Analysis on key factors of container seamless transportation operating based on system dynamics

Author(s):  
Wu Huirong ◽  
Zhu Xiaoning
Keyword(s):  
2011 ◽  
Vol 314-316 ◽  
pp. 487-491
Author(s):  
Xian Zhang

The influence brought by the granularity of task decomposition on the key factors of enterprise aliance was studied based on system dynamics method. These factors includs inter-restriction, product manufacturing time, collaboration fee, Alliance leader benefit, capability and compatibility. Causality diagram and system dynamics model were established for these factors. This paper also developed a simulation program for the granularity of task decomposition based on the system dynamics model and validated the effectiveness of the proposed model by a qualitative analysis. The results show that it is a workable method to research the granularity of task decomposition in enterprise aliance using system dynamics theory.


Author(s):  
Nasim S. Sabounchi

ABSTRACT ObjectivesAs estimated there are about 5.3 million who suffer from Alzheimer’s disease in United States. The incidence is increasing as the population is aging. Due to the increasing trend of Alzheimer’s disease, there is a lot of discussion on prevention efforts or slowing the incidence. Also, models that could predict individual risk of cognitive impairment are needed to assist in prevention efforts.  In general dementia development has been associated with growth in various vascular, lifestyle and other risk factors. Epidemiological research provides evidence of some vascular, lifestyle and psychological risk factors that are modifiable and protective of disease incidence either independently or while interacting with other factors. However, as reported by National Institute of Aging, it is not yet clear whether health or lifestyle factors can prevent Alzheimer’s disease. The objective of this research project is to adopt a system dynamics modeling approach to study the interaction of several key factors including vascular, lifestyle and psychological aspects over the life course of individuals, to gain further understanding of Alzheimer’s disease incidence and evaluate prevention strategies. Both datasets of ‘Alzheimer's Disease Neuroimaging Initiative (ADNI)’ and ‘Health and Retirement Study (HRS)’ will be used for model development and validation. ApproachA system dynamics approach is an optimal choice for addressing the goal of this proposal because different key factors interact over time and make Alzheimer’s disease incidence a complex problem. Furthermore, system dynamics approaches focus on understanding the relationship between the structure of a system and the resulting dynamic behaviors generated through multiple interacting feedback loops. Such an approach could be invaluable in studying dynamic problems arising in complex health, social, economic, or ecological systems. ResultsFor the purpose of the proposal, the following stages are planned:1. Develop a system dynamics simulation model at individual level that predicts the Alzheimer’s disease incidence over the life course, and aggregates individual level models to predict population level trends 2. Calibrate the resulting simulation model based upon longitudinal data trends employed from Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Both cohorts with Alzheimer’s disease and control subjects from this database will be used to fine-tune the simulation model. ConclusionThe final validated model would be used to test different hypotheses and evaluate various strategies and/or their combinations to help evaluate the efficacy of prevention strategies on Alzheimer’s disease incidence and its growth.


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jianghua Gao ◽  
Limin Jia ◽  
Jianyuan Guo

A macroscopic passenger flow simulation model based on system dynamics is proposed in this paper. It considers the key factors influencing the dynamics of passenger flow from a holistic perspective of the stations and then models the dynamic change in the number of passengers. Firstly, the transmission of passenger flow for a general many-to-many relation between nodes are presented. When the sum of sending capacities heading for a downstream node is less than the receiving capacity of this node, the aggregation of stranded passengers will form the queuing part of the node. The results coming from a passenger flow simulation of a subway station in Beijing show that the proposed model performs well by comparing it with the real data. It can be applied to describe the dynamic change in the number of passengers and the level of service for the facilities.


2011 ◽  
Vol 55-57 ◽  
pp. 898-903
Author(s):  
Xian Zhang

In this paper the key factors of the enterprise alliance running status were studied based on system dynamic theory. These factors include intrinsic restraint, achievement, core competencies and compatibility. A causality diagram and a system dynamic model which can reflect the growing process of enterprise alliance running phase were established. A program simulating the system dynamic model of the enterprise alliance running phase is also achieved, and the validation was infered by a qualitative analysis. The results show that it is a workable method to study the enterprise alliance running status with system dynamic theory.


2011 ◽  
Vol 105-107 ◽  
pp. 583-586
Author(s):  
Qin Yin ◽  
Bo Dong

According to the statistics and analysis of the situation that administrative decrees reference technical standard, this paper find that there are several conclusive interactive relations between these two terms. Paper simulate the inner mechanism of the relationship between technical standard and administrative decree in the way of system dynamics and identify the key factors which has great impact on the correlation, point that there are three associated states of "strong, weak, zero" between technical standard and administrative decree and give the way of how to define them. Finally it makes a conclusion in the paper that we should construct an appropriate correlation depending on their needs.


2020 ◽  
Vol 12 (8) ◽  
pp. 3297
Author(s):  
Yongli Wang ◽  
Shanshan Song ◽  
Mingchen Gao ◽  
Jingyan Wang ◽  
Jinrong Zhu ◽  
...  

In the context of China’s electric power reform, issued in May 2019, the “Transmission and Distribution Pricing Supervision Measures” have changed asset accounting in grid enterprises and therefore affected cost accounting in grid projects. This paper proposes a dynamic cost calculation model based on system dynamics and takes a power grid company as an example. On this basis, a sensitivity analysis of power grid engineering was conducted to determine the impacts of key factors of power reform on life cycle cost (LCC). Finally, suggestions for cost accounting and cost management were proposed.


2020 ◽  
Vol 10 (3) ◽  
pp. 903 ◽  
Author(s):  
Mario Di Nardo ◽  
Marianna Madonna ◽  
Teresa Murino ◽  
Francesco Castagna

In a safety management system (SMS), risk management plays a key role for the prevention of accidents. This study aims to propose a safety management model by using a system dynamics approach applied to the Bhopal incident. The model proposed in this paper discusses the relationships among the main causes that have contributed to the occurrence of the incident studied, such as broken safety devices, inadequate personnel experience, operator decisions, manager production strategy, policy decision, as deduced from the relevant literature about the Bhopal incident dynamics. The simulation and the results clarify how to manage the key factors to make the plant safe. Moreover, we want to underline how these key modern aspects of safety could be enhanced by using the enabling technologies of industry 4.0.


2020 ◽  
Vol 9 (1) ◽  
pp. 1-17
Author(s):  
Nayara Teixeira Santos ◽  
Gisele Tessari Santos ◽  
Washington Santos Silva ◽  
Wanyr Romero Ferreira

The use of system dynamics techniques to model the sales and operations planning (S&OP), associated with the economic and financial processes, is an innovative proposal. The objectives of this article are to model and simulate the S&OP process integrated with the financial management in a Brazilian lime processing industry, based on the system dynamics approach. Initially, the model was validated. Then, over twenty scenarios were simulated to assess the behavior of the system with its key factors variation. In the microenvironment scenarios, the company's internal perspective was the only element taken into account. In turn, regarding the macro environment scenarios, the basis was the projection of lime consumption related to the country's GDP. The results have genuinely contributed to the industry researched, since the lime processing industry is struggling with obtaining enough supply due to lime acquisition price fluctuations and, consequently, the oscillation of its production costs.


2012 ◽  
Vol 608-609 ◽  
pp. 759-763
Author(s):  
Chen Li ◽  
Li Sha Zhou ◽  
Ming Zeng

The impact of wind power integration on power market is complex and time-dependent, and can be reflected by some key factors with causal feedback relationships. First, the System Dynamics feature of the impact of wind power integration on power market is analyzed; second, according to the causal feedback relationships among the key factors, the System Dynamics model of the impact of wind power integration on power market is established; on this basis, under the scenario of wind power integrated capacity increasing, the impacts of wind power integration on the power supply and demand, power price and costs in power market are dynamically simulated, and the validity of the System Dynamics model in this paper is verified.


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