Tinglong Dai | |
---|---|
Nationality | American |
Academic career | |
Field | Operations management Health care analytics Supply chain management |
Institution | Johns Hopkins University |
Alma mater | Carnegie Mellon University (PhD, 2013) Hong Kong University of Science and Technology (MPhil, 2006) Tongji University (BEng, 2004) |
Doctoral advisor | Sridhar Tayur Katia Sycara |
Website | carey |
Tinglong Dai is the Bernard T. Ferrari Professor of Business and Professor of Operations Management and Business Analytics at the Carey Business School, Johns Hopkins University, with expertise in the areas of healthcare analytics, global supply chains, the interfaces between marketing and operations, and human–AI interaction. [1] Dai's research primarily examines the health care ecosystem using analytics approaches, with a focus on behavioral, incentive, and policy issues related to healthcare operations management. [2] [3]
In particular, he has worked extensively on the analysis and design of vaccine supply chains, including influenza vaccine contracting, [4] COVID-19 vaccination, [5] [6] [7] [8] and next-generation vaccine manufacturing. [9] He is considered "one of the nation's foremost experts on vaccine distribution." [10]
Dai earned his B.Eng. in Automation from Tongji University in 2004, MPhil in Industrial Engineering from the Hong Kong University of Science and Technology in 2006, and PhD in Operations Management and Robotics from Carnegie Mellon University in 2013, with Sridhar Tayur and Katia Sycara as his dissertation co-chairs.
Dai joined the faculty of Johns Hopkins in 2013 as an assistant professor at the Carey Business School, was promoted to an associate professor in 2018, and became a tenured full professor in 2021. In 2024, he was named as the inaugural Bernard T. Ferrari Professor of Business. [11]
The business education website Poets & Quants named him one of the World's Best 40 Under 40 Business School Professors. [12] [13] For his multidisciplinary research on healthcare analytics and artificial intelligence, he won the Johns Hopkins Discovery Award three times, in 2015, 2020, and 2022, respectively. [14] [15] [16]
At Johns Hopkins University, Dai holds a joint faculty appointment in the Johns Hopkins School of Nursing. He serves on the leadership team of the university-wide Hopkins Business of Health Initiative [17] and the executive committee of the Institute for Data Intensive Engineering and Science. [18]
He has served on the editorial boards of Manufacturing & Service Operations Management , Production and Operations Management , Naval Research Logistics , and Health Care Management Science.
Dai is known for his work in behavioral, incentive, and policy issues in managing healthcare operations. [19] His work has found applications in a variety of settings, most notably in vaccine supply chains, [4] [6] vaccination, [5] organ donation, [20] organ transplantation, [21] diagnostic decision-making, [22] [23] and incorporating AI into healthcare delivery. [24] His research has appeared in leading academic journals, including Management Science, Manufacturing & Service Operations Management , Marketing Science, and Operations Research, and has won First Place in the Production and Operations Management Society's College of Healthcare Operations Management's Best Paper Competition, the INFORMS Public Sector Operations Research Best Paper Award, and the INFORMS Pierskalla Award for Best Paper Award in Healthcare (runner-up), among other best paper awards. [1]
Throughout the COVID-19 pandemic, Dai has written and spoken extensively about the importance of and means to improving the resiliency and transparency of the U.S. personal protective equipment supply chain. [25] [26] [27] [28] [29] [30] [31] [3] According to a 2021 Fortune Magazine article, "Dai has relentlessly advocated for regulations making supply chains more transparent." [32]
Related to the interfaces between marketing and operations, Dai's work is among the first to introduce inventory and supply chain constraints to the study of sales force compensation, through the study of a series of moral-hazard principal–agent problems. [33] [34] [35] [36]
He co-edited (with Sridhar Tayur) the first desk reference on healthcare analytics, Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations, which was published by John Wiley & Sons in 2018. [37]
Dai has been quoted hundreds of times in the popular media, including the Associated Press , [38] [39] Bloomberg News , [40] CNN, [41] [42] Fortune, [43] [44] [45] [46] [47] The New York Times , [48] [49] [50] [51] [52] [53] [54] [55] NPR, [56] USA Today , [57] [58] [59] The Wall Street Journal , [60] and The Washington Post , [61] [62] and has appeared on national and international TV, such as CNBC, [63] PBS NewsHour, [3] and Sky News. In 2021, Poets & Quants named him one of the World's Best 40 Under 40 Business School Professors. [12] [13]
Kanban is a scheduling system for lean manufacturing. Taiichi Ohno, an industrial engineer at Toyota, developed kanban to improve manufacturing efficiency. The system takes its name from the cards that track production within a factory. Kanban is also known as the Toyota nameplate system in the automotive industry.
The bullwhip effect is a supply chain phenomenon where orders to suppliers tend to have a larger variability than sales to buyers, which results in an amplified demand variability upstream. In part, this results in increasing swings in inventory in response to shifts in consumer demand as one moves further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. It has been described as "the observed propensity for material orders to be more variable than demand signals and for this variability to increase the further upstream a company is in a supply chain". Research at Stanford University helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to sell the excess inventory. While successful in generating the desired market pull, manufacturing did not know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.
Behavioral operations management examines and takes into consideration human behaviours and emotions when facing complex decision problems. It relates to the behavioral aspects of the use of operations research and operations management. In particular, it focuses on understanding behavior in, with and beyond models. The general purpose is to make better use and improve the use of operations theories and practice, so that the benefits received from the potential improvements to operations approaches in practice, that arise from recent findings in behavioral sciences, are realized. Behavioral operations approaches have heavily influenced supply chain management research among others.
Ekaterini Panagiotou Sycara is a Greek computer scientist. She is an Edward Fredkin Research Professor of Robotics in the Robotics Institute, School of Computer Science at Carnegie Mellon University internationally known for her research in artificial intelligence, particularly in the fields of negotiation, autonomous agents and multi-agent systems. She directs the Advanced Agent-Robotics Technology Lab at Robotics Institute, Carnegie Mellon University. She also serves as academic advisor for PhD students at both Robotics Institute and Tepper School of Business.
Awi Federgruen is a Dutch/American mathematician and operations researcher and Charles E. Exley Professor of Management at the Columbia Business School and affiliate professor at the university's Fu Foundation School of Engineering and Applied Science.
The Sethi model was developed by Suresh P. Sethi and describes the process of how sales evolve over time in response to advertising. The model assumes that the rate of change in sales depend on three effects: response to advertising that acts positively on the unsold portion of the market, the loss due to forgetting or possibly due to competitive factors that act negatively on the sold portion of the market, and a random effect that can go either way.
Suresh P. Sethi is an American mathematician who is the Eugene McDermott Chair of Operations Management and Director of the Center for Intelligent Supply Networks at the University of Texas at Dallas.
Sridhar R. Tayur is an American business professor, entrepreneur, and management thinker. He is university professor of operations management and Ford Distinguished Research Chair at the Tepper School of Business, Carnegie Mellon University, and the founder of SmartOps Corporation and OrganJet Corporation.
Maqbool Dada is a professor at Carey Business School, Johns Hopkins University, with expertise in the areas of operations management, healthcare, and marketing. He is also a core faculty member at the Johns Hopkins School of Medicine’s Armstrong Institute for Patient Safety and Quality.
Retail back-office software is used to manage business operations that are not related to direct sales efforts and interfaces that are not seen by consumers. Typically, the business processes managed with back-office software include some combination of inventory control, price book management, manufacturing, and supply chain management (SCM). Back-office software is distinct from front-office software, which typically refers to customer relationship management (CRM) software used for managing sales, marketing, and other customer-centric activities.
Özalp Özer is an American business professor specializing in pricing science and operations research. He is the Ashbel Smith Professor of Management Science at the Naveen Jindal School of Management and also currently serves as an affiliated faculty at the MIT Sloan School of Management.
Steven Nahmias is an author and professor of operations management at Santa Clara University. He is best known for his contributions to inventory theory, and, in particular, perishable inventory theory. He is also the author of Production and Operations Analysis, a preeminent text in the field. He is currently an Honorary Fellow of INFORMS and MSOM.
In supply chain management, supply chain collaboration is defined as two or more autonomous firms working jointly to plan and execute supply chain operations. It can deliver substantial benefits and advantages to collaborators. It is known as a cooperative strategy when one or more companies or business units work together to create mutual benefits. There are two main types of supply chain collaboration: vertical collaboration and horizontal collaboration. Vertical collaboration is the collaboration when two or more organizations from different levels or stages in supply chain share their responsibilities, resources, and performance information to serve relatively similar end customers; while horizontal collaboration is an inter-organizational systemrelationship between two or more companies at the same level or stage in the supply chain in order to allow greater ease of work and cooperation towards achieving a common objective.
Kamalini Ramdas is a Professor of Management Science and Operations and Deloitte Chair in Innovation & Entrepreneurship at London Business School, with expertise in the areas of innovation, entrepreneurship, and operations management. Ramdas' research examines innovative approaches, including service innovation, operational innovation, and business model innovation, to accelerate value creation in various service and manufacturing industries.
Eva Dorothy Regnier is a decision scientist whose research concerns the interaction between human decision-making and environmental prediction. She is a professor of decision science in the Graduate School of Business and Public Policy of the Naval Postgraduate School.
Pınar Keskinocak is a Turkish-American systems engineer at the Georgia Institute of Technology, where she is William W. George Chair, Professor of Industrial and Systems Engineering, Director of the Center for Health and Humanitarian Systems, and College of Engineering ADVANCE Professor. Her research involves the application of operations research and management science to health care and supply-chain management. She is the former president of INFORMS.
Panos (Panagiotis) Kouvelis is the Emerson Distinguished Professor of Supply Chain, Operations, and Technology and director of The Boeing Center for Supply Chain Innovation at the Olin Business School at Washington University in St. Louis. He is best known for his work on supply chain management, supply chain finance, operational excellence, and risk management.
As of 12 August 2024, 13.53 billion COVID-19 vaccine doses have been administered worldwide, with 70.6 percent of the global population having received at least one dose. While 4.19 million vaccines were then being administered daily, only 22.3 percent of people in low-income countries had received at least a first vaccine by September 2022, according to official reports from national health agencies, which are collated by Our World in Data.
Haresh Gurnani is an Indian-American academic administrator, professor and current Dean of the Stony Brook University College of Business since July 2023. Prior to joining Stony Brook, he held multiple leadership positions at Wake Forest University, including serving as area chair of Business Analytics, Operations Management, Marketing, and Economics in the School of Business.
Guillermo Gallego is an American data scientist, academic and author. He is the Liu Family Emeritus professor at Columbia University, the Crown Worldwide Professor Emeritus at The Hong Kong University of Science and Technology and is the X.Q. Deng Presidential Chair Professorship at The Chinese University of Hong Kong, Shenzhen.