Workforce planning for O2O delivery systems with crowdsourced drivers
Workforce planning for O2O delivery systems with crowdsourced drivers
About this item
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Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
Subjects
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Scope and Contents
Contents
This paper proposes a workforce capacity planning model for online-to-offline (O2O) logistics systems. Three types of workforces with different compensation schemes are considered: in-house drivers, full-time crowdsourced drivers, and part-time crowdsourced drivers. We propose a cost minimization problem to determine the optimal workforce capacity...
Alternative Titles
Full title
Workforce planning for O2O delivery systems with crowdsourced drivers
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2165542127
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2165542127
Other Identifiers
ISSN
0254-5330
E-ISSN
1572-9338
DOI
10.1007/s10479-019-03135-z
