Quality Management and Data Driven Decision Making

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент операционного менеджмента и логистики

Статус:

Курс обязательный

Когда читается:

1-й курс, 4 модуль

Преподаватель

Месеняшин Кирилл Владиленович

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 approach. 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

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

Expected Learning Outcomes

• 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
• Investigate, apprise, and apply quality management practices
• Investigate total quality planning process

Course Contents

• Quality as an object of management
• Inefficiencies: ways to find
• Improvements: ways to handle
• FMEA. IATF 16949 tools
• Statistics, Six Sigma
• Subsidiary quality tools. Quality summary

Assessment Elements

• Attendance
  • Attendance registration. • Score maximum: 10 points.
• Tests
  • 3 tests based on studied materials; • Tests duration each 10 minutes; • Question and offered options for answers with be defined in a way to minimize possibility to use neural network; • The only tests form attended students will be scored. Absent student will get 0 points. • Maximum score: 10 points.
• FMEA group project
  • FMEA Group projects, 7 participants in a group as maximum; • Scoring is for each group. • A possibility to use neural network will be taken into account.
• The exam test
  Examination will be conducted in a computer class. Test is placed on a Smart LMS platform. Test consists of opened and closed questions with several answers (there could be one or several right answers or even without it). Questions are based on studied materials.

Interim Assessment

• 2025/2026 4th module
  0.25 * FMEA group project + 0.25 * Tests + 0.4 * The exam test + 0.1 * Attendance

Bibliography

Recommended Core Bibliography

• Business analytics : data analysis and decision making, Albright, S. C., 2020
• Total quality management : concepts, strategy and implementation for operational excellence, Sharma, S., 2018

Recommended Additional Bibliography

• International encyclopedia of business and management. Vol.2: Deming to industrial strategy, , 1996

Authors

• Крупенко Анна Анатольевна
• Baev Grigorii Olegovich