What is he best known for?
The fields of study he is best known for:
- Statistics
- Marketing
- Mathematical optimization
Sridhar Tayur spends much of his time researching Mathematical optimization, Average cost, Inventory control, Production inventory and Operations research.
Sridhar Tayur has researched Mathematical optimization in several fields, including Stochastic process, Mathematical economics and Computation.
His Average cost study combines topics in areas such as Value of information, Production, Order and Information flow.
His study in Inventory control is interdisciplinary in nature, drawing from both Supply chain and Collaborative planning, forecasting, and replenishment.
His Production inventory study deals with Markov chain intersecting with Dynamic programming, Simulation-based optimization and Exponential distribution.
He applies his multidisciplinary studies on Operations research and Revenue in his research.
His most cited work include:
- Quantitative Models for Supply Chain Management (844 citations)
- Value of Information in Capacitated Supply Chains (801 citations)
- Models for Supply Chains in E-Business (394 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Operations research, Supply chain, Mathematical optimization, Operations management and Inventory control.
His Operations research research includes themes of Lead time, Service level, Flow network, Structure and Time horizon.
His work on Supply chain management as part of general Supply chain study is frequently connected to Information sharing, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work in the fields of Service management overlaps with other areas such as Counterfeit.
His Mathematical optimization research is multidisciplinary, incorporating elements of Discrete time and continuous time, Computation, Kanban and Markov chain.
His studies deal with areas such as Control, Average cost, Microeconomics and Simulation-based optimization as well as Inventory control.
He most often published in these fields:
- Operations research (21.05%)
- Supply chain (18.42%)
- Mathematical optimization (16.67%)
What were the highlights of his more recent work (between 2017-2021)?
- Theoretical computer science (3.51%)
- Qubit (3.51%)
- Incentive (3.51%)
In recent papers he was focusing on the following fields of study:
Sridhar Tayur mainly investigates Theoretical computer science, Qubit, Incentive, Mutation and Morse theory.
His Theoretical computer science study integrates concerns from other disciplines, such as Graver basis, Quadratic equation, Integer programming and Random graph.
His work deals with themes such as Pricing strategies, Game theory, Industrial organization and Organizational architecture, which intersect with Incentive.
His Organizational architecture research spans across into subjects like Healthcare analytics, Snapshot and Healthcare operations management.
The Algebra study combines topics in areas such as Optimization problem and Computation.
Sridhar Tayur combines subjects such as Monomial, Complete graph and Gröbner basis with his study of Algebraic geometry.
Between 2017 and 2021, his most popular works were:
- Combating Child Labor: Incentives and Information Disclosure in Global Supply Chains (18 citations)
- OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research (15 citations)
- Graver Bases via Quantum Annealing with Application to Non-Linear Integer Programs. (8 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Marketing
- Management
Sridhar Tayur mainly focuses on Incentive, Qubit, Supply chain, Organizational architecture and Theoretical computer science.
The various areas that Sridhar Tayur examines in his Incentive study include Supply chain management, Pricing strategies, Industrial organization and Game theory.
His Supply chain research is multidisciplinary, incorporating perspectives in Preparedness, Telecommunications and Smart manufacturing.
His Organizational architecture study combines topics in areas such as Information economics and Process management.
His Theoretical computer science research is multidisciplinary, relying on both Integer, Test set, Integer programming and Random graph.
His research integrates issues of Computation, Spectral gap and Heuristic in his study of Graph.
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