Search results for "Mathematical optimization"

showing 10 items of 1300 documents

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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The linear saturated decentralized strategy for constrained flow control is asymptotically optimal

2013

We present an algorithm for constrained network flow control in the presence of an unknown demand. Our algorithm is decentralized in the sense that it is implemented by a team of agents, each controlling just the flow on a single arc of the network based only on the buffer levels at the nodes at the extremes of the arc, while ignoring the actions of other agents and the network topology. We prove that our algorithm is also stabilizing and steady-state optimal. Specifically, we show that it asymptotically produces the minimum-norm flow. We finally generalize our algorithm to networks with a linear dynamics and we prove that certain least-square optimality properties still hold.

Production-distribution systemsOptimizationMathematical optimizationRobust controlUncertain systemsMinimum normNetwork topologyMinimum norm flowControl theoryElectric network topologyConstrained flowUncertain systemsElectrical and Electronic EngineeringMathematicsFlow control (data)Network topologyAsymptotically optimalRobust control; OptimizationUncertain systemEthernet flow controlAsymptotically optimal Constrained flow Distributed flow control Minimum norm Network optimization Network topology Production-distribution systems Steady-state optimal; Algorithms Electric network topology Flow control Uncertain systems; OptimizationProduction-distribution systemFlow controlAsymptotically optimal algorithmControl and Systems EngineeringSteady-state optimalMinimum-cost flow problemDistributed flow controlRobust controlNetwork optimization; Distributed flow control; Production-distribution systems; Uncertain systems; Minimum norm flowNetwork optimizationAlgorithms
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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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A practical protocol for calibration of nutrient removal wastewater treatment models

2011

Activated sludge models can be very useful for designing and managing wastewater treatment plants (WWTPs). However, as with every model, they need to be calibrated for correct and reliable application. Activated sludge model calibration is still a crucial point that needs appropriate guidance. Indeed, although calibration protocols have been developed, the model calibration still represents the main bottleneck to modelling. This paper presents a procedure for the calibration of an activated sludge model based on a comprehensive sensitivity analysis and a novel step-wise Monte Carlo-based calibration of the subset of influential parameters. In the proposed procedure the complex calibration i…

Protocol (science)Atmospheric ScienceEngineeringMathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)business.industryMonte Carlo methodsensitivity analysiActivated sludge modelidentifiabilityGeotechnical Engineering and Engineering Geologycalibration protocolGLUEBottleneckASMIdentifiabilitySensitivity (control systems)businessGLUEwastewater treatment modellingSimulationCivil and Structural EngineeringWater Science and TechnologyJournal of Hydroinformatics
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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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On a class of compactly epi-Lipschitzian sets

2003

The paper is devoted to the study of the so-called compactly epi-Lipschitzian sets. These sets are needed for many aspects of generalized differentiation, particulary for necessary optimality conditions, stability of mathematical programming problems and calculus rules for subdifferentials and normal cones. We present general conditions under which sets defined by general constraints are compactly epi-Lipschitzian. This allows us to show how the compact epi-Lipschitzness properties behave under set intersections.

Pure mathematicsClass (set theory)Mathematical optimizationcompactly epi-lipschitzian setsnonsmooth analysisApplied MathematicsPhysics::Medical PhysicsStability (learning theory)Mathematics::Optimization and ControlSubderivativeSet (abstract data type)locally compact cones49J52AnalysisMathematicsNumerical stability
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Receiving water quality assessment: comparison between simplified and detailed integrated urban modelling approaches

2010

Urban water quality management often requires use of numerical models allowing the evaluation of the cause–effect relationship between the input(s) (i.e. rainfall, pollutant concentrations on catchment surface and in sewer system) and the resulting water quality response. The conventional approach to the system (i.e. sewer system, wastewater treatment plant and receiving water body), considering each component separately, does not enable optimisation of the whole system. However, recent gains in understanding and modelling make it possible to represent the system as a whole and optimise its overall performance. Indeed, integrated urban drainage modelling is of growing interest for tools to …

Quality ControlMathematical optimizationEnvironmental EngineeringQuality managementComputer sciencemedia_common.quotation_subjectWater SupplyDrainage system (geomorphology)Sensitivity analysisQuality (business)mathematical modellingReliability (statistics)Uncertainty analysisurban drainage integrated modellingWater Science and Technologymedia_commonMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUrbanizationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental engineeringriver water qualitysensitivity analysiModels TheoreticalWater Framework Directiveuncertainty analysi
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Determination of resonance parameters in QCD by functional analysis methods

1988

A mathematically rigorous method based on functional analysis is used to determine resonance parameters of an amplitude from its given asymptotic expression in the space-like region. This method is checked on a model amplitude where both the asymptotic expression and the exact function are known. This method is then applied to the determination of the mass and the width of the ρ-meson from the corresponding space-like asymptotic QCD expression.

Quantum chromodynamicsPhysicsMathematical optimizationAmplitudePhysics and Astronomy (miscellaneous)Mathematical analysisElementary particleField theory (psychology)Function (mathematics)Quantum field theoryExpression (computer science)Engineering (miscellaneous)Resonance (particle physics)Zeitschrift für Physik C Particles and Fields
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Statistical performance of a multiclass bulk production queueing system

2004

Abstract In this paper, we discuss how to statistically analyze a make-to-stock production system the behaviour of which depends on a multiclass bulk queueing system. The performance of the system is evaluated in terms of the different demands of products, processing times and, mainly, through the finished product inventory and other related measures that quantify the queueing effects in the system. A numerical example which illustrates the applicability of the results in an inventory scenario is also discussed.

Queueing theoryMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer scienceQueueing systemManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringProduct (business)Modeling and SimulationLayered queueing networkProduction (economics)SimulationProduction systemEuropean Journal of Operational Research
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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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