Six Sigma is a set of techniques and tools for process improvement. It seeks to improve the quality of the output of a process by identifying and removing the causes of defects and minimizing variability in manufacturing and business process. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization, who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits.
The aim of this course is to provide participants with a complete and up-to-date overview of six sigma. It covers the basics of six sigma; the principles and language of six sigma; DMAIC; and forecasting future performance, designing, conducting, and analyzing experiments.
At the completion of the course, participants will be able to maintain gains through statistical process control; recognize six sigma technology tool landscape; identify the tools for performing six sigma analysis; manage six sigma; enumerate the top ten do’s and dont’s of six sigma; and list the ten ways to gain synergies with lean and six sigma as well as the ten places to go for help.