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 |
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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.
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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 |
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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) |
Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline. |
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2) |
Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems. |
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3) |
Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques. |
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4) |
Have the ability to think analytically and use the time effectively in the process of deduction. |
2 |
5) |
Have the ability to search the literature, understand and interpret scientific articles. |
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6) |
Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License. |
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7) |
Have the ability to work efficiently in interdisciplinary teams. |
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8) |
Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations. |
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9) |
Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards. |
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10) |
Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria. |
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11) |
Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves. |
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