MASTER SYLLABUS

2020-2021

A.	Academic Division: Business, Industry and Technology

B.	Discipline: Manufacturing

C.	Course Number and Title: MFGT2100 Quality Control and Spc

D.	Course Coordinator: Chris Barker

Assistant Dean: Toni Johnson, PhD

Instructor Information:

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E.	Credit Hours: 2

F.	Prerequisites: None

G.	Syllabus Effective Date: Fall, 201920

H.	Textbook(s) Title:

Introduction to Statistical Quality Control

Author: Douglas C. Montgomery

Copyright Year: 2012

Edition: 7th

ISBN #: 9781118146811

Workbook(s) and/or Lab Manual: Provided by Instructor

Course Description: This course covers basic manufacturing concepts of Quality Control, SPC (Statistical Process Control), Lean Manufacturing, and other principles, objectives and influencing factors of production control. Students learn about planning and scheduling applications as well as interpretation and application of GDT to prints and inspection settings. Students may take NIMS (National Institute for Metalworking Skills) certification exam in Materials, Measurement and Safety.

K.	College-Wide Learning Outcomes:

College-Wide Learning Outcome	Assessments - - How it is met & When it is met
Communication – Written
Communication – Speech
Intercultural Knowledge and Competence
Critical Thinking
Information Literacy
Quantitative Literacy

L.	Course Outcomes and Assessment Methods:

Upon successful completion of this course, the student shall:

Outcomes	Assessments – How it is met & When it is met
Identify basic Quality Control and Improvement Production Programs	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Identify considerations of manufacturing economics	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Create and interpret documents relative to SPC such as X charts and X-bar charts.	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Identify methods to improve process control, derived from case studies	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Demonstrate understanding of Six-Sigma applications in manufacturing	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Demonstrate understanding of methods and philosophy of Statistical Process Control	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions.
Perform QC related activities using CMM and other data collection activities	Entire semester Use case studies to analyze and evaluate manufacturing situations and propose solutions. Hands on activity in lab.
Update Technical Blueprints with appropriate GDT applications.	Second half of semester. CAD software, CMM inspection and specialized labs.
Optional NIMS testing for certification	Week 14 of semester to week 16. EXAM for NIMS certification, Industry standard

M.	Topical Timeline (Subject to Change):

Part I: Introduction to Quality Control

Quality Improvement in the Modern Business Environment.

The DMAIC Process.

Part II: Statistical Methods Useful in Quality Control and Improvement.

Part III: Basic Methods of Statistical Process Control and Capability Analysis.

Methods and Philosophy of Statistical Process Control.

Control Charts

Process and Measurement System Capability Analysis.

Part IV: Other Statistical Process-Monitoring and Control Techniques.

Engineering Process Control and SPC.

Part V: Process Design and Improvement with Designed Experiments.

Value Stream Mapping

Part VI GDT

Applications to Technical Drawings.

Applications to Inspection Methods

Measurement and Inspection Methods

CMM and other tools

NIMS testing

N.	Course Assignments:

Complete sampling activities using CMM and case study tools.

Complete sampling activities using sample parts and data collection charts.

Complete data collection, organization, and evaluation activities from case studies and analyze problems, then present possible solutions.

Utilize CAD programs to apply appropriate GDT notes to prints.

Setup and perform GDT inspection labs.

Use CMM to collect data and inspect parts

Take the NIMS certification exam in Materials, Measurements and Safety.

O.	Recommended Grading Scale:

NUMERIC	GRADE	POINTS	DEFINITION
93–100	A	4.00	Superior
90–92	A-	3.67	Superior
87–89	B+	3.33	Above Average
83–86	B	3.00	Above Average
80–82	B-	2.67	Above Average
77–79	C+	2.33	Average
73–76	C	2.00	Average
70-72	C-	1.67	Below Average
67–69	D+	1.33	Below Average
63-66	D	1.00	Below Average
60-62	D-	0.67	Poor
00-59	F	0.00	Failure

P.	Grading and Testing Guidelines:

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Q.	Examination Policy:

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R.	Class Attendance and Homework Make-Up Policy:

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S.	Classroom Expectations:

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T.	College Procedures/Policies:

Important information regarding College Procedures and Policies can be found on the syllabus supplement located at

http://catalog.ncstatecollege.edu/mime/download.pdf?catoid=5&ftype=2&foid=3