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Variation Management of Key Characteristics AS This Standard is SAE MOBILUS. Subscribers can view annotate, and download all of SAE's content. AS Variation Management of Key Characteristics. Chetan Date. Director, Quality Initiatives. Honeywell ES&S. Standardization Management Leader. Variation Management of Key Characteristics (AS) Evaluation Variation relative to the expectations of SAE AS, "Variation Management of Key.


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SAE Technical Standards Board Rules provide that: This report is published by SAE to advance the state of technical and engineering sciences The use of this. AS Rev C mentions Key Characteristics several times. A Definition: The feature of a material or part whose variation has a significant influence on. AS is imposed contractually through Boeing Quality Management System Each shaded box contains a reference to a requirement contained in AS

The thesis fills the gap created with the paucity on scholarly research on statistical process control and variation management to satisfy AS requirements. The thesis addresses the challenges that Aerospace and Aviation industry is facing with variations in the production process.

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Applying and selecting key characteristics to drawings According to AS, 5. Moreover, an appropriate monitoring methodology should be implemented to ensure continued performances. Section 5.

Moreover, measurements used for the control charts should represent the normal production output. Thus, the control chart for the process must be appropriate for the application.

Society of Automotive Engineers, Thus, advanced statistical techniques using SPC is useful in identifying and correcting sources of variation in KC Key Characteristics. The control chart, control line, capability analysis, histogram, range, mean and standard deviation are the SPC tools used in AS A control chart has upper and lower control limits that separate common from assignable causes of variation.

The common range of variation is de-ned by the use of control chart limits. A process is out of control when a plot of data reveals that one or more samples fall outside the control limits. Purpose of the Study The purpose of this study is to investigate the statistical process control and variation management to satisfy AS requirements. The study is expected to guide the Aviation and Aerospace professionals on the use of statistical techniques to reduce variations in order to enhance continuous improvement in quality and productivity in the Aerospace industry.

The thesis also provides the strategies to reduce variations and enhance process control to maintain high production standards that will lead to zero defects in the manufacturing of aviation and aerospace product.

Applying SPC to Manufacturing Application of SPC in the manufacturing process assists in producing high quality product as well as enhancing manufacturing lines with zero defects.

Typically, SPC assists in quality control in the manufacturing process, which includes inspection that enhances early detection and prevention of problems in the production process. Apart from assisting manufacturing firms to reduce waste, SPC assists in eliminating time waste required for the production process. Combining SPC and variation management to satisfy the requirements of AS Combination of SPC and variation management will assist in enhancing quality standard in the production process.

The SPC will assist in identifying variations in production process and the variation management will assist an organization to ensure that quality product is on the control line.

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Theoretical Bases and Organization The project uses the process model to fulfill the requirements of the production process. The model consists of several stages starting from product definition related to KCs variation management. The process model ends with the product monitoring and maintenance. The research will follow the theoretical model using SPC to enhance manufacturing of quality product.

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The following hypothesis is developed to evaluate the importance SPC tool in the variation management. To test the hypothesis, the study is organized in the following format: Chapter one provides the background of the study, the theoretical framework and the overview of the SPC and the AS Chapter two of the study provides the literatures review that explores the past studies on the SPC and the AS The chapter three reveals the research methodology that provides the method of data collection , and data analysis using a quantitative technique.

Chapter four provides the results and discussion. It does, however provide a best practice process for implementing variation management.

Throughout your processes that influence the variation of key characteristics of parts or services, AS is designed to improve the manufacturing processes. If you need to improve the confidence in these part features, then turning to AS for guidance is beneficial.

The latest revision is Rev A.

How understanding these three standards can help with your QMS? As you can see above, these three standards can directly help you with implementing your QMS. If you need a new process for either first article inspection or variation management, then AS or AS will guide you on the best practices for each of these processes within your QMS.

Understanding AS will give you additional information on what your certification body is required to review in order to assess the effectiveness of your QMS systems and processes.

This information can give guidance on which areas might be of interest for you to gauge effectiveness as well.

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If it is the aerospace industry standard for effectiveness, you can benefit from this too. The main thing to remember is this: for many companies, these standards are voluntary. Unless mandated by your contracts, using these standards should only be done for the benefit of your organization, not because someone thinks that AS demands it.

If you enjoyed this article, subscribe for updates Improve your knowledge with our free resources on AS standard. You may unsubscribe at any time. For more information on what personal data we collect, why we need it, what we do with it, how long we keep it, and what are your rights, see this Privacy Notice.In general, any feature or process whose variation will have a significant effect on the performance of the characteristic for its intended use may be a key characteristic.

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One of the objectives of the IAQG is to establish common aerospace industry quality standards and requirements. Definitions selected 3.

Limitation of the Study The study will be limited to the statistical process for the variation control in the production of Aviation and Aerospace parts. Gordon, D.

Excerpt from Other chapter not listed above : c. Typically, SPC assists in quality control in the manufacturing process, which includes inspection that enhances early detection and prevention of problems in the production process. Applying SPC to Manufacturing Application of SPC in the manufacturing process assists in producing high quality product as well as enhancing manufacturing lines with zero defects.

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