Titlebook: Intelligent Decision Making in Quality Management; Theory and Applicati Cengiz Kahraman,Seda Yanik Book 2016 Springer International Publish

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An Integrated Framework to Analyze the Performance of Process Industrial Systems Using a Fuzzy and ) analysis of the inherent processes in the system and their related equipments are needed to be determined. Although there have been tremendous advances in the art and science of system evaluation, yet it is very difficult to assess these parameters with a very high accuracy or precision. Basically

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A Fuzzy Design of Single and Double Acceptance Sampling Plans,ing complex quality problems. Among intelligent techniques, we focus on the application of the fuzzy set theory in the acceptance sampling. Moreover, we propose multi-objective mathematical models for fuzzy single and fuzzy double acceptance sampling plans with illustrative examples. The study illus

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The Role of Computational Intelligence in Experimental Design: A Literature Review,ntrol theory, optimization, and intelligent decision making. The main objective of DOE is to best select experiments to estimate a set of parameters while consuming as little resources as possible. The enrichment of literature on computational intelligence has supported DOE to extend its sphere of i

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Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Produccesses to demonstrate conformity to product requirements. According to the standard, detailed analysis of data is required for this purpose. The analysis of data should also provide information related to characteristics and trends of processes and products, including opportunities for preventive ac

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Intelligent Quality Function Deployment,f new products. However, some QFD processes substantially involve human subjective judgment, thus adversely affecting the usefulness of QFD. In recent years, a few studies have been conducted to introduce various intelligent techniques into QFD to address the problems associated with subjective judg

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Process Improvement Using Intelligent Six Sigma,uch of the early Six Sigma initiatives was focused on process effectiveness in meeting quality expectations and process efficiency for achieving maximum producer value; the future trends is moving towards utilizing feedback loops to create intelligent processes that enhances the adaptability to chan

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Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analoducts and services. Since its introduction in 1977, IPA has undergone numerous enhancements and extensions, mostly with regard to the operationalization of attribute-importance. Recently, studies have promoted neural network-based IPA approaches to determine attribute-importance more reliably compa