SettingsOperations research
1-center problem
The 1-center problem or minimax or minmax location problem is a classical combinatorial optimization problem in operations research of facilities location type.
The 1-center problem or minimax or minmax location problem is a classical combinatorial optimization problem in operations research of facilities location type.
AIMMS
AIMMS is a software system designed for modeling and solving large-scale optimization and scheduling-type problems.
AIMMS is a software system designed for modeling and solving large-scale optimization and scheduling-type problems.
Algebraic modeling language
Algebraic Modeling Languages are high-level computer programming languages for describing and solving high complexity problems for large scale mathematical computation.
Algebraic Modeling Languages are high-level computer programming languages for describing and solving high complexity problems for large scale mathematical computation.
Algorithm design
Algorithm design is a specific method to create a mathematical process in solving problems.
Algorithm design is a specific method to create a mathematical process in solving problems.
Algorithm engineering
Algorithm engineering is a combination of theoretical algorithm design with real-world data.
Algorithm engineering is a combination of theoretical algorithm design with real-world data.
AMPL
AMPL, an acronym for "A Mathematical Programming Language", is an algebraic modeling language for describing and solving high-complexity problems for large-scale mathematical computation (i.e.
AMPL, an acronym for "A Mathematical Programming Language", is an algebraic modeling language for describing and solving high-complexity problems for large-scale mathematical computation (i.e.
Analytic Hierarchy Process
The Analytic Hierarchy Process is a structured technique for organizing and analyzing complex decisions.
The Analytic Hierarchy Process is a structured technique for organizing and analyzing complex decisions.
Analytic network process
The analytic network process (ANP) is a more general form of the analytic hierarchy process (AHP) used in multi-criteria decision analysis.
The analytic network process (ANP) is a more general form of the analytic hierarchy process (AHP) used in multi-criteria decision analysis.
Analytica (software)
Analytica is a visual software package developed by Lumina Decision Systems for creating, analyzing and communicating quantitative decision models.
Analytica is a visual software package developed by Lumina Decision Systems for creating, analyzing and communicating quantitative decision models.
Ariadne's thread (logic)
Ariadne's thread, named for the legend of Ariadne, is the term used to describe the solving of a problem with multiple apparent means of proceeding - such as a physical maze, a logic puzzle, or ...
Ariadne's thread, named for the legend of Ariadne, is the term used to describe the solving of a problem with multiple apparent means of proceeding - such as a physical maze, a logic puzzle, or ...
Backtracking
Backtracking is a general algorithm for finding all solutions to some computational problem, that incrementally builds candidates to the solutions, and abandons each partial candidate c as ...
Backtracking is a general algorithm for finding all solutions to some computational problem, that incrementally builds candidates to the solutions, and abandons each partial candidate c as ...
Bayesian experimental design
Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived.
Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived.
Behavioral operations research
Behavioral operations research (BOR) examines the behavior of actual human agents in complex decision problems.
Behavioral operations research (BOR) examines the behavior of actual human agents in complex decision problems.
Berth allocation problem
The berth allocation problem is an NP-complete problem in operations research, regarding the allocation of berth space for vessels in container terminals.
The berth allocation problem is an NP-complete problem in operations research, regarding the allocation of berth space for vessels in container terminals.
Big M method
In operations research, the Big M method is a method of solving linear programming problems.
In operations research, the Big M method is a method of solving linear programming problems.
Bondareva-Shapley theorem
In game theory, the Bondareva–Shapley theorem describes a necessary and sufficient condition for the non-emptiness of the core of a cooperative game.
In game theory, the Bondareva–Shapley theorem describes a necessary and sufficient condition for the non-emptiness of the core of a cooperative game.
Bondareva–Shapley theorem
In game theory, the Bondareva–Shapley theorem describes a necessary and sufficient condition for the non-emptiness of the core of a cooperative game.
In game theory, the Bondareva–Shapley theorem describes a necessary and sufficient condition for the non-emptiness of the core of a cooperative game.
Business Interoperability Interface
A Business Interoperability Interface is an interface that enables business interoperability between organizational systems.
A Business Interoperability Interface is an interface that enables business interoperability between organizational systems.
Canadian traveller problem
In computer science and graph theory, the Canadian Traveller Problem (CTP) is a generalization of the shortest path problem to graphs that are partially observable.
In computer science and graph theory, the Canadian Traveller Problem (CTP) is a generalization of the shortest path problem to graphs that are partially observable.
Carrying cost
In marketing, carrying cost refers to the total cost of holding inventory.
In marketing, carrying cost refers to the total cost of holding inventory.
COIN-OR
COIN-OR, which stands for Computational Infrastructure for Operations Research, is a project that aims to "create for mathematical software what the open literature is for mathematical theory."
COIN-OR, which stands for Computational Infrastructure for Operations Research, is a project that aims to "create for mathematical software what the open literature is for mathematical theory."
Confrontation Analysis
Confrontation Analysis is an Operational Analysis technique used to structure, understand and think through multi-party interactions such as negotiations.
Confrontation Analysis is an Operational Analysis technique used to structure, understand and think through multi-party interactions such as negotiations.
Confrontation analysis
Confrontation analysis is an operational analysis technique used to structure, understand and think through multi-party interactions such as negotiations.
Confrontation analysis is an operational analysis technique used to structure, understand and think through multi-party interactions such as negotiations.
Critical path method
The critical path method is an algorithm for scheduling a set of project activities.
The critical path method is an algorithm for scheduling a set of project activities.
Criticality matrix
In operations research and engineering, a criticality matrix is a representation (often graphical) of failure modes along with their probabilities and severities.
In operations research and engineering, a criticality matrix is a representation (often graphical) of failure modes along with their probabilities and severities.
Cutting stock problem
The cutting-stock problem is an optimization problem, or more specifically, an integer linear programming problem.
The cutting-stock problem is an optimization problem, or more specifically, an integer linear programming problem.
Data envelopment analysis
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers.
Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers.
Decision analysis
Decision analysis is the discipline comprising the philosophy, theory, methodology, and professional practice necessary to address important decisions in a formal manner.
Decision analysis is the discipline comprising the philosophy, theory, methodology, and professional practice necessary to address important decisions in a formal manner.
Differential evolution
In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Divide and conquer algorithm
In computer science, divide and conquer is an important algorithm design paradigm based on multi-branched recursion.
In computer science, divide and conquer is an important algorithm design paradigm based on multi-branched recursion.
Dynamic lot size model
In inventory theory the Dynamic lot size model is a generalization of the economic order quantity model that takes into account that demand for the product varies over time.
In inventory theory the Dynamic lot size model is a generalization of the economic order quantity model that takes into account that demand for the product varies over time.
Dynamic programming
In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems.
In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems.
Dynamic simulation
Dynamic simulation is the use of a computer program to model the time varying behavior of a system.
Dynamic simulation is the use of a computer program to model the time varying behavior of a system.
DYNAMO (programming language)
DYNAMO (DYNAmic MOdels) was a simulation language and accompanying graphical notation developed within the system dynamics analytical framework.
DYNAMO (DYNAmic MOdels) was a simulation language and accompanying graphical notation developed within the system dynamics analytical framework.
Economic Lot Scheduling Problem
The Economic Lot Scheduling Problem (ELSP) is a problem in Operations management that has been studied by a large number of researchers for over 50 years.
The Economic Lot Scheduling Problem (ELSP) is a problem in Operations management that has been studied by a large number of researchers for over 50 years.
Economic order quantity
Economic order quantity is the level of inventory that minimizes total inventory holding costs and ordering costs.
Economic order quantity is the level of inventory that minimizes total inventory holding costs and ordering costs.
Economic production quantity
Economic Production Quantity model (also known as the EPQ model) determines the quantity a company or retailer should order to minimize the total inventory costs by balancing the inventory holdi...
Economic Production Quantity model (also known as the EPQ model) determines the quantity a company or retailer should order to minimize the total inventory costs by balancing the inventory holdi...
Ellipsoid method
In mathematical optimization, the ellipsoid method is an iterative method for minimizing convex functions.
In mathematical optimization, the ellipsoid method is an iterative method for minimizing convex functions.
Energy minimization
In computational chemistry, energy minimization (also called energy optimization or geometry optimization) methods are used to compute the equilibrium configuration of molecules and ...
In computational chemistry, energy minimization (also called energy optimization or geometry optimization) methods are used to compute the equilibrium configuration of molecules and ...
European Working Group on Multiple Criteria Decision Aiding
The European Working Group on Multiple Criteria Decision Aiding is a working group whose objective is to promote original research in the field of multicriteria decision aiding at the European level.
The European Working Group on Multiple Criteria Decision Aiding is a working group whose objective is to promote original research in the field of multicriteria decision aiding at the European level.
Event chain diagram
Event Chain Diagrams are visualizations that show the relationships between events and tasks and how the events affect each other.
Event Chain Diagrams are visualizations that show the relationships between events and tasks and how the events affect each other.
Event chain methodology
Event chain methodology is an uncertainty modeling and schedule network analysis technique that is focused on identifying and managing events and event chains that affect project schedules.
Event chain methodology is an uncertainty modeling and schedule network analysis technique that is focused on identifying and managing events and event chains that affect project schedules.
Evidential reasoning approach
In decision theory, the evidential reasoning approach (ER), is a generic evidence-based multi-criteria decision analysis (MCDA) approach for dealing with problems having both quantitative and qu...
In decision theory, the evidential reasoning approach (ER), is a generic evidence-based multi-criteria decision analysis (MCDA) approach for dealing with problems having both quantitative and qu...
Extended newsvendor model
Extended newsvendor models are variations of the classic newsvendor model involving production capacity constraints, multiple products, multiple production cycles, demand dependent selling price...
Extended newsvendor models are variations of the classic newsvendor model involving production capacity constraints, multiple products, multiple production cycles, demand dependent selling price...
Extended Newsvendor models
Extended Newsvendor models are some variations of the classic Newsvendor problem involving production capacity constraints, multiple products, multiple production cycles, demand dependent sellin...
Extended Newsvendor models are some variations of the classic Newsvendor problem involving production capacity constraints, multiple products, multiple production cycles, demand dependent sellin...
Facility location
Facility location, also known as location analysis, is a branch of operations research concerning itself with mathematical modeling and solution of problems concerning optimal placement of...
Facility location, also known as location analysis, is a branch of operations research concerning itself with mathematical modeling and solution of problems concerning optimal placement of...
Fixes that fail
Fixes that fail is a system archetype that in system dynamics is used to describe and analyze a situation, where a fix effective in the short-term creates side effects for the long-term behaviou...
Fixes that fail is a system archetype that in system dynamics is used to describe and analyze a situation, where a fix effective in the short-term creates side effects for the long-term behaviou...
Flow network
In graph theory, a flow network is a directed graph where each edge has a capacity and each edge receives a flow.
In graph theory, a flow network is a directed graph where each edge has a capacity and each edge receives a flow.
Franz Edelman Award for Achievement in Operations Research and the Management Sciences
The Franz Edelman Award for Achievement in Operations Research and the Management Sciences recognizes excellence in the execution of operations research on the organizational level.
The Franz Edelman Award for Achievement in Operations Research and the Management Sciences recognizes excellence in the execution of operations research on the organizational level.
FuncDesigner
FuncDesigner is a computer algebra system (CAS) written as a Python module.
FuncDesigner is a computer algebra system (CAS) written as a Python module.
General Algebraic Modeling System
The General Algebraic Modeling System is a high-level modeling system for mathematical optimization.
The General Algebraic Modeling System is a high-level modeling system for mathematical optimization.
Generalized assignment problem
In applied mathematics, the maximum generalized assignment problem is a problem in combinatorial optimization.
In applied mathematics, the maximum generalized assignment problem is a problem in combinatorial optimization.
Genetic programming
In artificial intelligence, genetic programming is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task.
In artificial intelligence, genetic programming is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task.
Geometric median
The geometric median of a discrete set of sample points in a Euclidean space is the point minimizing the sum of distances to the sample points.
The geometric median of a discrete set of sample points in a Euclidean space is the point minimizing the sum of distances to the sample points.
Glove problem
In operations research, the glove problem (also known as the condom problem) is an optimization problem used as an example that the cheapest capital cost often leads to dramatic increase i...
In operations research, the glove problem (also known as the condom problem) is an optimization problem used as an example that the cheapest capital cost often leads to dramatic increase i...
Goal programming
Goal programming is a branch of multiobjective optimization, which in turn is a branch of multi-criteria decision analysis (MCDA), also known as multiple-criteria decision making (MCDM).
Goal programming is a branch of multiobjective optimization, which in turn is a branch of multi-criteria decision analysis (MCDA), also known as multiple-criteria decision making (MCDM).
Government Operational Research Service
In the United Kingdom, the Government Operational Research Service (GORS) supports and champions Operational Research across government.
In the United Kingdom, the Government Operational Research Service (GORS) supports and champions Operational Research across government.
Health systems engineering
Health systems engineering is an academic discipline where researchers and practitioners treat health care industry as complex systems, and further identify and apply engineering applications in...
Health systems engineering is an academic discipline where researchers and practitioners treat health care industry as complex systems, and further identify and apply engineering applications in...
Hilbert basis (linear programming)
In linear programming, a Hilbert basis for a convex cone is an integer cone basis: minimal set of integer vectors such that every integer vector in the convex cone is a linear combination of the...
In linear programming, a Hilbert basis for a convex cone is an integer cone basis: minimal set of integer vectors such that every integer vector in the convex cone is a linear combination of the...
Hyper-heuristic
A hyper-heuristic is a heuristic search method that seeks to automate, often by the incorporation of machine learning techniques, the process of selecting, combining, generating or adapting seve...
A hyper-heuristic is a heuristic search method that seeks to automate, often by the incorporation of machine learning techniques, the process of selecting, combining, generating or adapting seve...
Industrial engineering
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems.
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems.
Industrial engineering and operations research
Industrial Engineering and Operations Research (IEOR) is an academic discipline concerned with making systems more efficient.
Industrial Engineering and Operations Research (IEOR) is an academic discipline concerned with making systems more efficient.
Institute for Operations Research and the Management Sciences
The Institute for Operations Research and the Management Sciences (INFORMS) is an international society for practitioners in the fields of operations research (OR) and management science.
The Institute for Operations Research and the Management Sciences (INFORMS) is an international society for practitioners in the fields of operations research (OR) and management science.
Integer programming
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.
An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers.
Interdisciplinary Center for Organizational Architecture
Interdisciplinary Center for Organizational Architecture (ICOA) is a research center at Aarhus School of Business and Social Sciences in Aarhus, Denmark.
Interdisciplinary Center for Organizational Architecture (ICOA) is a research center at Aarhus School of Business and Social Sciences in Aarhus, Denmark.
International Federation of Operational Research Societies
The International Federation of Operational Research Societies (IFORS) is an umbrella organization for national operations research societies of over 45 countries from four geographical regions:...
The International Federation of Operational Research Societies (IFORS) is an umbrella organization for national operations research societies of over 45 countries from four geographical regions:...
Interservice/Industry Training, Simulation and Education Conference
The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) is an organization dedicated to the promotion of cooperation among the Armed Services, Industry, Academia ...
The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) is an organization dedicated to the promotion of cooperation among the Armed Services, Industry, Academia ...
Inventory
Inventory means a list compiled for some formal purpose, such as the details of an estate going to probate, or the contents of a house let furnished.
Inventory means a list compiled for some formal purpose, such as the details of an estate going to probate, or the contents of a house let furnished.
Inventory control
Inventory control - supervision of supply, storage and accessibility of items in order to insure an adequate supply without excessive oversupply.
Inventory control - supervision of supply, storage and accessibility of items in order to insure an adequate supply without excessive oversupply.
Inventory theory
Inventory theory (or more formally the mathematical theory of inventory and production) is the sub-specialty within operations research that is concerned with the design of production/inventory ...
Inventory theory (or more formally the mathematical theory of inventory and production) is the sub-specialty within operations research that is concerned with the design of production/inventory ...
Jeep problem
The jeep problem, desert crossing problem or exploration problem is a mathematics problem in which a jeep must maximise the distance it can travel into a desert with a given quantity...
The jeep problem, desert crossing problem or exploration problem is a mathematics problem in which a jeep must maximise the distance it can travel into a desert with a given quantity...
Job shop scheduling
Job shop scheduling is an optimization problem in computer science in which ideal jobs are assigned to resources at particular times.
Job shop scheduling is an optimization problem in computer science in which ideal jobs are assigned to resources at particular times.
Job-shop problem
The job-shop problem (JSP) is a problem in discrete or combinatorial optimization, and is a generalization of the famous travelling salesman problem.
The job-shop problem (JSP) is a problem in discrete or combinatorial optimization, and is a generalization of the famous travelling salesman problem.
Johnson's Rule
In operations research Johnson's Rule is a method of scheduling a number of jobs on two successive work centers.
In operations research Johnson's Rule is a method of scheduling a number of jobs on two successive work centers.
K-medians clustering
In statistics and machine learning, k-medians clustering is a variation of k-means clustering where instead of calculating the mean for each cluster to determine its centroid, one instea...
In statistics and machine learning, k-medians clustering is a variation of k-means clustering where instead of calculating the mean for each cluster to determine its centroid, one instea...
Knapsack problem
The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a...
The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a...
Lawler’s Algorithm
Lawler’s algorithm is a powerful technique for solving a verity of constrained scheduling problems.
Lawler’s algorithm is a powerful technique for solving a verity of constrained scheduling problems.
Least cost planning methodology
Least cost planning methodology (LCPM), also referred to as "least cost planning" (LCP) is a relatively new technique used by economists for making rational decisions about investments in transp...
Least cost planning methodology (LCPM), also referred to as "least cost planning" (LCP) is a relatively new technique used by economists for making rational decisions about investments in transp...
Leverage Point Modeling
Leverage Point Modeling (LPM) is a demonstrated approach for improved planning and spending for Operations and Support (O&S) activities.
Leverage Point Modeling (LPM) is a demonstrated approach for improved planning and spending for Operations and Support (O&S) activities.
Linear programming
Linear programming (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathemat...
Linear programming (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathemat...
Linear programming decoding
In information theory and coding theory, linear programming decoding (LP decoding) is a decoding method which uses concepts from LP theory to solve decoding problems.
In information theory and coding theory, linear programming decoding (LP decoding) is a decoding method which uses concepts from LP theory to solve decoding problems.
Linear scheduling method
Linear Scheduling Method (LSM) is a graphical scheduling method focusing on continuous resource utilization in repetitive activities.
Linear Scheduling Method (LSM) is a graphical scheduling method focusing on continuous resource utilization in repetitive activities.
Linear-fractional programming
In mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP).
In mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP).
Little's law
In the mathematical theory of queues, Little's result, theorem, lemma, law or formula says: :The long-term average number of customers in a stable system L is equal t...
In the mathematical theory of queues, Little's result, theorem, lemma, law or formula says: :The long-term average number of customers in a stable system L is equal t...
Management engineering (healthcare)
Management engineering or health systems engineering is a type of engineering in the field of healthcare.
Management engineering or health systems engineering is a type of engineering in the field of healthcare.
Management Science: A Journal of the Institute for Operations Research and the Management Sciences
Management Science: A Journal of the Institute for Operations Research and the Management Sciences (print:, online: ) is a peer-reviewed academic journal covering the techniques of operation...
Management Science: A Journal of the Institute for Operations Research and the Management Sciences (print:, online: ) is a peer-reviewed academic journal covering the techniques of operation...
Marketing science
Marketing science is a field that approaches marketing -- the understanding of customer needs, and the development of approaches by which they might be fulfilled -- predominantly through the met...
Marketing science is a field that approaches marketing -- the understanding of customer needs, and the development of approaches by which they might be fulfilled -- predominantly through the met...
Master of Management in Operations Research
Master of Management in Operations Research (MMOR) is a graduate degree that combines studies and applications in Business Administration and Operations Research.
Master of Management in Operations Research (MMOR) is a graduate degree that combines studies and applications in Business Administration and Operations Research.
Mathematical model
A mathematical model is a description of a system using mathematical concepts and language.
A mathematical model is a description of a system using mathematical concepts and language.
Mathematical optimization
In mathematics, computer science and economics, optimization, or mathematical programming, refers to choosing the best element from some set of available alternatives.
In mathematics, computer science and economics, optimization, or mathematical programming, refers to choosing the best element from some set of available alternatives.
Mathematical Programming Society
Known as the Mathematical Programming Society until 2010, the Mathematical Optimization Society (MOS) is an international association of researchers active in optimization.
Known as the Mathematical Programming Society until 2010, the Mathematical Optimization Society (MOS) is an international association of researchers active in optimization.
Mathematics of Operations Research
Mathematics of Operations Research (MOR) is a scholarly journal published since 1976.
Mathematics of Operations Research (MOR) is a scholarly journal published since 1976.
Metaheuristic
In computer science, metaheuristic designates a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
In computer science, metaheuristic designates a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Methods engineering
Methods engineering is a subspecialty of Industrial engineering concerned with human integration in industrial production processes.
Methods engineering is a subspecialty of Industrial engineering concerned with human integration in industrial production processes.
Military Operations Research Society
The Military Operations Research Society (MORS) is a society for professionals active within defense applications of operations research (OR) in the United States.
The Military Operations Research Society (MORS) is a society for professionals active within defense applications of operations research (OR) in the United States.
Mining simulator
A mining simulator is a system used to replicate elements of mining operations, for training or efficiency analysis.
A mining simulator is a system used to replicate elements of mining operations, for training or efficiency analysis.
Monge array
In computer science, Monge arrays, or Monge matrices, are mathematical objects named for their discoverer, the French mathematician Gaspard Monge.
In computer science, Monge arrays, or Monge matrices, are mathematical objects named for their discoverer, the French mathematician Gaspard Monge.
MOSEK
MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constraint, conic and convex nonlinear mathematical optimization p...
MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constraint, conic and convex nonlinear mathematical optimization p...
MPS (format)
MPS (Mathematical Programming System) is a file format for presenting and archiving linear programming (LP) and mixed integer programming problems.
MPS (Mathematical Programming System) is a file format for presenting and archiving linear programming (LP) and mixed integer programming problems.
Mu Sigma Inc.
Mu Sigma is a decision sciences and analytics services firm helping companies institutionalize data driven decision making.
Mu Sigma is a decision sciences and analytics services firm helping companies institutionalize data driven decision making.
Multi-criteria decision analysis
Multiple criteria decision making or multiple criteria decision analysis is a sub-discipline of operations research that explicitly considers multiple criteria in decision making environments.
Multiple criteria decision making or multiple criteria decision analysis is a sub-discipline of operations research that explicitly considers multiple criteria in decision making environments.
Multicriteria classification
In multiple criteria decision aiding, multicriteria classification involves problems where a finite set of alternative actions should be assigned into a predefined set of preferentially ordered ...
In multiple criteria decision aiding, multicriteria classification involves problems where a finite set of alternative actions should be assigned into a predefined set of preferentially ordered ...
Multiscale decision making
Multiscale decision making, also referred to as Multiscale decision theory (MSDT), is a recently developed approach in operations research that fuses game theory, multi-agent influence diagrams,...
Multiscale decision making, also referred to as Multiscale decision theory (MSDT), is a recently developed approach in operations research that fuses game theory, multi-agent influence diagrams,...
Nelder-Mead method
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentia...
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentia...
Nelder–Mead method
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentia...
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentia...
Newsvendor
The newsvendor model is a mathematical model in operations management and applied economics used to determine optimal inventory levels.
The newsvendor model is a mathematical model in operations management and applied economics used to determine optimal inventory levels.
Newsvendor model
The newsvendor (or newsboy or single-period) model is a mathematical model in operations management and applied economics used to determine optimal inventory levels.
The newsvendor (or newsboy or single-period) model is a mathematical model in operations management and applied economics used to determine optimal inventory levels.
nl (format)
nl is a file format for presenting and archiving mathematical programming problems.
nl is a file format for presenting and archiving mathematical programming problems.
Open Shop Scheduling
The Open Shop Scheduling Problem (OSSP) is a scheduling problem where, given n jobs and m workstations, each job has to visit a workstation at least once.
The Open Shop Scheduling Problem (OSSP) is a scheduling problem where, given n jobs and m workstations, each job has to visit a workstation at least once.
Open shop scheduling
The open shop scheduling problem (OSSP) is a scheduling problem where, given n jobs and m workstations, each job has to visit a workstation at least once.
The open shop scheduling problem (OSSP) is a scheduling problem where, given n jobs and m workstations, each job has to visit a workstation at least once.
OpenEaagles
OpenEaagles is an open source framework designed to support the rapid construction of virtual (human-in-the-loop) and constructive simulation applications.
OpenEaagles is an open source framework designed to support the rapid construction of virtual (human-in-the-loop) and constructive simulation applications.
OpenOpt
OpenOpt is an open-source framework for numerical optimization, nonlinear equations and systems of them.
OpenOpt is an open-source framework for numerical optimization, nonlinear equations and systems of them.
Operations and technology management
Operations and Technology Management (OTM) is a business management focus, traditionally in manufacturing industries, on operations research, total quality, facilities planning, and e-business s...
Operations and Technology Management (OTM) is a business management focus, traditionally in manufacturing industries, on operations research, total quality, facilities planning, and e-business s...
Operations research
Operations research, or Operational Research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions.
Operations research, or Operational Research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions.
Operations Research Society of South Africa
The Operations Research Society of South Africa (ORSSA) is South Africa's national, professional body for operations research.
The Operations Research Society of South Africa (ORSSA) is South Africa's national, professional body for operations research.
Optimal design
Optimal designs are a class of experimental designs that are optimal with respect to some statistical criterion.
Optimal designs are a class of experimental designs that are optimal with respect to some statistical criterion.
Optimal maintenance
Optimal maintenance is the discipline within operations research concerned with maintaining a system in a manner that maximizes profit or minimizes cost.
Optimal maintenance is the discipline within operations research concerned with maintaining a system in a manner that maximizes profit or minimizes cost.
Optimization (mathematics)
In mathematics, computer science and economics, optimization, or mathematical programming, refers to choosing the best element from some set of available alternatives.
In mathematics, computer science and economics, optimization, or mathematical programming, refers to choosing the best element from some set of available alternatives.
OptimJ
OptimJ an extension of Java with language support for writing optimization models and powerful abstractions for bulk data processing.
OptimJ an extension of Java with language support for writing optimization models and powerful abstractions for bulk data processing.
Palm calculus
In the study of stochastic processes, Palm calculus, named after Swedish teletrafficist Conny Palm, is the study of the relationship between probabilities conditioned on a specified event and ti...
In the study of stochastic processes, Palm calculus, named after Swedish teletrafficist Conny Palm, is the study of the relationship between probabilities conditioned on a specified event and ti...
Paradiseo
ParadisEO is a white-box object-oriented framework dedicated to the flexible design of metaheuristics.
ParadisEO is a white-box object-oriented framework dedicated to the flexible design of metaheuristics.
Participatory modeling
Participatory modeling is an approach which is a branch of the general field of conceptual modeling.
Participatory modeling is an approach which is a branch of the general field of conceptual modeling.
Peace gaming
Peace gaming is a neologism coined by Utsumi Takeshi to describe non-military global simulations, or simulations that involve both military and civilian variables.
Peace gaming is a neologism coined by Utsumi Takeshi to describe non-military global simulations, or simulations that involve both military and civilian variables.
Plan
A plan is typically any diagram or list of steps with timing and resources, used to achieve an objective.
A plan is typically any diagram or list of steps with timing and resources, used to achieve an objective.
Pollaczek-Khinchine formula
The Pollaczek-Khinchine formula is used in queuing theory to determine the mean time spent waiting in the queue to be serviced (the queuing delay) and the mean end-to-end time through the system.
The Pollaczek-Khinchine formula is used in queuing theory to determine the mean time spent waiting in the queue to be serviced (the queuing delay) and the mean end-to-end time through the system.
Pollaczek–Khinchine formula
The Pollaczek-Khinchine formula is used in queuing theory to determine the mean time spent waiting in the queue to be serviced (the queuing delay) and the mean end-to-end time through the system.
The Pollaczek-Khinchine formula is used in queuing theory to determine the mean time spent waiting in the queue to be serviced (the queuing delay) and the mean end-to-end time through the system.
Potentially all pairwise rankings of all possible alternatives
Potentially all pairwise rankings of all possible alternatives is a method for multi-criteria decision making or conjoint analysis based on decision-makers’ pairwise rankings of alternatives.
Potentially all pairwise rankings of all possible alternatives is a method for multi-criteria decision making or conjoint analysis based on decision-makers’ pairwise rankings of alternatives.
Preference Ranking Organization Method for Enrichment Evaluation
Preference Ranking Organization Method for Enrichment Evaluation or PROMETHEE & GAIA are multi-criteria decision analysis methods that belong to the family of outranking relations and that...
Preference Ranking Organization Method for Enrichment Evaluation or PROMETHEE & GAIA are multi-criteria decision analysis methods that belong to the family of outranking relations and that...
Purchasing
Purchasing refers to a business or organization attempting for acquiring goods or services to accomplish the goals of the enterprise.
Purchasing refers to a business or organization attempting for acquiring goods or services to accomplish the goals of the enterprise.
Queueing theory
Queueing theory is the mathematical study of waiting lines, or queues.
Queueing theory is the mathematical study of waiting lines, or queues.
Response surface methodology
In statistics, response surface methodology explores the relationships between several explanatory variables and one or more response variables.
In statistics, response surface methodology explores the relationships between several explanatory variables and one or more response variables.
Scheduling (computing)
In computer science, scheduling is the method by which threads, processes or data flows are given access to system resources.
In computer science, scheduling is the method by which threads, processes or data flows are given access to system resources.
SCIP (optimization software)
SCIP (optimization software) is a mixed integer programming solver and a framework for Branch and cut and Branch and price, developed at Zuse Institute Berlin.
SCIP (optimization software) is a mixed integer programming solver and a framework for Branch and cut and Branch and price, developed at Zuse Institute Berlin.
Semidefinite programming
Semidefinite programming is a subfield of convex optimization concerned with the optimization of a linear objective function over the intersection of the cone of positive semidefinite matrices ...
Semidefinite programming is a subfield of convex optimization concerned with the optimization of a linear objective function over the intersection of the cone of positive semidefinite matrices ...
Sequence-dependent setup
In Job Shop Scheduling, sequence-dependent setup occurs when a machine's setup time or cost for a particular job is determined by not only by that job but also by the previous job that the machi...
In Job Shop Scheduling, sequence-dependent setup occurs when a machine's setup time or cost for a particular job is determined by not only by that job but also by the previous job that the machi...
Set TSP problem
In combinatorial optimization, the set TSP, also known as the, group TSP, One-of-a-Set TSP, Multiple Choice TSP or Covering Salesman Problem, is a generalization of the T...
In combinatorial optimization, the set TSP, also known as the, group TSP, One-of-a-Set TSP, Multiple Choice TSP or Covering Salesman Problem, is a generalization of the T...
Shadow price
In constrained optimization in economics, the shadow price is the change in the objective value of the optimal solution of an optimization problem obtained by relaxing the constraint by one unit.
In constrained optimization in economics, the shadow price is the change in the objective value of the optimal solution of an optimization problem obtained by relaxing the constraint by one unit.
Silver-Meal heuristic
The Silver-Meal heuristic method was composed in 1975 by E.A. Silver and H.C. Meal.
The Silver-Meal heuristic method was composed in 1975 by E.A. Silver and H.C. Meal.
Simplex algorithm
In mathematical optimization, Dantzig's simplex algorithm is a popular algorithm for linear programming.
In mathematical optimization, Dantzig's simplex algorithm is a popular algorithm for linear programming.
Simulation Interoperability Standards Organization
The Simulation Interoperability Standards Organization (SISO) is an organization dedicated to the promotion of modeling and simulation (M&S) interoperability and reuse for the benefit of d...
The Simulation Interoperability Standards Organization (SISO) is an organization dedicated to the promotion of modeling and simulation (M&S) interoperability and reuse for the benefit of d...
sol (format)
sol is a file format for representing solutions of mathematical programming problems.
sol is a file format for representing solutions of mathematical programming problems.
Standard Boolean model
The Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most adopted one.
The Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most adopted one.
Stochastic programming
Stochastic programming is a framework for modeling optimization problems that involve uncertainty.
Stochastic programming is a framework for modeling optimization problems that involve uncertainty.
Strategic Bombing Survey (Atomic attacks)
"Strategic bombing survey (Atomic attacks)" was a United States Army Air Forces survey of the impact of atomic attacks in World War II in the Pacific theater.
"Strategic bombing survey (Atomic attacks)" was a United States Army Air Forces survey of the impact of atomic attacks in World War II in the Pacific theater.
Supnick matrix
A Supnick matrix or Supnick array – named after Fred Supnick of the City College of New York, who introduced the notion in 1957 – is a Monge array which is also a symmetric matrix.
A Supnick matrix or Supnick array – named after Fred Supnick of the City College of New York, who introduced the notion in 1957 – is a Monge array which is also a symmetric matrix.
System dynamics
System dynamics is an approach to understanding the behaviour of complex systems over time.
System dynamics is an approach to understanding the behaviour of complex systems over time.
The Operational Research Society
The Operational Research Society is an international learned society in the field of operations research, with more than 2,700 members (2009).
The Operational Research Society is an international learned society in the field of operations research, with more than 2,700 members (2009).
Theory of two-level planning
The Theory of two-level planning is a method that decomposes large problems of linear optimization into sub-problems.
The Theory of two-level planning is a method that decomposes large problems of linear optimization into sub-problems.
Transportation Science
Transportation Science is a peer-reviewed academic journal published by the Institute for Operations Research and the Management Sciences (INFORMS).
Transportation Science is a peer-reviewed academic journal published by the Institute for Operations Research and the Management Sciences (INFORMS).
Travelling salesman problem
The travelling salesman problem is an NP-hard problem in combinatorial optimization studied in operations research and theoretical computer science.
The travelling salesman problem is an NP-hard problem in combinatorial optimization studied in operations research and theoretical computer science.
Uncertainty quantification
Uncertainty quantification (UQ) is the science of quantitative characterization and reduction of uncertainties in applications.
Uncertainty quantification (UQ) is the science of quantitative characterization and reduction of uncertainties in applications.
United States Army Training and Doctrine Command Analysis Center
The United States Army Training and Doctrine Command Analysis Center (TRAC) is an analysis agency of the United States Army.
The United States Army Training and Doctrine Command Analysis Center (TRAC) is an analysis agency of the United States Army.
Vehicle routing problem
The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles.
The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles.