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[(x-bar-LTL)/(3*s) ; (UTL-x-bar)/(3*s)] Used to ascertain how well process is performing in relation to target dimension. |
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(UTL-LTL)/(6*s) Shows how well parts produced from a process fit into the design (tolerance) limits. |
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Sampling to accept or reject the immediate lot of product at hand. |
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Purposes of Acceptance Sampling |
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Definition
Determine quality level Ensure quality is within predetermined level |
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Advantages of Acceptance Sampling |
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Definition
Economy Less handling damage Fewer inspectors Upgrading of the inspection job Applicability to destructive testing Entire lot rejection (motivation for improvement) |
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Disadvantages of Acceptance Sampling |
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Definition
Risk of accepting bad lots and rejecting good lots Added planning and documentation Sample provides less info than 100% inspection |
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Definition
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Definition
refers to the acceptability of procuct across a range of characteristics. Attribute sampling |
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refers to the # of unacceptable conditions per unit - may be higher than the number of defectives. Attibute data |
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Variable (continuous) data |
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Definition
usually measured by the mean and the standard deviation. |
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Goal of Acceptance Sampling |
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Definition
(1) determine how many units, n, to sample from a lot (2) determine the maximum # of defective items, c (acceptance #), that can be found in the sample before the lot is rejected. |
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Term
AQL (acceptable quality level) |
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Definition
max acceptable percentage of defectives defined by the PRODUCER |
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Definition
the probability of rejecting a good lot |
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LTPD (lot tolerance percent defective) |
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Definition
the percentage of defectives that defines the consumer's rejection point |
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Definition
the probability of accepting a bad lot by the consumer |
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Definition
variability built into the system |
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Term
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Definition
occurs because some element of the system or some operating conditions are out of control -Quality control seeks to identify when assignable variation is present so that corrective action can be taken. |
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Term
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Definition
measuring a variable that can be SCALED such as weight, length, temperature, and diameter. |
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Definition
determining the existence of a characteristic such as acceptable-defective, timely-late, and right-wrong |
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Control Chart Assumptions |
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Definition
-repetitive operation will not produce exactly the same outputs -pattern of variability often described by a normal distribution -Random samples that fully represent the population being checked are taken -Sample data plotted on control charts to determine if the process is still under control. |
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Term
What % of our observations would we expect to fill within +/- 3 standard deviations |
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Definition
+/- 3 standard devations expects 99.7 % of our observations to fall within these limits |
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Term
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Definition
based on attribute measurements p-bar = total # of defectives/total # of observations UCL = p-bar + Z*s LCL = p-bar - Z*s |
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Term
x-bar chart control limits |
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Definition
UCL = x-double bar + A2*R-bar LCL = x-double bar - A2*R-bar |
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Definition
UCL = D4*R-bar LCL = D3*R-bar |
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Definition
measures the extent to which an organization's production system can meet design specifications |
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Result of TQM's emphasis on "making it right the first time" |
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Definition
This has resulted in organizations emphasizing the ability of a production system to meet design specifications rather than evaluating the quality of outputs after the fact with acceptance sampling |
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Definition
determined from manufacturing process data |
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Definition
specified in engineering design drawing |
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What does the Process Capability depend on? |
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Definition
-Location of the process mean -Natural variability inherent in the process -Stability of the process -Product's design requirements (therefore a process is capable "when the mean and standard deviation are =" |
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Term
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Definition
within six sigma quality when there are fewer than 3.4 defective parts per million. This corresponds to a process capability ratio/index of 2 |
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