Genetic algorithms: foundations and applications
Annals of Operations Research
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
Multiobjective economic design of an X control chart
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms
&agr;-Cut fuzzy control charts for linguistic data
International Journal of Intelligent Systems
A new approach to robust economic design of control charts
Applied Soft Computing
Expert Systems with Applications: An International Journal
Computers and Operations Research
An alternative approach to fuzzy control charts: Direct fuzzy approach
Information Sciences: an International Journal
Neuro fuzzy schemes for fault detection in power transformer
Applied Soft Computing
Expert Systems with Applications: An International Journal
Statistical fuzzy interval neural networks for currency exchange rate time series prediction
Applied Soft Computing
Fuzzy polynomial neural networks for approximation of the compressive strength of concrete
Applied Soft Computing
A neuro-fuzzy approach for prediction of human work efficiency in noisy environment
Applied Soft Computing
Development of fuzzy process control charts and fuzzy unnatural pattern analyses
Computational Statistics & Data Analysis
Fuzzy process control: construction of control charts with fuzzy numbers
Fuzzy Sets and Systems
Construction of p-charts using degree of nonconformity
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A genetic algorithm approach to determine the sample size for attribute control charts
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Process capability analyses based on fuzzy measurements and fuzzy control charts
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Process capability analyses with fuzzy parameters
Expert Systems with Applications: An International Journal
Soft computing methods applied to train station parking in urban rail transit
Applied Soft Computing
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Control charts are a basic means for monitoring the quality characteristics of processes to ensure the required quality level. Determine the sample size is a problem for attribute control charts (ACC). Kaya and Engin [I. Kaya, O. Engin, A new approach to define sample size at attributes control chart in multistage processes: an application in engine piston manufacturing process, J. Mater. Process. Technol. 183 (2007) 38-48] developed a model to determine sample size in multistage process and it was solved by Genetic Algorithms (GAs). In their model, the parameters such as defective item rates for raw materials and benches were assumed to be known exactly. But in many real world applications, these parameters may be changed very dynamically due to material, human factors or operating faults. In this study a fuzzy approach for ACC in multistage process is presented and it is solved by GAs. Formulations of this model are calculated based on acceptance sampling approach and, two main parameters are determined for every stage by GAs. These are: sample size, n, and acceptance number, c. The sample size, n, is suggested for ACC. The main contributions of this paper are to develop a fuzzy model for ACC in multistage processes. The proposed approach is applied in an engine valve manufacturing firm and the model is solved by GAs.