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TR

TOTAL QUALITY MANAGEMENT

Course
EMNT502 - TOTAL QUALITY MANAGEMENT
Department
Engineering Management - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Salahi PEHLİVAN
Prerequisite
-
Keywords

Course Description

Total Quality Management (TQM) is a comprehensive and fundamental quality policy that aims continuous improvement. This course focuses on total quality concepts and total quality approach for decision making. In addition to presenting various Total Quality Management concepts and quality improvement tools, importance of customer focus, team formation and problem solving are also underlined. The key actions that highlights importance of quality through planning, design and control are discussed. Up-to-date quality standards and award models are discussed and criticized using real life cases. Aim of the course is to give total quality concept to the students. Also the course explains total quality management decision methods.

TOTAL QUALITY MANAGEMENT

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 30
Final Final 40
Presentation Presentation 30
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Course Overview
Week 2 Introduction
Week 3 Differing perspectives on quality, the essence, basic concepts of TQM
Week 4 Quality and statistical quality control overview
Week 5 Principles and use of TQM
Week 6 External satisfaction of a customer and its components, involving employees
Week 7 Midterm
Week 8 Perceptives of quality of management gurus
Week 9 Perceptives of quality of management gurus
Week 10 Recent trends, phylosophies and approaches to the quality management
Week 11 Quality stanards and award models
Week 12 Importance and method of evaluation & Selected tools and techniques of quality management
Week 13 Selected tools and techniques of quality management
Week 14 Quality and innovation in product and process design & Continuous process improvement & benchmarking.
Week 15 -

Reference Books & Course Materials

  1. 01 Foster, Thomas. (2010). Managing Quality. Prentice Hall, ISBN-10: 0136088503, ISBN-13: 9780136088509.
  2. 02 Aikens, C. Harold (2011). Quality Inspired Management: The Key to Sustainability, Prentice Hall, ISBN-10: 0131197568, ISBN-13: 9780131197565.
  3. 03 Besterfield, Dale H. (2003). Total Quality Management, 3/E. Prentice Hall, ISBN-10: 0130993069, ISBN-13: 9780130993069.
  4. 04 Goetsch, David L. and Stanley Davis. (2006). Quality Management, 5/E, Prentice Hall, ISBN-10: 0131189298, ISBN-13: 9780131189294.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
  2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
  3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
  4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
  5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
  6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
  7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
  8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
  9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
  10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
  11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
  12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.