Computational logistics in the food and drink industry: advances in modelling and applications

Bhattacharya, Arijit ORCID: https://orcid.org/0000-0001-5698-297X and Ishizaka, Alessio (2025) Computational logistics in the food and drink industry: advances in modelling and applications. Annals of Operations Research, 354 (2). pp. 489-493. ISSN 0254-5330

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Item Type:	Article
Additional Information:	Acknowledgements We extend our deepest gratitude to the authors for choosing this special issue as a venue for their excellent work. We are also profoundly indebted to the anonymous reviewers whose insightful comments and rigorous standards were indispensable in ensuring the quality of this collection. Finally, we thank Annals of Operations Research Editor-in-Chief Endre Boros for his invaluable guidance and support throughout this process.
Uncontrolled Keywords:	general decision sciences,management science and operations research ,/dk/atira/pure/subjectarea/asjc/1800/1800
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Related URLs:	https://www.scopus.com/pages/publication...
Depositing User:	LivePure Connector
Date Deposited:	04 Sep 2026 14:31
Last Modified:	06 Sep 2026 05:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/104431
DOI:	10.1007/s10479-025-06887-z

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