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Application of Information-Sharing for Resilient and Sustainable Food Delivery in Last-Mile Logistics

Author

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  • Valentas Gruzauskas

    (Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

  • Aurelija Burinskiene

    (Business Management Faculty, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

  • Andrius Krisciunas

    (Department of Applied Informatics, Faculty of Informatics, Kaunas University of Technology, Studentu Str. 50, LT-51368 Kaunas, Lithuania)

Abstract

The growing food demand, the tendency for organic food, and the adaptation of the e-commerce business model require new food supply chain management approaches. On the one hand, 30% of the world’s produced food is wasted, and CO 2 emissions are rapidly growing due to transport. On the other hand, the increasingly complex and dynamic environment is decreasing the effectiveness of food supply chains. Because of these trends, sustainability and resilience are becoming more relevant to food supply chains. Therefore, the objective of this paper is to propose a strategy based on information exchange to improve food quality and decrease the level of CO 2 emission in last-mile deliveries of food products. To achieve this goal, an agent-based model of last-mile deliveries was developed. The model simulated traffic flow and traffic accidents as disturbances in the system while measuring the level of CO 2 emission and food quality of the network. The simulation compares information sharing between all vehicles in the urban area and without information sharing in four scenarios of the food industry. In practice, information sharing is achieved by using connected vehicle technology. The use of information sharing between vehicles in last-mile delivery processes allows the development of a self-organizing system, which would adapt to disturbances and lead to the development of sustainability in the long run.

Suggested Citation

  • Valentas Gruzauskas & Aurelija Burinskiene & Andrius Krisciunas, 2023. "Application of Information-Sharing for Resilient and Sustainable Food Delivery in Last-Mile Logistics," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:303-:d:1027918
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    References listed on IDEAS

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    1. Hugh Campbell, 2009. "Breaking new ground in food regime theory: corporate environmentalism, ecological feedbacks and the ‘food from somewhere’ regime?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 26(4), pages 309-319, December.
    2. Barth, Matthew & Boriboonsomsin, Kanok, 2008. "Real-World CO2 Impacts of Traffic Congestion," University of California Transportation Center, Working Papers qt4fx9g4gn, University of California Transportation Center.
    3. Tijskens, L. M. M. & Polderdijk, J. J., 1996. "A generic model for keeping quality of vegetable produce during storage and distribution," Agricultural Systems, Elsevier, vol. 51(4), pages 431-452, August.
    4. Angappa Gunasekaran & Nachiappan Subramanian & Shams Rahman, 2015. "Supply chain resilience: role of complexities and strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6809-6819, November.
    5. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    6. Luigi Ranieri & Salvatore Digiesi & Bartolomeo Silvestri & Michele Roccotelli, 2018. "A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    7. Marie Laure Delignette-Muller & Christophe Dutang, 2015. "fitdistrplus : An R Package for Fitting Distributions," Post-Print hal-01616147, HAL.
    8. Aubry, Christine & Kebir, Leïla, 2013. "Shortening food supply chains: A means for maintaining agriculture close to urban areas? The case of the French metropolitan area of Paris," Food Policy, Elsevier, vol. 41(C), pages 85-93.
    9. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    10. Bjørgen, Astrid & Bjerkan, Kristin Ystmark & Hjelkrem, Odd Andre, 2021. "E-groceries: Sustainable last mile distribution in city planning," Research in Transportation Economics, Elsevier, vol. 87(C).
    11. Haass, Rasmus & Dittmer, Patrick & Veigt, Marius & Lütjen, Michael, 2015. "Reducing food losses and carbon emission by using autonomous control – A simulation study of the intelligent container," International Journal of Production Economics, Elsevier, vol. 164(C), pages 400-408.
    12. Delignette-Muller, Marie Laure & Dutang, Christophe, 2015. "fitdistrplus: An R Package for Fitting Distributions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i04).
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    1. Doğukan Toktaş & M. Ali Ülkü & Muhammad Ahsanul Habib, 2024. "Toward Greener Supply Chains by Decarbonizing City Logistics: A Systematic Literature Review and Research Pathways," Sustainability, MDPI, vol. 16(17), pages 1-22, August.
    2. Rumeng Zhang & Lihong Li, 2023. "Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    3. Artuğ Eren Coşkun & Ramazan Erturgut, 2023. "How Do Uncertainties Affect Supply-Chain Resilience? The Moderating Role of Information Sharing for Sustainable Supply-Chain Management," Sustainability, MDPI, vol. 16(1), pages 1-25, December.

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