Quality Management and Data Driven Decision Making

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

6

Кредиты

Кто читает:

Департамент операционного менеджмента и логистики

Статус:

Курс обязательный

Когда читается:

1-й курс, 3, 4 модуль

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

• 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

• 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 observations
• Data availability
• Data processing
• Statistical process control
• Lean Six Sigma
• Standardization in quality management
• TQM: Total Quality Management
• Management standard practices

Assessment Elements

• Tests during classes
  Short 10 min tests at the beginning of the class. The test typically is a mix of open and closed questions aimed at probing the previous lecture content understanding.
• Home tasks in groups
  Groups of typically 5 students work on real situations as well as provided case scenarios. Homework addresses conceptual and analytical aspects of the course.
• Exam (case-study)
  The case contains 5-6 individual blocks inside, reflecting on the information covered during the course. It typically takes 1 hr 45 min and is run in small groups of 2-3 person.

Interim Assessment

• 2024/2025 4th module
  0.42 * Exam (case-study) + 0.29 * Home tasks in groups + 0.29 * Tests during classes

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

• POROSHKIN Aleksei GEORGIEVICH
• BAEV Grigorii OLEGOVICH