Statistical Process Control
  I: Administrative Information   II: Course Details   III: Topical Outline(s)  Printable Version
Section I: Administrative Information
  Total hours: 42.0
Credit Value: 3.0
Credit Value Notes: N/A
Effective: Winter 2020
Prerequisites: N/A
Corequisites: N/A
Equivalents: N/A
Pre/Co/Equiv Notes: Recommended prerequisite: BUSM70041 Data Analysis and Lean Six Sigma.

Program(s): Lean Six Sigma and Continuous
Program Coordinator(s): N/A
Course Leader or Contact: N/A
Version: 20200106_00
Status: Approved (APPR)

Section I Notes: Students will be required to bring their own laptop. Students will also be required to download Minitab statistical software on their laptop. This course is offered in class. The sessions may include a variety of interactive and engaging activities including discussions, workshops, group activities, role plays, case studies and presentations. Readings, video, and podcasts may be provided online, on Sheridan's Learning and Teaching Environment (SLATE), to support class activities and reinforce material covered during class sessions. Assignment details will be provided in class and on SLATE. Students will need reliable access to the internet.

Section II: Course Details

Detailed Description
Students explore concepts, techniques, and tools that can be used in Statistical Process Control (SPC). They learn how and when to use tools and techniques such as Process Mapping, Graphical Analysis and Control Charts. Students learn how to sustain improvements in Control Plans. Through in-class hands-on activities and assignments, students explore statistical testing techniques and the use of various analytical methods, problem-solving tools and control charts.

Program Context

Lean Six Sigma and Continuous Program Coordinator(s): N/A
This course is part of the Lean Six Sigma and Continuous Improvement Sheridan Certificate Program.

Course Critical Performance and Learning Outcomes

  Critical Performance:
By the end of this course students will have demonstrated the ability to apply a variety of statistical methods, testing techniques and tools required for statistical process control.
Learning Outcomes:

To achieve the critical performance, students will have demonstrated the ability to:

  1. Explain Statistical Process Control and how it relates to fundamental statistics.
  2. Describe the supporting tools used in problem solving and process variability reduction.
  3. Analyze graphical information presented in cause-and-effect diagrams, flowcharts, histograms, Pareto charts, run charts, and scatter diagrams.
  4. Construct control charts to visualize information and implement corrective actions.
  5. Calculate process capability by using a variety of statistical analysis methods and tools.
  6. Develop control plans to sustain process improvements.
  7. Construct Design of experiments for process optimization using statistical tools.

Evaluation Plan
Students demonstrate their learning in the following ways:

 Evaluation Plan: IN-CLASS
 Group In-class Assignment 120.0%
 Group In-class Assignment 220.0%
 Group In-class Assignment 320.0%
 Group In-class Assignment 420.0%
 Comprehensive Final Test20.0%

Evaluation Notes and Academic Missed Work Procedure:
TEST AND ASSIGNMENT PROTOCOL The following protocol applies to every course offered by Continuing and Professional Studies 1. Students are responsible for staying abreast of test dates and times, as well as due dates and any special instructions for submitting assignments and projects as supplied to the class by the instructor. 2. Students must write all tests at the specified date and time. Missed tests, in-class/online activities, assignments and presentations are awarded a mark of zero. The penalty for late submission of written assignments is a loss of 10% per day for up to five business days (excluding Sundays and statutory holidays), after which, a grade of zero is assigned. Business days include any day that the college is open for business, whether the student has scheduled classes that day or not. An extension or make-up opportunity may be approved by the instructor at his or her discretion.

Provincial Context
The course meets the following Ministry of Colleges and Universities requirements:


Essential Employability Skills
Essential Employability Skills emphasized in the course:

  • Communication Skills - Communicate clearly, concisely and correctly in the written, spoken, visual form that fulfills the purpose and meets the needs of the audience.
  • Communication Skills - Respond to written, spoken, or visual messages in a manner that ensures effective communication.
  • Critical Thinking & Problem Solving Skills - Use a variety of thinking skills to anticipate and solve problems.
  • Critical Thinking & Problem Solving - Apply a systematic approach to solve problems.
  • Information Management Skills - Analyze, evaluate, and apply relevant information from a variety of sources.
  • Interpersonal Skills - Show respect for the diverse opinions, values, belief systems, and contributions of others.
  • Interpersonal Skills - Interact with others in groups or teams in ways that contribute to effective working relationships and the achievement of goals.
  • Numeracy - Execute mathematical operations accurately.
  • Personal Skills - Manage the use of time and other resources to complete projects.
  • Personal Skills - Take responsibility for one's own actions, decisions, and consequences.

Prior Learning Assessment and Recognition
PLAR Contact (if course is PLAR-eligible) - Office of the Registrar

  • Not Eligible for PLAR

Section III: Topical Outline
Some details of this outline may change as a result of circumstances such as weather cancellations, College and student activities, and class timetabling.
Instruction Mode: In-Class
Professor: Multiple Professors
Resource(s): N/A
Applicable student group(s): Continuing and Professional Students
Course Details:

Module 1: Statistical Process Control (SPC) and why we use it 

  • Statistical Process Control (SPC)
  • Fundamental elements of Statistical Process Control (SPC)
  • Common SPC tools and processes
  • Steps used in implementing the Statistical Process Control (SPC) Process 

Module 2: Fundamental Statistics - Concepts and Tools 

  • Basic statistical concepts and principles
  • Nature and types of statistical data
  • Frequency Tables, Measures of Central Tendency and Measures of Variability
  • Sampling Techniques 
  • Types of errors, basic probability rules, additive and multiplicative rule of probability, random and expected values, and binomial distribution

Group In-class Assignment 1 (20%)

Module 3:  Problem Solving Tools

  • Tools used in problem solving 
  • Check Sheet and how best to use it
  • Construct tools to present data in a meaningful way (e.g., Cause-and-Effect diagram, Flow Charts, Pareto charts, Scatter Diagram, Probability Plot, Histogram, and Control Charts)
  • Interpret information presented in Cause-and-Effect diagram, Flow Charts, Pareto charts, Scatter Diagram, Probability Plot, Histogram, and Control Charts
  • Key elements of Failure Modes Effects Analysis (FMEA)
  • Brainstorming techniques to collect information for problem resolution  

Module 4: Control Charts

  • Control Charts and how they are used
  • The Central Limit Theorem and control charts 
  • X-Bar & R charts
  • Interpreting Control Charts
  • Rational Subgrouping
  • Zone Control Charts for individuals and Charts for continuous processes
  • P-Charts, np-Charts, c-Charts, and u-Charts

Group In-class Assignment 2 (20%) 

Module 5: Process Capability

  • Key elements of Process Capability
  • Histograms
  • Analyze information presented in histograms
  • Control Charts for Capability Analysis
  • Cp, Cpk Indices, and Gage capability

Group In-class Assignment 3 (20%) 

Module 6: Control Plans

  • Control plans 
  • Attributes of a good control plan
  • Types of control plans
  • Failure Modes Effects Analysis (FMEA), Control Charts and statistical tools
  • Industry examples of SPC applications

Module 7: Experimental Design and Statistics

  • Design of Experiments  (DOE)
  • Levels and factors
  • Screening, Partial and Full factorials
  • Modelling and SimulationsGroup 

Group In-class Assignment 4 (20%) 

Comprehensive Final Test (20%)

Sheridan Policies

All Sheridan policies can be viewed on the Sheridan policy website.

Academic Integrity: The principle of academic integrity requires that all work submitted for evaluation and course credit be the original, unassisted work of the student. Cheating or plagiarism including borrowing, copying, purchasing or collaborating on work, except for group projects arranged and approved by the professor, or otherwise submitting work that is not the student's own, violates this principle and will not be tolerated. Students who have any questions regarding whether or not specific circumstances involve a breach of academic integrity are advised to review the Academic Integrity Policy and procedure and/or discuss them with the professor.

Copyright: A majority of the course lectures and materials provided in class and posted in SLATE are protected by copyright. Use of these materials must comply with the Acceptable Use Policy, Use of Copyright Protected Work Policy and Student Code of Conduct. Students may use, copy and share these materials for learning and/or research purposes provided that the use complies with fair dealing or an exception in the Copyright Act. Permission from the rights holder would be necessary otherwise. Please note that it is prohibited to reproduce and/or post a work that is not your own on third-party commercial websites including but not limited to Course Hero or OneNote. It is also prohibited to reproduce and/or post a work that is not your own or your own work with the intent to assist others in cheating on third-party commercial websites including but not limited to Course Hero or OneNote.

Intellectual Property: Sheridan's Intellectual Property Policy generally applies such that students own their own work. Please be advised that students working with external research and/or industry collaborators may be asked to sign agreements that waive or modify their IP rights. Please refer to Sheridan's IP Policy and Procedure.

Respectful Behaviour: Sheridan is committed to provide a learning environment that supports academic achievement by respecting the dignity, self-esteem and fair treatment of every person engaged in the learning process. Behaviour which is inconsistent with this principle will not be tolerated. Details of Sheridan's policy on Harassment and Discrimination, Academic Integrity and other academic policies are available on the Sheridan policy website.

Accessible Learning: Accessible Learning coordinates academic accommodations for students with disabilities. For more information or to register, please see the Accessible Learning website (Statement added September 2016)

Course Outline Changes: The information contained in this Course Outline including but not limited to faculty and program information and course description is subject to change without notice. Any changes to course curriculum and/or assessment shall adhere to approved Sheridan protocol. Nothing in this Course Outline should be viewed as a representation, offer and/or warranty. Students are responsible for reading the Important Notice and Disclaimer which applies to Programs and Courses.

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