽  
Vol 2269 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Qiang Meng ◽  
Shuaian Wang ◽  
Zhiyuan Liu
Keyword(s):  
Network Design ◽  
Large Scale ◽  
Programming Model ◽  
Transportation Network ◽  
Liner Shipping ◽  
Maritime Transportation ◽  
Mixed Integer ◽  
Hub And Spoke ◽  
Shipping Company ◽  
Proposed Model

A model was developed for network design of a shipping service for large-scale intermodal liners that captured essential practical issues, including consistency with current services, slot purchasing, inland and maritime transportation, multiple-type containers, and origin-to-destination transit time. The model used a liner shipping hub-and-spoke network to facilitate laden container routing from one port to another. Laden container routing in the inland transportation network was combined with the maritime network by defining a set of candidate export and import ports. Empty container flow is described on the basis of path flow and leg flow in the inland and maritime networks, respectively. The problem of network design for shipping service of an intermodal liner was formulated as a mixed-integer linear programming model. The proposed model was used to design the shipping services for a global liner shipping company.

scholarly journals Labor and the Political Leadership of New Deal America

1994 ◽  
Vol 39 (3) ◽  
pp. 335-360 ◽  
Author(s):  
David Montgomery
Keyword(s):  
Democratic Party ◽  
Social Insurance ◽  
Decision Makers ◽  
Corporate Management ◽  
Secondary Schooling ◽  
Government Decision ◽  
Labor Militancy ◽  
The Relationship ◽  
Governmental Response ◽  
Work Relief

SummaryThis essay examines the relationship between popular initiatives and government decision-makers during the 1930s. The economic crisis and the reawakening of labor militancy before 1935 elevated men and women, who had been formed by the workers' movement of the 1910s and 1920s, to prominent roles in the making of national industrial policies. Quite different was the reshaping of social insurance and work relief measures. Although those policies represented a governmental response to the distress and protests of the working class, the workers themselves had little influence on their formulation or administration. Through industrial struggles, the Committee for Industrial Organization (CIO) mobilized a new cadre, trained by youthful encounters with urban ethnic life, expanding secondary schooling and subordination to modern corporate management, in an unsuccessful quest for economic planning and universal social insurance through the agency of a reformed Democratic Party.

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