Application research of extended NEH algorithm based on flow scheduling problem in discrete scheduling optimization of medical consumables

Methods Thoroughly analyze the scheduling needs of medical consumables in hospitals, predict the demand for medical consumables in each department, construct a discrete scheduling optimization model for medical consumables, determine the constraint conditions for building the model (residual coefficient matrix, efficiency constraint matrix, and time window function), and solve the discrete scheduling optimization model for medical consumables based on the extended NEH algorithm.

Result Comparing the data analysis before and after the experiment, it was found that the discrete scheduling time and cost of medical consumables in experimental departments have decreased to varying degrees, and the differences are statistically significant (all P<0.05).

Conclusion Through experiments, it is known that the optimized medical consumables discrete scheduling scheme proposed meets the requirements of discrete scheduling time and cost, providing better solution support for hospital medical consumables discrete scheduling.