Optimization under uncertainty of the pharmaceutical supply chain in hospitals

In this paper, a simulation-optimization approach based on the stochastic counterpart or sample path method is used for optimizing tactical and operative decisions in the pharmaceutical supply chain. This approach focuses on the pharmacy-hospital echelon, and it takes into account random elements re...

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Autores:

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/23768

Acceso en línea:

https://doi.org/10.1016/j.compchemeng.2019.106689
https://repository.urosario.edu.co/handle/10336/23768

Palabra clave:

Hospitals
Inventory control
Mathematical programming
Medicine
Stochastic models
Stochastic systems
Supply chains
Bi-objective optimization
Epsilon-constraint method
Mixed integer programming model
Optimization under uncertainty
Pharmaceutical supply chains
Sample path
Simulation optimization
Stochastic counterpart
Integer programming
Mathematical programming
Medicine replenishment
Pharmaceutical supply chain
Sample Path
Simulation-optimization
Stochastic counterpart

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