4.7 Review

A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 53, Issue 24, Pages 7191-7212

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2015.1005766

Keywords

blood supply chain; taxonomic framework; quantitative models; perishable inventory; blood collection; blood transfusion

Funding

  1. PhD scholarship from the Departamento administrativo de ciencia y tecnologia, Colciencias, Bogota, Colombia

Ask authors/readers for more resources

This paper presents a structured review of the literature on quantitative modelling for the blood product supply chain. This is a widely researched topic, dating back to the 1960s, and several other reviews have been published over the years. However, this paper presents new relevant information for researchers, not only by including more recent models but chiefly because of the structured way in which the models are presented. The models are broken down into five categories. The first four categories represent the four stages (echelons) in the supply chain: collection, production, inventory and delivery. The final category contains integrated' models which cover more than one stage. Each section (other than integrated models, which are treated slightly differently) contains two distinct elements. The first element is a diagrammatic representation of decisions and relationships, broken down by hierarchy level (strategic - tactical - operational). The second element is a text description of the main features, contributions and gaps found in the analysed models. An additional element for each section is available online, namely a searchable table describing specific features of each echelon, together with a taxonomic key to assist the reader.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available