Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation:An investigation of decision-maker involvement and directions to promote implementation

Abstract

Reports of successful implementation of humanitarian optimization models in the field are scarce. Incorporating real conditions and the perspective of decision-makers in the analysis is crucial to enhance the practical value and managerial implications. Although it is known that implementation can be hindered by the lack of practitioner input in the structure of the model, its priorities, and the practicality of solution times, the way these aspects have been introduced in humanitarian optimization models has not been investigated. This study looks at the way research has involved practitioners in different aspects of the design of optimization models to promote implementation. It investigates the aspects affecting the implementation of the models and opportunities to guide future optimization contributions. The article introduces a systematic literature review of 105 articles to answer the research questions. The results are contrasted with a multi-criteria decision analysis using responses from Mexican practitioners. The study found that only 10% of the articles involved practitioners for modelling decisions, which was confirmed by a major gap between the objectives used in the literature and the priorities of Mexican practitioners. In terms of swift decision-making, fewer than 22% of the articles surveyed introduced new solution methods to deliver results in a sensible time. The study also identified very limited inclusion of environmental concerns in the objective functions even though these are a priority in the global agenda. These findings are discussed to propose research directions and suggest best practices for future contributions to promote the implementation of humanitarian logistics models.

Publication DOI: https://doi.org/10.1016/j.seps.2023.101669
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Copyright © 2023 Published by Elsevier Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License CC BY [https://creativecommons.org/licenses/by/4.0/], which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Funding: This work was supported by an Institutional Links grant, ID 527666998, under the Newton UK-Mexico partnership. The grant is funded by the UK Department for Business, Energy and Industrial Strategy and delivered by the British Council.
Uncontrolled Keywords: Humanitarian logistics,Crisis decision-making,Sustainibility,Multi-criteria decision-making,Geography, Planning and Development,Economics and Econometrics,Strategy and Management,Statistics, Probability and Uncertainty,Management Science and Operations Research
Publication ISSN: 1873-6041
Last Modified: 30 May 2024 07:31
Date Deposited: 03 Jul 2023 12:17
Full Text Link:
Related URLs: https://linking ... 038012123001817 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2023-10
Published Online Date: 2023-07-03
Accepted Date: 2023-06-20
Authors: Rodríguez-Espíndola, Oscar (ORCID Profile 0000-0002-4889-1565)
Ahmadi, Hossein (ORCID Profile 0000-0002-7910-1239)
Gastélum-Chavira, Diego
Ahumada-Valenzuela, Omar
Chowdhury, Soumyadeb
Dey, Prasanta Kumar (ORCID Profile 0000-0002-9984-5374)
Albores, Pavel (ORCID Profile 0000-0001-7509-9381)

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