Consolidating orders in a crowdsourcing delivery network

D. Y. MO, Yue WANG, N. CHAN

Research output: Chapter in Book/Report/Conference proceedingChapters

1 Citation (Scopus)

Abstract

In this study, we explore the effects of consolidating orders on a crowdsourcing baggage delivery company. We use an empirical study of customers' preferences, a benchmarking study of pricing models, and an optimization tool for consolidating orders to show that a crowdsourcing strategy that includes order consolidation provides a competitive advantage to companies offering baggage delivery services. As order consolidation enhances the efficiency of the transportation network, drivers can increase revenue, and customers can save on the cost of delivering goods. Statistical analysis and numerical experiments are conducted to support these findings. Copyright © 2018 IEEE.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Place of PublicationUSA
PublisherIEEE
Pages555-559
ISBN (Electronic)9781538667866
DOIs
Publication statusPublished - 2018

Citation

Mo, D. Y., Wang, Y., & Chan, N. (2018). Consolidating orders in a crowdsourcing delivery network. In Proceedings of 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 (pp. 555-559). IEEE. https://doi.org/10.1109/IEEM.2018.8607771

Keywords

  • Crowdsourcing
  • Order consolidation
  • Delivery network
  • Empirical study
  • Network optimization

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