Data-driven optimization for last-mile delivery
Data-driven optimization for last-mile delivery
About this item
Full title
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Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
This paper considers how an online food delivery platform can improve last-mile delivery services’ performance using multi-source data. The delivery time is one critical but uncertain factor for online platforms that also regarded as the main challenges in order assignment and routing service. To tackle this challenge, we propose a data-driven opti...
Alternative Titles
Full title
Data-driven optimization for last-mile delivery
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7758e6be147e4e31a8f51f48d7814a2e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7758e6be147e4e31a8f51f48d7814a2e
Other Identifiers
ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-021-00293-1
