Process Improvement Plan
The process improvement plan suggests a way to improve upon a process to eliminate wasted time. Getting to work on time is a valued because not doing so may cause termination of services. This is a plan to refine the structure of a process, as opposed to explaining problems singularly. This is done by the statistical process control, control limit, and confidence intervals.
Statistical process control (SPC) entails using random samples to assess and examine the differences in a process (Chase, 2006). Statistical quality control is about being able to improve the quality of a process which includes SPC, a variation decrease, process capacity breakdown, ...view middle of the document...
Use the control limits to evaluate whether or not the variations are out of stink or abnormal, statistical process control techniques are used in the control charts. The point variation from the start to finish is then shown.
Day 1 Day 2 Day 3 Day 4 Day 5 Sample Means
Week 1 30.0 0.0 0.0 0.0 30.0 12.0
Week 2 0.0 0.0 30.0 0.0 30.0 12.0
Week 3 0.0 0.0 30.0 0.0 0.0 6.0
Week 4 0.0 0.0 120.0 0.0 50.0 34.0
Total Mean 16.0
The Control Limits for the mean:
Upper Control Limit = 68.95 minutes
Lower Control Limit =36.95 minutes
Mean =16.0 minutes
By observing and recording the measurements for a longer duration, the mean would be better understood, and the control limits modified. The upper control limit for the four week period is 68.95 minutes; the middle is 16 minutes, and the lower control limit is 36.95 minutes. The control limits are usually placed three standard deviations from the mean which means that it is 99.73 percent likely that the data points will be within the limits.
The confidence interval is the series of value which extends from the lower confidence limit to the upper confidence limit. “This range is expected to cover the population parameter of concern, such as the population mean, with a degree of certainty which is specified up front” (Charusombat, 1997).
Under SPC, a process performs and is spelled out to get as much done as possible with the least down time and waste. While SPC has been applied most frequently to controlling manufacturing lines, it applies just as well to any process with a measurable output. Much of the power of SPC lies in the ability to examine a process and the sources of variation in that process using tools that give weight to objective analysis over subjective opinions and that allow the strength of each source to be determined numerically. Variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste.
Many situations and occurrences could easily cause a...