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