Search results for "Scheduling"

showing 10 items of 275 documents

A cost model for the selection of a maintenance activity in a series system

2012

Predictive Maintenance Series Systems Cost Function Maintenance Scheduling
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Financial Evaluation of SLA-based VM Scheduling Strategies for Cloud Federations

2017

In recent years, cloud federations have gained popularity. Small as well as big cloud service providers (CSPs) join federations to reduce their costs, and also cloud management software like OpenStack offers support for federations. In a federation, individual CSPs cooperate such that they can move load to partner clouds at high peaks and possibly offer a wider range of services to their customers. Research in this area addresses the organization of such federations and strategies that CSPs can apply to increase their profit.In this paper we present the latest extensions to the FederatedCloudSim framework that considerably improve the simulation and evaluation of cloud federations. These si…

Process managementCloud managementComputer sciencebusiness.industry020206 networking & telecommunicationsCloud computingWorkload02 engineering and technologyComputer securitycomputer.software_genrePopularityScheduling (computing)Virtual machine0202 electrical engineering electronic engineering information engineeringRevenueCommon value auction020201 artificial intelligence & image processingbusinesscomputerProceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms - Crosscloud'17
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Economic lot scheduling on multiple production lines with resource constraints

2003

Abstract This paper deals with the multiple production line economic lot scheduling problem, where some items cannot be produced concurrently since they compete for some discrete resources. In particular, cyclic schedules are sought for a problem where identical production lines are present, lost sales are allowed, and minimization of the long-range production, setup, inventory, and shortage penalty costs are required. A heuristic procedure for this problem is introduced, a numerical example is worked out and some computational experiments are presented.

Production lineEconomics and EconometricsMathematical optimizationResource constraintsScheduling (production processes)Management Science and Operations ResearchGeneral Business Management and AccountingIndustrial and Manufacturing EngineeringEconomic lot scheduling problemFair-share schedulingGenetic algorithm schedulingEconomicsMinificationHeuristicsInternational Journal of Production Economics
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Project Scheduling with Stochastic Activity Interruptions

1999

In this chapter we address the problem of scheduling the activities of a resource-constrained project, some of which may be interrupted by an uncertain amount of time. The resources may be, for example, machines in a jobshop, computers with specialized software packages (as those needed for engineering designs), or highly specialized technicians.

Project schedule problemSoftwareOperations researchComputer sciencebusiness.industrybusinessScheduling (computing)
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Justification technique generalizations

2006

The justification technique was introduced various decades ago for the resource-constrained project scheduling problem, although it has rarely been used with the problem. Justification is a simple and quick technique which when applied to schedules produces a new schedule that is, at most, as long as the original schedule — and often shorter. A recent article (Valls et al, 2005), showed that incorporating justification in heuristic algorithms can produce a substancial improvement in the results obtained. These results have motivated us to generalise this technique in order to study it in greater depth. This paper proposes distinct forms and generalisations for the justification technique an…

Project scheduling problemScheduleMathematical optimizationRelation (database)Computer scienceHeuristicAlgorithmic efficiencyHeuristicsSimple (philosophy)
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Sleep apnoea management in Europe during the COVID-19 pandemic: data from the European Sleep Apnoea Database (ESADA)

2020

Sleep disordered breathing (SDB) is highly prevalent with a male to female predominance of two to one, and is more common in middle-aged and elderly subjects [1]. Affected patients often present with comorbidities such as obesity, cardiovascular disease (systemic hypertension, heart failure, atrial fibrillation), and diabetes mellitus Type II [2]. The strong overlap between the profile for SDB patients and the identified risk factors for adverse outcomes of COVID-19 infection that include age, male gender, and cardio-metabolic comorbidity [3] suggest that SDB patients may benefit from effective therapy if confronted with COVID-19 infection [4].

Pulmonary and Respiratory MedicinePediatricsmedicine.medical_specialtyDatabases FactualPolysomnographymedicine.medical_treatmentPneumonia ViralPersonnel Staffing and SchedulingPolysomnographyDiseaseCovidsleep laboratoryBetacoronavirus03 medical and health sciencesSleep Apnea SyndromeSleep Apnea Syndromes0302 clinical medicineSurveys and Questionnairesmental disordersResearch LettermedicineHumanscardiovascular diseases030212 general & internal medicineContinuous positive airway pressurePandemicsSleep Medicine SpecialtyContinuous Positive Airway Pressuremedicine.diagnostic_testCoronavirus InfectionSARS-CoV-2business.industrySleep apneaCOVID-19Atrial fibrillationmedicine.diseaseComorbidityObesityTelemedicineEuropeSleep Medicine Specialty030228 respiratory systemHeart failureCoronavirus InfectionsbusinessDelivery of Health CaremanagementEuropean Respiratory Journal
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Multi-stage Linear Programming Optimization for Pump Scheduling

2014

This study presents a methodology based on Linear Programming for determining the optimal pump schedule on a 24-hour basis, considering as decision variables the continuous pump flow rates which are subsequently transformed into a discrete schedule. The methodology was applied on a case study derived from the benchmark Anytown network. To evaluate the LP reliability, a comparison was made with solutions generated by a Hybrid Discrete Dynamically Dimensioned Search (HD-DDS) algorithm. The cost associated with the result derived from the LP initial solution was shown to be lower than that obtained with repeated HD-DDS runs with differing random seeds. (C) 2013 The Authors. Published by Elsevi…

Pump schedulingOptimizationEngineeringMathematical optimizationLinear programmingbusiness.industryGeneral MedicineHD-DDSScheduling (computing)Pump flowMulti stageDecision variablesLinear ProgrammingbusinessEngineering(all)Procedia Engineering
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Pilot Prototype of Autonomous Pallets and Employing Little’s Law for Routing

2015

Application of autonomous control for shop-floor scheduling by considering real-time control of material flows is advantageous to those assembly lines with dynamic and uncertain circumstances. Among several potential processors with computing and communication capabilities—for representing autonomous material carriers—wireless sensor nodes seem as promising objects to be applied in practice. For realizing autonomy in making scheduling and routing-control decisions some methodologies need to be embedded in the nodes. Among several experimented methodologies, e.g., artificial intelligence, genetic algorithm, etc., in the context of a doctoral research, in this current special case of assembly…

Queueing theoryEngineeringJob shop schedulingbusiness.industryDistributed computingLittle's lawDistributed objectScheduling (computing)law.inventionData sharinglawEmbedded systemInternet ProtocolWirelessbusiness
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Comparison and analysis of the revenue-based adaptive queuing models

2006

This paper presents several adaptive resource sharing models that use a revenue criterion to allocate bandwidth in an optimal way. The models ensure QoS requirements of data flows and, at the same time, maximize the total revenue by adjusting parameters of the underlying schedulers. Besides, the adaptive models eliminate the need to find the optimal static weight values because they are calculated dynamically. The simulation consists of several cases that analyse the models and the way they provide the required QoS guarantees. The simulation reveals that the installation of the adaptive model increases the total revenue and ensures the QoS requirements for all service classes. The paper als…

Queueing theoryMathematical optimizationIntegrated servicesComputer Networks and CommunicationsComputer scienceQuality of serviceReal-time computingRevenueTotal revenueWeighted fair queueingScheduling (computing)Shared resourceComputer Networks
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Application of learning pallets for real-time scheduling by the use of radial basis function network

2013

The expansion of the scope and scale of products in the current business environments causes a continuous increase in complexity of logistics activities. In order to deal with this challenge in planning and control of logistics activities, several solutions have been introduced. One of the most latest one is the application of autonomy. The paradigm of autonomy in inbound logistics, can be reflected in decisions for real-time scheduling and control of material flows. Integration of autonomous control with material carrier objects can realize the expected advantages of this alternative into shop-floors. Since pallets (bins, fixtures, etc.) are some common used carrier objects in logistics, t…

Radial basis function networkArtificial neural networkJob shop schedulingArtificial IntelligenceComputer sciencebusiness.industryCognitive NeurosciencePalletArtificial intelligencebusinessIndustrial engineeringComputer Science ApplicationsScheduling (computing)Neurocomputing
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