Sridhar Tayur
University Professor | Carnegie Mellon University
Pittsburgh, PA, UNITED STATES
Sridhar Tayur's research interests involve quantum computing, health care operations and supply chain management
Biography
Sridhar Tayur's research interests involve quantum computing, health care operations and supply chain management. He has called himself an "academic capitalist," having founded supply chain software company SmartOps (acquired by SAP) that created the market for Enterprise Inventory Optimization (EIO), and then created OrganJet, a company that helps match multi-list people who need a kidney or a liver transplant with available organs and ensures them fast transportation via private jet to a transplant center.
Areas of Expertise (3)
Quantum Computing
Healthcare Operations
Supply Chain Management
Media Appearances (5)
Supply Chain Experts Weigh In: What Could Happen In 2022 As The Crisis Continues
Forbes online
2021-12-07
Sridhar Tayur, professor of operations management at Carnegie Mellon University’s Tepper School of Business, said the future of the crisis depends on these 4 Ps: Product Prices, People and Politics.
SpaceX prepares to send first all-civilian crew into orbit
Reuters online
2021-09-12
"Do you have to be both rich and brave to get on these flights right now?" Sridhar Tayur, a professor of operations management and new business models at Carnegie Mellon University in Pittsburgh, asked in an interview with Reuters on Friday.
Rental car alternatives for summer travel
The Washington Post online
2021-06-09
“The supply of cars dropped tremendously due to car rental companies having to sell them off to cut costs,” explains Sridhar Tayur, professor of operations management at Carnegie Mellon University’s Tepper School of Business. “The demand for rentals increased because of vaccinations and other conditions conducive to travel. Adding new cars to the fleet is hard because of a chip shortage restricting car production.”
Bootleg alcohol is an insidious international threat, and one expert says it's especially dangerous when it's slipped into a legitimate supply chain
Business Insider online
2019-08-18
But, according to Carnegie Mellon professor Sridhar Tayur, counterfeit booze can also be slipped into perfectly legitimate supply chains.
Tariffs are just the latest reason for tech companies to move out of China
NBC News online
2019-06-24
"Some of this is a long time coming," said Sridhar Tayur, professor of operations management at Carnegie Mellon University's Tepper School of Business. "They have been thinking about it for some time and adding new capacity in other places, so this is less of a sudden shift than you might think."
Media
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Industry Expertise (4)
Logistics and Supply Chain
Computer Software
Computer Hardware
Health Care - Facilities
Accomplishments (5)
INFORMS Service Science Best Paper Award - Finalist (professional)
2022
MSOM Best Paper Award (professional)
2022
INFORMS Public Sector (PSOR) Best Paper Award (professional)
2022
NSF Distinguished Lecture (professional)
2021
Pierskalla Award (professional)
2021
Education (3)
Cornell University: Ph.D., Operations Research and Industrial Engineering 1990
Cornell University: M.S., Operations Research and Industrial Engineering
Indian Institute of Technology Madras: B.Tech., Mechanical Engineering 1986
Links (3)
Event Appearances (2)
Causal Inference with Selectively Deconfounded Data
(2021) AISTATS
Integer Programming techniques for minor-embedding in quantum annealers
(2020) CPAIOR
Articles (5)
Awarding additional MELD points to the shortest waitlist candidates improves sex disparity in access to liver transplant in the United States
American Journal of Transplantation2022 Since the introduction of the MELD‐based allocation system, women are now 30% less likely than men to undergo liver transplant (LT) and have 20% higher waitlist mortality. These disparities are in large part due to height differences in men and women though no national policies have been implemented to reduce sex disparities. Patients were identified using the Scientific Registry of Transplant Recipients (SRTR) from 2014 to 2019.
Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance
Production and Operations ManagementProduction and Operations Management
2022 The role of artificial intelligence (AI) in augmenting healthcare is expected to grow substantially in future decades. Current research in medical AI focuses on developing, validating, and implementing point‐level AI applications in an ad hoc manner. To harness the full power of AI to improve the patient experience and outcomes at a societal scale, however, requires a gestalt shift—with a systematic understanding of AI in the context of healthcare—and so results in its widespread adoption.
Ethics of split liver transplantation: should a large liver always be split if medically safe?
Journal of Medical Ethics2022 Split liver transplantation (SLT) provides an opportunity to divide a donor liver, offering transplants to two small patients (one or both could be a child) rather than keeping it whole and providing a transplant to a single larger adult patient. In this article, we attempt to address the following question that is identified by the Organ Procurement and Transplant Network and United Network for Organ Sharing: ‘Should a large liver always be split if medically safe?’
Video intervention to increase decedent tissue donation by next‐of‐kin
Production and Operations Management2022 Over 60% of decedents in the United States have not given first‐person consent for tissue donation; thus, receiving consent from next‐of‐kin (NOK) is a potentially powerful way to improve access to donor tissues. As a more informed NOK is more likely to consent to tissue donation, we introduced the delivery of two alternative videos that discuss the benefits of donation as part of the donation request.
Effective online order acceptance policies for omnichannel fulfillment
Manufacturing & Service Operations Management2022 Problem definition: Omnichannel retailing has led to the use of traditional stores as fulfillment centers for online orders. Omnichannel fulfillment problems have two components: (1) accepting a certain number of online orders prior to seeing store demands and (2) satisfying (or filling) some of these accepted online demands as efficiently as possible with any leftover inventory after store demands have been met.
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