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 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.
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.
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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A survey of maintenance models for multi-unit systems
Danny I. Cho;Mahmut Parlar.
European Journal of Operational Research (1991)
Game theoretic analysis of the substitutable product inventory problem with random demands
Naval Research Logistics (1988)
Future supply uncertainty in EOQ models
Mahmut Parlar;Defne Berkin.
Naval Research Logistics (1991)
Inventory models of future supply uncertainty with single and multiple suppliers
Mahmut Parlar;David Perry.
Naval Research Logistics (1996)
Game Theoretic Applications in Supply Chain Management: A Review
Mingming Leng;Mahmut Parlar.
Periodic Review Production Models With Variable Yield And Uncertain Demand
Yigal Gerchak;Raymond G. Vickson;Mahmut Parlar.
Iie Transactions (1988)
Continuous-review inventory problem with random supply interruptions
European Journal of Operational Research (1997)
Demand functions in decision modeling : a comprehensive survey and research directions
Jian Huang;Mingming Leng;Mahmut Parlar.
Decision Sciences (2013)
An Inventory Problem with Two Randomly Available Suppliers
Ülkü Gürler;Mahmut Parlar.
Operations Research (1997)
Inventory models with unreliable suppliersin a random environment
Süleyman Özekici;Mahmut Parlar.
Annals of Operations Research (1999)
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