Search results for "Turing"

showing 10 items of 2644 documents

Production Planning in Production Networks: Models for Medium and Short-term Planning

2008

Distributed production networks are structures which are considered able to provide the organisational agility and efficiency necessary to compete in the global market. The performance of such organisations heavily depends on the ability of those involved in the network to coordinate their activities. Two approaches are available for managing complex distributed production networks: a centralised approach, where a unique entity (the planner, for instance) has all the necessary information to make planning decisions for the entire network; or a decentralised approach where each entity in the network has the necessary information and knowledge to make autonomous planning decisions, while the …

Distributed Decision Making Manufacturing Multi-agent Systems Negotiation Production Networks Production Planning Simulation algorithms productionSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Results of a literature review on methods for estimating buildings energy demand at district level

2019

Abstract In the framework of distributed energy planning, evaluating reliable energy profiles of different sectors has a prominent role. At the same time, it is a quite challenging task, since the availability of actual energy profiles of buildings at the district level is not widespread. A survey of over 70 studies in scientific literature has been accomplished and a set of criteria has been defined for classifying the selected contributions based on the energy demand data features, source and/or estimation methods, highlighting the ones adopting hourly energy profiles. As final results, tables summarizing the main methods characteristics and a selection of studies providing directly useab…

Distributed energy systemComputer scienceUrban energy profiles estimation methodsBuildings hourly energy consumption020209 energyDistributed energy systems02 engineering and technologyScientific literatureBuildings hourly energy consumptionsIndustrial and Manufacturing EngineeringTask (project management)Urban energy profiles estimation methodTransport engineeringSet (abstract data type)Buildings hourly energy consumptions; Distributed energy systems; Urban district energy demand estimation; Urban district energy planning; Urban energy profiles estimation methods; Civil and Structural Engineering; Building and Construction; Pollution; Mechanical Engineering; Industrial and Manufacturing Engineering; Electrical and Electronic Engineering020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringCivil and Structural EngineeringUrban district energy planningSettore ING-IND/11 - Fisica Tecnica AmbientaleEnergy demandbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy planningPollutionGeneral EnergyDistributed generationUrban district energy demand estimationbusinessEnergy (signal processing)Level of detail
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Tabu search with strategic oscillation for the quadratic minimum spanning tree

2014

The quadratic minimum spanning tree problem consists of determining a spanning tree that minimizes the sum of costs of the edges and pairs of edges in the tree. Many algorithms and methods have been proposed for this hard combinatorial problem, including several highly sophisticated metaheuristics. This article presents a simple Tabu Search (TS) for this problem that incorporates Strategic Oscillation (SO) by alternating between constructive and destructive phases. The commonalties shared by this strategy and the more recently introduced methodology called iterated greedy search are shown and implications of their differences regarding the use of memory structures are identified. Extensive …

Distributed minimum spanning treeTree (data structure)Mathematical optimizationQuadratic equationSpanning treeEuclidean minimum spanning treeMinimum spanning treeMetaheuristicIndustrial and Manufacturing EngineeringTabu searchMathematicsIIE Transactions
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Epidermal Growth Factor Receptors and Downstream Signalling Pathways as Cancer Treatment Targets for Medicinal Plants

2015

Downstream (manufacturing)KinaseEpidermal growth factorGrowth factor receptor inhibitorPharmacologyBiologySignal transductionReceptorMedicinal plantsSignalling pathwaysCell biology
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Determination of Pareto frontier in multi-objective maintenance optimization

2011

Abstract The objective of a maintenance policy generally is the global maintenance cost minimization that involves not only the direct costs for both the maintenance actions and the spare parts, but also those ones due to the system stop for preventive maintenance and the downtime for failure. For some operating systems, the failure event can be dangerous so that they are asked to operate assuring a very high reliability level between two consecutive fixed stops. The present paper attempts to individuate the set of elements on which performing maintenance actions so that the system can assure the required reliability level until the next fixed stop for maintenance, minimizing both the globa…

DowntimeEngineeringOptimization problemOperations researchbusiness.industryConstrained optimizationPareto principleMulti-objective optimizationPreventive maintenanceIndustrial and Manufacturing EngineeringSpare partMaintenance actionsMaintenance optimization Multi-objective optimization Reliability Series–parallel systemsSafety Risk Reliability and QualitybusinessReliability Engineering & System Safety
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Particle drag coefficients in turbulent fluids

1998

Abstract An accurate estimation of particle settling velocities, and/or of particle drag coefficients, is required for modelling purposes in many industrially important multiphase processes involving the suspension of millimetre and sub-millimetre size particles in a liquid phase. It is known that the settling velocity of particles in a turbulent fluid may be significantly different from that in the still fluid, depending on turbulence and particle characteristics. Despite the wide range of processes that would benefit from a thorough understanding of this phenomenon, experimental data and reliable correlations are still lacking in the scientific literature, especially for the case of the a…

Drag coefficientRange (particle radiation)ChemistryTurbulenceApplied MathematicsGeneral Chemical EngineeringGeneral ChemistryMechanicsResidence time (fluid dynamics)Industrial and Manufacturing EngineeringPhysics::Fluid DynamicsClassical mechanicsSettlingDragParticleTwo-phase flowChemical Engineering Science
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Driving factors for having visibility of sustainability contents in university degree titles

2020

Abstract Given the increasing concern about sustainability issues in society, graduates and postgraduates going into the labour market benefit from the inclusion of sustainability contents in university studies. Visibility of these contents is gained towards a potential employer if they are explicitly mentioned in the university degree title. This is the first paper to explore this trend. More precisely, the purpose of this study is to find explanatory causal combinations of factors for this trend in the Spanish setting. The methodological approach of this paper is based on fuzzy sets. More precisely, it follows fuzzy-sets Qualitative Comparative Analysis, which is an innovative approach in…

Driving factorsHigher educationRenewable Energy Sustainability and the Environmentbusiness.industryQualitative comparative analysis020209 energyStrategy and ManagementPrestige05 social sciencesVisibility (geometry)02 engineering and technologyBuilding and ConstructionIndustrial and Manufacturing EngineeringEarly adopterSustainability050501 criminology0202 electrical engineering electronic engineering information engineeringSociologyMarketingbusinessInclusion (education)0505 lawGeneral Environmental ScienceJournal of Cleaner Production
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3D-Printed Solid Dispersion Drug Products.

2019

With the well-known advantages of additive manufacturing methods such as three-dimensional (3D) printing in drug delivery, it is disappointing that only one product has been successful in achieving regulatory approval in the past few years. Further research and development is required in this area to introduce more 3D printed products into the market. Our study investigates the potential of fixed dose combination solid dispersion drug products generated via 3D printing. Two model drugs&mdash

Drug3d printedMaterials sciencemedia_common.quotation_subjecteducationPharmaceutical Science3D printing02 engineering and technology030226 pharmacology & pharmacyPolyvinyl alcoholArticle03 medical and health scienceschemistry.chemical_compound0302 clinical medicineamorphous solid dispersionfixed dose combinationmedia_commonbusiness.industry3D printing021001 nanoscience & nanotechnologySolventpoor solubilitychemistryChemical engineeringDrug deliveryManufacturing methods0210 nano-technologybusinessDispersion (chemistry)additive manufacturingPharmaceutics
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Optimal pareto solutions of a dynamic C chart: An application of statistical process control on a semiconductor devices manufacturing process

2015

The present paper proposes a novel economic-statistical design procedure of a dynamic c control chart for the Statistical Process Control (SPC) of the manufacturing process of semiconductor devices. Particularly, a non-linear constrained mathematical programming model is formulated and solved by means of the ε-constraint method. A numerical application is developed in order to describe the Pareto frontier, that is the set of optimal c charts and the related practical considerations are given. The obtained results highlight how the performance of the developed dynamic c chart overcome that of the related static one, thus demonstrating the effectiveness of the proposed procedure.

Dynamic C chartMultidisciplinaryStatistical process controlε-constraint methodMulti-objective designSemiconductor devices manufacturing
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Input-Output Feedback Linearization Control of a Linear Induction Motor Taking Into Consideration Its Dynamic End-Effects and Iron Losses

2020

This article proposes a new input-output feedback linearization control (FLC) technique of linear induction motors (LIMs), taking into consideration both the dynamic end-effects and the iron losses. Starting from a previously conceived dynamic model, including the dynamic end-effects and the iron losses, all the theoretical framework of the FLC has been developed. The proposed FLC improves a previous version of FLC in accounting also the iron losses, which in LIMs with fixed-secondary sheet play a pivotal role more than in rotating induction motors (RIMs). The proposed FLC has been experimentally tested on a suitably developed test setup, and experimental comparisons between the proposed FL…

Dynamic end-effectsEnd effectComputer scienceinput-output feedback linearization control (FLC)05 social sciencesControl (management)020207 software engineering02 engineering and technologyiron lossesIndustrial and Manufacturing EngineeringLinear Induction Motor (LIM) Input-output Feedback Linearization Control (FLC) Dynamic end-effects Iron Losses Space-vector State ModelSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motor0202 electrical engineering electronic engineering information engineeringlinear induction motor (LIM)0501 psychology and cognitive sciencesFeedback linearizationspace-vector state modelnonlinear controlElectrical and Electronic EngineeringInput output feedback linearization050107 human factors
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