Strategic last-mile distribution network design under demand uncertainty

We propose quantitative models to incorporate demand uncertainty and physical distribution flexibility into the strategic design of last-mile distribution networks. Last-mile distribution typically constitutes the most expensive part of any global supply chain, and it is becoming increasingly complex due to the ongoing boom in e-commerce, the associated rise in customer expectations, and the increasing levels of urbanization. Appropriately designing the underlying distribution networks, including facility location, inventory allocation, and eet composition decisions, is paramount for the ecient operation of both traditional and highly responsive last-mile distribution services. In traditional networks, the order collection and delivery periods are segregated by an order cut-o, rendering the operational distribution problem deterministic.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Civil and Environmental Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Snoeck, André Cornelis Joseph.

Advisor dc:contributor.advisor

• Matthias Winkenbach.

• Civil and Environmental Engineering.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127326

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127326