Shewhart Control Chart: Long-Term Data Analysis Tool with High Development Capacity

Vladimir Shper, Elena Khunuzidi, Vladimir Smelov and Svetlana Sheremetyeva

A chapter in Quality Control and Quality Assurance - Techniques and Applications from IntechOpen

Abstract: This chapter suggests some of the ways in which we can enrich our understanding of the theory of variability when we extend our attention to a gap between the real problems any practitioner may encounter and the traditional theory of control charts stated in textbooks, guides, standards, etc. The benefits are about more than just covering additional ground, for this expanded focus also provides insights into how many real problems are being ignored, many new types of charts turn out to be excessively difficult for engineers, many tacit assumptions that traditional theory is based on stay not being understood by practitioners. We are going to consider the impact of different types of process instability, data homogeneity, nonnormality, and nonrandomness on the right application of Shewhart control charts. We also propose the recommendations to practitioners on how to avoid the above-mentioned problems and improve data-based decision-making.

Keywords: exploratory data analysis; shewhart control chart; process stability; assignable causes of variation; nonhomogeneity; nonrandomness; capability indices (search for similar items in EconPapers)
JEL-codes: L15 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:318744

DOI: 10.5772/intechopen.113991

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