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Minimizing Urban Logistics Cost Using Crowd-Shipping

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Published:25 May 2020Publication History

ABSTRACT

This study aims to determine the extent to which crowd-shipping delivery can reduce shipping costs. An extension of the classic Capacitated Vehicle Routing Problem (CVRP) is studied to model the possibility of performing deliveries using private citizen. A probabilistic model is incorporated to estimate the likelihood of finding a crowd-shipper for a given compensation. The model is applied to a logistics company based in Bandung, Indonesia. Results indicate significant advantages in using crowd-shipper as opposed to the traditional method. Specifically, costs can be reduced by about 20% and carbon dioxide (CO2) emissions can be reduced by 21% when a base scenario price sensitivity is considered. Overall, the case study suggests potential economic and environmental benefits relying on Occasional Couriers (OC's).

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      cover image ACM Other conferences
      ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing
      August 2019
      584 pages
      ISBN:9781450376259
      DOI:10.1145/3387168

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      • Published: 25 May 2020

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