Optimization of Multi-Objective Dispatching for Emergency Rescue in Chemical Enterprises

Haoxue Wang ()
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Haoxue Wang: Liaoning University of Engineering and Technology, College of Business Administration

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 797-806 from Springer

Abstract: Abstract With the continuous development of chemical industry, the number and scale of chemical enterprises are increasing, but it also leads to the frequent occurrence of chemical accidents, and the complexity and specificity of the production environment makes it easy for the domino effect to occur after the accident, thus causing derivative accidents. Therefore, it is of great significance for chemical enterprises to establish an efficient and reasonable emergency material dispatching strategy. In order to enhance the scientific nature of the enterprise emergency material dispatching strategy after an accident, effectively reduce the loss of the enterprise after an accident and enhance the comprehensive competitiveness of the enterprise. This paper takes enterprise emergency material dispatching as the research object and uses the multi-criteria decision-making method to study the enterprise emergency material dispatching strategy. The specific process is as follows: according to the problem of the enterprise emergency dispatching model, the emergency material dispatching model to maximize time, demand and cost satisfaction is constructed, and the dispatching optimization analysis is carried out in combination with the typical accident of the enterprise, and the comparison with the original processing results of the enterprise shows that the results of the model constructed in this paper are substantially better than the results of the enterprise in terms of time, demand and cost satisfaction. It is beneficial to prevent the occurrence of the enterprise’s derivative accidents and effectively guarantee the dispatch of the enterprise’s emergency materials.

Keywords: emergency supplies; prioritization; scheduling optimization; multi-objective planning; particle swarm algorithm (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_80

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