Search results for "mathematical programming"

showing 10 items of 20 documents

Improving operation of a complex headworks system for municipal use and hydropower production by mathematical programming

2013

The paper presents a Mixed Integer Non Linear Programming (MINLP) model of the water resources system supplying Genoa, in northern Italy. The system presently features five reservoirs, three main river intakes, and two well fields. The hydrological regime is typically Mediterranean; water availability is however relatively abundant, so that drought issues are limited, especially now that water demand from the supply sources has decreased due to reduced population, deindustrialization and to improvement in the operation and maintenance of the water distribution network. In this context, it is worthwhile considering the possibility to relax an over-conservative management of resources, justif…

OptimizationMathematical ProgrammingWater Resources Systems managementSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaHydropower production
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Comparing the Economic Effectiveness of Various Adaptive Schemes for the c Chart

2014

In an attempt to improve the effectiveness of statistical process control (SPC) procedures, a variety of adaptive schemes has been developed in the last decades. However, considering control charts for attributes, relatively few works about adaptive schemes have been proposed, and most of them were proposed only recently. The common characteristic of those schemes is that one or more chart parameters are allowed to adaptively vary during the SPC operations according to the sampling information history, typically the current point plotted on the chart. In this way, the adaptive schemes are smarter than the related static ones, but they are also more complicated in terms of implementation. Th…

control chart for attributelabor resourcestatistical process controlnon-linear mathematical programming modelTaguchi’s loss functionSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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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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Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant

2017

The novel contribution of the work is the proposal of a structured multi-step methodology that may support the Decision Maker (DM) in the measurement of maintenance performance by means of Maintenance Key Performance Indicators (MKPIs). To this aim, a multi-level hierarchical framework able to synthesize the most meaningful aspects affecting the maintenance results is designed. Then, MKPIs are selected from the literature, assigned to the hierarchical framework and ranked by an Analytic Hierarchy Process-based approach with incomplete comparison matrices. A mathematical model is finally formulated to select the optimal set of MKPIs. The methodology is implemented in an oil refinery plant an…

Settore ING-IND/17 - Impianti Industriali MeccaniciMaintenance Key Performance Indicators (MKPIs) Hierarchical Framework AHP Incomplete Pair-Wise Comparison Matrices Mathematical Programming MKPIs Selection
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Economic Robustness Analysis of Adaptive Chart Schemes for Monitoring the Total Nonconformities Number in Inspection Units

2015

In recent years, a variety of enhanced schemes for the c chart have been developed aimed at the effectiveness improving of the related statistical process control (SPC) procedures. However, the performance of such chart schemes can be very sensitive to values assumed for some operating and cost parameters, in particular to the considered process shift magnitude arising from out-of-control conditions. In such a circumstance, the effectiveness of such chart schemes can be subjected to substantial reductions when they are implemented in operative contexts given that, in practice, such value is unknown and it can be very difficult to accurately estimate. For this reason, in the present paper i…

c-chartEconomic optimizationEngineeringGeneral Computer Sciencebusiness.industrylabor resource costtaguchi’s loss functionnon-linear mathematical programming modelEnergy Engineering and Power TechnologyAerospace EngineeringFractional factorial designFailure rateStatistical process controlIndustrial and Manufacturing EngineeringReliability engineeringAdaptive chart for attributeNuclear Energy and EngineeringChartRobustness (computer science)Performance comparisonElectrical and Electronic Engineeringeconomic robustness analysiSafety Risk Reliability and QualitybusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInternational Journal of Reliability, Quality and Safety Engineering
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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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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2014

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the «-constraint method. In order to show the employment of the proposed …

non-linear constrained mathematical programming ModelTaguchi loss functione-constraint methodstatistical process controlPareto optimal frontiermulti-objective optimization problemSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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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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Bayesian joint ordinal and survival modeling for breast cancer risk assessment

2016

We propose a joint model to analyze the structure and intensity of the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a proportional-odds cumulative logit model. Time-to-event is modeled through a left-truncated proportionalhazards model, which incorporates information of the longitudinal marker as well as baseline covariates. Both longitudinal and survival processes are connected by means of a common vector of random effects. General inferences are discussed under the Bayesian approach and include the posterior distribution of the probabilities associated to each longitudinal category and the …

Statistics and ProbabilityEpidemiologyComputer scienceBreast imagingLeft-truncated proportional-hazards modelBayesian probabilityPosterior probabilityPopulationBreast Neoplasmsleft‐truncated proportional‐hazards modelRisk Assessment:Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC]01 natural sciences010104 statistics & probability03 medical and health sciencesBayes' theorem0302 clinical medicineBreast cancerStatisticsCovariateEconometricsmedicineHumansBreast0101 mathematicseducationResearch ArticlesBI-RADS scaleBreast Densityeducation.field_of_studyBI‐RADS scaleLatent processBayes TheoremRandom effects modelmedicine.disease:90 Operations research mathematical programming [Classificació AMS]030220 oncology & carcinogenesisProportional‐odds cumulative logit modelFemaleProportional-odds cumulative logit modelResearch ArticleStatistics in Medicine
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Economic design approach for a SPC inspection procedure implementing the adaptive c chart

2014

The present paper proposes a design approach for a statistical process control (SPC) procedure implementing a c control chart for non-conformities, with the aim to minimize the hourly total quality-related costs. The latter take into account the costs arising from the non-conforming products while the process is in-control and out-of-control, for false alarms, for assignable cause locations and system repairs, for sampling and inspection activities and for the system downtime. The proposed economic optimization approach is constrained by the expected hourly false alarms frequency, as well as the available labor resource level. A mixed integer non-linear constrained mathematical model is dev…

control chart for attributelabor resourcestatistical process controlnon-linear mathematical programming modelTaguchi’s loss functionSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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