Evaluation of key indicators affecting the performance of healthcare supply chain agility

In this study, essential factors of healthcare supply chain have been investigated. Factors were selected through an integrated approach, in which experts played a pivotal and decisive role in each phase. A novel hybrid methodology comprising Best-Worst-Method (BWM) and Interpretive structural model...

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Bibliographic Details
Published in:Supply chain forum 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-20
Main Authors: Rouhani-Tazangi, Mohammad Reza, Khoei, Mohammad Amin, Pamucar, Dragan, Feghhi, Benyamin
Format: Article
Language:English
Subjects:
Agility
Best-Worst method
healthcare supply chain
interpretive structural modelling
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Summary:In this study, essential factors of healthcare supply chain have been investigated. Factors were selected through an integrated approach, in which experts played a pivotal and decisive role in each phase. A novel hybrid methodology comprising Best-Worst-Method (BWM) and Interpretive structural modelling (ISM) is employed. Best-Worst-Method is utilised to determine the different weights of healthcare supply chain agility factors, and ISM and MICMAC analysis are utilising to examine interrelations among final selected factors. A case study in local pharmacies examined the effectiveness of the proposed hybrid model in the real world. The application of the hybrid BWM-ISM method demonstrates that 'Proper IT infrastructure' and 'Strategic planning' are the most significant factors, respectively. They will facilitate local pharmacies to accomplish agility practices in the healthcare supply chain thus, increasing effectiveness and adaptability to a variety of situations. This research helps public healthcare decision-makers by changing the organisation's response to critical situations and unexpected events by implementing corrective measures within local pharmacies.
ISSN:1625-8312
1624-6039
DOI:10.1080/16258312.2023.2171239