Performance measurement of humanitarian supply chains

Abstract

In recent years, we have witnessed many unforeseen disasters. During disruptive events, governments and business organizations call for more effective and efficient humanitarian operations. Humanitarian supply chains (HSCs) play a vital role in helping businesses operate smoothly in such challenging situations. Simultaneously, the performance measurement of HSCs plays a strategic and key role in responding to unpredicted events. Despite the importance of measuring performance in HSCs, there are significant challenges with existing approaches in the literature. The objective of this paper is to develop a novel network data envelopment analysis (NDEA) model with unique features. The proposed model can calculate division and overall efficiency scores with high discriminatory power. Furthermore, the proposed NDEA model simultaneously takes into account integer data, ratio data, undesirable outputs, and fuzzy data. The model also addresses interval undesirable outputs. The proposed model demonstrates the capability to accurately rank HSCs. Additionally, a case study of Iranian natural disasters is provided to showcase the capabilities of the proposed model. Finally, the results of the numerical analysis are utilized to derive managerial implications for HSCs.

Publication DOI: https://doi.org/10.1007/s10479-024-06270-4
Divisions: College of Business and Social Sciences > Aston Business School
Aston University (General)
Additional Information: Copyright © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature, 2024. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10479-024-06270-4
Uncontrolled Keywords: Humanitarian supply chains,Network data envelopment analysis (NDEA),Integer-valued data,Ratio data,Fuzzy data
Publication ISSN: 1572-9338
Last Modified: 19 Nov 2024 17:46
Date Deposited: 10 Oct 2024 10:11
Full Text Link:
Related URLs: https://link.sp ... 479-024-06270-4 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-09-30
Published Online Date: 2024-09-30
Accepted Date: 2024-09-03
Authors: Farzipoor Saen, Reza
Moghaddas, Zohreh
Azadi, Majid (ORCID Profile 0000-0002-6865-7637)

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