Fair Scheduling of Heterogeneous Customer Populations

33 Pages Posted: 15 Mar 2021 Last revised: 10 Apr 2021

See all articles by Justin Mulvany

Justin Mulvany

University of Southern California - Marshall School of Business

Ramandeep S. Randhawa

University of Southern California

Date Written: March 12, 2021

Abstract

When managing congested service systems, it is common to use priority rules based on some operational criteria. In this paper, we consider the societal implications of such individual-focused priority policies, when individuals are considered as members of broader population groups. We find that optimal resource allocation policies such as the cμ-rule in scheduling can lead to significant inequity across different population groups. We propose policies that can mitigate this inequity and can even generate completely equitable outcomes across populations with little, or at times, even no additional system cost. Thus, we find that it can be possible to achieve more equitable outcomes while ensuring operational efficiency.

Keywords: fairness, queueing, scheduling, priority

Suggested Citation

Mulvany, Justin and Randhawa, Ramandeep S., Fair Scheduling of Heterogeneous Customer Populations (March 12, 2021). Available at SSRN: https://ssrn.com/abstract=3803016 or http://dx.doi.org/10.2139/ssrn.3803016

Justin Mulvany (Contact Author)

University of Southern California - Marshall School of Business ( email )

701 Exposition Blvd
Los Angeles, CA California 90089
United States

Ramandeep S. Randhawa

University of Southern California ( email )

Marshall School of Business
BRI 401, 3670 Trousdale Parkway
Los Angeles, CA 90089
United States

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