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SB4 - SM2: Matching algorithm in service operations 1
Time:
Sunday, 25/June/2023:
SB 10:00-11:30
Location:Mezzanine
2nd floor
Presentations
Dynamic matching with driver compensation guarantees in crowdsourced delivery
Aliaa Alnaggar1, Fatma Gzara2, James H. Bookbinder2
1Toronto Metropolitan University, Canada; 2University of Waterloo, Canada
Crowdsourced delivery platforms offer workers complete flexibility in scheduling their own hours. However, since workers are treated as independent contractors, they do not receive minimum wage protection. Here we examine the integration of driver compensation guarantees in a platform's matching decisions. We design dynamic matching policies that guarantee a particular level of utilization or wage for active workers, while maintaining the inherent work hour flexibility of the sharing economy.
Online algorithms for matching platforms with multi-channel traffic
Scott Rodilitz1, Vahideh Manshadi2, Daniela Saban3, Akshaya Suresh2, Renyu Zhang4
1UCLA Anderson School of Management; 2Yale School of Management; 3Stanford Graduate School of Business; 4Chinese University of Hong Kong
TBD
Online bipartite matching with advice: tight robustness-consistency tradeoffs for the two-stage model
