Consolidating orders in a crowdsourcing delivery network

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

doi:10.1109/IEEM.2018.8607771

Consolidating orders in a crowdsourcing delivery network

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

Department of Mathematics and Information Technology (MIT)

Research output: Chapter in Book/Report/Conference proceeding › Chapters

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 language	English
Title of host publication	Proceedings of 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Place of Publication	USA
Publisher	IEEE
Pages	555-559
ISBN (Electronic)	9781538667866
DOIs	https://doi.org/10.1109/IEEM.2018.8607771
Publication status	Published - 2018

Keywords

Crowdsourcing
Order consolidation
Delivery network
Empirical study
Network optimization

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10.1109/IEEM.2018.8607771

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Consolidating orders in a crowdsourcing delivery network

Abstract

Keywords

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