Emergency demand processing framework

Through the emergency demand processing framework, the type and scope of demand are determined, response strategies are formulated and execution plans are implemented, and participants are selected using the principle of minimum delay. This solves the problem of inefficiency in traditional emergency demand processing and achieves rapid response and efficient delivery.

CN120654983APending Publication Date: 2025-09-16YUNNAN TOBACCO CORP QUJING BRANCH
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Patent Information

Application Number
CN202510557729.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2025-09-16

AI Technical Summary

Technical Problem

Traditional emergency demand handling methods have slow response speeds, unsystematic processes, unreasonable resource allocation, high communication costs, chaotic priority management, insufficient risk control, and difficulty in cross-departmental collaboration, and cannot meet the requirements of modern enterprises for rapid response and efficient delivery.

Method used

Provides an emergency demand processing framework, including determining the type and scope of emergency demand, formulating response strategies, executing response plans and continuously monitoring the effects. By obtaining the business party's dispatch load and delay data, the optimal response time is calculated, participants are selected according to the principle of minimum delay, demand response load shedding operations are carried out, and strategies are continuously optimized.

Benefits of technology

Improve the efficiency and quality of emergency demand handling, ensure rapid response and efficient delivery, and optimize deficiencies in response plans by quantitatively evaluating iterative demand and continuously monitoring the effects.

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Abstract

The invention discloses an emergency demand processing framework. The framework comprises the following steps: S1, determining the type and range of an emergency demand; s2, determining a response strategy according to the type and range of the emergency demand; s3, making a response plan according to the response strategy; s4, executing the response plan according to the response plan; s5, in the response plan execution process, the response effect needs to be continuously monitored, the difference needs to be found out, and a corresponding optimization strategy needs to be formulated. The optimal response time is calculated by obtaining the scheduling load and scheduling delay data information of the service party participating in the emergency demand response, and the user participating in the emergency demand response is selected according to the minimum delay principle; the demand response load shedding operation is realized according to the demand response participation minimum criterion, so that the effect that the user participates in the vpp scheduling service can be effectively improved, the total iteration demand is evaluated in a quantitative mode, the demand effect is continuously tracked and monitored after the demand is online, the gap is found out, and the corresponding optimization strategy is formulated.
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