Hospital logistics purchase inventory management method and system based on artificial intelligence

Abstract

The invention discloses a hospital logistics purchase inventory management method and system based on artificial intelligence, and relates to the technical field of hospital logistics and supply chain management, and the method comprises the steps: constructing a CIVS matrix, calculating a dynamic EOQ, adjusting the EOQ based on the CIVS matrix, calculating an ordering period, and setting a hospital logistics purchase safety inventory. Artificial intelligence provides an optimal supplier for a hospital manager through multi-standard decision analysis; the method comprises the following steps: constructing a MaMPA multi-objective optimization purchasing scheme, introducing low-carbon environmental protection constraints, initializing a prey population, setting three iteration stages, randomly introducing an FADs effect after each stage, calculating a non-dominated sorting and a congestion degree mechanism by an iteration process to determine hunters, and selecting an optimal scheme by using a fuzzy decision; the whole process of automatic replenishment and purchase order generation of hospital logistics purchase inventory management is executed artificially, and the scientificity and optimization degree of purchase decision are improved by constructing a CIVS matrix, enhancing the flexibility and adaptability of a supply chain, constructing a MaMPA multi-objective optimization purchase scheme and introducing low-carbon environmental protection constraints.

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