Risk Assessment in Managing the Blood Supply Chain

TitleRisk Assessment in Managing the Blood Supply Chain
Publication TypeConference Paper
Year of Publication2014
AuthorsJittamai, P, Boonyanusith, W
EditorKersten, W, Blecker, T, Ringle, CM
Title of ProceedingsNext Generation Supply Chains
Conference LocationHamburg
ISBN Number978-3-8442-9879-6; 978-3-7375-0340-2
ISSN NumberISSN (print) 2365-4430, ISSN (online) 2365-5070
Keywordsblood supply chain, risk, Risk Assessment, Risk Management

Blood supply chain system involves blood collection, processing, inventory
management, and distribution in the network. Blood has its unique
characteristics that make its supply chain to be more complex and dynamic
than the traditional one. Most research in the blood supply chain management
focuses on logistics and practices in operation. However, there is a lack in the
study of risk management in this aspect. Supply Chain Risk Management is a
new paradigm in the blood supply chain, which can be explored further to
manage risks in the complex and dynamic supply and demand networks. A
hierarchy based model of supply chain risks was applied as a conceptual
research framework to classify risks into four sub-chains; namely, physical,
financial, informational, and relational sub-chains. Empirical data were collected
by group brainstorming with experts and practitioners as well as by information
audits in order to identify risks in the blood supply chain context. Risk
assessment was conducted based on two angles, the likelihood of occurrences
and the consequences. A summary risk score was calculated for each risk to
analyze the values of the risk. Results of risk assessment were presented in a
risk matrix to represent the impact of risks in the blood supply chain. This
evaluation supports practitioners to prioritize issues in the blood logistics
management in order to identify risk management strategies. The contribution
of this research is discussed in order to arrive at an innovative and more
effective approach to cope with risks and uncertainties in the blood supply
chain management.