Master
2024/2025
Industry 4.0
Type:
Elective course (Science, Technology and Innovation Management and Policy)
Area of studies:
Management
Delivered by:
Department of Educational Programmes
When:
2 year, 2 module
Mode of studies:
offline
Open to:
students of all HSE University campuses
Instructors:
Thomas Thurner
Master’s programme:
Governance of Science, Technology and Innovation
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
Since the financial crisis of 2008, the world struggles to get back to noticeable productivity growth. Industry 4.0 is a hopeful new concept that builds on a set of new technologies that have the potential to disrupt productivity. Industry 4.0 describes the combination of digital technologies and covers the entire “intelligent” value chains from design and development, production, delivery, maintenance, and recycling. Through advanced sensors and connectivity modules data is gathered and converted into decision-relevant information. These connected devices build the larger Internet of Things (IoT) and the resulting data feeds into enhanced machine learning algorithms. These set of technologies though are seen as central for competitiveness of entire nations, which is why these topics have benefitted greatly from policy initiatives.
Learning Objectives
- Industry 4.0 components such as: automation, data exchanges, cloud, cyber-physical systems, mobile, robots, Big Data, deep machine learning, IoT, distributed systems and agile methodology.
- Convergence between consumer and industrial applications, evolution of connectivity technologies and data processing.
- Study how technology applications in Industry 4.0 will change industrial production
- Study how Industry 4.0 contributes to competitive advantages from a management perspective
- Strategize how businesses in different industries can benefit from Industry 4.0, in line with their needs and opportunities
Expected Learning Outcomes
- Comprehend Business model innovation through Industry 4.0
- Comprehend IoT, cyber-physical systems, cloud computing and big data, smart factories and their role in Industry 4.0
- Understand drivers and enablers of Industry 4.0, including policy support
- Understand the nature of the fourth industrial revolution and theoretical concepts
- Understand the opportunities, and challenges brought through Industry 4.0
Course Contents
- Industry 4.0: Design Principles
- Building Blocks of Industry 4.0: Cyber Physical Systems 1
- Building Blocks of Industry 4.0: Cyber Physical Systems 2
- Industry 4.0 and Technologies 1
- Industry 4.0 and Technologies 2
- Data storage and data security
- Aligning Industry 4.0 and Strategies. Advanced Manufacturing Process Analysis
- Industry 4.0 and the national high technology strategies
Bibliography
Recommended Core Bibliography
- Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57(15/16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140
- Dijkman, R. R., Sprenkels, B., Peeters, T. T., & Janssen, A. (2015). Business models for the internet of things. ISSN:0268-4012.
Recommended Additional Bibliography
- Jay Lee, Behrad Bagheri, & Hung-an Kao. (2014). Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial. Https://Www.Researchgate.Net/Profile/Behrad_Bagheri/Publication/266375284_Recent_Advances_and_Trends_of_Cyber-Physical_Systems_and_Big_Data_Analytics_in_Industrial_Informatics/Links/542dc0100cf27e39fa948a7d.Pdf.