Quality Systems in Manufacturing

Provided by: Ivy Tech

Covers current quality improvement concepts and techniques in industry with emphasis on modern manufacturing requirements. This course introduces the fundamental tools of Statistical Process Control (SPC) as they are used in industry to reduce costs, identify root cause, and increase productivity at a predictable quality level. Applied principles and techniques of total quality systems will be utilized to ensure correct definition, measurement, analysis, and improvement of common manufacturing problems. Areas of study include; basic statistical and probability theory, sampling techniques, process control charts, nature of variation, histograms, attributes and variable charts.

Course Objectives:

Discuss why identifying and defining a problem is a crucial step in any problem-solving method
Discuss critical thinking, problem analysis, and decision-making techniques used in industry
Utilize tools and tables commonly used in continuous improvement and root cause analysis
Explain the basic concepts and applications of a wide range of statistical quality tools, techniques, decision making, and problem solving tools
Prepare and present data
Analyze data using mean, mode, and standard deviation
Describe the concept of Six Sigma
Describe and demonstrate the fundamentals of SPC
Generate and interpret basic variable and attribute control charts
Create process maps and develop cause and effect strategies
Discuss the Cost of Poor Quality (COPQ) and methods of reduction
Describe the concept of Return on Investment (ROI) and target opportunities.

Recommended Background

PREREQUISITES: Demonstrated competency through appropriate assessment or earning a grade of “C” or better in MATH 122 Applied Technical Mathematics.

Course ID

ADMF 211

Location

All Campuses

Instructor(s)

Competencies

Communication, Critical Thinking, Personal Effectiveness, Data Analysis,Analytic Creation, Predictive Ananlysis, Prescriptive Alnalysis

Method of Delivery

Online