Construction of System Dynamics Model on Service Strategy and Resource Management

2013 ◽  
Vol 284-287 ◽  
pp. 3662-3666
Author(s):  
Tian Syung Lan ◽  
Chao Hua Kuo ◽  
Chu Ching Liang

Competitiveness of a company has been based on the ability of locating and solving the com-mercial troubles more quickly and effectively than other competitors. For small and medium-sized enterprises (SMEs), it is necessary to expand the boundaries of the traditional organizations and promote across-domain knowledge in different industries. Thus, the opportunities of industrial in-novation can be increased, and the bright future of the industry can also be confirmed. In Taiwan, there are numerous SMEs in various industries. Conducting and researching in resource conservation service innovation technology and transforming system are deemed to be important for modern enterprises. This research was aimed at building a service-oriented system for saving the energy and reducing discharges to perform a new mechanism of resource conservation services for SMEs. The project “Construction of System Dynamics Model on Service Strategy and Resource Management” was aimed to assist “Wai Cheong Electrical Engineering Co., Ltd.”at Chung Hsing Industry Park in Miaoli. The System Dynamics was primarily introduced into this project for per-formance analysis, so that the proposed performance evaluation model could be formulated. With the performance evaluation on the indicators, the overall performance structure was clarified as well. After the reliability analysis of the proposed model was verified, the data provided dynamic results on demand forecasting, quality control, and marketing management for decision making. Then, the effectiveness would be practically adjusted for different quality levels to predict the actual need. It’s the essential way to recognize the cost variation and observe other parameters of the marketing strategy. The strategy was effective to achieve the goals of removing the strategic planning con-straints and reducing resource consumption caused by improper decisions. In conclusion, the con-struction of this model would enhance the opportunity to succeed and achieve in the company’s op-timum profits when confronting the current dynamic and competitive market environment.

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1062 ◽  
Author(s):  
Sleemin Lee ◽  
Doosun Kang

The increasing frequency of extreme droughts and flash floods in recent years due to climate change has increased the interest in sustainable water use and efficient water resource management. Because the water resource sector is closely related to human activities and affected by interactions between the humanities and social sciences, there is a need for interdisciplinary research that can consider various elements, such as society and the economy. This study elucidates relationships within the social and hydrological systems and quantitatively analyzes the effects of a multi-purpose dam on the target society using a system dynamics model. A causal loop was used to identify causal relationships between the social and hydrological components of the target area, and a simulation model was constructed using the system dynamics technique. Additionally, climate change and socio-economic scenarios were applied to analyze the future effects of the multi-purpose dam on population change, the regional economy, water use, and flood damage prevention in the target area. The model proved reliable in predicting socio-economic changes in the target area and can be used to make decisions about efficient water resource management and water-resource-related facility planning.


Author(s):  
Jianbo Yang ◽  
Xin Li ◽  
Qunyi Liu

Copper demand for a country's copper industry has a greater pull effect. China's copper consumption in 2015 has accounted for 50% of the world. The scientific forecast of China's copper demands trend is also an important basis for analyzing its future environmental impact. This paper assumes that China's economy will be developing high, medium and low scenarios, and forecasts economic and social indicators such as total GDP, population and per capita GDP in China from 2016 to 2030. Then, predicted the demand of copper resources in China from 2016 to 2030 by the combination of system dynamics model, vector autoregressive moving average model and inverted U-type empirical model. The results show that: (1) in 2020, 2025 and 2030, China's refined copper demand will be 13 Mt, 15 Mt and 15.5 Mt. (2) China's copper demand growth slowed down significantly from 2016-2030. (3) 2025-2030, China's copper resource demand is stable, into the platform of demand growth, the highest peak value in 2027 will be 15.5 Mt. (4) 2030 years later, China's copper resource demand will enter a slow decline.


2017 ◽  
Vol 23 (2) ◽  
pp. 236-252 ◽  
Author(s):  
Yujiro Wada ◽  
Kunihiro Hamada ◽  
Noritaka Hirata ◽  
Kazutaka Seki ◽  
Shinji Yamada

2014 ◽  
Vol 535 ◽  
pp. 440-445
Author(s):  
Sheng Na Yang ◽  
Hua Guo ◽  
Yan Li ◽  
Jun Liang Liu

With the continuous development of city, urban water consumption is continuously increasing. But the earth's fresh water resources are limited. If you want to meet the urban development increases the amount of water, you must forecast for urban water demand in the future, water demand prediction is also should be formed. This research mainly adopts the method of system dynamics to predict the water demand of city over the next decade. Forecast of water demand to get accurate effective demand in the future by establishing a system dynamic model, which accuracy should tested and verified.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhou Huiping ◽  
Yang Yuxin

Acquiring and combining heterogeneous knowledge resources across organizational boundaries are an important path for the success of enterprises’ innovation. From the perspective of the relation attributes between knowledge elements, this paper divides knowledge cross-border searching into two types: domain knowledge searching and architectural knowledge coupling searching. Then, we construct a system dynamics model and use Vensim PLE software to carry out simulation analysis to explore the differential mechanisms of knowledge cross-border searching influence firms’ dual innovation in the context of digital transformation. The analysis results show that domain knowledge searching positively affects firms’ iterative innovation, while there is an inverted U-shaped relationship between architectural knowledge searching and firms’ disruptive innovation, indicating that different types of knowledge cross-border searching have differential effects on firms’ dual innovation. The simulation results also address that digital resources can promote enterprises' dual innovation in the process of knowledge cross-border searching. The research results reveal that the internal laws of knowledge cross-border searching affect enterprises' dual innovation in the context of digital transformation and provide a theoretical reference for enterprises to effectively use digital technology to adopt knowledge searching activities.


2010 ◽  
Vol 20 (2) ◽  
pp. 59-62
Author(s):  
Patrick Einzinger ◽  
Günther Zauner ◽  
G. Ganjeizadeh-Rouhani

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