Why it is necessary to ensure that a process is in statistical control before conducting process capability analysis?
Are processes that are in ststistical control also capable?
Statistical process control is necessary to control variations in the output process before doing any capability study. If the sample contains some variations which can be known from the SPC chart is immediately replaced with some other sample in order to get the process under control limits. This helps in stabilizing the process and the operator identifies immediately what is to be done in order to take the process under control.
All processes which are under control may not be capable.
A process is in statistical control when all special causes of variation have been removed and only common cause variation remains, but capability signifies the ability to process parts or produce parts without any nonconformance. A process may be under control but may not be able to produce parts under the specifications. That's why it is important to have a capability study before saying any process is perfect.
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Why it is necessary to ensure that a process is in statistical control before conducting process capability analysis? Are processes that are in ststistical control also capable?
Why are most processes not in statistical control when they are first sampled for control chart purposes?
Inc., is conducting a study to assess the capability of its 150-gram bar soap production line. A critical quality measure is the weight of the soap bars after sampling. The lower and upper specification limits are 162 and 170 grams, respectively. As a part of an initial capability study, 25 samples of size 5 were collected by the quality assurance group and the observations in Table given were recorded. After analyzing the data by using statistical control charts, the T’Challa’s...
8.8. A process is in statistical control with 199 and R-3.5. The control chart uses a sample size of n- 4. Specifications are at 200+8. The quality char- acteristic is normally distributed. (a) Estimate the potential capability of the process. (b) Estimate the actual process capability (c) How much improvement could be made in process performance if the mean could be cen- tered at the nominal value? 8.8. A process is in statistical control with 199 and R-3.5. The control...
Q1: choose the correct answer: - 6σ < C_p means that the process is capable regardless if it is centered or not? A) Yes B) No - Data are usually discrete and in the form of counts are called variables. A) Yes B) No - The control chart is an _____________ process monitoring technique widely used to eliminate process variability A) on-line B) off-line C) both a and b D) out of control - C control chart is used with...
Why is the normality assumption essential to the interpretation of the capability index? A)Because a spread of 6 standard deviations represents 99.73% of cases B) Because the normal distribution always has a mean of 0 C) Because only normal distributions are capable of statistical control D) Because the specifications are always explained by the bell curve
A certain process is under statistical control and has a mean value of 130 and a standard deviation of 8. The specifications for the process are: a. USL (upper specification limit) = 150 b. LSL(lower specification limit) =100 a. Calculate the cp and cpk b. Which of these indices is a better measure of process capability and why? c. Assuminng a normal distribution what percentage of output is expected to fall ourside the specification. Why is it important to know...
6) For the process to be capable of meeting design specifications the process capability index must be a- less than one (1.0) b- greater than one (1.0) c less than zero (0.0) d- greater than zero (0.0) 7) We are monitoring a process that has an outcome that is normally distributed with a mean of 100 and a standard deviation of 10. We would use a (n)----- -- to evaluate whether this process's average is remaining in control. a- x-bar...
'Statistical Process Control (SPC), by its design, will not work in all manufacturing and service processes. For example, on a product where the inspection destroys the product, a technique called acceptance sampling is a better way to determine what percentage of items conforms to specifications. Question 12 options: True False
Unit6: OPTIMIZING AND CONTROLLING PROCESSES THROUGH STATISTICAL PROCESS CONTROL 1. Define the concept of statistical process control SPC? 2. What is SPC key element? 3. Solving the following problem (Using x -charts and R –charts)? a. Using this data to solve the problem by using X bar chart and R chart? b. What is the difference between X bar chart and R chart? c. Draw the control chart for both X bar chart and R chart? d. Explain the result?...
How could bringing a process into statistical control affect a company's production schedule? What benefits can customers see as a result of doing business with a company whose processes are running in a stable, predictable manner?