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Quality control

Quality control. What type of Inspection procedures are in use Where in the process should inspection take place How are variations in the process detected before they become defects. 100% Inspection. Every feature/part is inspected Disadvantages are: Very time consuming and expensive.

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Quality control

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  1. Quality control • What type of Inspection procedures are in use • Where in the process should inspection take place • How are variations in the process detected before they become defects

  2. 100% Inspection • Every feature/partis inspected • Disadvantages are: • Very time consuming and expensive. • repetitive nature can lead to inspectors losing concentration resulting in human error e.g. Wrong measurements being made, failure to identify defects etc. • Normally only employed when: • Failure of a component will result in significant risk of injury/death • Where fully automated inspection can be employed quickly and cost effectively and their is little chance of error.

  3. Acceptance Sampling • Close inspection of a randomly selected sample of materials or components from a batch. • Can be based on • Variables: where a specific value/s can be measured and recorded and can vary within prescribed tolerances e.g. Length, diameter, height etc. • Attributes: which are acceptable or unacceptable e.g. Colour, surface finish, size etc.(size is inspected by gauging with Go No-Go as apposed to specific using direct measuring equipment. • Decision whether to accept or reject the whole batch is based on mathematical statistical procedure using the results of this inspection. • This method is less time consuming however it does have certain risks for both the supplier and the consumer

  4. Acceptance Sampling • The most simple form of sampling is taking a sample(n) from a batch and accepting or rejecting the batch depending on defects found. • If defects found are equal or less than agreed limit batch is accepted, if number exceeds agreed limit batch is rejected. • This can be shown graphically by plotting its Operating Characteristic (OC) curve • In an ideal situation this graph would have a straight line as shown opposite where all batches with 5% defects or less (Acceptance Quality Level) AQL are accepted and all with a higher level are rejected Ideal operating characteristics Loop curve

  5. Acceptance Sampling Typical Operating Characteristic Curve • In practice this is never encountered as all processes have some degree of variability • The graph opposite shows a more typical OC curve where; • PAPD is the Process Average Percentage Defective, this usually coincides with the AQL, it is the percentage of defects produced when a process is considered to be operating at an acceptable level • LTPD is the Lot Tolerance Percentage Defective, this is the percentage of defects the customer would find unacceptable also know as consumer risk • AQL is based on type of defects e.g. • Critical (failure results in persons at risk) • Major (failure could seriously effect the function of item) • Minor (not likely to effect the function of the product) • Vendors can use this to rate suppliers

  6. When Should Inspection Take Place • Ideally inspection should take place at critical points in the production process to avoid further costly processes being carried out on already defective parts • Such points could be: • Prior to setting up and performing costly machining processes when a vital part is too small or large • Prior to a point of no return where rectification is impossible e.g. assembly of sealed parts • Before costly operations such as plating are carried out • Before painting which could mask defects • Prior to a process where failure of a part could result in costly damage to machinery

  7. Statistics

  8. Graphic Representation of Data • Consider a sample of 36 location pins selected randomly from a batch of 200. • The nominal diameter is 10mm , each pin is measured and the size and frequency is recorded on a histogram. • The frequency is plotted vertically and the size horizontally • The width of each bar is classified as the class interval

  9. Normal distribution curve

  10. Control Charts/Standard Deviation • Control charts are based on the principle of variability of a process following a normal distribution curve. • There are a number of methods of producing control charts based on this variability or dispersion such as range, mean deviation and standard deviation. • Each has its own advantages but Standard deviation is the most satisfactory for control charts • Standard deviation is the distance from the mid-point on a distribution curve where it starts to change direction and move horizontally as in chart opposite.

  11. Standard Deviation Formulas

  12. Worked Example

  13. Worked Example

  14. Worked Example

  15. Standard Error (SE)

  16. Control Charts • During production Sample batches are measured and the mean size is plotted on the graph this should remain between the UWL and LWL preferably around the normal size. • If they cross these lines then you need to consider making adjustment before they reach the UAL or LAL • If they cross the UAL or LAL the process is out of control and will start to make defective parts • In the chart opposite (bottom) the green line shows a gradual drift in size in a positive direction indicating tool wear over a period of time. The black line shows a gradual increase followed by a sharp increase going outside the UAL which shows a problem has occurred, possibly a broken tool

  17. Process Capability/Capability Index

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