What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Marketing
The scientist’s investigation covers issues in Mathematical optimization, Operations research, Network planning and design, Supply chain and Stochastic programming.
His Mathematical optimization research is multidisciplinary, relying on both Scheduling, Service system and Nonlinear programming.
His Operations research research includes themes of Berth allocation problem and Simulated annealing.
Chung-Piaw Teo combines subjects such as Facility location problem, Flow network, Direct shipment and Inventory control with his study of Network planning and design.
His studies deal with areas such as Microeconomics, Fixed price and Portfolio as well as Stochastic programming.
His Exact algorithm research includes elements of Piecewise linear function, Approximation algorithm and Heuristic.
His most cited work include:
- Stochastic Transportation-Inventory Network Design Problem (232 citations)
- The stochastic location model with risk pooling (230 citations)
- From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization (195 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mathematical optimization, Operations research, Linear programming, Approximation algorithm and Supply chain.
As part of his studies on Mathematical optimization, Chung-Piaw Teo frequently links adjacent subjects like Discrete choice.
The concepts of his Operations research study are interwoven with issues in Fixed cost, Service level and Flexibility.
His Linear programming study combines topics from a wide range of disciplines, such as Time complexity, Stable roommates problem and Matching.
His Stable roommates problem study integrates concerns from other disciplines, such as Heuristic and Polytope.
His Supply chain study combines topics in areas such as Probabilistic logic and Microeconomics.
He most often published in these fields:
- Mathematical optimization (40.85%)
- Operations research (15.49%)
- Linear programming (13.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (40.85%)
- Operations research (15.49%)
- Schedule (6.34%)
In recent papers he was focusing on the following fields of study:
Chung-Piaw Teo mainly focuses on Mathematical optimization, Operations research, Schedule, Supply chain and Set.
His Heuristics study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Bundle, bridging the gap between disciplines.
Chung-Piaw Teo has researched Operations research in several fields, including TRIPS architecture, Bus transit, Customer segment and Flow network.
His study looks at the relationship between Supply chain and fields such as Variety, as well as how they intersect with chemical problems.
His work carried out in the field of Set brings together such families of science as Marketing, Purchasing and Product.
His Order statistic research incorporates elements of Covariance matrix, Semidefinite programming and Discrete choice.
Between 2017 and 2021, his most popular works were:
- Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited (23 citations)
- Profit Sharing Agreements in Decentralized Supply Chains: A Distributionally Robust Approach (16 citations)
- Appointment Scheduling Under Time-Dependent Patient No-Show Behavior (10 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Marketing
Chung-Piaw Teo focuses on Supply chain, Operations management, Microeconomics, Schedule and Variety.
His work deals with themes such as Stackelberg competition and Profit, which intersect with Supply chain.
His Operations management study incorporates themes from Index, Appointment scheduling and Service.
His work on Dynamic pricing as part of general Microeconomics research is often related to Competitive analysis, thus linking different fields of science.
By researching both Idle and Mathematical optimization, he produces research that crosses academic boundaries.
The various areas that Chung-Piaw Teo examines in his Mathematical optimization study include Service provider and Reduction.
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