劳动力
计算机科学
众包
劳动力规划
劳动力管理
业务
运营管理
运筹学
数据科学
数学
万维网
经济
经济增长
作者
Chun Cheng,Melvyn Sim,Yue Zhao
出处
期刊:Operations Research
[Institute for Operations Research and the Management Sciences]
日期:2024-11-04
标识
DOI:10.1287/opre.2023.0125
摘要
Revolutionize Workforce Management of Crowdsourced Delivery Platforms The surge in online shopping is driving e-retailers to revamp their logistics for efficient, cost-effective deliveries. Many are embracing crowdsourced delivery, where independent couriers use personal vehicles for swift shipments. Major players like Amazon and Walmart have pioneered this shift in delivery methods. To tackle uncertainties in this model, platforms are blending ad hoc couriers with prehired couriers. This hybrid approach ensures reliability in customer service while managing costs effectively. However, balancing this mix poses challenges, as future demands are still being determined. This study proposes a robust satisficing framework to optimize workforce management in delivery platforms. This innovative method aims to enhance cost-effectiveness and service quality by addressing uncertainties in ad hoc couriers’ availability and behavior. It offers a strategic tool for platforms to navigate workforce resources efficiently amidst fluctuating demands and cost constraints.
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