A structured review of quantitative models of the pharmaceutical supply chain
type: Item
instance of: scholarly article
title: A structured review of quantitative models of the pharmaceutical supply chain
zbMATH Open document ID: 1380.93042
DOI: 10.1155/2017/5297406
author: C. Franco
author: Edgar H. Alfonso-Lizarazo
published in: Complexity
publication date: 2018-02-01T00:00:00Z
review text: Summary: The aim of this review is to identify and provide a structured overview of quantitative models in the pharmaceutical supply chain, a subject not exhaustively studied in the previous reviews on healthcare logistics related mostly to quantitative models in healthcare or logistics studies in hospitals. The models are classified into three categories of classification: network design, inventory models, and optimization of a pharmaceutical supply chain. A taxonomy for each category is shown describing the principal features of each echelon included in the review; this taxonomy allows the readers to identify easily a paper based on the actors of the pharmaceutical supply chain. The search process included research articles published in the databases between 1984 and November 2016. In total 46 studies are included. In the review process we found that in the three fields the most common source of uncertainty used is the demand in the 56\% of the cases. Within the review process we can conclude that most of the articles in the literature are focused on the optimization of the pharmaceutical supply chain and inventory models but the field on supply chain network design is not deeply studied.
Mathematics Subject Classification ID: 93A30
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 91B74
Mathematics Subject Classification ID: 90-02
zbMATH DE Number: 6833385
zbMATH Keywords: quantitative models
zbMATH Keywords: network design
zbMATH Keywords: inventory models
zbMATH Keywords: optimization
zbMATH Keywords: pharmaceutical supply chain
zbMATH Keywords: healthcare logistics
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/5297406
OpenAlex ID: W2774986767
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description: scientific article; zbMATH DE number 6833385