Statistical Process Control of Shaft Production in Lathe Workshop Using Control Charts A.C. Charles Sagayaraj 1 , P. Amudha 2 and V.S. Shabarish 3 1,2 Assistant Professor, Department of Mathematics 3 Department of Mechanical Engineering SRM Institute of Science and Technology Vadapalani Campus accharlez@gmail.com 1 , amutha106@gmail.com 2 , vsshabarish25@gmail.com 3 Abstract Methods of statistical process control were briefly investigated in the field of educational measurement as early as 1999. However, only the use of a cumulative sum chart was explored. In this article other methods of statistical quality control are introduced and explored. In particular, methods in the form of Shewhart mean and standard deviation charts are introduced as techniques for ensuring quality in a measurement process for rating performance items in operational assessments. Several strengths and weaknesses of the procedures are explored with illustrative real and simulated rating data. Further research directions are also suggested. An easy to maintain process was introduced in a small-scale shaft production industry which uses CNC, lathe for production and the process control is applied in various areas for examination of work progress. Keywords: Attribute chart, Shewhart chart, trend chart, variable chart AMS Subject Classification: 13P25 1 Introduction Control charts, also known as Shewhart charts or process-behavior charts, in statistical process control are tools used to determine whether a 1 International Journal of Pure and Applied Mathematics Volume 119 No. 13 2018, 365-373 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu 365