Course Overview
Provides the metrology and quality control background required for MTEC 7017 - Inspection Methods for Quality Control. Covers the basics of common dimensional inspection equipment such as micrometers and calipers, surface plate setups, and Coordinate Measuring Machines. Introduces the 7 problem solving tools commonly used in continuous improvement. Provides an introduction to statistical quality control including sampling plans, control charts, and process capability calculations.
Prerequisite(s)
- 50% in MECH 1210
Credits
3.0
- Retired
- This course has been retired and is no longer offered. Find other Flexible Learning courses that may interest you.
Learning Outcomes
Upon successful completion, the student will be able to:
- Recognize the need for quality control and metrology that results from dimensional variation in manufactured parts.
- Describe, select, and use common dimensional inspection equipment including scales, calipers, micrometers, gauge blocks, surface plates, height gauges, and Coordinate Measuring Machines.
- Interpret drawings and apply requirements in various inspection and test activities.
- Determine which measurement instrument to use in various situations based on considerations such as the characteristic to be measured, the 10:1 rule, the required accuracy level, uncertainty.
- Select, construct, apply, and interpret the seven quality tools: cause and effect diagrams, flow charts (process maps), check sheets, Pareto diagrams, scatter diagrams, control charts, and histograms.
- Identify and define sampling characteristics such as operating characteristic (OC) curve, lot size, sample size, acceptance number, switching rules.
- Design acceptance sampling plans according to Mil-Std-105E and ANSI/ASQC Z1.4 standards.
- Identify and differentiate between statistical terms such as population, sample, parameter, statistic, statistical process control, statistical quality control.
- Define, compute, and interpret measures of central tendency (mean, median, and mode) and dispersion (standard deviation, range, and variance).
- Calculate process yield and percent defectives using areas under the normal curve.
- Identify, select, construct, and interpret variables control charts such as X-bar and R.
- Define the prerequisites for capability, and calculate and interpret Cp and Cpk in various situations.
Effective as of Fall 2004
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.