Abstract
Better quality leads to less waste, improved competitiveness, higher customer satisfaction, higher sales and revenues, and eventually higher profitability. Meeting the quality and performance goals requires that decisions be based on reliable tests and quantitative test data analysis. Statistical process control (SPC) is such a fundamental quantitative approach to quality control and improvement. Walter Shewhart in 1920s and 1930s pioneered the use of statistical methods as a tool to manage and control production.
Cite
CITATION STYLE
Wei, Z., Luo, L., Yang, F., Lin, B., & Konson, D. (2016). Product Durability/Reliability Design and Validation Based on Test Data Analysis. In Springer Series in Reliability Engineering (pp. 379–413). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-1-4471-6778-5_13
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