Search results for "multi-objective optimization problem"

showing 2 items of 2 documents

ECONOMIC-STATISTICAL DESIGN APPROACH FOR A VSSI X-BAR CHART CONSIDERING TAGUCHI LOSS FUNCTION AND RANDOM PROCESS SHIFTS

2014

Economic design approaches of control charts are commonly based on the assumption that various cost parameters values and the occurrence risk of assignable causes have to be a priori known with precision. However, in real operative contexts, such parameters can be really difficult to accurately estimate, especially considering costs arising from out-of-control conditions of the process. As consequence, pure economic design approaches can involve chart schemes with low statistical performance. To overcome such limitation, it is herein proposed a multi-objective economic-statistical design approach for an adaptive X-bar chart. In particular, such approach aims at the minimization of both the…

EngineeringMathematical optimizationGeneral Computer Sciencebusiness.industryStochastic processEnergy Engineering and Power TechnologyAerospace Engineeringmulti-objective optimization problemStatistical process controlIndustrial and Manufacturing Engineeringadaptive X-bar control chartNuclear Energy and EngineeringChartControl chartTaguchi loss functionStatistical process controlSensitivity (control systems)ε-constraint methodElectrical and Electronic EngineeringSafety Risk Reliability and QualitybusinessRandom variableSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione\bar x and R chart
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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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