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1.
Chinese Medical Equipment Journal ; (6): 36-40, 2017.
Article in Chinese | WPRIM | ID: wpr-617193

ABSTRACT

Objecive To explore modern management and optimization of hospital warehouse slotting with some class A tertiary hospital taken as an example.Methods EIQ_ABC classification method,multi-objective assignment model and genetic algorithm were used to analyze and simulate the data of 126 kinds of medical devices for 20 orders.Results The medical devices were divided into nine categories of Ⅰ A,Ⅰ B,Ⅰ C,Ⅱ] A,Ⅱ B,Ⅱ C,Ⅲ A,Ⅲ B and Ⅲ C.It's suggested that emphasized management and precision slotting storage were carried out for A categories of devices,dedicated storage for B categories and random storage for C categories.At the same time,the layout of the warehouse was optimized according to the importance of the goods so that the important goods were placed near the passageway.Slotting analog simulation diagram was obtained based on multi-objective assignment model of Ⅲ A category medical device.Conclusion Classified management and allocation as well as slotting optimization of medical devices contribute to improving hospital modern management in efficiency,cost and error rate.

2.
Academic Journal of Second Military Medical University ; (12): 532-536, 2011.
Article in Chinese | WPRIM | ID: wpr-840062

ABSTRACT

Objective: To optimize the allocation scheme of military medical equipments based on the characteristics of modern war and the progression of the military medical equipment of People's Liberation Army (PLA). Methods: Aiming to optimize the allocation of military medical equipment, we designed the integrated framework of the allocation system and analyzed the need of optimized allocation. Using the linear programming and queuing theory, we established the optimized allocation models for both medical treatment equipments and evacuation equipments. Results: Based on the health service characteristics of military medical equipments, the optimized allocation models for medical treatment equipments and evacuation equipments were successfully established. The application of the established models was studied in the medical service station of the division level. Conclusion: The optimized allocation scheme of military medical equipment has been proposed in the present study, which provides evidence for decision-making on the future development of military medical equipments of PLA.

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