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Apr 15, 2026
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MG 746 - Quality Management and Engineering: Operational Improvements and Quality Systems3 lecture hours 0 lab hours 3 credits
Course Description
Productivity and quality are the result of the sound management and use of available resources. The course introduces the fundamental principles for building and managing a business to satisfy its customers and to be successful. It includes definitions of the basic elements and subsystems for a total quality system, the organization for quality, and an introduction to the technologies of quality control including quality control engineering, process control engineering, quality information equipment engineering, and reliability engineering. Various statistical methods and applications as they are related to analyzing, controlling and improving operations are identified and explained. (prereq: MG 610 , MG 633 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
• Understand the elements of a comprehensive, company-wide quality system, and how such a system is integrated into the organization and management style of the company
• Know what kinds of skills, knowledge and experience are required to manage and operate a business for customer satisfaction and success
• Be knowledgeable of what technologies and tools - especially costs, human factors, and statistics - are available and how they can be applied to all operations within a company.
Prerequisites by Topic
• Familiarity with general business functions and practices
• Knowledge of basic economics and general accounting practices
• Knowledge of general organizational and human development concepts
• Familiarity with basic statistics
Course Topics
• Business and quality concepts (1 class)
• Quality systems (2 classes)
• Documenting the quality system, quality costs, organizing for quality (1 class)
• The organization structure, human factors (1 class)
• Quality engineering technology, process engineering technology (1 class)
• Quality information equipment technology, reliability engineering (1 class)
• Statistics - overview of statistics (1 class)
• New design control, incoming material control (1 class)
• Product control, special process studies (1 class)
• Final Exam (1 class)
Laboratory Topics
None appended
Coordinator
David Schmitz
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