| Revision as of 00:29, 12 February 2008 edit68.99.224.233 (talk)No edit summary← Previous edit | Revision as of 08:08, 17 February 2008 edit undoHanvanloon (talk | contribs)175 editsm Addition of ISO 15504 information and referencesNext edit → | ||
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| The '''Process Capability''' is a measureable property of a process to the specification. The output of this measurement is usually illustrated by a ] and calculations that predict how many parts will be produced out of specification. | The '''Process Capability''' is a measureable property of a process to the specification. The output of this measurement is usually illustrated by a ] and calculations that predict how many parts will be produced out of specification. | ||
| '''Process capability''' is also defined as the capability of a process to meet its purpose as managed by an organization's management and process definition structures ]. | |||
| Two parts of process capability are: 1) Measure the variability of a process, and 2) Compare that variability with a proposed specification or product tolerance. | Two parts of process capability are: 1) Measure the variability of a process, and 2) Compare that variability with a proposed specification or product tolerance. | ||
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| ===Measure the Process=== | ===Measure the Process=== | ||
| The output of a process usually has at least one or more |
The output of a process usually has at least one or more measurable characteristics that are used to specify outputs. These can be analyzed statistically, where the output data shows a ] the process can be described by the process mean (average) and the standard deviation. | ||
| A process needs to be established with appropriate ]s in place. A ] analysis is used to determine whether the process is "in statistical control". If the process is not in statistical control then capability has no meaning. Therefore the process capability involves only ] and not ]. | A process needs to be established with appropriate ]s in place. A ] analysis is used to determine whether the process is "in statistical control". If the process is not in statistical control then capability has no meaning. Therefore the process capability involves only ] and not ]. | ||
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| The ability of a process to meet specifications can be expressed as a single number using a ] or it can be assessed using ]s. Either case requires running the process to obtain enough measurable output so that engineering is confident that the process is stable and so that the process mean and variability can be reliably estimated. ] defines techniques to properly differentiate between stable processes, processes that are drifting (experiencing a long-term change in the mean of the output), and processes that are growing more variable. ] are only meaningful for processes that are stable (in a state of ]). | The ability of a process to meet specifications can be expressed as a single number using a ] or it can be assessed using ]s. Either case requires running the process to obtain enough measurable output so that engineering is confident that the process is stable and so that the process mean and variability can be reliably estimated. ] defines techniques to properly differentiate between stable processes, processes that are drifting (experiencing a long-term change in the mean of the output), and processes that are growing more variable. ] are only meaningful for processes that are stable (in a state of ]). | ||
| For Information Technology, ] specifies a process capability measurement framework for assessing process capability. This measurement framework consists of 6 levels of process capability from none (Capability Level 0) to optimizing processes (CL 5). The measurement framework has been generalized so that it can be applied to non IT processes. There are currently two process reference models covering software and systems. In the next 2-3 years, IT services and enterprise wide processes will be added. The ] in its latest version (CMMi continuous) also follows this approach. The referenced Process Assessment books describe this in greater detail. | |||
| == See also == | == See also == | ||
| ⚫ | *] | ||
| *] | *] | ||
| *] | *] | ||
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| *] | *] | ||
| *] | *] | ||
| *] | |||
| ⚫ | *] | ||
| == External links == | == External links == | ||
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| * Godfrey, A. B., "Juran's Quality Handbook", 1999, ISBN 007034003 | * Godfrey, A. B., "Juran's Quality Handbook", 1999, ISBN 007034003 | ||
| * ASTM E2281 Standard Practice for Process and Measurement Capability Indices | * ASTM E2281 Standard Practice for Process and Measurement Capability Indices | ||
| * Process Assessment and ISO 15504 ISBN 13 9-780387-300481 | |||
| * Process Assessment and Improvement ISBN 13 9-780387-300443 | |||
| ] | ] | ||
Revision as of 08:08, 17 February 2008
A process is a unique combination of tools, materials, methods, and people engaged in producing a measurable output; for example a manufacturing line for machine parts. All processes have inherent statistical variability which can be evaluated by statistical methods.
The Process Capability is a measureable property of a process to the specification. The output of this measurement is usually illustrated by a histogram and calculations that predict how many parts will be produced out of specification.
Process capability is also defined as the capability of a process to meet its purpose as managed by an organization's management and process definition structures ISO 15504.
Two parts of process capability are: 1) Measure the variability of a process, and 2) Compare that variability with a proposed specification or product tolerance.
Measure the Process
The output of a process usually has at least one or more measurable characteristics that are used to specify outputs. These can be analyzed statistically, where the output data shows a normal distribution the process can be described by the process mean (average) and the standard deviation.
A process needs to be established with appropriate process controls in place. A control chart analysis is used to determine whether the process is "in statistical control". If the process is not in statistical control then capability has no meaning. Therefore the process capability involves only common cause variation and not special cause variation.
A batch of data needs to be obtained from the measured output of the process. The more data that is included the more precise the result, however an estimate can be achieved with as few as 17 data points. This should include the normal variety of production conditions, materials, and people in the process. With a manufactured product, it is common to include at least three different production runs, including start-ups.
The process mean (average) and standard deviation are calculated. With a normal distribution, the "tails" can extend well beyond plus and minus three standard deviations, but this interval should contain about 99.73% of production output. Therefore for a normal distribution of data the process capability is often described as the relationship between six standard deviations and the required specification.
Capability study
The output of a process is expected to meet customer requirements, specifications, or product tolerances. Engineering can conduct a process capability study to determine the extent to which the process can meet these expectations.
The ability of a process to meet specifications can be expressed as a single number using a process capability index or it can be assessed using control charts. Either case requires running the process to obtain enough measurable output so that engineering is confident that the process is stable and so that the process mean and variability can be reliably estimated. Statistical process control defines techniques to properly differentiate between stable processes, processes that are drifting (experiencing a long-term change in the mean of the output), and processes that are growing more variable. Process capability indices are only meaningful for processes that are stable (in a state of statistical control).
For Information Technology, ISO 15504 specifies a process capability measurement framework for assessing process capability. This measurement framework consists of 6 levels of process capability from none (Capability Level 0) to optimizing processes (CL 5). The measurement framework has been generalized so that it can be applied to non IT processes. There are currently two process reference models covering software and systems. In the next 2-3 years, IT services and enterprise wide processes will be added. The Capability Maturity Model in its latest version (CMMi continuous) also follows this approach. The referenced Process Assessment books describe this in greater detail.
See also
- Statistical process control
- Statistical interference
- Six Sigma
- Control chart
- Normal distribution
- Corrective and Preventative Action (CAPA)
- Tolerance (engineering)
- IT Grade
- ISO 15504
- Capability Maturity Model
External links
- NIST/SEMATEK discussion of capability
- The Six Sigma Zone
- Cpk and Ppm - www.SiliconFarEast.com
- Process Capability Tool - download "Lean6" to analyze capability and track variability
References
- Pyzdek, T, "Quality Engineering Handbook", 2003, ISBN 0824746147
- Bothe, D. R., "Measuring Process Capability", 2001, ISBN 0070066523
- Godfrey, A. B., "Juran's Quality Handbook", 1999, ISBN 007034003
- ASTM E2281 Standard Practice for Process and Measurement Capability Indices
- Process Assessment and ISO 15504 ISBN 13 9-780387-300481
- Process Assessment and Improvement ISBN 13 9-780387-300443