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Title:

Crowd-Shipping: Assessing Alternative Operational Models using the Vehicle Routing Problem with Occasional Drivers

Accession Number:

01697571

Record Type:

Component

Abstract:

Last mile delivery is challenging for delivery companies. The new concept of “crowd-shipping” could be a good complementary approach for companies to reduce last mile delivery cost. Some companies with physical stores can benefit from crowd-shipping by implementing “in-store customers”. Other companies do not have physical stores, so the occasional driver should pick up orders from the depot, which imposes an additional cost of operation. This paper explores the effect of this additional cost by formulating and solving the vehicle routing problem with occasional drivers. Multiple delivery policy for occasional drivers is also investigated. To incorporate the randomness of origin and destination of occasional drivers a stochastic analysis was conducted. Although, it seems that the additional cost would decrease the benefits of companies without physical stores, it is demonstrated that they can still substantially reduce the last mile delivery cost by implementing crowd-shipping. Companies can increase the reliability of last mile delivery operation cost by attracting more occasional drivers and adopting a multiple delivery policy. Finally, this paper shows the reliability of last mile delivery operation cost increases when the origins of occasional drivers are not at the depot.

Supplemental Notes:

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.

Report/Paper Numbers:

19-04948

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Mousavi, Kianoush
Soldouz, Sina A
Roorda, Matthew J

Pagination:

5p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Subject Areas:

Freight Transportation; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-04948

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:31AM