What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Statistics
- Mathematical optimization
Mathematical optimization, Operations research, Economic order quantity, Mathematical economics and Inventory control are his primary areas of study.
His Operations research research is multidisciplinary, relying on both Function and Operations management.
His Operations management study integrates concerns from other disciplines, such as Variety, Optimal maintenance and Control.
His Economic order quantity research incorporates themes from Average cost, Randomness and Random variable.
His work on Non-cooperative game is typically connected to Stock, Period problem and Solution structure as part of general Mathematical economics study, connecting several disciplines of science.
His study in Inventory control is interdisciplinary in nature, drawing from both Profit, Markov process and Incentive.
His most cited work include:
- A survey of maintenance models for multi-unit systems (573 citations)
- Game theoretic analysis of the substitutable product inventory problem with random demands (303 citations)
- Inventory models of future supply uncertainty with single and multiple suppliers (195 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Operations research, Mathematical economics, Microeconomics and Optimal control.
Mahmut Parlar has researched Mathematical optimization in several fields, including Stochastic process, Random variable and Economic order quantity.
Mahmut Parlar has included themes like Newsvendor model and Inventory control in his Economic order quantity study.
Mahmut Parlar combines subjects such as Production, Queueing theory and Operations management with his study of Operations research.
Mahmut Parlar works mostly in the field of Mathematical economics, limiting it down to concerns involving Function and, occasionally, Simple and Constant.
His Stackelberg competition research includes elements of Supply chain and Game theory.
He most often published in these fields:
- Mathematical optimization (44.44%)
- Operations research (22.96%)
- Mathematical economics (15.56%)
What were the highlights of his more recent work (between 2011-2021)?
- Mathematical optimization (44.44%)
- Microeconomics (11.85%)
- Queueing theory (6.67%)
In recent papers he was focusing on the following fields of study:
Mahmut Parlar mainly investigates Mathematical optimization, Microeconomics, Queueing theory, Queue and Dynamic programming.
His studies deal with areas such as Total cost, Real-time computing and State as well as Mathematical optimization.
In the field of Microeconomics, his study on Game analysis, Shapley value, Profit and Incentive overlaps with subjects such as Principal–agent problem.
His Queueing theory research includes themes of Nonlinear programming and Operations research.
His Operations research research incorporates elements of Index and Linear algebra.
His Dynamic programming research is multidisciplinary, incorporating perspectives in State vector and Random variable.
Between 2011 and 2021, his most popular works were:
- Demand functions in decision modeling : a comprehensive survey and research directions (161 citations)
- Online retailers’ promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis (54 citations)
- Interactive Operations Research with Maple: Methods and Models (24 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Statistics
- World War II
Mahmut Parlar mainly focuses on Profit, Budget constraint, Supply chain, Real-time computing and Queueing theory.
His Profit study incorporates themes from Cooperative game theory, Shapley value and Game analysis.
His work carried out in the field of Budget constraint brings together such families of science as Completion time, Erlang, Exponential function and Process.
The Supply chain study combines topics in areas such as Dependency and Mathematical optimization.
The concepts of his Real-time computing study are interwoven with issues in Queue, Closed-form expression and Service management.
His research in Queueing theory intersects with topics in Index, Linear algebra and Operations research.
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