Beyond SPC
A New Way to Look At Your Processes!

Attend a one-day seminar on:

Process Performance Analysis

– A Revolutionary Approach to Process Characterization

– Accelerate Your SPC Efforts


A New Way to Measure Quality

If you have been charged with managing quality, your job description involves eliminating nonconformance, minimizing variation around appropriate targets, and doing so at minimal cost. The questions you must ask yourself are, “How well are these quality goals being realized?” and “What must be done to improve?” These are not easy questions to answer with traditional approaches found in Statistical Process Control (SPC) and Six Sigma process characterization.

You may have found the current methods of process characterization are inadequate, but may not have known what to do about it. Most processes do not fit the theoretical model as found in common approaches to Statistical Process Control. In addition, with increasing on-line data collection, the information overload makes it difficult to sort through the data and determine process improvement priorities.

Let’s look at three examples:

  • A plastic lid manufacturer has 40 molding machines, 54 tools per molder, tools are replaced every few weeks, and tool-to-tool differences are found. In addition, slight differences are found as batches of raw materials are changed. Other sources of variation include maintenance cycles, start-up periods, and any possible adjustments made by the operating personnel.
  • A metal crown company has eight presses, each containing 22 dies. Slight differences exist die-to-die and press-to-press. In addition, the process exhibits tool wear and slight fluctuations are observed with lot-to-lot changes in steel.
  • An aluminum can manufacturer has two lines in one of its plants. Each line contains 16 stations. Station-to-station differences are found. This process also undergoes tool wear and perfect through-time stability (or control) is not observed in many of the stations.

The traditional approach would be to establish statistical control of a process, determine the underlying process distribution, and then conduct a Process Capability analysis. The problem is that perfect Statistical Control of processes is often not achieved, and distribution analysis is very difficult especially in regards to multiple process streams and through-time process changes. What can we do? Use Process Performance Analysis!



Process Performance Analysis

With Process Performance Analysis you can

  • Assess processes before statistical control is achieved
  • Determine how much stability improvement is needed, if any
  • Determine whether a control chart is even needed for the process under study
  • Determine sources of process loss, such as through-time stability problems, process stream differences, and targeting issues
  • Make comparisons among characteristics, products, plants, and suppliers
  • Determine control and improvement priorities and focus improvement efforts
  • Assess the results of process improvement efforts
  • Determine not only what you need to work on, but what you don't


What You Will Learn
  • A New paradigm in process characterization that will give you greater insight into your processes
  • Why common and special causes, as taught in SPC, are not the whole picture
  • Why leading firms are abandoning Cp, Cpk, and Cpm to characterize processes
  • Why the Sigma index used in Six Sigma deployment tells little about the process
  • Why after such radical new thinking, people say, “This just makes sense.”
  • Why and how Process Performance Analysis will accelerate your SPC efforts
  • You will learn a more practical approach to process characterization
  • You will learn a way to validate and prioritize your process improvement efforts
  • You will be shown how to perform all necessary Performance Calculations to study your processes
  • You will be able to use Process Performance Analysis to develop and manage improvement strategies in your plant(s) or operations

In May of 1998, a paper was presented by Michael V. Petrovich at the American Society for Quality Congress in Philadelphia, PA. The title of the paper was Performance Analysis for Process Improvement.

Click here to view this paper.


Seminar Topics
  • Introduction
  • Sampling
  • Process Performance Analysis
  • Guidelines
  • Six Sigma and Process Performance Analysis
  • Case Studies


Who Should Attend

If you are involved in managing process quality, this seminar is for you. Quality managers, quality engineers, process engineers, Six Sigma practitioners, and operations managers would benefit from this seminar.

This seminar is for people that have found past approaches just don't work, or believe a better way is possible.



Tuition & Specifications
  • Enrollment is $295, Three or More, $250
  • Lunch will be included
  • You will receive a full-color workbook on Process Performance Analysis
  • Bring a calculator
  • Dress code is casual
Seminar Presenter

This seminar will be presented by Michael Petrovich, the managing partner of Forefront Alliance, LLC, a firm specializing in business improvement technologies. Mr. Petrovich is the creator of Process Performance Analysis and has over 20 years of experience in process improvement, consulting and giving seminars with companies across North America assisting them in moving to the next level of performance. He holds a Masters in Business Administration and a Bachelor of Science in Mechanical Engineering and is a registered Professional Engineer. He is an entertaining seminar leader.


Dates and Location