报告题目：Predictive 3D Printing with IoT
报 告 人：张 越 宾夕法尼亚州立大学
报告时间：2023年6月21日(周三) 16:00-17:30
报告地点：中国科学院大学中关村校区教学楼S406
腾讯会议：873-9767-9281
内容摘要
Industry 4.0 integrates digital and physical technologies to transform work management, where two core enablers are the Internet of Things (IoT) and 3D printing (3DP). IoT monitors complex systems in real-time, while 3DP enables agile manufacturing that can respond to real-time information. However, the details of how these two can be integrated are not yet clear. To gain insights, we consider a scenario where a 3D printer supplies a critical part to multiple machines that are embedded with sensors and connected through IoT. While the public perception indicates that this integration would enable on-demand printing, our research suggests this is not necessarily the case. Instead, the true benefit is the ability to print predictively. In particular, it is typically more effective for the 3D printer to predictively print-to-stock, based on a threshold that depends on the system’s status. We also identify a printing mode called print-on-advance-demand (PoAD) that allows for minimal inventory, and find the speed of 3DP to be the primary factor that influences the optimality of PoAD. Furthermore, we assess the value of IoT in cost reductions by separately analyzing the impact of advance information from embedded sensors and the real-time information fusion through IoT. We find that IoT provides significant value in general. However, the common belief that IoT’s value scales up for larger systems can backfire if the capacity of 3DP is not increased comparably. Our framework can help inform investment decisions regarding IoT/embedded sensors and support the development of scheduling tools for predictive 3D printing.
主讲人简介
Dr. Yue Zhang is an assistant professor of supply chain management in the Department of Supply Chain and Information Systems at Penn State University. She obtained her Ph.D. in operations management from Duke University. She also earned a bachelor in math and physics from Tsinghua University and a master in operations management from Hong Kong University of Science and Technology. Dr. Zhang’s research interest lies in studying advanced technologies and their impact on operations and supply chain management. Dr. Zhang was the awardee of Dr. Robert D. Pashek and Dr. John J. Coyle Early Career Professorship in Supply Chain. Her research works have won best paper awards and have been featured on Additive Manufacturing and 3D Printing Industry. She serves as an Associate Editor for the Decision Sciences Journal.
