| Week |
Subject |
Related Preparation |
| 1) |
Introduction to Computer Integrated Manufacturing (CIM) systems, When to apply CIM |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 2) |
Industrial robots |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 3) |
Automated Guided Vehicles (AGVs) |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 4) |
Computer aided design (CAD) |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987.
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| 5) |
CNC Programming, Economic comparison between flexible and traditional manufacturing systems |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 6) |
Conveyor Systems, Storage |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 7) |
Introduction to Digital Manufacturing (DM), Transformation in manufacturing, Consumer Driven Change in Manufacturing |
Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
| 8) |
Midterm Exam |
|
| 9) |
Impact on manufacturing careers, HR in digital manufacturing era, Diversity, equity and inclusion in DM, Organizational Challenges in Digital Transformation, Digital Capabilities as Lifesavers, Advantages of DM, Information sharing in the digital thread, Data procurement and standards |
Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste. |
| 10) |
The industrial internet of things (IIoT), Sensor technology, Economics of sensor technology, Common business cases for sensors, Cloud computing and the IIoT ecosystem, IIoT business value proposition, IIoT implementation framework, IIoT challenges and risks, IIoT future trend |
Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste.
|
| 11) |
Digital Twins (DT) in manufacturing, Complexity and scale of DT, DT and the automotive industry, DT platform ecosystem, DT concept, Business advantages, DT implementation, Challenges and risks, Future look, Digital thread |
Manpower Group. (2016). In Manpower. Retrieved from https://www.manpower.com
UI Labs. (2016). The Digital Manufacturing and Design Innovation Institute. In DMDII
|
| 12) |
Additive Manufacturing, General applications of Additive Manufacturing, Technology of Additive Manufacturing and industrial application examples |
Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste |
| 13) |
Broad Additive Manufacturing partners, Additive Manufacturing business value proposition, Implementation framework, Challenges and risks, Future trends |
|
| 14) |
Broad Additive Manufacturing partners, Additive Manufacturing business value proposition, Implementation framework, Challenges and risks, Future trends |
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| |
Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. |
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| 2) |
Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. |
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| 3) |
Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. |
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| 4) |
Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively. |
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| 5) |
Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics. |
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| 6) |
Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills. |
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| 7) |
Ability to communicate effectively orally and in writing; knowledge of at least one foreign language, ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. |
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| 8) |
Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. |
2 |
| 9) |
Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices. |
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| 10) |
Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. |
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| 11) |
Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions. |
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