Understanding and Implementing MSA and SPC Basics

Establish a foundation for analyzing your manufacturing system and enhance its effectiveness and efficiency.

Gain a basic understanding of how to establish, analyze and implement effective MSA studies and then use that information to develop a statistical process control (SPC) system in a manufacturing environment. MSA must be firm prior to the measurement of process through SPC, so this course explores both tools and their interaction at an introductory level.

Discover the framework of how to implement and audit MSA and SPC fundamentals at your facility and develop a statistical toolbox that can be used for each of your projects that reflect the stability and capability of your manufacturing system. In this overview course we cover the tools and techniques you need to know about, and we go through basic interpretation and common challenges in both implementing, interpreting and auditing these tools.

Course Details

Length

1 Day


Required

None


Recommended

Knowledge of automotive requirements

Learning Objectives

  • Translate the linkage of SPC and MSA with IATF 16949:2016 requirements and PPAP
  • Identify different types of data and which measurement studies and control methods are the most appropriate
  • Break down your process variation into common and special causes
  • Link the use of these MSA and SPC to the FMEA
  • Incorporate the use of SPC and MSA through applied exercises of both calculation and interpretation
  • Develop measurement profiles based on defining customer requirements and acceptance criteria
  • Develop a Measurement Assurance Plan (MAP) to plan, apply, and improve MSA and SPC studies (linkage with APQP)

Who Should Attend

Recommended for quality managers, Manufacturing Mangers, manufacturing supervisors, quality team leaders, quality assurance and laboratory technicians and engineers, anyone involved in the implementation of IATF 16949:2016, individuals and cross functional teams interested in risk reduction and anyone who wants a better understanding of the fundamentals of SPC and MSA.