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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
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          <name>Creator</name>
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              <text>Leslie Dass, P.; Nair, Sreerengan V. R.; Kumar Chandar, S.; Kurien, Georgy P.</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>A Multicriteria Decision-Making Approach to Building Resilience Along the Indian Medical Equipment Supply Chain</text>
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          <name>Date</name>
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              <text>01-01-2025</text>
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            <elementText elementTextId="253078">
              <text>Smart Innovation, Systems and Technologies;Volume;413 SIST;pp.159-178</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-97-7717-4_12" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-97-7717-4_12&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/86000445911?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/86000445911?origin=resultslist&lt;/a&gt;</text>
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              <text>Leslie Dass P., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; Nair S.V.R., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; Kumar Chandar S., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India; Kurien G.P., School of Business and Management, Christ University, Karnataka, Bengaluru, 560029, India</text>
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              <text>The presence of risks that lead to potential disruptions is evident along the Indian medical equipment supply chain. Identifying and prioritising the supply chain risks is pivotal in enhancing supply chain resilience, surplus, and sustainability. This study uses multicriteria Decision-Making to prioritise supply chain risks in the Indian medical equipment industry. Unstructured interviews were conducted with industry experts from six medical equipment firms to identify supply chain risks. The identified risks were prioritised using the Analytic Hierarchy Process (AHP), Fuzzy AHP, and Analytic Network Process (ANP). AHP outlines the relative importance and ranks the risks. Finally, a simulation using ANP ranks the risks under different circumstances, considering the magnitude of impact and frequency of occurrence. A total of nine iterations were run to obtain a generalised rank for the identified supply chain risks under a combination of different scenarios of risk magnitude and frequency. The AHP results indicated that the industry experts considered inventory management risks as the most significant factor, followed by digitalisation and technological infrastructure. The Fuzzy AHP results revealed the triangulated weights in the same rank which was used to reiterate the findings from the AHP results with added dynamics in the form of the nearest neighbouring values. The ANP iterations revealed that supply and demand uncertainties must be managed first amidst any given risk scenario, followed by inventory and technological risks. The originality of this study is that the ANP results derived from nine iterations provide an overall decision matrix that can be generalised across the Indian medical equipment sector.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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              <text>Disruptions; MCDM; Medical equipment; Risk prioritisation; Supply chain risk management; Vulnerabilities contingency planning First Section</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>ISSN: 21903018; ISBN: 978-981977716-7;</text>
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              <text>English</text>
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              <text>All Open Access; Bronze Open Access</text>
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              <text>online</text>
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