Search results for "mathematical programming"

showing 10 items of 20 documents

Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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The Windy clustered prize-collecting arc-routing problem

2011

This paper introduces the windy clustered prize-collecting arc-routing problem. It is an arc-routing problem where each demand edge is associated with a profit that is collected once if the edge is serviced, independent of the number of times the edge is traversed. It is further required that if a demand edge is serviced, then all the demand edges of its component are also serviced. A mathematical programming formulation is given and some polyhedral results including several facet-defining and valid inequalities are presented. The separation problem for the different families of inequalities is studied. Numerical results from computational experiments are analyzed. © 2011 INFORMS.

Arc routingMathematical optimizationMathematical programmingTransportation68W AlgorithmsSeparation problemsCutting plane algorithmsArc routing problems:Informàtica::Informàtica teòrica [Àrees temàtiques de la UPC]Prize-collectingPolyhedral modellingNumerical resultsProfitability indexProfitabilityPolyhedral analysisComputational experimentMATEMATICA APLICADAArc routingCutting plane algorithmValid inequalityAlgorithmsCivil and Structural EngineeringSeparation problemMathematicsMathematicsofComputing_DISCRETEMATHEMATICS
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Carbon sequestration in French agricultural soils: A spatial economic evaluation

2021

International audience; Soil organic carbon sequestration measures entail costs to farmers with different individual characteristics and located in different areas. A cost‐effective analysis taking into account these heterogeneities is crucial for developing effective public policy aimed at increasing carbon sequestration. We undertake such an analysis focusing on three soil organic carbon sequestration measures: no‐till, extension of temporary grasslands, and hedgerows. Through an optimization model applied to France, our results show that only extension of temporary grasslands can store carbon at low cost, though their potential for carbon sequestration is also low. For an ambitious carbo…

Economics and Econometrics010504 meteorology & atmospheric sciencesClimate changeCarbon sequestration01 natural sciences7. Clean energy12. Responsible consumptionChangement ClimatiqueEnvironmental protection0502 economics and business11. Sustainability0105 earth and related environmental sciences2. Zero hungeragricultural soilbusiness.industry05 social sciencesProgrammation mathématiquemathematical programming modelSéquestration de carbone15. Life on landSol agricole[SHS.ECO]Humanities and Social Sciences/Economics and Financecarbon sequestrationclimate change13. Climate actionAgricultureSoil waterEconomic evaluationEnvironmental science050202 agricultural economics & policybusinessAgronomy and Crop Science
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Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming

2008

AbstractThis paper provides new models for portfolio selection in which the returns on securities are considered fuzzy numbers rather than random variables. The investor's problem is to find the portfolio that minimizes the risk of achieving a return that is not less than the return of a riskless asset. The corresponding optimal portfolio is derived using semi-infinite programming in a soft framework. The return on each asset and their membership functions are described using historical data. The investment risk is approximated by mean intervals which evaluate the downside risk for a given fuzzy portfolio. This approach is illustrated with a numerical example.

Mathematical optimizationApplied MathematicsMathematics::Optimization and ControlEfficient frontierPortfolio selection problemSortino ratioFuzzy mathematical programmingRate of return on a portfolioComputational MathematicsDownside risk functionFuzzy returnsComputer Science::Computational Engineering Finance and ScienceReplicating portfolioCapital asset pricing modelPortfolioPortfolio optimizationSemi-infinite programmingModern portfolio theoryMathematicsJournal of Computational and Applied Mathematics
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Cross-Efficiency in Fuzzy Data Envelopment Analysis (FDEA): Some Proposals

2013

Different techniques have been proposed in the literature to rank decision making units (DMUs) in the context of Fuzzy Data Envelopment Analysis. In our opinion, those that result from using a ranking method to order the fuzzy efficiencies obtained are susceptible to a serious criticism: they are not based on objective criteria. Cross-efficiency evaluation was introduced as an extension of DEA aimed at ranking the DMUs. This methodology has found a significant number of applications and has been extensively investigated. In this chapter, we discuss some difficulties that arise with the definition of fuzzy cross-efficiencies and we propose a fuzzy cross-efficiency evaluation based on the FDE…

Mathematical optimizationCross efficiencyEfficiencyComputer scienceFuzzy mathematical programmingData envelopment analysisMultiplier (economics)Fuzzy data envelopment analysisFuzzy logic
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Modelling agricultural risk in a large scale positive mathematical programming model

2020

International audience; Mathematical programming has been extensively used to account for risk in farmers' decision making. The recent development of the positive mathematical programming (PMP) has renewed the need to incorporate risk in a more robust and flexible way. Most of the existing PMP-risk models have been tested at farm-type level and for a very limited sample of farms. This paper presents and tests a novel methodology for modelling risk at individual farm level in a large scale model, called individual farm model for common agricultural policy analysis (IFM-CAP). Results show a clear trade-off between including and excluding the risk specification. Albeit both alternatives provid…

Mathematical optimizationEconomics and EconometricsScale (ratio)Computer scienceComputationprogrammation mathématique positive020209 energyexpected utilitySample (statistics)highest posterior density02 engineering and technologypolitique agricole communerisk and uncertainty0202 electrical engineering electronic engineering information engineeringEuropean common agricultural policyExpected utility hypothesisagricultureEstimationrisque et incertitude2. Zero hungerbusiness.industry020208 electrical & electronic engineering[SHS.ECO]Humanities and Social Sciences/Economics and Finance16. Peace & justicemodèle de fermePMPComputer Science ApplicationsAgriculturebusinessCommon Agricultural PolicyScale modelpositive mathematical programmingInternational Journal of Computational Economics and Econometrics
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Non-dominated “trade-off” solutions in television scheduling optimization

2014

The main approaches for the television scheduling design are commonly based on the ratings or revenues maximization objective, and thus, only a single optimal solution can be obtained, corresponding to the best result for the considered objective. Therefore, these approaches lead up to the alternative solutions loss which, even if less effective from the ratings or revenues maximization viewpoint, may be more suitable for the decision maker because of better compromise in relation to factors influencing the decision process. Specifically, such a compromise could be achieved through a suitable “trade-off” between these factors, with reference to the decision context in which the decision mak…

Mathematical optimizationOperations researchRelation (database)Computer scienceStrategy and ManagementCompromisemedia_common.quotation_subjecttelevision scheduling designtelevision scheduling costsScheduling (production processes)integer mathematical programming modelMaximizationManagement Science and Operations ResearchMulti-objective optimizationComputer Science Applicationstelevision ratings forecastmulti-objective optimizationOrder (exchange)Management of Technology and InnovationBusiness and International ManagementSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInteger (computer science)media_commonCommunication channel
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Applying fuzzy Particle Swarm Optimization to Multi-unit Double Auctions

2010

Abstract In the context of Quadratic Programming Problems, we use a fuzzy Particle Swarm Optimization (PSO) algorithm to analyze a Multi-unit Double Auction (MDA) market. We give also a Linear Programming (LP) based upper bound to help the decision maker in dealing with constraints in the mathematical model. In the computational study, we evaluate our algorithm and show that it is a feasible approach for processing bids and calculating assignments.

Mathematical optimizationParticle Swarm Optimization fuzzy numbers mathematical programming quadratic assignment problemInformation Systems and ManagementLinear programmingQuadratic assignment problemStrategy and ManagementMechanical EngineeringParticle swarm optimizationManagement Science and Operations ResearchSettore MAT/05 - Analisi MatematicaFuzzy numberQuadratic programmingMulti-swarm optimizationSettore MAT/09 - Ricerca OperativaEngineering (miscellaneous)MetaheuristicActive set methodMathematics
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Stochastic model for electrical loads in Mediterranean residential building: validation and applications

2014

A major issue in modelling the electrical load of residential building is reproducing the variability between dwellings due to the stochastic use of different electrical equipment. In that sense and with the objective to reproduce this variability, a stochastic model to obtain load profiles of household electricity is developed. The model is based on a probabilistic approach and is developed using data from the Mediterranean region of Spain. A detailed validation of the model has been done, analysing and comparing the results with Spanish and European data. The results of the validation show that the model is able to reproduce the most important features of the residential electrical consum…

Mediterranean climateEngineeringMains electricityElectrical loadStochastic modellingCivil engineering:Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC]Electric devicesElectrical equipment:90 Operations research mathematical programming::90B Operations research and management science [Classificació AMS]Electrical and Electronic EngineeringMediterranean regionSimulationCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleEnergy labellingbusiness.industryMechanical EngineeringResidential buildingProbabilistic logicBuilding and ConstructionStochastic modelStochastic model Electric load Residential building Mediterranean region Cluster of buildings Energy labellingCluster of buildingsbusinessEnergy (signal processing)Electric load
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Frctionless contact: step by step analysis and mathematical programming technique

2011

The object of the paper concerns a consistent formulation of the classical Signorini's theory regarding the frictionless unilateral contact problem between two elastic bodies in the hypothesis of small displacements and strains. A variational approach employed in conjunction with the Symmetric Boundary Element Method (SBEM) leads to an algebraic formulation based on generalized quantities [1]. The contact problem is decomposed into two sub-problems: one is purely elastic, the other pertains to the unilateral contact conditions alone [2,3]. Following this methodology, the contact problem, by symmetric BEM, is characterized by symmetry and sign definiteness of the coefficient matrix, thus adm…

Multidomain SGBEM frictionless contact mathematical programming
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