Statistical Process Control (SPC) refers to the use of statistical techniques to control a process, production or manufacturing method through monitoring of process behavior, as a result discovering issues related to internal systems, and allowing for corrective actions to be taken before failure occurs. The best decisions are made using facts and data. The collection and interpretation of data is equally important in manufacturing and service environments. One major goal of this course is to enable you understand how to use SPC to prevent defects from occurring and to drive process improvement. In this course, you will learn how the process champion can utilize SPC in taking action to adjust or investigate process deviation. You will learn how to prevent inappropriate or unnecessary process errors and adjustments. With the help of this course, you will learn the different causes of variation and what actions to take when a process is drifting out of control. This course will enable you to detect issues relating to machine wear, operator setup issues, raw material changes, and differences between similar machines that can affect the quality of your final products. You need this course, if you are a 1) Process engineer 2) Quality engineer and/or officer 3) Quality technician 4) Quality manager 5) Industrial engineer 6) Manufacturing professional At the end of this course, you would be able to describe key concepts in SPC, different types of control charts, explain the concepts of process control, control limits and process capability. You would be able to apply different kinds of control charts for process monitoring. The course contains a bonus section of statistical tools for product evaluation. You would be issued a printable digital certificate via mail after completing this course and scoring at least 50% in the assessment. The assessment would be sent to you via mail after completing your study. NOTE THAT YOU HAVE A LIFETIME ACCESS TO THIS COURSE ONCE YOU ENROL!

The Course includes

5 Sections

17 Lessons

$15