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Emerging Factory Technologies, 6 credits
Framtidens fabriker, 6 hp
TMPS35
Main field of study
Mechanical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Luis RibeiroDirector of studies or equivalent
Mats BjörkmanEducation components
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Mechanical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Mechanical Engineering, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Production EngineeringIt is recommended that the students have some general notions of industrial automation such as the ones given in TMPS21 course.
Intended learning outcomes
The aim of the course is to offer the students an overview of the future trends in factory technologies. After the course the students should be able to:
- Understand the main technical and conceptual challenges related with the 4th Industrial revolution. Understand the role of reference architectures as blueprints for creating cyber-physical production systems.
- Use the Unified Modeling Language to describe a reference architecture.
- Use the adequate software tools to implement cyber-physical production systems at a prototype scale.
Course content
The lectures will cover the following topics course it will focus on the following topics:
- The fourth industrial revolution
- Emerging IT-based system paradigms and architectures for hyper-flexible systems.
- Design and modelling of hyper-flexible modular production systems.
- Autonomous and Self-organizing systems
- Plug and Produce Systems
- Agent-based Systems
- Service Oriented Architectures
- Cyber-physical Production Systems
- Cloud Computing in a manufacturing Context (“Cloud Manufacturing”)
- Applications of Artificial Intelligence in Production
- The laboratories will include tutorials on the use of specific industrial IT technologies that will support the subsequent laboratorial assignments.
Teaching and working methods
The course will consist of lectures and laboratory exercises. The lectures covering the different topics provide the supporting conceptual background that will be applied in the laboratory exercises. The laboratory exercises consolidate the knowledge acquired on the lectures by providing an “hands on” experience whereby the students implement a prototype that demonstrates and adaptive system and flexible system using the latest available technologies in industrial communication and automation systems most of which may still be in a prototype stage.
Examination
| LAB1 | Laboratory work | 3 credits | U, G |
| UPG1 | Written report | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för ekonomisk och industriell utvecklingDirector of Studies or equivalent
Mats BjörkmanExaminer
Luis RibeiroCourse website and other links
Education components
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
Course literature
Additional literature
Compendia
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 3 credits | U, G |
| UPG1 | Written report | 3 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Additional literature
Compendia
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
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| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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| 1.2 Fundamental engineering knowledge (G1X level) |
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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