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B2C e-commerce last-mile delivery (LMD) is a critical process, considering both efficiency and effectiveness: it implies high costs, and online customers have stringent service level expectations. One promising LMD solution based on crowdsourcing logistics (CL) is the ‘multi-parcel’ paradigm (each rider accomplishes different deliveries in the same tour). This work analyses the impact of multi-parcel CL on delivery costs compared to traditional by-van LMD. First, it develops an analytical model that –generating customers’ demand and assigning deliveries to riders– computes both CL and traditional LMD costs. Second, the model is applied to a case in Milan, Italy. Third, sensitivity analyses are run on key variables/parameters. Multi-parcel CL entails significant benefits compared to traditional LMD (about 11% saving). On the academic side, this work contributes to the literature, proposing a model that investigates the performances of multi-parcel CL. On the managerial side, it may support practitioners in implementing this innovative delivery solution.
Arianna Seghezzi; Riccardo Mangiaracina. Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries. International Journal of Logistics Research and Applications 2021, 1 -18.
AMA StyleArianna Seghezzi, Riccardo Mangiaracina. Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries. International Journal of Logistics Research and Applications. 2021; ():1-18.
Chicago/Turabian StyleArianna Seghezzi; Riccardo Mangiaracina. 2021. "Investigating multi-parcel crowdsourcing logistics for B2C e-commerce last-mile deliveries." International Journal of Logistics Research and Applications , no. : 1-18.
The last-mile delivery is one of the most challenging logistics issues arising from B2C e-commerce. Companies operating online have to meet stringent requirements in terms of service level; moreover, the features of e-commerce orders – e.g. small dimension – make last-mile delivery the most expensive part of the delivery process. In this context, crowdsourcing logistics emerges as an innovative and promising solution: deliveries are assigned to a network of ‘common’ people through an open call. This solution may imply great advantages for the urban society. Nonetheless, in order to spread, it has to be economically sustainable for companies. In this regard, the paper investigates the economic profitability of a ‘pony express’ crowdsourcing logistics initiative in an urban area. A model has been developed in order to estimate the cost of deliveries using crowdsourced services, and to compare it with the cost of ‘traditional’ pony express couriers.
Arianna Seghezzi; Riccardo Mangiaracina; Angela Tumino; Alessandro Perego. ‘Pony express’ crowdsourcing logistics for last-mile delivery in B2C e-commerce: an economic analysis. International Journal of Logistics Research and Applications 2020, 1 -17.
AMA StyleArianna Seghezzi, Riccardo Mangiaracina, Angela Tumino, Alessandro Perego. ‘Pony express’ crowdsourcing logistics for last-mile delivery in B2C e-commerce: an economic analysis. International Journal of Logistics Research and Applications. 2020; ():1-17.
Chicago/Turabian StyleArianna Seghezzi; Riccardo Mangiaracina; Angela Tumino; Alessandro Perego. 2020. "‘Pony express’ crowdsourcing logistics for last-mile delivery in B2C e-commerce: an economic analysis." International Journal of Logistics Research and Applications , no. : 1-17.