Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Control chart tests based on geometric moving averages
Technometrics
The Practical Handbook of Genetic Algorithms: Applications, Second Edition
The Practical Handbook of Genetic Algorithms: Applications, Second Edition
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Operations Research
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
Synthetic-X control charts optimized for in-control and out-of-control regions
Computers and Operations Research
A computer optimization of a set of EWMA quality control charts
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
Computers and Industrial Engineering
On efficient use of auxiliary information for control charting in SPC
Computers and Industrial Engineering
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The design of quality control charts is normally carried out considering a process shift size that is considered important to be detected. The EWMA control chart is one of the best available options to use when good performance is needed to detect small process shifts. This paper presents a method for design of EWMA charts for control processes, in which the detection of small shifts is not necessary, and at the same time is effective in detecting important shifts. In such cases the EWMA control chart can also be designed successfully to deal with these requirements. A Markov chain approach is also applied to determine the ARL of the modified EWMA control chart. The implementation and interpretations are provided and numerical examples are used to illustrate the application procedure. We also investigate some basic properties of the proposed scheme. Genetic algorithms have been used to carry out this design.