演講主題: Design of Covid-19 Testing Queues
主 講 人: 崔詩亮，喬治敦大學麥克多諾商學院副教授
主 持 人: 關 旭，生產運作與物流管理系教授
網絡直播平臺: 騰訊會議，會議ID：657 636 631
崔詩亮是喬治敦大學麥克多諾商學院運營與信息管理系副教授，他的研究方向包括：運營管理、服務管理、零售運營和供應鏈管理。近年來在其研究領域的頂級期刊上，包括Management Science、Operations Research、Manufacturing & Service Operations Management、Production and Operations Management等，已經發表了多篇文章。
In the event of a virus outbreak such as Covid-19, testing is key. However, long waiting lines at testing facilities often discourage individuals from getting tested. This paper studies how testing facilities should set scheduling and pricing policies to incentivize individuals to test, with the goal to identify the most cases of infection. Our findings are as follows. First, under the FIFO discipline, the common practice of making testing free attracts the most testees, but may not catch the most cases. Charging a testing fee may surprisingly improve case detection. Second, even though people who show symptoms are more likely to carry the virus, prioritizing these individuals over asymptomatic ones (another common practice) may let more cases go undetected than FIFO testing does. Third, we characterize the optimal scheduling and pricing policy. To maximize case detection, there is no need to charge a testing fee; instead, it is optimal to give (partial) priority to asymptomatic testees when testing demand is moderately low, but (partially) prioritize individuals with symptoms when testing demand becomes high.