Search results for "mathematical programming model"

showing 7 items of 7 documents

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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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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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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An effective approach for the maintenance scheduling in large systems with required reliability level: A case study

2015

This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with refe…

constrained genetic algorithmSettore ING-IND/17 - Impianti Industriali Meccanicimathematical programming modelMaintenance scheduling optimizationSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazioneseries–parallel system
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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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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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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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