Search results for "021103 operations research"

showing 9 items of 289 documents

Construction of quality indicators based on pre-established goals: application to a colombian public university

2020

This study creates indicators of adequacy and excellence based on multiple-criteria decision-making (MCDM) methods and fuzzy logic. The calculation of indicators presents two main difficulties: The nature of the data (numerical, interval, and linguistic values are mixed) and the objective of each criterion (which does not have to reach either the maximum or the minimum). A method is proposed, based on similarity measures with predetermined ideals, that is capable of overcoming these difficulties to provide easy-to-interpret information about the quality of the alternatives. To illustrate the usefulness of this proposed method, it has been applied to data collected from students across nine …

adequacy indexOperations researchComputer scienceGeneral Mathematicsmedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyInterval (mathematics)Fuzzy logic:CIENCIAS ECONÓMICAS [UNESCO]ExcellenceSimilarity (psychology)0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)multiple-criteria decision-makingQuality (business)excellence indexEngineering (miscellaneous)similaritymedia_common021103 operations researchlcsh:MathematicsUNESCO::CIENCIAS ECONÓMICASlcsh:QA1-939Multiple-criteria decision analysisAction (philosophy)Institution (computer science)020201 artificial intelligence & image processingfuzzy logic
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Towards Automatic Testing of Reference Point Based Interactive Methods

2016

In order to understand strengths and weaknesses of optimization algorithms, it is important to have access to different types of test problems, well defined performance indicators and analysis tools. Such tools are widely available for testing evolutionary multiobjective optimization algorithms. To our knowledge, there do not exist tools for analyzing the performance of interactive multiobjective optimization methods based on the reference point approach to communicating preference information. The main barrier to such tools is the involvement of human decision makers into interactive solution processes, which makes the performance of interactive methods dependent on the performance of huma…

aspiration level021103 operations researchComputer sciencebusiness.industryComputer Science::Neural and Evolutionary Computation0211 other engineering and technologiespreference information02 engineering and technologyMachine learningcomputer.software_genreMulti-objective optimizationTest (assessment)testing framework0202 electrical engineering electronic engineering information engineeringdecision maker’s preferencesmultiobjective optimization020201 artificial intelligence & image processingEMOPerformance indicatorArtificial intelligencebusinesscomputerAutomatic testing
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Theory and regulation of liquidity risk management in banking

2016

Liquidity risk is now more important than it used to be in the past. The financial crisis has emphasised the importance of liquidity risk to the functioning of banking and financial system. The paper presents a theoretical and regulatory investigation of two types of liquidity risk: funding liquidity risk and market liquidity risk. The paper analyses the different approaches to measure the impact of funding and market liquidity risk in the economics and management of banks. The paper provides also an analysis of the organisational implications of the asset and liability management perspective of liquidity risk. Liquidity risk does not need to be covered by equity but by an adequate volume o…

banking supervisionliquidity ratiobanking0211 other engineering and technologiesasset and liability managementFinancial systemliquidity risk02 engineering and technologyManagement Science and Operations Researchrisk managementfinancial crisiBusiness and International Managementhealth care economics and organizationsliquidity021103 operations researchSettore SECS-P/11 - Economia Degli Intermediari FinanziariFinancial risk managementLiquidity crisisAsset and liability managementLiquidity riskLiquidity premiumMarket liquidityBasel 3.funding riskFunding liquiditystress testBusinessfinancial regulationStatistics Probability and UncertaintyAccounting liquidityfinancial stabilityInternational Journal of Risk Assessment and Management
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A branch-and-cut algorithm for the Team Orienteering Problem

2017

The Team Orienteering Problem aims at maximizing the total amount of profit collected by a fleet of vehicles while not exceeding a predefined travel time limit on each vehicle. In the last years, several exact methods based on different mathematical formulations were proposed. In this paper, we present a new two-index formulation with a polynomial number of variables and constraints. This compact formulation, reinforced by connectivity constraints, was solved by means of a branch-and-cut algorithm. The total number of instances solved to optimality is 327 of 387 benchmark instances, 26 more than any previous method. Moreover, 24 not previously solved instances were closed to optimality.

branch-and-cut algorithm; Team Orienteering Problem; two-index mathematical formulation; Computer Science Applications1707 Management Science and Operations Research;0209 industrial biotechnologyMathematical optimization021103 operations researchStrategy and Management0211 other engineering and technologiesOrienteering02 engineering and technologyManagement Science and Operations ResearchComputer Science Applicationstwo-index mathematical formulationTravel timeComputer Science Applications1707 Management Science and Operations Research020901 industrial engineering & automationManagement of Technology and InnovationBenchmark (computing)Limit (mathematics)branch-and-cut algorithmTeam Orienteering ProblemBusiness and International ManagementBranch and cutAlgorithmPolynomial numberMathematics
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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

2019

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed

data-driven optimizationMathematical optimizationOptimization problemComputer scienceboreal forest managementComputer Science::Neural and Evolutionary Computationpäätöksenteko0211 other engineering and technologiesMathematicsofComputing_NUMERICALANALYSISdecision maker02 engineering and technologypreference informationSpace (commercial competition)Multi-objective optimizationComputingMethodologies_ARTIFICIALINTELLIGENCEData-drivenklusteritoptimointi0202 electrical engineering electronic engineering information engineeringCluster analysis021103 operations researchsurrogatesComputingMethodologies_PATTERNRECOGNITIONboreaalinen vyöhyke020201 artificial intelligence & image processingmetsänhoitoCluster basedclustering
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deaR-Shiny: An Interactive Web App for Data Envelopment Analysis

2021

In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, wh…

fuzzy deaOperations researchComputer scienceGeography Planning and Development0211 other engineering and technologiesTJ807-83002 engineering and technologyManagement Monitoring Policy and LawTD194-195Fuzzy logic:CIENCIAS ECONÓMICAS [UNESCO]R softwareRenewable energy sourcesmalmquist indexSoftwareMalmquist indexDEA0202 electrical engineering electronic engineering information engineeringData envelopment analysisFuzzy numberWeb applicationGE1-350fuzzy DEAMeasure (data warehouse)021103 operations researchEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industryshinydear packageUNESCO::CIENCIAS ECONÓMICASMissing dataVariety (cybernetics)Environmental sciencesdeaefficiency020201 artificial intelligence & image processingdata envelopment analysisdeaR packagebusinessr softwareSustainability
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Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …

optimization problemsMathematical optimizationComputer scienceStrategy and Managementmedia_common.quotation_subjectConstraint (computer-aided design)0211 other engineering and technologiesmultiple criteria decision makingGeneral Decision Sciences02 engineering and technologyMulti-objective optimizationOutcome (game theory)evolutionary multicriteria optimizationEngineering optimizationmulticriteria optimization0202 electrical engineering electronic engineering information engineeringPoint (geometry)Business caseFunction (engineering)media_commonta113Computational model021103 operations researchmetamodelsexpensive optimization problemssurrogatesexpensesmachine learning020201 artificial intelligence & image processing
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Effects of Rule Changes on Game-Related Statistics in Men's Water Polo Matches

2017

The aim of this study was to investigate the effects of rule changes on game-related statistics in men's water polo matches. A total of 856 men's matches played in all Olympic Games and World Championship since 1936 was analysed. The game-related statistics considered were: total goals, winners' goals, losers' goals, goals per minute, goals difference, relationship difference goals and total goals, and relationship difference goals and winners' goals. The rule changes were grouped by structural (game and period) and functional changes (possession time, exclusion time, timing, minimum distance to take a direct shot). Differences between rule changes were determined using a one-way ANOVA. In …

sportsPerformance0211 other engineering and technologiesPhysical Therapy Sports Therapy and Rehabilitation02 engineering and technologyWater poloSport ScienceArticleMatstæknimatch outcomelcsh:GV557-1198.99503 medical and health sciences0302 clinical medicineMatch outcomeNotational analysisÍþróttirStatisticsWorld championshipOrthopedics and Sports MedicineDuration (project management)sports.sports_positionlcsh:Sports021103 operations researchMinimum distanceFrammistöðumatÍþróttakeppni030229 sport sciencesPossession (law)notational analysis; performance; match outcomeÍþróttafræðiGeographyAðferðafræðinotational analysisNotational analysisEsports aquàticsEducació físicaSports competitionsperformance
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Using uncertain preferential information from stakeholders to assess the acceptability of alternative forest management plans

2017

In forest management planning, participatory planning processes are often encouraged as a means to acquire relevant information and to enhance the stakeholders' acceptability of alternative plans. This requires the aggregation of the stakeholders' preferences that can be done in a wide variety of manners. The aggregation process strives to reduce the information into a single set of preferences that simplifies the information and allows for the use of discrete decision support tools. Depending on how the preferences are aggregated, a wide range of plan rankings can emerge. Although this range of ranking complicates the issue of plan selection, it does highlight the uncertainty involved in a…

stochastic multicriteria acceptability analysisstochastic preferencesComputer scienceStrategy and Managementpäätöksentekostokastinen monikriteerinen arvostusanalyysiForest management0211 other engineering and technologiesGeneral Decision Sciences02 engineering and technologypairwise comparisonsstochastic programminggroup decision makingsidosryhmätryhmätEnvironmental planning040101 forestryStochastic multicriteria acceptability analysis021103 operations researchbusiness.industryEnvironmental resource management04 agricultural and veterinary sciences15. Life on landStochastic programmingGroup decision-makingta11810401 agriculture forestry and fisheriesPairwise comparisonmetsänhoitobusinessosallistava suunnitteluJournal of Multi-Criteria Decision Analysis
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