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Environmental Sustainable Fleet Planning in B2C e-Commerce Urban Distribution Networks

In: Smart City

Author

Listed:
  • Francesco Carrabs

    (University of Salerno)

  • Raffaele Cerulli

    (University of Salerno)

  • Anna Sciomachen

    (University of Genoa)

Abstract

Sustainable distribution is one of the topics concerning the smart city concept. In this chapter we face the problem of delivering a given amount of goods in urban areas arising from e-channel department stores, with the aim of minimizing the overall distribution costs; costs take into account traveling components, loading and other operative aspects, and environmental issues. More precisely, in the present business to consumer distribution problem, we have to determine the fleet of not homogeneous vehicles (trucks, wagons, vans and picks-up) to be used for satisfying the demands of clients coming from e-channels, and their related itineraries, given the traveling limits imposed by the urban government; in particular, we have to respect the maximum route length constraints and use the appropriate vehicles for each kind of street. We propose a mathematical programming Mathematical programming model to solve this computationally difficult problem, which is strategic for being able to implement sustainable distribution plans in a smart city context. Preliminary results of test bed cases related to different sized urban distribution Urban distribution networks are reported and analyzed.

Suggested Citation

  • Francesco Carrabs & Raffaele Cerulli & Anna Sciomachen, 2014. "Environmental Sustainable Fleet Planning in B2C e-Commerce Urban Distribution Networks," Progress in IS, in: Renata Paola Dameri & Camille Rosenthal-Sabroux (ed.), Smart City, edition 127, pages 183-192, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-06160-3_9
    DOI: 10.1007/978-3-319-06160-3_9
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    Cited by:

    1. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.

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