题目：Digital Twinning for Productivity Improvement Opportunities with Robotic Process Automation: Case of Greenfield Hospital
报告人: Mark Goh, NUS Business School and The Logistics Institute-Asia Paciﬁc, National University of Singapore
摘要: Hospitals of the future need to embrace new, disruptive, and innovative technologies, and prudently consider the cost of such technological investments to ensure that the technologies can interface well with human operators, without the high financial commitment. Such hospitals look to improve operational efficiency and productivity to be able to treat more patients without increasing cost and justify the capital investment. Put simply, the hospital staff will in future co-work and collaborate with robotic technologies in a shared workspace to deliver the same level of patient care if not better. For this to happen, there is a need to appreciate how the current human effort can be integrated seamlessly with Robotic Process Automation (RPA) activities in a hospital setting and to visually show to the operations/logistics personnel the attendant challenges/ bottlenecks. We study a Greenfield hospital in Singapore and provide a digital twin of its future operations with RPA solutions. Specifically, we design an efficient logistics system (central sterile services, materials management, food, pharmacy, linen), develop robust RPA solutions, and minimize the disruptions from automation introduction. The transportation system within the hospital, dispatching rule of the lifts and robots, are optimized through extensive simulation.
Mark Goh, PhD, is Professor at the NUS Business School and Director (Industry Research) at the Logistics Institute-Asia Pacific. He is an adjunct professor at Edith Cowan University, Australia and ITM Universe, India. He was a member of the Global Advisory Council (GAC) on Logistics and Supply Chain with the World Economic Forum.
His current research interest is on buyer-seller relationships, performance measurement, and supply chain strategy. He has made contributions to the broad domain of supply chain management and sustainability, as evidenced by over 300 technical papers in internationally refereed journals and conferences, and won research grant money in excess of SGD 10 million.