Lot-size models with uncertain demand considering its skewness/kurtosis and stochastic programming applied to hospital pharmacy with sensor-related COVID-19 data

Article

Abstract: Governments have been challenged to provide timely medical care to face the COVID-19 pandemic. Under

Palabras claves:

GAMLSS methodology, Machine learning, Non-Gaussianity, SARS-COV2, Sensing and data extraction, statistical moments, Two-stage optimization algorithms

Autores:

Carlos Martin-Barreiro, Huerta M., Leiva V., Rojas F.

Fuentes:

google

scopus