An enhanced framework for blood supply chain risk management
A blood supply chain (BSC) is a very long and complex sequence of processes heavily sequential. If one of them is executed in an incorrect way and this error is not detected, it leads to an incorrect transfusion outcome, that could seriously affect patients. For this reason, there is a strong need t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Sustainable Futures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188822000259 |
| _version_ | 1811187601486381056 |
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| author | Anna Corinna Cagliano Sabrina Grimaldi Carlo Rafele Chiara Campanale |
| author_facet | Anna Corinna Cagliano Sabrina Grimaldi Carlo Rafele Chiara Campanale |
| author_sort | Anna Corinna Cagliano |
| collection | DOAJ |
| description | A blood supply chain (BSC) is a very long and complex sequence of processes heavily sequential. If one of them is executed in an incorrect way and this error is not detected, it leads to an incorrect transfusion outcome, that could seriously affect patients. For this reason, there is a strong need to identify and prevent adverse events along the entire BSC, in order to reduce their probability of occurrence. This also helps improving BSC sustainability from both the environmental and the social perspectives. The paper extends an existing healthcare supply chain risk management framework already applied to the blood transfusion process to address multiple BSC echelons and identify the cause and effect relationships among the adverse events that might occur. To this end, Fault Tree Analysis is added to the risk management tools part of the original framework as well as Key Performance Indicators are applied to detect risky event manifestation.The first application of the proposed approach to a blood bank and a hospital ward revealed its effectiveness in identifying the BSC activities most subjected to risk. Also, connections between adverse events and causal relationships among their sources were found, leading to understanding whether an adverse event is caused by a risk source in the same echelon where it occurs or by the concurrent manifestation of several adverse events upstream in the BSC. Future research will be devoted to numerically evaluate probability of occurrence and impact of risky events as well as integrating the framework with a classification of criticalities based on their severity. |
| first_indexed | 2024-04-11T14:06:11Z |
| format | Article |
| id | doaj.art-b22e69af88ab4244a534f930b20c10f8 |
| institution | Directory Open Access Journal |
| issn | 2666-1888 |
| language | English |
| last_indexed | 2024-04-11T14:06:11Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sustainable Futures |
| spelling | doaj.art-b22e69af88ab4244a534f930b20c10f82022-12-22T04:19:53ZengElsevierSustainable Futures2666-18882022-01-014100091An enhanced framework for blood supply chain risk managementAnna Corinna Cagliano0Sabrina Grimaldi1Carlo Rafele2Chiara Campanale3Corresponding author.; Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, ItalyDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, ItalyDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, ItalyDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, ItalyA blood supply chain (BSC) is a very long and complex sequence of processes heavily sequential. If one of them is executed in an incorrect way and this error is not detected, it leads to an incorrect transfusion outcome, that could seriously affect patients. For this reason, there is a strong need to identify and prevent adverse events along the entire BSC, in order to reduce their probability of occurrence. This also helps improving BSC sustainability from both the environmental and the social perspectives. The paper extends an existing healthcare supply chain risk management framework already applied to the blood transfusion process to address multiple BSC echelons and identify the cause and effect relationships among the adverse events that might occur. To this end, Fault Tree Analysis is added to the risk management tools part of the original framework as well as Key Performance Indicators are applied to detect risky event manifestation.The first application of the proposed approach to a blood bank and a hospital ward revealed its effectiveness in identifying the BSC activities most subjected to risk. Also, connections between adverse events and causal relationships among their sources were found, leading to understanding whether an adverse event is caused by a risk source in the same echelon where it occurs or by the concurrent manifestation of several adverse events upstream in the BSC. Future research will be devoted to numerically evaluate probability of occurrence and impact of risky events as well as integrating the framework with a classification of criticalities based on their severity.http://www.sciencedirect.com/science/article/pii/S2666188822000259Risk managementSustainabilityBlood Supply Chain (BSC)Failure Mode and Effects Criticality Analysis (FMECA)Fault Tree Analysis (FTA) |
| spellingShingle | Anna Corinna Cagliano Sabrina Grimaldi Carlo Rafele Chiara Campanale An enhanced framework for blood supply chain risk management Sustainable Futures Risk management Sustainability Blood Supply Chain (BSC) Failure Mode and Effects Criticality Analysis (FMECA) Fault Tree Analysis (FTA) |
| title | An enhanced framework for blood supply chain risk management |
| title_full | An enhanced framework for blood supply chain risk management |
| title_fullStr | An enhanced framework for blood supply chain risk management |
| title_full_unstemmed | An enhanced framework for blood supply chain risk management |
| title_short | An enhanced framework for blood supply chain risk management |
| title_sort | enhanced framework for blood supply chain risk management |
| topic | Risk management Sustainability Blood Supply Chain (BSC) Failure Mode and Effects Criticality Analysis (FMECA) Fault Tree Analysis (FTA) |
| url | http://www.sciencedirect.com/science/article/pii/S2666188822000259 |
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