Practical Lean Six Sigma for Healthcare (with Links to over 30 Excel Worksheets): Using the A3 and Lean Thinking to Improve Operational Performance in ... Clinics, and Physician Group Practices by Trewn Jayant & Ptacek Rob & Sperl Todd

Practical Lean Six Sigma for Healthcare (with Links to over 30 Excel Worksheets): Using the A3 and Lean Thinking to Improve Operational Performance in ... Clinics, and Physician Group Practices by Trewn Jayant & Ptacek Rob & Sperl Todd

Author:Trewn, Jayant & Ptacek, Rob & Sperl, Todd [Trewn, Jayant]
Language: eng
Format: epub
Publisher: MCS Media, Inc.
Published: 2014-05-12T16:00:00+00:00


Process Capability

The best way to escape from a problem is to solve it.

Alan Saporta

What is it?

Process Capability analysis is used to determine if a process, given its natural process variation in a stable state, is capable of meeting customer specifications or requirements. Determining process stability is done by monitoring a process output over time, using Run Charts and/or Statistical Process Control. True improvement in a process is achieved by balancing stability with the capability of meeting customer requirements, otherwise known as process capability.

What does it do?

The definitions and formulas for process average, range, and standard deviation are used to estimate process capability and are as follows:

Process Average = Mean = X-Bar = Sum of all data points / Number of data points

Range = R = Difference between the largest and smallest data point

Standard Deviation (SD) = Root Mean Square (RMS) =

σ = [Sum of ((X- X-bar)² / Number of data points)]½

Process capabilities are calculated as follows:

Cp = Process Capability = Tolerance Range / 6 σ

Cpu = Process capability to the upper tolerance limit = (Upper Tolerance Limit – Process Average) / 3 σ

Cpl = Process capability to the lower tolerance limit = (Process Average- Lower Tolerance limit) / 3 σ

Cpk = the lower of Cpu or Cpl = (Closest Specification Limit to Process Average – Process Average) / 3 σ

Estimates of long term process capability are best predicted by the Cpk value. Cpk considers both the process spread (σ) and the process centering to specification nominal. The standard deviation (SD) representing the process variation is proportional to the overall process spread. A process being 6σ or 6σ capable means that ± 6σ process width falls within the specifications or tolerance limits, as illustrated in the diagram below:



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