introduction to SPC (statistical Process Control)
Statistical process control (SPC) is used to __________. · Provide instructions for operation of process control equipment · Determine when a process is going to produce bad parts before it actually does · Provide high performance control of machines in process applications · Schedule preventive maintenance
Determine when a process is going to produce bad parts before it actually does
The Cpk is a statistical process control term that describes the __________. · Standard outcome of a process · Standard deviation of a process · Capability of a process Mean of a process
capability of a process
A bell-shaped curve that results from a large group of measurements is the basic concept of __________. · Central tendency · Standard deviation · Mean · Controlled variation
central tendency
Two types of variation are __________. · Regular cause and special cause · Common cause and regular cause · Common cause and special cause · Controlled cause and uncontrolled cause
common cause and special cause
A __________ is a graphic method to show how the data is distributed across the range of values. · Pareto diagram · Histogram · Scatter diagram · Flow chart
histogram
Workers perform __________ to control product quality, develop SPC charts, and determine if parts meet specifications. · Root cause analysis · Predictive maintenance activities · Team meetings · Inspections
inspections
A histogram is one type of tool that can be used to __________. · Weigh materials · Network computers · Measure process control · Assure worker attendance
measure process control
If the histogram of a process is not bell-shaped, then the process is __________. · Not centered · Not stable · Normal · None of the above
not stable
Once the Cpk of a process is determined, it can predict the __________ of a product as long as the process __________. · Production rate, remains stable · Life cycle, is within specifications · Quantity, is not stopped · Quality, remains in control
quality, remains in control
Parts are inspected __________ to make sure the typical characteristics of a produced parts are found. · In small lots · In large lots · At only one time each shift · Randomly
randomly
Production departments develop a quality history database by __________. · Working as a team to solve problems · Stopping the line when the number of defects suddenly increase · Recording inspection data Using concurrent engineering
recording inspection data
To save money using SPC, a factory determines if there is a(n) __________ in a process. · Defect · Special cause variation · Error · Common cause variation
special cause variation
Predicting the percentage of parts that will fall within certain measurements if the data is distributed normally is done by calculating the __________. · Range · Mean · Standard deviation · Cell width
standard deviation
SPC stands for __________. · Standard practices and competencies · Statistical Process Control · Staffing protocols and cost Standard part cost
statistical process control
If a sampling plan requires 5 percent of the parts to be inspected, how many parts should be inspected in 1,000 parts? · 5 · 20 · 50 · 500
50
A 100% inspection of a new product revealed that a run of 200 parts resulted in several parts being rejected. If the rejection rate was 3%. How many bad parts were created? · 6 · 60 · 66 · 16
6
If 200 parts are sampled from every 3000 produced, what is the sampling rate? · 0.67 percent · 67 percent · 6.7 percent 0.067 percent
6.7 percent
Random parts should be selected from a production run for inspection because __________. · Selecting parts in batches takes too much time for an operator to inspect · The odds of finding the one bad part are increased · To prevent the operator from only maintaining the machine when a sample is getting ready to be taken · It is the best method to ensure the sample is representative of the typical characteristics of the production run
It is the best method to ensure the sample is representative of the typical characteristics of the production run
When constructing a histogram, no value should ever fall on a(n) __________. · Baseline · Boundary · Axis · Even number
boundary
