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Evaluating the Deployment of Collaborative Logistics Models for Local Delivery Services

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Abstract

The current pandemic situation and lockdowns have given rise to various problems not only of public health but also of organization of daily activities, especially in the purchase and delivery of goods. As a response to newly generated needs for customers’ demand, in this work, we try to evaluate several aspects for the deployment of collaborative logistics models aimed at the optimization of local delivery services.

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References

  1. Aziez, I., Coté, J.-F., Coelho, L.C.: Exact algorithms for the multi-pickup and deliveryproblem with time windows. Eur. J. Oper. Res. 284, 906–919 (2020)

    Article  Google Scholar 

  2. Berbeglia, G., Cordeau, J.-F., Gribkovskaia, I., Laporte, G.: Static pickup and deliveryproblems: a classification scheme and survey. TOP 15, 1–31 (2007)

    Article  MathSciNet  Google Scholar 

  3. Bruck, B.P., Iori, M.: Non-elementary formulations for single vehicle routing problems with pickups and deliveries. Oper. Res. (65), 1597–1614 (2017)

    Google Scholar 

  4. Haddad, M.N., et al.: Large neighborhood-based metaheuristic and branch-and-price for the pickup and delivery problem with split loads. Eur. J. Oper. Res. 270, 1014–1027 (2018)

    Article  MathSciNet  Google Scholar 

  5. Jargalsaikhan, B., Romeijnders, W., Roodbergen, K.J.: A compact arc-based ILPFormulation for the pickup and delivery problem with divisible pickups and deliveries. Transp. Sci. 55, 336–352 (2021)

    Article  Google Scholar 

  6. Nagy, G., Wassan, N.A., Speranza, M.G., Archetti, C.: The vehicle routing problem with divisible deliveries and pickups. Transp. Sci. 49, 271–294 (2015)

    Article  Google Scholar 

  7. Xiao, Z., Wang, J.J., Liu, Q.: The impacts of final delivery solutions on e-shopping usage behaviour: the case of Shenzhen. China. Int. J. Retail Distrib. Manag. 46, 2–20 (2018)

    Article  Google Scholar 

  8. Report Osservatorio eCommerce B2c: L'eCommerce B2c: il motore di crescita e innovazione del Retail! (2019). https://blog.osservatori.net/reportecommerce?hsCtaTracking=1b8915c1-7a7e-4209-a329-c36db1fd6d87%7C5d9392aa-cadc-4586-a370-43378da6e5e4 (in Italian). Accessed 18 Mar 2021

  9. Report Casaleggio Associati: E-COMMERCE IN ITALIA 2019 (2019). https://www.casaleggio.it/wp-content/uploads/2019/04/Report_E-commerce-in-Italia_2019-1.pdf (in Italian). Accessed 18 Mar 2021

  10. Report Nielsen: MarketTrack, Iper+Super+Liberi Servizi+Discount+Specialisti Drug. Vendite a valore per categoria nella settimana 12 del 2020 vs. la stessa settimana del 2019 (2019). https://nielseniq.com/global/it/insights/analysis/2020/coronavirus-la-spesa-in-quarantena/ (in Italian). Accessed 18 Mar 2021

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Correspondence to Tiziana Delmastro .

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Bari, A., Salassa, F., Arnone, M., Delmastro, T. (2021). Evaluating the Deployment of Collaborative Logistics Models for Local Delivery Services. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-030-85910-7_65

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  • DOI: https://doi.org/10.1007/978-3-030-85910-7_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85909-1

  • Online ISBN: 978-3-030-85910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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