A. Process capability (acceptance sampling) is:
B. A process is out of control/ or in control when:
C. When does productivity increase/ decrease?
D. What action should be taken if a plotted value falls below the lower control limit on a process control chart?
E. What are some implicit/ explicit components of a service delivery system?
F. Each day for two workweeks (10 days total), George weighs x bags from that day’s production. If the average of the means is y oz. and the average range is z oz., what is the lower control limit/ center line/ upper control limit for an x-bar chart for this process?
A. Process capability is defined as a statistical measure of the inherent process variability of a given characteristic. A capability estimate is typically obtained at the start and end of the study to figure out the level of improvement in a quality improvement initiative.
B. A process is said to out of control when one or more data points fall beyond the upper or lower control limits. Also, if seven consecutive data points are either increasing or decreasing, then also the process is said to be out of control. Alternatively, if the data points fall between the upper and the lower control limits, the process is said to be in control.
C. Productivity is Output/Input. The productivity increases if the output is increased with the same level of input or if the output is maintained with a lower level of input. Similarly, if the output decreases with the same level of input or it remains constant even with higher levels of input, the productivity is said to be decreasing.
D. If a plotted value falls below the lower control limit, it signifies a special cause that is worse than the results from the common causes. This special cause then should be identified and remove from the process.
A. Process capability (acceptance sampling) is: B. A process is out of control/ or in control...
Q1(4 marks) fill in the blank: 1 The process is said to be in control state if two conditions are satisfied: a) b) These are two unnatural patterns of variation within data points in a control chart 2. a) b) 03(20 marks) The bottling machine at JUCE company is being evaluated for its capability BottlingAverage Sample machinestandard deivation Sample size 0.1228 The bottles weight specications are set between 15.8 and 16.2 ounces, and the process mean value is 15.9 ounces...
What action should be taken if a plotted value falls below the lower control limit on a process control chart?
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...
Twelve samples, each containing five parts, were taken from a process that produces steel rods at Emmanual Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. The results were: SAMPLE SAMPLE MEAN (IN.) RANGE (IN.) SAMPLE SAMPLE MEAN (IN.) RANGE (IN.) 1 9.104 0.044 7 9.103 0.021 2 9.100 0.051 8 9.103 0.058 3 9.089 0.042 9 9.097 0.039 4 9.108 0.037 10 9.103 0.038 5...
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...
A manufacturer trying to get a process under control randomly collects 4 samples from the process each hour. Five of the X bar and R measurements are as follows: X bar: 374, 376, 360, 359, 369 R: 3, 2, 5, 2, 3 What are the control limit values for the two control charts (3 per chart)?
When a process is in control, a variable can be taken to be normally distributed with mean of µ0 = 80 and standard deviation of σ = 10. A control chart is to be implemented by plotting the average of n = 16 observations at each time point. Using the formula µ0 ± 3σ/√ n, we have obtained an upper control limit of 87.5 and a lower control limit of 72.5. Suppose the mean of the variable now shifts to...
1. For constructing a X-bar chart, subgroup sample average (x bar) and range (r) are computed for each of 24 preliminary samples using a sample size n=5. We have the following data summary: 24 24 Ex;=816 and Er;= 113 i = 1 i = 1 (a) Find the following for X-bar chart: 06 pts) Upper control limit, Center line, and Lower control limit (b) Find the following for R chart: (6 pts) Upper control limit, Center line, and Lower control...
A manufacturing process produces 500 parts per hour. A sample part is selected about every half hour, and after five parts are obtained, the average of these five measurements is plotted on an x bar control chart. a) Is this an appropriate sampling scheme if the assignable cause in the process results in an instantaneous upward shift in the mean that is of very short duration? b) If your answer is no, propose an alternative procedure.
Boxes of cereals are supposed to weigh exactly 14 oz. Inspectors want to develop process control charts. They take ten samples of six boxes per sample and weigh them. Based on the following computations of the sample means X-bar and the sample ranges, compute the lower and upper control limits and determine whether the process is in control. Use TABLE 10.2 on page 204 of your textbook to find the parameters for control chart limits. Sample X-Bar Range 1 13.8...