An ICT-Based Reference Model for E-grocery in Smart Cities

  • Roberto TadeiEmail author
  • Edoardo Fadda
  • Luca Gobbato
  • Guido Perboli
  • Mariangela Rosano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9704)


E-grocery is a new emerging and challenging business channel for the food and beverage market, enabling consumers to purchase grocery products online. It combines the issues of last mile distribution with those related to the perishability of foods, affecting the success and profitability of several e-grocery companies. The Local Food Supply Chain (LFSC) concerns the local production and delivery to food consumers, in a more economically and environmentally efficient way, but it remains a less explored business. The paper discusses whether a new LFSC model for e-grocery is useful and proposes an innovative solution based on ICT and mobile applications.


E-grocery Last mile Supply-chain City logistics 



Partial funding of this project was provided by Telecom Italia under the project SOUL. We also gratefully acknowledge the support of the Fonds de recherche du Quebec through their infrastructure grants.


  1. 1.
    Beatriz, G., Fernando, G.: Logistic model for the distribution of goods in the e-grocery industry: a new adaptation of the vehicle routing problem. In: HMS 2011 (2011)Google Scholar
  2. 2.
    Perboli, G., De Marco, A., Perfetti, F., Marone, M.: A new taxonomy of smart city projects. Transp. Res. Procedia 3, 470–479 (2014)CrossRefGoogle Scholar
  3. 3.
    Holmström, J., Tanskanen, K., Kämäräinen, V.: Redesigning the supply chain for internet shopping - bringing ECR to the households. In: 4th Logistics Research Network Conference Newcastle, pp. 261–267 (1999)Google Scholar
  4. 4.
    Bruno, D., Gonzalez-Feliu, J.: French e-grocery models: a comparison of deliveries performances. In: Colloquium on European Retail Research-CERR 2012 Book of Abstracts, pp. 230–253 (2012). mckinsey.comGoogle Scholar
  5. 5.
    Galante, N., López, E.G., Monroe, S.: The future of online grocery in europe. Perspect. Retail Consum. Goods 1, 22–31 (2013). Spring 2013, mckinsey.comGoogle Scholar
  6. 6.
    Boyer, K., Hult, G., Frohlich, M.: An exploratory analysis of extended grocery supply chain operations and home delivery. Integr. Manuf. Syst. 14(8), 652–663 (2003)CrossRefGoogle Scholar
  7. 7.
    Kämäräinen, V., Smaros, J., Holmström, J., Jaakola, T.: Cost-effectiveness in the e-grocery business. Int. J. Retail Distrib. Manag. 29(1), 41–48 (2001)CrossRefGoogle Scholar
  8. 8.
    Cairns, S.: Promises and problems: using GIS to analyse shopping travel. J. Transp. Geogr. 6(4), 273–284 (1998)CrossRefGoogle Scholar
  9. 9.
    Siikavirta, H., Punakivi, M., Kärkkäinen, M.: Effects of e-commerce on greenhouse gas emission: a case study of grocery home delivery in Finland. J. Ind. Ecol. 6(2), 83–97 (2003)CrossRefGoogle Scholar
  10. 10.
    Wygonik, E., Goodchild, A.: Evaluating the efficacy of shared-use vehicles for reducing greenhouse gas emissions: a US case study of grocery delivery. J. Transp. Res. Forum 51(2), 111–126 (2012)Google Scholar
  11. 11.
    Neff, R.A., Palmer, A.M., McKenzie, S.E., Lawrence, R.S.: Food systems and public health disparities. J. Hunger Environ. Nutr. 4(3), 282–314 (2009)CrossRefGoogle Scholar
  12. 12.
    Agriculture, rural development: Promotion of EU farm products. Accessed on 29 Feb 2016
  13. 13.
    He, J., Zeng, Z., Li, Z.: Benefit evaluation framework of intelligent transportation systems. J. Transp. Syst. Eng. Inf. Technol. 10(1), 81–87 (2010)Google Scholar
  14. 14.
    5T SRL: Opendata. Accessed on 29 Feb 2016
  15. 15.
    Deflorio, F., Gonzales-Feliu, J., Perboli, G., Tadei, R.: The influence of time windows on the costs of urban freight distribution services in city logistics applications. Eur. J. Transp. Infrastruct. Res. 12(3), 256–274 (2012)Google Scholar
  16. 16.
    Perboli, G., Pezzella, F., Tadei, R.: EVE-OPT: a hybrid algorithm for the capability vehicle routing problem. Math. Methods Oper. Res. 68(2), 361–382 (2008)MathSciNetCrossRefzbMATHGoogle Scholar
  17. 17.
    Nguyen, P., Crainic, T., Toulouse, M.: A tabu search for time-dependent multi-zone multi-trip vehicle routing problem with time windows. Eur. J. Oper. Res. 231(1), 43–56 (2013)MathSciNetCrossRefzbMATHGoogle Scholar
  18. 18.
    McKinnon, P., Cullinane, S., Whiteing, A., Browne, P.: Green Logistics: Improving the Environmental Sustainability of Logistics. Kogan Page, London (2010)Google Scholar
  19. 19.
    5T SRL: Corporate web site. Accessed on 29 Feb 2016
  20. 20.
    Wardrop, J.: Some theoretical aspects of road traffic research. In: ICE Proceedings on Engineering Divisions, Vol. 1, pp. 325–362 (1952)Google Scholar
  21. 21.
    Pipes, L.A.: An operational analysis of traffic dynamics. J. Appl. Phys. 24(3), 274–281 (1953)MathSciNetCrossRefGoogle Scholar
  22. 22.
    Cagliano, A.C., Gobbato, L., Tadei, R., Perboli, G.: Its for e-grocery business: the simulation and optimization of urban logistics project. Transp. Res. Procedia 3, 489–498 (2014)CrossRefGoogle Scholar
  23. 23.
    URBeLOG: Project web site. Accessed on 04 Apr 2016
  24. 24.
    Sychro-Net: Project web site. Accessed on 29 Feb 2016

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Roberto Tadei
    • 1
    Email author
  • Edoardo Fadda
    • 1
  • Luca Gobbato
    • 1
  • Guido Perboli
    • 1
    • 2
  • Mariangela Rosano
    • 1
  1. 1.DAUIN, Politecnico di TorinoTurinItaly
  2. 2.CIRRELTMontrealCanada

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