Магистратура
2021/2022
Процессный менеджмент и принятие решений на основе данных
Лучший по критерию «Полезность курса для Вашей будущей карьеры»
Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»
Статус:
Курс обязательный (Производственные системы и операционная эффективность)
Направление:
38.04.02. Менеджмент
Где читается:
Высшая школа бизнеса
Когда читается:
1-й курс, 3 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Порошкин Алексей Георгиевич
Прогр. обучения:
Производственные системы и операционная эффективность
Язык:
английский
Кредиты:
4
Контактные часы:
32
Course Syllabus
Abstract
The effectiveness of the organization in the context of optimization of the value chain, and not in a single enterprise or workplace. A holistic view of the business system - the value chain. The course provides an understanding of how industry value chains compete, not individual enterprises. And such chains are often global.
Learning Objectives
- The main goal is to teach how to use various methods to discover, model, analyze, measure, improve, optimize, and automate business processes.
Expected Learning Outcomes
- Analyse organisational behaviour and resistance to change
- Can define a system and draw the diagram of a system for own example from current work or a different business example
- Can draw a Value stream map, find bottlenecks and opportunities
- Create a standard for a process
- Describe new approaches to running business based on data
- Design a value-driver tree for a basic process (manufacturing or service)
- Design own kamishibai for a specific zone/process/day
- Design ways of measuring and collecting data
- Fill in a process improvement card
- Programming and drawing conclusions from data analysis
- Use 7 SPC - statistical process control techniques
Course Contents
- Introduction
- Process analysis
- Process observations
- Process Improvements
- Managers practices
- Quality management
- Data availability
- Data processing
- Industry 4.0
- Current trends and remaining obstacles
Interim Assessment
- 2021/2022 3rd module0.3 * Personal engagement + 0.4 * Group project + 0.3 * Case interview
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. Ch., 2009
- Introduction to total quality : quality management for production, processing, and services, Goetsch, D. L., 1997
- ISO 9000 quality systems handbook : using the standards as a framework for business improvement, Hoyle, D., 2009
- Operations and supply management, Jacobs, F. R., 2009
- The evolution of a manufacturing system at Toyota, Fujimoto, T., 1999