AED705 - Statistics & Quality Management for Technology

Subject Title
Statistics & Quality Management for Technology

Subject Description
This course is about the use of statistical methods and other problem solving techniques to improve the quality of the products used by our society. These products consists of manufactured goods such as automobiles, computers and clothing as well as services such as the generation of electrical energy, public transportation, banking and health care. Quality improvement methods can be applied to any area within a company or organization, including manufacturing, process development, engineering design, finance and accounting, marketing and field service of products.

The present course gives the technical tools needed to achieve quality improvement in these areas and in particular electronic component design and reliability. A review of basic statistics is given followed by the tools of statistical process control: flowcharts, check sheets, histograms, cause and effect diagrams, Pareto diagrams, are used to analyse and improve typical processes in the manufacturing environment by finding the root causes of problems. A project involving electronic component design and reliability is an important and mandatory part of the course evaluation.

Credit Status
One subject credit in the Applied Electronics Design Post Diploma program.

Learning Outcomes
Upon successful completion of this subject the student will be able to:

General Objectives:

(a) To understand the basic concepts of population samples, sampling and to distinguish between variables and attributes.
(b) From a set of measurements, to collect, analyse and present data in suitable tabular form; to draw the histogram and ogive for the data.
(c) To study the properties of the normal, Binomial and Poisson distributions; to find various probabilities by calculation and using tables. To fit a normal curve to the data in (b).
(d) From a set of student produced data, to find the best or least squares line and to calculate a correlation coefficient.
(e) Using the data collected in (b), or other data, to construct the different control charts.
(f) To understand the relevance of different statistical tools; flowcharts, check sheets, histograms, cause and effect diagrams, Pareto diagrams, scatter diagrams and control charts.
(g) To study the role of failure modes effects analysis (FMEA), defects per million concepts and six sigma in the current manufacturing environment.
(h) To understand component reliability and life testing and to be able to make calculations in these areas.
(i) To understand the relevance of experimental design (Monte Carlo methods) prior to the manufacturing process and to make calculations for a two or three factor design.

Specific Objectives:

(a) Basic concepts: population, sample; variable, attribute, inferential statistics.
(b) Patterns of Variation: stem and leaf display, run chart, pie chart, bar graph, histogram, ogive.
(c) Numerical methods: measures of location, shape; mean and standard deviation.
(d) Probability distributions: normal, binomial and Poisson distributions.
(e) To collect, analyze and display data from a set of in-class measurements; to calculate the mean and standard deviation and fit a normal curve to the data.
(f) Sampling distributions: sampling distribution of the mean. Central Limit Theorem.
(g) Linear Regression: scattergram, least squares, line correlation coefficient.
(h) Introduction to Statistical Process Control: use of flowcharts, cause and effect diagrams, Pareto charts, histograms, scatter plots, run charts and control charts to change or improve the manufacturing process.
(i) Attribute acceptance sampling and MIL-STD-105E: to be able to use the tables.
(j) Reliability and Life Testing: components in series and parallel, time to failure, hazard rate, FMEA, MTBF, MTTF, six sigma and defects per million concepts.
(k) Experimental design: to be able to make calculations for a two or three factor design.

Academic Integrity
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Please visit the Academic Integrity website http://open2.senecac.on.ca/sites/academic-integrity/for-students to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

Discrimination/Harassment
All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at student.conduct@senecapolytechnic.ca.

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.

Camera Use and Recordings - Synchronous (Live) Classes
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