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Mark E. Lewis (engineer)
Mark Edwin Lewis (born 1970) is an American industrial engineer and professor at Cornell University. He was the first African-American faculty member hired in Industrial Engineering at University of Michigan and the first tenured African-American faculty member at the School of Operations Research and Information Engineering at Cornell University. Lewis' research is focused on stochastic processes, and queueing theory and Markov decision processes in particular. Education Lewis received a BS degree in mathematics and a BA degree in political science at Eckerd College, graduating in 1992. He proceeded to earn an MS degree in theoretical statistics from Florida State University in 1995 and a PhD degree in industrial and systems engineering from Georgia Tech in 1998. Lewis' PhD thesis ''Bias Optimality in a Two-Class Nonstationary Queueing System'' at Georgia Tech was advised by Robert E. Foley. Career After his PhD, Lewis spent a year at the University of British Columbia ...
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Niceville, Florida
Niceville is a city in Okaloosa County, Florida, United States, located near Eglin Air Force Base on Boggy Bayou that opens into Choctawhatchee Bay. It is part of the Crestview- Fort Walton Beach-Destin, Florida Metropolitan Statistical Area. The population was 15,772 at the 2020 census, up from 12,749 at the 2010 census. History When mail service began on July 21, 1868, the city was known as Boggy, and on November 5, 1910, the name was officially changed to Niceville. The name Niceville was selected by the postmaster's daughter. In 1915, Niceville became part of newly formed Okaloosa County after previously being in Walton County. It is a twin city along with Valparaiso, which borders it on the west side of the city. Geography According to the United States Census Bureau, the city has a total area of , of which is land and is water. Climate Demographics 2010 and 2020 census As of the 2020 United States census, there were 15,772 people, 5,454 households, and 4,15 ...
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University Of British Columbia
The University of British Columbia (UBC) is a Public university, public research university with campuses near University of British Columbia Vancouver, Vancouver and University of British Columbia Okanagan, Kelowna, in British Columbia, Canada. With an annual research budget of $893million, UBC funds 9,992 projects annually in various fields of study within the industrial sector, as well as governmental and non-governmental organizations. The Vancouver campus is situated on the University of British Columbia Vancouver, Point Grey campus lands, an unincorporated area next to the City of Vancouver and the University Endowment Lands.Municipalities Enabling and Validating Act (No. 3)', S.B.C. 2001, c. 44. The university is located west of Downtown Vancouver. UBC is also home to TRIUMF, Canada's national Particle physics, particle and nuclear physics laboratory, which boasts the world's largest cyclotron. In addition to the Peter Wall Institute for Advanced Studies and the Stuart B ...
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Alfred P
Alfred may refer to: Arts and entertainment *'' Alfred J. Kwak'', Dutch-German-Japanese anime television series * ''Alfred'' (Arne opera), a 1740 masque by Thomas Arne * ''Alfred'' (Dvořák), an 1870 opera by Antonín Dvořák *"Alfred (Interlude)" and "Alfred (Outro)", songs by Eminem from the 2020 album '' Music to Be Murdered By'' Business and organisations * Alfred, a radio station in Shaftesbury, England * Alfred Music, an American music publisher * Alfred University, New York, U.S. * The Alfred Hospital, a hospital in Melbourne, Australia People * Alfred (name) includes a list of people and fictional characters called Alfred * Alfred the Great (848/49 – 899), or Alfred I, a king of the West Saxons and of the Anglo-Saxons Places Antarctica * Mount Alfred (Antarctica) Australia * Alfredtown, New South Wales * County of Alfred, South Australia Canada * Alfred and Plantagenet, Ontario ** Alfred, Ontario, a community in Alfred and Plantagenet * Alfred Island, Nunavu ...
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National Science Foundation
The U.S. National Science Foundation (NSF) is an Independent agencies of the United States government#Examples of independent agencies, independent agency of the Federal government of the United States, United States federal government that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health. With an annual budget of about $9.9 billion (fiscal year 2023), the NSF funds approximately 25% of all federally supported basic research conducted by the List of American institutions of higher education, United States' colleges and universities. In some fields, such as mathematics, computer science, economics, and the social sciences, the NSF is the major source of federal backing. NSF's director and deputy director are appointed by the president of the United States and Advice and consent, confirmed by the United States Senate, whereas the 24 president-appointed members of the ...
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Revenue Management
Revenue management (RM) is a discipline to maximize profit by optimizing rate (ADR) and occupancy (Occ). In its day to day application the maximization of Revenue per Available Room (RevPAR) is paramount. It is seen by some as synonymous with yield management. Overview Businesses face important decisions regarding what to sell, when to sell, to whom to sell, and for how much. Revenue management uses data-driven tactics and strategy to answer these questions in order to increase revenue.Talluri, K., and van Ryzin, G. (1999) Revenue Management: Research Overview and Prospects. Transportation Science 33:233-256. The discipline of revenue management (RM) is also known as Yield Management (YM), and is a cross-disciplinary field. It combines operations research or management science, analytics, economics, human resource management, software development, marketing, e-commerce, consumer behaviour, and consulting. For destinations with benchmark data available the maximization of RG ...
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Inventory Theory
Material theory (or more formally the mathematical theory of inventory and production) is the sub-specialty within operations research and operations management that is concerned with the design of production/inventory systems to minimize costs: it studies the decisions faced by firms and the military in connection with manufacturing, warehousing, supply chains, spare part allocation and so on and provides the mathematical foundation for logistics. The inventory control problem is the problem faced by a firm that must decide how much to order in each time period to meet demand for its products. The problem can be modeled using mathematical techniques of optimal control, dynamic programming and flow network, network optimization. The study of such models is part of inventory theory. Issues One issue is infrequent large orders vs. frequent small orders. Large orders will increase the amount of inventory on hand, which is costly, but may benefit from volume discounts. Frequent order ...
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Mathematical Optimization
Mathematical optimization (alternatively spelled ''optimisation'') or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the more general approach, an optimization problem consists of maxima and minima, maximizing or minimizing a Function of a real variable, real function by systematically choosing Argument of a function, input values from within an allowed set and computing the Value (mathematics), value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. Optimization problems Opti ...
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Market Segmentation
In marketing, market segmentation or customer segmentation is the process of dividing a consumer or business market into meaningful sub-groups of current or potential customers (or consumers) known as ''segments''. Its purpose is to identify profitable and growing segments that a company can target with distinct marketing strategies. In dividing or segmenting markets, researchers typically look for common characteristics such as shared needs, common interests, similar lifestyles, or even similar demographic profiles. The overall aim of segmentation is to identify ''high-yield segments'' – that is, those segments that are likely to be the most profitable or that have growth potential – so that these can be selected for special attention (i.e. become target markets). Many different ways to segment a market have been identified. Business-to-business (B2B) sellers might segment the market into different types of businesses or countries, while business-to-consumer (B2C) seller ...
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Resource Allocation
In economics, resource allocation is the assignment of available resources to various uses. In the context of an entire economy, resources can be allocated by various means, such as markets, or planning. In project management, resource allocation or resource management is the scheduling of activities and the resources required by those activities while taking into consideration both the resource availability and the project time. Economics In economics, the field of public finance deals with three broad areas: macroeconomic stabilization, the distribution of income and wealth, and the allocation of resources. Much of the study of the allocation of resources is devoted to finding the conditions under which particular mechanisms of resource allocation lead to Pareto efficient outcomes, in which no party's situation can be improved without hurting that of another party. Strategic planning In strategic planning, resource allocation is a plan for using available resources, fo ...
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Queueing Theory
Queueing theory is the mathematical study of waiting lines, or queues. A queueing model is constructed so that queue lengths and waiting time can be predicted. Queueing theory is generally considered a branch of operations research because the results are often used when making business decisions about the resources needed to provide a service. Queueing theory has its origins in research by Agner Krarup Erlang, who created models to describe the system of incoming calls at the Copenhagen Telephone Exchange Company. These ideas were seminal to the field of teletraffic engineering and have since seen applications in telecommunications, traffic engineering, computing, project management, and particularly industrial engineering, where they are applied in the design of factories, shops, offices, and hospitals. Spelling The spelling "queueing" over "queuing" is typically encountered in the academic research field. In fact, one of the flagship journals of the field is '' Queue ...
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Stationary Process
In mathematics and statistics, a stationary process (also called a strict/strictly stationary process or strong/strongly stationary process) is a stochastic process whose statistical properties, such as mean and variance, do not change over time. More formally, the joint probability distribution of the process remains the same when shifted in time. This implies that the process is statistically consistent across different time periods. Because many statistical procedures in time series analysis assume stationarity, non-stationary data are frequently transformed to achieve stationarity before analysis. A common cause of non-stationarity is a trend in the mean, which can be due to either a unit root or a deterministic trend. In the case of a unit root, stochastic shocks have permanent effects, and the process is not mean-reverting. With a deterministic trend, the process is called trend-stationary, and shocks have only transitory effects, with the variable tending towards a determin ...
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Optimal Control
Optimal control theory is a branch of control theory that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and operations research. For example, the dynamical system might be a spacecraft with controls corresponding to rocket thrusters, and the objective might be to reach the Moon with minimum fuel expenditure. Or the dynamical system could be a nation's economy, with the objective to minimize unemployment; the controls in this case could be fiscal and monetary policy. A dynamical system may also be introduced to embed operations research problems within the framework of optimal control theory. Optimal control is an extension of the calculus of variations, and is a mathematical optimization method for deriving control policies. The method is largely due to the work of Lev Pontryagin and Richard Bellman in the 1950s, after contributions to calculus of v ...
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