Abstract
Up to 31% of food goods, especially fresh and perishable ones, are wasted during the transportation and storage. Products’ innate susceptibility to spoilage, unexpected issues, and shifting conditions post-strategy commencement are among the manifold reasons for distribution strategy failure in the food supply chain (FSC). Dynamically optimised distribution (DOD) methods can help distribution strategies to adapt and respond to unforeseen changes in today’s complex, connected and interdependent FSC. Building on Digital Twins (DTs) superior connectivity and actuation capabilities, this paper proposes a new DT-based method for DOD in the FSC, from DT design to modelling and evaluation in AnyLogic. Initial simulation results from a UK-based case study show that DT-enabled DOD could bring savings of more than £25,000 in direct costs and 150 tonnes of CO2 per shipment in a typical 20-tonne transport refrigeration unit (TRU). Benefits are compounded by potential fuel savings of up 132 L per year and TRU due to DT-enabled DOD dynamic carrier re-routing capabilities.
Original language | English |
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Title of host publication | Flexible Automation and Intelligent Manufacturing |
Subtitle of host publication | Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023 |
Editors | Francisco J. Silva, Luís Pinto Ferreira, José Carlos Sá, Maria Teresa Pereira, Carla M.A. Pinto |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 687-695 |
Number of pages | 9 |
ISBN (Print) | 9783031381645 |
DOIs | |
Publication status | Published - 2024 |
Event | 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 - Porto, Portugal Duration: 18 Jun 2023 → 22 Jun 2023 |
Publication series
Name | Lecture Notes in Mechanical Engineering |
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ISSN (Print) | 2195-4356 |
ISSN (Electronic) | 2195-4364 |
Conference
Conference | 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 |
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Country/Territory | Portugal |
City | Porto |
Period | 18/06/23 → 22/06/23 |
Bibliographical note
Funding Information:Acknowledgements. This research was supported by the EPSRC Doctoral Training Partnership and RAEng (EXP-2122-2-115). The authors would like to thank A. H. Mckinnell, M. N. M. Pauzi and T. Sparham for their contribution on the research leading to this work.
Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Digital Twins
- Food
- Supply Chain