Search results for "Process Control"

showing 10 items of 76 documents

A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2013

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 e-constraint method. In order to show the employment of the proposed …

c-chartEngineeringMathematical optimizationOptimization problemOperations researchbusiness.industryManagement Science and Operations ResearchStatistical process controlChartTaguchi loss functionSensitivity (control systems)MinificationSafety Risk Reliability and QualitybusinessInteger (computer science)Quality and Reliability Engineering International
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Comparing the Economic Effectiveness of Various Adaptive Schemes for the c Chart

2013

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…

c-chartMathematical optimizationAdaptive samplingChartComputer scienceFractional factorial designSampling (statistics)Control chartManagement Science and Operations ResearchSafety Risk Reliability and QualityStatistical process controlShewhart individuals control chartReliability engineeringQuality and Reliability Engineering International
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An Effective Double Sampling Scheme for thecControl Chart

2013

In the present paper is developed a statistical process control inspection procedure based on a new simple-to-implement and effective double sampling scheme for the c control chart, aimed at the minimization of the number of inspected observation units and warranting fixed levels for the type I and II error risks. In particular, the formulations of the false alarm risk α, the power P of the chart, and the expected number of inspected observation units for the developed inspection procedure are given, whereas a macro of Microsoft Excel is adopted to solve the tackled problem. In order to illustrate the application of the developed approach and to investigate on the influence of several opera…

c-chartMathematical optimizationChartComputer scienceControl chartFalse alarmMinificationManagement Science and Operations ResearchMacroSafety Risk Reliability and QualityStatistical process controlShewhart individuals control chartReliability engineeringQuality and Reliability Engineering International
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Economic Design Approach for an SPC Inspection Procedure Implementing The Adaptive C Chart

2013

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…

c-chartMathematical optimizationDowntimeOptimization problemFrank–Wolfe algorithmOperations researchComputer scienceControl chartManagement Science and Operations ResearchSolverSafety Risk Reliability and QualityStatistical process controlInteger (computer science)Quality and Reliability Engineering International
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Characterisation and optimal design of a new double sampling <i>c</i> chart

2019

This paper proposes a new double sampling scheme for c control chart (DS-c), which was designed to improve the performance of c chart or to reduce the inspection cost. The mathematical expression required to do an exact evaluation of ARL and ASN is deduced. Further, a bi-objective genetic algorithm is implemented to obtain the optimal design of the DS-c scheme. This optimisation is aimed to simultaneously minimising the error probability type II and the ASN, guaranteeing a desired level for the error probability type I. A performance comparison between the double sampling (DS), fixed parameters (FP), variable simple size (VSS) and exponential weighted moving average (EWMA) schemes for the c…

c-chartOptimal design0209 industrial biotechnology02 engineering and technologyStatistical process controlIndustrial and Manufacturing EngineeringReduction (complexity)Variable (computer science)020901 industrial engineering & automationGenetic algorithmControl chartEWMA chartAlgorithmMathematicsEuropean J. of Industrial Engineering
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Modification of Materials by MeV Ion Beams

2005

Today's fast developing technological based society places ever accelerating demands for new materials and materials processing methods. Leading edge fields as diverse as biomedical tissue engineering, quantum device, optical and magnetic information storage technology as well as immobilization of actinides, all require nanoscale engineering through controlled materials modification. The evolution of these advances from the research science stage to the industrial applications is a particular challenging task. Amongst the beam processing methods for materials modification MeV ions occupy a unique place. They interact strongly with both the atomic and electronic structures of the target mate…

chemistry.chemical_compoundMaterials processingMaterials sciencechemistrySilicon carbideProcess controlNew materialsNanotechnologyBiomedical tissueBeam (structure)Magnetic fieldIon
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An Effective Double Sampling Scheme for the c Control Chart

2015

In the present paper is developed a statistical process control inspection procedure based on a new simple-to-implement and effective double sampling scheme for the c control chart, aimed at the minimization of the number of inspected observation units and warranting fixed levels for the type I and II error risks. In particular, the formulations of the false alarm risk α, the power P of the chart, and the expected number of inspected observation units for the developed inspection procedure are given, whereas a macro of Microsoft Excel is adopted to solve the tackled problem. In order to illustrate the application of the developed approach and to investigate on the influence of several opera…

control chart for attributeexpected number of inspected observation unitstatistical process controlc control chartadaptive c control chart
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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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Real-time optimization of the key filtration parameters in an AnMBR: Urban wastewater mono-digestion vs. co-digestion with domestic food waste

2018

[EN] This study describes a model-based method for real-time optimization of the key filtration parameters in a submerged anaerobic membrane bioreactor (AnMBR) treating urban wastewater (UWW) and UWW mixed with domestic food waste (FW). The method consists of an initial screening to find out adequate filtration conditions and a real-time optimizer applied to a periodically calibrated filtration model for minimizing the operating costs. The initial screening consists of two statistical analyses: (1) Morris screening method to identify the key filtration parameters; (2) Monte Carlo method to establish suitable initial control inputs values. The operating filtration cost after implementing the…

fouling[SDV]Life Sciences [q-bio]0208 environmental biotechnology02 engineering and technologyWastewater010501 environmental sciencesprocess control01 natural sciences7. Clean energyModellinganaerobic membrane bioreactor (AnMBR)law.inventionmodellingBioreactorsDigestion (alchemy)BiogaslawProcess controlurban wastewaterAnaerobiosisWaste Management and DisposalFiltrationTECNOLOGIA DEL MEDIO AMBIENTE0105 earth and related environmental sciencesFoulingAnaerobic membrane bioreactor (AnMBR)Food wasteUrban wastewaterMembranes ArtificialFoulingPulp and paper industry6. Clean water020801 environmental engineeringFood wasteWastewaterfood waste13. Climate actionBiofuels[SDE]Environmental SciencesEnvironmental scienceProcess controlCo digestionFiltration
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