Some emergencies have produced enormous changes in market demand in recent years as the economy has progressed. The supply chain’s capacity to adapt to this market demand has a substantial impact on the company’s future growth. As the frequency of emergencies rises, emergency management is becoming increasingly critical for enterprises. This article examines the responsiveness and profit status of the supply chain under the three conditions of total complete information symmetry, incomplete information symmetry, and information asymmetry based on the information sharing degree of supply chain firms. The research offers a novel approach to emergency management. It makes recommendations for how the company may share information to improve its emergency management capabilities. Finally, the feasibility of the model is verified and analyzed by a case.

In order to effectively manage the communication nodes in Mobile Ad Hoc Network (MANET), it is important to know the topology of such networks. Traditional Ad-hoc Ondemand Distance Vector (AODV) protocol can not get the MANET topology due to the lack of the topology discovery mechanism. Aiming at this problem, an enhanced topology discovery algorithm based on AODV (AODV-TD) is proposed.AODV-TD can not only obtain the topology of dynamic network by topology discovery request, but also realize route discovery among nodes. Finally, the proposed algorithm is implemented on a hardware platform using CC1100, and the experiment results show that, even the network changes dynamically, AODV-TD can still discover the network topology rapidly and accurately, so that contribute to reducing the route discovery time and the RREQ forwarding packets.