The humanitarian logistics performance measurement model: A case study of COVID-19

The COVID-19 pandemic has had a significant adverse impact on economic trends and the ability of enterprises to manage their global supply chain activities. One major challenge relates to handling disruptions in supply chain activities and conducting humanitarian logistics. When facing disruptions in the humanitarian supply chain, non-governmental organizations (NGOs) need to identify relevant scenarios for supply chain processes, both before and after the COVID-19 pandemic, to determine the performance outcomes of these processes. This study aims to measure the logistics performance of the humanitarian supply chain process before and after the COVID-19 pandemic. It adopts the performance criteria from the supply chain operations reference (SCOR) model and the humanitarian logistics success criteria found in the literature for operationalization. Subsequently, the study employs the spherical fuzzy analytic hierarchy process (SF-AHP) methodology as a decision-making tool to prioritize criteria for identifying each aspect of the humanitarian supply chain process. These metrics are valuable for organizations to determine which sustainable supply chain processes are better suited, based on predefined criteria, to mitigate disruptions caused by the pandemic. Document accuracy is identified as the most important metric criterion for the humanitarian supply chain process.

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Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).