Yazar "Şentürk, Sevil" için Endüstri Mühendisliği Bölümü listeleme
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Estimating Fuzzy Life Time with a Fuzzy Reliability Function in the Appliance Sector
Erginel, Nihal; Saraçoğlu, Hande; Yıldız, Gülay; Şentürk, Sevil (Springer International Publishing Ag, 2018)Reliability is defined as the length of time a component works without failing. The reliability function shows an estimate for the probable amount of time a component should work without experiencing failure. Fuzzy set ... -
Evaluating the Packing Process in Food Industry Using Fuzzy X ~ and S ~ Control Charts
Erginel, Nihal; Şentürk, Sevil; Kahraman, Cengiz; Kaya, İhsan (Atlantis Press, 2011)The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement ... -
Evaluating the packing process in food industry using fuzzy and [stilde] control charts
The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement ... -
Fuzzy Dea Approach to Solve the Location Selection of Wind Energy
Erginel, Nihal; Yalçınkaya, Merve; Şentürk, Sevil (World Scientific Publ Co Pte LTD, 2012)Wind energy is an important energy source among the renewable energies, in nowadays. Turkey has many wind energy locations due to the appropriate weather conditions. The problem of location selection of wind energy depends ... -
Fuzzy EWMA and Fuzzy CUSUM Control Charts
Erginel, Nihal; Şentürk, Sevil (Springer Int Publishing Ag, 2016)Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the ... -
Fuzzy Statistical Process Control Techniques in Production Systems
Kahraman, Cengiz; Gülbay, Murat; Erginel, Nihal; Şentürk, Sevil (Springer-Verlag Berlin, 2010)Crisp Shewhart control charts monitor and evaluate a process as "in control" or "out of control" whereas the fuzzy control charts do it by using suitable linguistic or fuzzy numbers by offering flexibility for control ... -
Intelligent Systems in Total Quality Management
Erginel, Nihal; Şentürk, Sevil (Springer-Verlag Berlin, 2015)Total Quality Management (TQM) is a widely known and applied concept by organizations for continuous improvement in the workplace. This philosophy is based on eight main principles: customer focus, leadership, involvement ... -
Modeling attribute control charts by interval type-2 fuzzy sets
Erginel, Nihal; Şentürk, Sevil; Yıldız, Gülay (Springer, 2018)Fuzzy attribute control charts, where data are classified into conforming/nonconforming product units, are used to monitor fuzzy fractions of nonconforming units for variable sample sizes and the fuzzy number of nonconforming ... -
Monitoring Fraction Nonconforming in Process with Interval Type-2 Fuzzy Control Chart
Erginel, Nihal; Şentürk, Sevil; Yıldız, Gülay (Springer International Publishing Ag, 2018)Fuzzy set theory is particularly appropriate approach when data include imprecise. Type-2 fuzzy set theory captures ambiguity that associates the uncertainty of membership functions by incorporating footprints and models ...