Internet of Vehicles for Supply Chain

  • Mumtaz Ummar

    Student thesis: Master's Thesis

    Abstract

    E-commerce sales have risen across the world and further accelerated by the pandemic to currently achieve levels it was not expected to reach until 2022. This increase has prompted companies to look for cost friendly alternatives to tackle the ‘last mile' delivery challenge. Last mile is the final leg of shipment that goes from the warehouse to the recipient which also often constitutes majority of the shipping cost. To reduce this cost, crowdsourcing solutions were proposed such as the ones by Amazon and Walmart, where they tried to recruit workers from the crowd to handle some delivery tasks. Existing solutions suffer from some limitations such as: 1) Incentivizing workers to handle the tasks 2) optimize routes environmentally and based on delivery cost and 3) worker preferences not being considered. In this thesis, the problem of reducing the cost of last mile delivery is considered where crowdsourcing will be utilized to achieve a win-win strategy for both workers and task publisher.
    Date of AwardDec 2021
    Original languageAmerican English

    Keywords

    • Crowd sourcing
    • Auction
    • Last Mile Delivery
    • Routing
    • Supply Chain

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