Industry spends considerable financial and manpower resources in training operations staff in statistical techniques for quality improvement, but training alone does not necessarily lead to immediate competence. Discusses the various factors which could lead to the success or failure of efforts to improve statistical competence in industrial organizations. Points out that four Es ‐ expectations, education, environment and experience ‐ constitute the essential factors influencing the development of the human expertise required to realize the potential benefits of quality management and technology.
Goh, T.N. (1992), "Realizing Statistical Competence among Technical Personnel", International Journal of Quality & Reliability Management, Vol. 9 No. 3. https://doi.org/10.1108/EUM0000000001650
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