Checking date: 16/05/2019

Course: 2019/2020

Digital manufacturing and design technology
Study: Master in Connected Industry 4.0 (357)

Coordinating teacher: CASTEJON SISAMON, CRISTINA

Department assigned to the subject: Department of Mechanical Engineering

Type: Compulsory
ECTS Credits: 3.0 ECTS


Students are expected to have completed
Basic training in industrial engineering: knowledge of technical drawing, and basic concepts of mechanical engineering
Competences and skills that will be acquired and learning results.
BASIC COMPETENCES CB7 That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study CB8 That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments CB9 That students know how to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way GENERAL COMPETENCES CG1 Knowledge and understanding of the theoretical foundations of both industrial processes and services, and communications. CG2 Ability to model, identify basic requirements and analyze various processes. CG4 Knowledge and understanding of the management principles applicable to productive and service environments. CG6 Capacity to adapt to changes in requirements associated with new products, new specifications and environments. SPECIFIC COMPETENCES CE1 Ability to design automatic process systems (production machinery, transport and storage systems and quality control) and the interconnection between their different modules (industrial protocols) CE7 Ability to apply the communication of devices, both among them and globally, in the environment of Connected Industry 4.0 CE9 Ability to identify computer security requirements in connected industry environments CE10 Programmatic data processing capabilities in solving particular problems of the connected industry CE11 Ability to design customizable and adaptable mechanical parts and objects LEARNING RESULT After completing this subject matter, the student will be able to: - Analyze the new digital production systems under the model of IC4.0 and the study of demand. Know the new technologies of digital product production: additive production, rapid prototyping, total quality control, etc. - Design new flexible production systems of low and medium complexity that are capable of producing on demand - Manage the production of a medium-sized system and manage the supply
Description of contents: programme
1. Concepts & Fundamentals of design technology for Digital manufacturing 2. Digitization in the complete life cycle of a product 3. Modeling and mechanical design oriented to the digitization of production 3. Real-time 3D modeling and simulation 4. design technologies applied to additive production and rapid prototyping 5. Design and customization of new components and mechanical systems 6. Product quality control systems 7. Industrial Maintenance 4.0
Learning activities and methodology
TEACHING ACTIVITIES REGARDING TO THE SUBJECT: AF1 Theoretical class AF2 Practical class AF4 Laboratory class AF5 Tutorials AF6 Group work AF7 Student individual work AF8 Exams Activity Code Nº Total Hours Nº Classroom Hours % Clasroom /Student F1 16,5 16,5 100 AF2 4,5 4,5 100 AF4 1,5 1,5 100 AF5 2 2 100 AF6 25 0 0 AF7 25 0 0 AF8 1,5 1,5 100 total 76 26 33%
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • K. Sipsas, K. Alexopoulos, V. Xanthakis, G. Chryssolouris,. Collaborative maintenance in flow-line manufacturing environments: An Industry 4.0 approach. 5th CIRP Global Web Conference Research and Innovation for Future Production, Procedia CIRP 55 (2016) 236 ¿ 241. 2016
  • K.D. Thoben, S. Wiesner, T. Wuest. Industrie 4.0 and Smart Manufacturing- A Review of Research Issues and Application Examples. International Journal of Automation and Technology Vol.11 No.1, 2017 4-16.. 2017
  • M. Brettel, N. Friederichsen, M. Keller, . How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering Vol:8, No:1, 2014, 37-36.. 2014
  • S. Wang, J. Wan, D. Li, C. Zhang. Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks Volume 2016, Article ID 3159805, 1-10.. 2016
Additional Bibliography
  • F. Almada-Lobo. The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management JIM 3, 4 (2015) 16-21.. 2015
  • G. Schuh, T. Potente, C. Wesch-Potente, A.R. Weber. Collaboration Mechanisms to increase Productivity in the Context of Industrie 4.0,. Robust Manufacturing Conference (RoMaC 2014), Procedia CIRP 19 ( 2014 ) 51 ¿ 56.. 2014
  • S. Erol, A. Jäger, P. Hold, K. Ott, W. Sihn. Tangible Industry 4.0: a scenario-based approach to learning for the future of production. th CLF - 6th CIRP Conference on Learning Factories, Procedia CIRP 54 (2016) 13 ¿ 18.. 2016
  • S. Simons, P. Abé, S. Neser,. Learning in the AutFab ¿ the fully automated Industrie 4.0 learning factory of the University of Applied Sciences Darmstadt. 7th Conference on Learning Factories, CLF 2017, Procedia Manufacturing 9 (2017) 81 ¿ 88.. 2017
Recursos electrónicosElectronic Resources *
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The course syllabus and the academic weekly planning may change due academic events or other reasons.