The scientist’s investigation covers issues in Autocorrelation, Mathematical optimization, Monte Carlo method, Stochastic process and Queueing theory. His Autocorrelation study combines topics from a wide range of disciplines, such as Autocovariance, Marginal distribution, Parameter space, Computer graphics and Autoregressive model. His work in Mathematical optimization addresses issues such as Applied mathematics, which are connected to fields such as Monotonic function, Sequence and Quadratic equation.
His work carried out in the field of Monte Carlo method brings together such families of science as Theoretical computer science, Data mining, Markov process, Industrial engineering and Real-time computing. His study looks at the relationship between Industrial engineering and fields such as Markov model, as well as how they intersect with chemical problems. His Queueing theory research is multidisciplinary, relying on both Service, Independence, Simple, Queue and Discrete phase-type distribution.
Benjamin Melamed mainly investigates Autocorrelation, Mathematical optimization, Queueing theory, Stochastic process and Applied mathematics. The concepts of his Autocorrelation study are interwoven with issues in Algorithm, Monte Carlo method, Autoregressive model and Marginal distribution. Many of his research projects under Mathematical optimization are closely connected to Build to stock with Build to stock, tying the diverse disciplines of science together.
He interconnects Discrete mathematics, Markov process, Flow network, Poisson distribution and Telecommunications network in the investigation of issues within Queueing theory. In his research, Real-time computing is intimately related to Network packet, which falls under the overarching field of Telecommunications network. He works mostly in the field of Stochastic process, limiting it down to topics relating to Stochastic modelling and, in certain cases, Point process, as a part of the same area of interest.
Benjamin Melamed mostly deals with Supply chain, Finance, Pandemic, Theory of constraints and Service. His Supply chain research incorporates themes from Inventory valuation and Little's law. His work in the fields of Working capital, Credit crunch, Market liquidity and Line of credit overlaps with other areas such as Credit limit.
In his papers, Benjamin Melamed integrates diverse fields, such as Pandemic, Value, Chain, Control, Action plan and Bottleneck. Benjamin Melamed integrates Chain with Supply chain management in his study. His Supply chain management research includes themes of Scalability, Software deployment, Profit, Industrial organization and Dynamic pricing.
Supply chain management, Management science, Retrospective analysis, Engineering management and Project complexity are his primary areas of study. His Supply chain management research integrates issues from Control, Service and Finance. His biological study spans a wide range of topics, including Project management and Aerospace.
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Traffic modeling for telecommunications networks
V.S. Frost;B. Melamed.
IEEE Communications Magazine (1994)
Simulation Modeling and Analysis with ARENA
Tayfur Altiok;Benjamin Melamed.
Modern simulation and modeling
Reuven Y. Rubinstein;Benjamin Melamed.
The Impact of Autocorrelation on Queuing Systems
Miron Livny;Benjamin Melamed;Athanassios K. Tsiolis.
Management Science (1993)
Perturbation analysis for online control and optimization of stochastic fluid models
C.G. Cassandras;Y. Wardi;B. Melamed;Gang Sun.
IEEE Transactions on Automatic Control (2002)
The transition and autocorrelation structure of tes processes
David L. Jagerman;Benjamin Melamed.
Stochastic Models (1992)
Stochastic modeling of traffic processes
David L. Jagerman;Benjamin Melamed;Walter Willinger.
Frontiers in queueing (1998)
TES: A Class of Methods for Generating Autocorrelated Uniform Variates
Informs Journal on Computing (1991)
Randomization Procedures in the Computation of Cumulative-Time Distributions over Discrete State Markov Processes
Benjamin Melamed;Micha Yadin.
Operations Research (1984)
Modeling and Analysis of Reverse Logistics
Dale S. Rogers;Benjamin Melamed;Ronald S. Lembke.
Journal of Business Logistics (2012)
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