International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 06 | June-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 734 Diagnostic Tools to Revive Sick Manufacturing Units using SPC (Statistical Process Control) Technique: A Review Mamta Parmar 1 , Er. Harpreet Singh Oberoi 2 , Er. Gaurav Kalia 3 , Harpreet Kaur 4 1, 4 Assistant Professor, Department of Applied Sciences, 2,3 Assistant Professor, Department of Mechanical Engineering Chandigarh Engineering College, Landran, Punjab, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - SPC is the most effective way for enhancing the quality process by systematically minimizing various assignable/special causes of variations. The application of Statistical Process Control techniques requires many skills such as management, statistical, teamwork, Brainstorming and Planning as well to get the intended results. Control charts are utilized by industrial units to augment quality of products and to minimize wastage but other aspects are equally important for the effective implementation of SPC in organizations. This paper depicts implementation of the Statistical Process Control techniques in various manufacturing units. In this research paper, various articles on the implementation of Statistical Process Control techniques in the manufacturing units are examined for the review. Keywords: Statistical Process Control, Quality, Process effectiveness, 7QC Tools. 1.INTRODUCTION SPC is an analytical decision making tool which allows you to see whether a process is working effectively so that preventive measures can be taken at right time. In this era of strains on the resources and rising costs of manufacturing, it becomes apparent that decisions must be taken on the facts, not just opinions by gathering and analyzing data. I. Introduction: SPC is an analytical decision making tool which allows you to see whether a process is working effectively so that preventive measures can be taken at right time. In this era of strains on the resources and rising costs of manufacturing, it becomes apparent that decisions must be taken on the facts, not just opinions by gathering and analyzing data. 1.1 Control Charts: The foundation for SPC was laid by Dr. Walter Shewhart working in the Bell Telephone laboratories in the ͳ9ʹͲ’s conducting research on methods to improve quality and lower costs. He developed the concept of control with regard to variation, and came up with SPC charts which provide a simple way to determine if the process is in control or not. Dr. W. Edwards Deming built upon Shewhart’s work and took the concept to Japan following World war II. There, Japanese industries adopted the concept whole heartedly resulting high quality of Japanese products and are considered world renowed products. Dr. Deming is famous through out Japan as a DzGod of qualitydz. A typical control chart has control limits set at values such that if the process is in control, nearly all points will lie within the upper control limit (UCL) and the lower control limit (LCL). Fig.1 shows Sample of Control Chart 1.2 Basic 7 QC tools 1. Check Sheet 2. Histogram 3. Pareto Chart 4. Cause and Effect Diagram 5. Flow Chart 6. Control Chart 7. Scatter Diagram