The propagation of vaccine information plays an important role in the spread of infectious diseases. Scholars have researched in-depth the spread of infectious diseases or focused on the differential model that only considers the characteristics of infectious diseases themselves. Little attempt has been given on the dynamic analysis of infectious diseases based on the vaccination rate depending on information. This paper primarily explores a delayed epidemic model with information-dependent vaccination, which addresses increasing the concept of propagation delay on the basis of the model in Alberto et al (2007 Theor. Population Biol. 71 301–17). Theoretical analysis reveals the local stability and Hopf bifurcation, the global stability and the optimal control of our epidemic model. Finally, numerical simulations verify the theoretical results and analyze the influence of time delay on the transmission characteristics of our model.

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It’s a sort of safety management strategy of setting safety signs in production site in order to make people be alert and evade danger by transmitting dangerous signal. Based on the reviews of traditional cognitive process models such as C-HIP model and information communication model, combining the theoretical results of emerging Neuro-IE, this paper provides a cognitive process model (3N-Model) of safety sign on the basis of Neuro-IE, explains the model and gives a number of management inspirations by combining with the model.

With the development of science and technology, traditional Industrial Engineering (IE) gradually intersects with newly established Cognitive Neuroscience, Neuro-IE appears as a result. Means of Cognitive Neuroscience and Physiopsychology are mainly adopted in Neuro-IE and a great deal of research is done in many areas of production management and safety production, design of man-machine system and mentality, etc. Relevant results will show people a deep understanding of men’s decision-making and brain function and bring IE into Neuroscience, which plays an important role in scene design, production design, safety production et al.

The acquiring and sharing of tacit knowledge depend on social network mostly, as tacit knowledge of project team refers to collaboration and communication, knowledge management based on IT can’t manage it effectively. On the basis of introduction of Social Network Analysis (SNA), this paper applies it into tacit knowledge management. The result indicates that SNA can describe network structure of tacit knowledge of project team, discover problems which cumber tacit knowledge management, and promote tacit knowledge management of project team.