Master
2021/2022
Process Management and Data Driven Decision Making
Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type:
Compulsory course (Production Systems and Operational Excellence)
Area of studies:
Management
Delivered by:
Department of Operations Management and Logistics
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Alexey Poroshkin
Master’s programme:
Производственные системы и операционная эффективность
Language:
English
ECTS credits:
4
Contact hours:
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 + 0.3 * Case interview + 0.4 * Group project
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