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Quality Management and Data Driven Decision Making

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
6
Кредиты
Статус:
Курс обязательный
Когда читается:
1-й курс, 3, 4 модуль

Преподаватель

Course Syllabus

Abstract

This course is designed for students who have some experience with supply chain management methods and practices. It focuses on the international quality systems, e.g. ISO 9000 and other quality systems, which are applicable to supply chains and attracting the attention of the global competitive businesses that aim to implement these methods in the most efficient way. In the first part, the course covers conceptual principles of quality management, its major stakeholders, possible barriers to effective quality management and control, and the cost of quality management to businesses. Following that, the course is focused on techniques for quality management. These techniques include both quantitative and qualitative techniques. Following that the course will present challenges of identifying data, working with it, deriving management decisions based on that. As a concluding part of the course there will be a section on standard management practices and their importance for the company’s efficiency in implementing decisions and improvements.
Learning Objectives

Learning Objectives

  • The main objective of the course is to facilitate the understanding of quality management principles, and processes and their applicability.
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand, apprise, and apply quality management practices
  • Understand total quality planning process
  • Assess the financial implication of quality control
  • Develop awareness of the relationship between traditional management and TQM
  • Explain the basic concepts of quality assurance
  • Apply quality management concepts and techniques in case analyses and business settings
Course Contents

Course Contents

  • Quality as an object of management
  • Quality management models
  • Six Sigma Foundations, Principles, Roles and Responsibilities
  • Quality Tools and Six Sigma Metrics
  • Process analysis
  • Process observatioты
  • Data availability
  • Data processing
  • Statistical process control
  • Lean Six Sigma
  • Standardization in quality management
  • TQM: Total Quality Management
  • Management standard practices
Assessment Elements

Assessment Elements

  • non-blocking Personal engagement
    *0,3
  • non-blocking Home tasks
    *0,3
  • blocking Exam (case-study)
    *0,4
Interim Assessment

Interim Assessment

  • 2022/2023 4th module
    0.4 * Exam (case-study) + 0.3 * Personal engagement + 0.3 * Home tasks
Bibliography

Bibliography

Recommended Core Bibliography

  • Business analytics : data analysis and decision making, Albright, S. C., 2020
  • Data analysis and decision making with Microsoft Excel, Albright, S. C., 2006
  • Design for Six Sigma for green belts and champions : applications for service operations- foundations, tools, DMADV, cases, and certification, Gitlow, H. S., 2006
  • Introduction to modern statistical quality control and management, Swift, J. A., 1995
  • Introduction to total quality : quality management for production, processing, and services, Goetsch, D. L., 1997
  • ISO 9000 : a comprehensive guide to registration, audit guidelines, and successful certification, Hutchins, G., 1997
  • ISO 9000 quality systems handbook : using the standards as a framework for business improvement, Hoyle, D., 2009
  • ISO 9000 quality systems handbook : using the standards as a framework for business improvement, Hoyle, D., 2010
  • Lessons in Six Sigma : 72 must-know truths for managers, Sarkar, D., 2005
  • Operations and supply management, Jacobs, F. R., 2009
  • Operations management for competitive advantage, Chase, R. B., 2001
  • Six Sigma for green belts and champions : foundations, DMAIC, tools, cases, and certification, Gitlow, H. S., 2005
  • Six Sigma with R : statistical engineering for process improvement, Cano, E. L., 2012
  • Statistics for Six Sigma green belts with Minitab and JMP, Levine, D. M., 2006
  • Strength-based lean Six Sigma : building positive and engaging business improvement, Shaked, D., 2014
  • The evolution of a manufacturing system at Toyota, Fujimoto, T., 1999
  • Total quality management : concepts, strategy and implementation for operational excellence, Sharma, S., 2018
  • Total quality management for project management, Pries, K. H., 2013
  • Understanding A3 thinking : a critical component of Toyota's PDCA management system, Sobek, D. K., 2008

Recommended Additional Bibliography

  • International encyclopedia of business and management. Vol.2: Deming to industrial strategy, , 1996
  • Lean Six Sigma logistics : strategic development to operational success, Goldsby, T. J., 2005
  • World class master scheduling : best practices and lean Six Sigma continuous improvement, Sheldon, D. H., 2006