7:00-9:00pm, 2 June, 2022

Tencent Meeting ID: 911-7495-8724

Title: Identifying COVID-19 Cases in Singapore During the Early Pandemic Period

Abstract:

Rapid identification of COVID-19 cases, which is crucial to outbreak containment efforts, is challenging due to the lack of pathognomonic symptoms and in settings with limited capacity for specialized nucleic acid–based reverse transcription polymerase chain reaction (PCR) testing. Thus, we developed models to identify COVID-19 cases via epidemiological and clinical features. Thereafter, a Web Application with improved algorithms was developed for use in outpatient settings. The Web Application assisted physicians decide those patients who need priority PCR testing in early outbreak.

Speaker: Yinxiaohe Sun

Date/Time: 7:00-8:00pm, 2 June, 2022

Brief introduction of the lecturer: 

Yinxiaohe Sun, got her bachelor degree of Science in Information and Computing Science from Nanjing University of Aeronautics and Astronautics, and her master degree of Statistics and Applied Probability from National University of Singapore. She is now a doctoral student and assistant researcher at the School of Public Health, National University of Singapore. Her main research interests are infectious disease modeling and Bayesian methods in infectious disease epidemiology. She has published 11 papers in on journals including Clinical Infectious Diseases, Risk Management and Healthcare Policy, and has successfully applied for one seed research fund (s$100000)

Title: Intralogistics Synchronization in Robotic Forward-reserve Warehouses for Last-mile Delivery

Abstract:

Intralogistics operations (IOs) are defined as the operations inside a warehouse. This talk discusses IOs in a typical robotic forward-reserve e-commerce warehouse involving manual order-picking and robotic order sorting operations. It is critical to synchronize IOs between different areas considering delivery requirements to improve the overall performance. This challenge is formulated as a delivery-driven intralogistics synchronization (DDIS) problem. Our study develops a tailored variable neighborhood search solution method. A series of comprehensive numerical experiments under various scenarios show the superiority and stability of the DDIS as benchmarked with sequential approaches. A substantial reduction can be achieved in both makespan and forward area size, indicating significantly improved intralogistics operational efficiency and space utilization. Managerial insights are also discussed for specific action plans regarding the market size, the labor force, and the trolley configuration.

Speaker: Min Jiang

Date/Time: 8:00-9:00pm, 2 June, 2022

Brief introduction of the lecturer: 

Jiang Min, received her bachelor degree in industrial engineering from Nanjing University of Aeronautics and Astronautics, and received her doctorate in industrial engineering from University of Hong Kong. She is currently a quantitative researcher at Barclays Capital (Hong Kong). Her research interests during her doctorate are intelligent warehousing, operational research optimization and supply chain management. As the first author, she has published many papers on Transportation Research Part E: Logistics and Transportation Review, and she is the reviewer of journals including EJOR、TRE、IJPR, etc.