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Operations Research
Operations research () (U.S. Air Force Specialty Code: Operations Analysis), often shortened to the initialism OR, is a branch of applied mathematics that deals with the development and application of analytical methods to improve management and decision-making. Although the term management science is sometimes used similarly, the two fields differ in their scope and emphasis. Employing techniques from other mathematical sciences, such as mathematical model, modeling, statistics, and mathematical optimization, optimization, operations research arrives at optimal or near-optimal solutions to decision-making problems. Because of its emphasis on practical applications, operations research has overlapped with many other disciplines, notably industrial engineering. Operations research is often concerned with determining the extreme values of some real-world objective: the Maxima and minima, maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost). Originating in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Air Force Specialty Code
The Air Force Specialty Code (AFSC) is an alphanumeric code used by the United States Air Force to identify a specific job. Officer (armed forces), Officer AFSCs consist of four characters and Enlisted rank, enlisted AFSCs consist of five characters. A letter prefix or suffix may be used with an AFSC when more specific identification of position requirements and individual qualifications is necessary. The AFSC is similar to the United States military occupation code, military occupational specialty codes (MOS Codes) used by the United States Army and the United States Marine Corps or enlisted List of United States Navy ratings, ratings and USN officer List of Naval Officer Designators, designators and Naval officer billet classifications (NOBCs) used by the United States Navy and enlisted List of United States Coast Guard ratings, ratings and USCG officer specialties used by the United States Coast Guard. The United States Space Force equivalent is known as the Space Force Specialt ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Data Envelopment Analysis
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers.Charnes et al (1978) DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applicationsCharnes et al (1995)Emrouznejad et al (2016)Thanassoulis (1995) Additionally, DEA has been used to assess the performance of natural language processing models, and it has found other applications within machine learning.Zhou et al (2022)Guerrero et al (2022) Description DEA is used to empirically measure productive efficiency of decision-making units (DMUs). Although DEA has a strong link to production theory in economics, the method is also used for benchmarking in operations management, whereby a set of measures is selected to benchmark the performance of manufacturing and service operations. In benchmarking, the efficient DMUs, as defined by DEA, may not nece ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Simulation
A simulation is an imitative representation of a process or system that could exist in the real world. In this broad sense, simulation can often be used interchangeably with model. Sometimes a clear distinction between the two terms is made, in which simulations require the use of models; the model represents the key characteristics or behaviors of the selected system or process, whereas the simulation represents the evolution of the model over time. Another way to distinguish between the terms is to define simulation as experimentation with the help of a model. This definition includes time-independent simulations. Often, computer simulation, computers are used to execute the simulation. Simulation is used in many contexts, such as simulation of technology for performance tuning or optimizing, safety engineering, testing, training, education, and video games. Simulation is also used with scientific modelling of natural systems or human systems to gain insight into their functio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Supply Chain Management
In commerce, supply chain management (SCM) deals with a system of procurement (purchasing raw materials/components), operations management, logistics and marketing channels, through which raw materials can be developed into finished products and delivered to their end customers. A more narrow definition of supply chain management is the "design, planning, execution, control, and monitoring of supply chain activities with the objective of creating net value, building a competitive infrastructure, leveraging worldwide logistics, synchronising supply with demand and measuring performance globally". This can include the movement and storage of raw materials, work-in-process inventory, finished goods, and end to end order fulfilment from the point of origin to the point of consumption. Interconnected, interrelated or interlinked networks, channels and node businesses combine in the provision of products and services required by end customers in a supply chain. SCM is the br ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Service Science
Service science, management, and engineering (SSME) is a term introduced by IBM to describe an interdisciplinary approach to the study and innovation of service systems. More precisely, SSME has been defined as the application of science, management, and engineering disciplines to tasks that one organization beneficially performs for and with another. SSME is also a proposed academic discipline and research area that would complement – rather than replace – the many disciplines that contribute to knowledge about service. The interdisciplinary nature of the field calls for a curriculum and competencies to advance the development and contribution of the field of SSME. Service systems Service systems are designed and constructed, are often very large, and, as complex systems, they have emergent properties. This makes them an engineering kind of system (in MIT's terms). For instance, large-scale service systems include major metropolitan hospitals, highway or high-rise constructio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Manufacturing
Manufacturing is the creation or production of goods with the help of equipment, labor, machines, tools, and chemical or biological processing or formulation. It is the essence of the secondary sector of the economy. The term may refer to a range of human activity, from handicraft to high-tech, but it is most commonly applied to industrial design, in which raw materials from the primary sector are transformed into finished goods on a large scale. Such goods may be sold to other manufacturers for the production of other more complex products (such as aircraft, household appliances, furniture, sports equipment or automobiles), or distributed via the tertiary industry to end users and consumers (usually through wholesalers, who in turn sell to retailers, who then sell them to individual customers). Manufacturing engineering is the field of engineering that designs and optimizes the manufacturing process, or the steps through which raw materials are transformed i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Financial Engineering
Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance.Tanya S. Beder and Cara M. Marshall, ''Financial Engineering: The Evolution of a Profession'', Wiley (June 7, 2011) 978-0470455814 Financial engineering plays a key role in a bank's customer-driven derivatives business — delivering bespoke OTC-contracts and "exotics", and implementing various structured products — which encompasses quantitative modelling, quantitative programming and risk managing financial products in compliance with the regulations and Basel capital/liquidity requirements. An older use of the term "financial engineering" that is less common today is aggressive restructuring of corporate balance sheets. Mathematical finance is the applicat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Analytics
Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. Analytics also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance. Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics. Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Computer Science
Computer science is the study of computation, information, and automation. Computer science spans Theoretical computer science, theoretical disciplines (such as algorithms, theory of computation, and information theory) to Applied science, applied disciplines (including the design and implementation of Computer architecture, hardware and Software engineering, software). Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of computational problem, problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and preventing security vulnerabilities. Computer graphics (computer science), Computer graphics and computational geometry address the generation of images. Programming language theory considers different ways to describe computational processes, and database theory concerns the management of re ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Analytic Hierarchy Process
In the theory of decision making, the analytic hierarchy process (AHP), also analytical hierarchy process, is a structured technique for organizing and analyzing MCDA, complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s; Saaty partnered with Ernest Forman to develop ''Expert Choice'' software in 1983, and AHP has been extensively studied and refined since then. It represents an accurate approach to quantifying the weights of decision criteria. Individual experts’ experiences are utilized to estimate the relative magnitudes of factors through pair-wise comparisons. Each of the respondents compares the relative importance of each pair of items using a specially designed questionnaire. The relative importance of the criteria can be determined with the help of the AHP by comparing the criteria and, if applicable, the sub-criteria in pairs by experts or decision-makers. On this basis, the best alternative can be found. Uses and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |