Research from Institute of Software Provides New Study Findings on Risk Management (Emergency logistics scheduling with multiple supply-demand points based on grey interval): Insurance – Risk Management

2022 JUN 07 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on risk management. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “This paper aims to address the problem of post-disaster emergency material dispatching from multiple supply points to multiple demand points.”

Funders for this research include University of The Chinese Academy of Sciences; National Key Research And Development Program of China; National Natural Science Foundation of China.

The news reporters obtained a quote from the research from Institute of Software: “In the case of large-scale natural disasters, it is very important for multiple emergency material supply points to serve as the source of material supply for multiple disaster sites and to accurately determine the emergency material scheduling solutions. Moreover, the quantity of emergency materials required for each disaster site is uncertain. To address this issue, in this work, we mainly present an emergency material scheduling model with multiple logistics supply points to multiple demand points based on the grey interval number. Aiming at the multi-supply points and multi-demand points emergency material scheduling model proposed, a multi-objective optimization algorithm based on the genetic algorithm is adopted to optimize the multi-objective scheduling model. The experimental results show that the multi-objective optimization method can solve the emergency logistics scheduling problem better than the particle swarm multi-objective solution algorithm.”

According to the news editors, the research concluded: “At the same time, the multi-supply points and multi-demand points emergency material dispatch model and optimization algorithm provide robust support for emergency management system decision-makers when they need to respond quickly to disaster relief activities.”

For more information on this research see: Emergency logistics scheduling with multiple supply-demand points based on grey interval. Journal of Safety Science and Resilience, 2022,3(2):179-188. The publisher for Journal of Safety Science and Resilience is KeAi Communications Co., Ltd.

A free version of this journal article is available at https://doi.org/10.1016/j.jnlssr.2022.01.001.

Our news journalists report that more information may be obtained by contacting Zhiming Ding, Institute of Software Chinese Academy of Sciences, Beijing, 050052, People’s Republic of China. Additional authors for this research include Xinrun Xu, Shan Jiang, Jin Yan, Yanbo Han.

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