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RISS 인기검색어
- 검색키워드
- 저자 : Haiju Hu (검색결과 5 건)
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Value of Information Sharing in Inventory Management of Maintenance Spare Parts
Haiju Hu,Yongjian Li,Xinjiang Cai 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.7
This study uses the system dynamics tool Vensim to conduct simulation on two different types of maintenance spare parts information sharing models (i.e. the inter-user joint maintenance spare parts management model and the supplier-involved joint maintenance spare parts management model) as well as the spare parts management model without the implementation of information sharing. By comparing the change of revenues of both the supply and the demand sides before and after the implementation of information sharing, as well as under different information sharing models, we propose the optimal way of information sharing, and also contribute managerial implications for the implementation of information sharing in maintenance spare parts inventory management.
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C-R-D Risk and Measurement Model of Complex Supply Chain Network in Industry Cluster
Haiju Hu,Shu Bo,Wang Peng 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8
Industry cluster and complex network of supply chain are frontier theoretical issues. Based on literature review, this study explains C-R-D risk of complex network of supply chain in industry cluster, and puts forward congestion risk, rigescence risk, decline risk and their transmission mechanism. Considering in the perspective of network evolution, there exists mutual and enhancing transmission mechanism among the three kinds of risks. Meanwhile, DRSC measurement model is established based on the theory of complex network, which can reflect the risk influence on complex network of supply chain in industry cluster; node congestion degree, channels congestion degree and same industry suppliers congestion degree are brought forward in order to measure the degree of congestion risk; external occlusion degree and inner occlusion degree are established in order to measure the degree of rigescence risk; average rate of decline and scale in network are defined in order to measure the degree of decline risk. Based on 87network of supply chain in a given industry cluster.
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False Information Diffusion in Public Crisis on Interpersonal Network and Intervention Strategies
Zhu Xiaoxia,Hao Jiajia,Hu Haiju 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.10
With the development of economy, the public crisis has been increasing frequently and false information took shape because of the public’s assentation and lack of recognition. The diffusion of false information has intensified the public panic and anxiety. Beside, it may cause secondary damage easily. Therefore, the management department of false information in public crisis information should control the diffusion of the false information quickly in order to reduce the loss. By the diffusion of the network of false information in public crisis based on the scale-free network (BA), this paper defines the nature of each social individual from the perspective of multi-agent. On the basis of these properties, this paper defines the individual opinion interaction rules when communicating. The research concludes that active individuals of information diffusion on interpersonal network are not the people with a great amount of friends, but the ones who have few friends. Nevertheless, the management department of false information in public crisis should maintain a circuitous neutral attitude rather than the “all-or nothing” coercive measures when intervene the diffusion process of the false information diffusion. Besides, the influencing social individuals are the “opinion leaders” who have a wide range of interpersonal communication.
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Bo Shu,Shan Lu,Haiju Hu 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
With the development of cloud computing, big data, Internet of things, the traditional logistics industry integration of the Internet. It gave birth to a variety of business models and Shared prosperity. It has discovered the dynamic factors of logistics industry in Jing-Jin-Ji region (Beijing, Tianjin and Hebei region) were related to the regional network, industry integration and business innovation, etc. This article, based on the investigation of "the networked logistics industry" in Beijing, Tianjin, Hebei, influence elements of logistics industry,established the model of combination of the dynamics.The model reflected the network in the process of logistics industry,which including four dimensions :the logistics industry benefit, scale of logistics, the logistics demand and logistics network resources, to simulate the trend of the logistics industry network. In addition, It observed the dynamic effect of the four-dimensional one completely changed. It has been found that the influence of scale of logistics efficiency and logistics more network logistics industry in Jing-Jin-Ji. But it is not obvious, the influence of the network resources, the logistics demand of network logistics industry in Jing-Jin-Ji area.
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