Crowdsourcing for Last-Mile Delivery: Design, Planning, and Operation
To cope with the challenges of increasingly shorter delivery times, higher volumes, and more volatile demand, retailers are turning to innovative solutions. Among these is an increased reliance on crowdsourcing for last mile delivery -- the most expensive and challenging leg of the delivery process. However, there is limited research on the effective design, planning, and operation of a crowd-based last mile delivery system. The goal of this project is (1) to lay out the theoretical foundation for how such systems should be designed and managed, (2) to develop data-driven algorithms to support the real word implementation of these systems, and (3) to test and validate these algorithm using real world data from two major online retailers: Target in the US and JD.COM in China.
Language
- English
Project
- Status: Active
- Funding: $45361
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Contract Numbers:
CTS #2021022
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Sponsor Organizations:
Center for Transportation Studies
University of Minnesota
500 Washington Avenue SE, TSB 200
Minneapolis, MN United States 55118 -
Performing Organizations:
Industrial and Systems Engineering
100 Union Street SE
Minneapolis, MN United States 55455 -
Principal Investigators:
Benjaafar, Saif
- Start Date: 20200701
- Expected Completion Date: 20211231
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Algorithms; Crowdsourcing; Delivery service; Electronic commerce; Implementation; Retail trade; System design; Validation
- Subject Areas: Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01748038
- Record Type: Research project
- Source Agency: University of Minnesota, Minneapolis
- Contract Numbers: CTS #2021022
- Files: RIP
- Created Date: Aug 17 2020 11:37AM