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Risk Management for Auto Technology Innovation
Zhiqiang Luan 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
In this pater, we present the research meaning of auto technology innovation risk management, introduce the concerning conceptions of technology innovation risk, of which the influencing factors are raised on the basis, and systematically stated the features of auto technology innovation and the reasons of risk. Then infer a decision-making model to effectively offend the technology innovation risk-the Risk Analysis Model of Auto Technology Innovation (RAMATI), of which it indicates the lockup system on auto technology innovation risk to make use. Finally, give some suggestion to the risk prevention in auto technology innovation, which can provide a useful and helpful foundation on offernding risk in the process of auto technology innovation, and can be adopted as a valuable reference for relevant companies.
Yingfang Fan,Zhiqiang Hu,Haiyang Luan,Dawei Wang,An Chen 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.1
This paper studies the behaviour of deteriorated reinforced concrete (RC) beams attacked by various forms of simulated acid rain. An artificial rainfall simulator was firstly designed and evaluated. Eleven RC beams (120 mm×200 mm×1800 mm) were then constructed in the laboratory. Among them, one was acting as a reference beam and the others were subjected to three accelerated corrosion methods, including immersion, wetting-drying, and artificial rainfall methods, to simulate the attack of real acid rain. Acid solutions with pH levels of 1.5 and 2.5 were considered. Next, ultrasonic, scanning electron microscopy (SEM), dynamic, and three-point bending tests were performed to investigate the mechanical properties of concrete and flexural behaviour of the RC beams. It can be concluded that the designed artificial simulator can be effectively used to simulate the real acid rainfall. Both the immersion and wetting-drying methods magnify the effects of the real acid rainfall on the RC beams.
Fan, Yingfang,Hu, Zhiqiang,Luan, Haiyang,Wang, Dawei,Chen, An Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.52 No.1
This paper studies the behaviour of deteriorated reinforced concrete (RC) beams attacked by various forms of simulated acid rain. An artificial rainfall simulator was firstly designed and evaluated. Eleven RC beams ($120mm{\times}200mm{\times}1800mm$) were then constructed in the laboratory. Among them, one was acting as a reference beam and the others were subjected to three accelerated corrosion methods, including immersion, wetting-drying, and artificial rainfall methods, to simulate the attack of real acid rain. Acid solutions with pH levels of 1.5 and 2.5 were considered. Next, ultrasonic, scanning electron microscopy (SEM), dynamic, and three-point bending tests were performed to investigate the mechanical properties of concrete and flexural behaviour of the RC beams. It can be concluded that the designed artificial simulator can be effectively used to simulate the real acid rainfall. Both the immersion and wetting-drying methods magnify the effects of the real acid rainfall on the RC beams.
Regressopn Analysis of Customer Perception on Automobilie Consumption Decison Making Model
Yun Liu,Wenjing,Ruixiz Gao,Zhiqiang Luan 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
With China’s economic development, the automobile market gradually moves towards a mature and highly competitive situation; therefore, business must turn to customer approach rather than product approach. Accordingly it is very necessary to study the customer perceptions in the decision-making process, which can help manufactures and dealers to meet the needs of target market with more suitable strategies and effective services. In this paper, the study use automobile Consumption Decision Model as basic study structure, also contacts Chinese customer psychology characteristics to conduct the regression analysis of customer perception. At last, this paper provides certain advices and guidance about guidance about risk management and data mining by analyzing customer perception