| Código |
15353
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| Ano |
3
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| Semestre |
S1
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| Créditos ECTS |
6
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| Carga Horária |
TP(60H)
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| Área Científica |
Engenharia e Gestão Industrial
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Learning outcomes |
1. Understand the stochastic nature of real systems.
2. Learn modeling techniques and tools for stochastic systems.
3. Be able to use simulation software tools to model a system and to estimate performance measures of the system.
4. Be able to present the results of the modeling process in a non-technical presentation.
5. To gain practical and applied experience in the use of simulation tools.
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Syllabus |
1. Random Numbers: Discrete Simulation and Manual Simulation of Simple Systems.
2. Queuing Models: State Spaces; State Transition Probabilities.
3. Simulation of Queues and Manufacturing Systems.
4. Continuous-Time Markov Analysis of Production Systems.
5. Statistical Analysis of Simulated Data: Generation of Discrete and Continuous Random Variables.
6. Input Data Analysis: Statistical Verification and Validation Techniques; Results Analysis.
7. Development of Simulation Models with Arena Software.
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Teaching Methodologies and Assessment Criteria |
- Minimum attendance: 60%; Minimum grade to go to the exam(s): 7 points (out of 20 points)
- Individual Work (IW) throughout the semester – IW: 20%.
- Practical work (groups of up to 3 students) – TP: 40%
- Practical Activity report – Weight: 25% (November 20, 2025).
- Presentation – Weight: 15% (To be held on November 26, 2025; November 27, 2025).
- Assessment test – TA: 40%. (To be held on December 11, 2025).
Final Grade = (0.2xIW) + (0.4xTP) + (0.4xTA) >= 9.5 points.
Students with a duly validated status (e.g., working-student) are exempt from the PTPC and oral presentation of the work. The final grade (submission and evaluation dates described above) is:
Final Grade = (0.5xTP) + (0.5xTA) >= 9.5 points.
Regular Exam (EN), Resit Exam (ER) - (to be announced, Jan. and Feb. 2026) – EN or ER = 100%
Final Grade = EN V ER >= 9.5 points.
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Main Bibliography |
- Feldman, R.M., Curry, G.L. (2008). Manufacturing Systems Modelling and Analysis. Springer-Verlag.
- Ross, S. (2006). Simulation, Fourth Edition. Elsevier Inc.
- Kelton, W.D., Rondall, P.S., & Swets, N.B. (2007). Simulation with Arena (McGraw-Hill Series in Industrial Engineering and Management).
- Law, A.M. (2006). Simulation Modelling and Analysis. McGraw-Hill Series in Industrial Engineering and Management.
- D.M. Nicol, Banks, J., Carson, J.S., & Nelson, B.L. (2000). Discrete-Event System Simulation. Englewood Cliffs, NJ, USA: Prentice Hall.
- Rossetti, M.D. (2016). Simulation Modeling and Arena, Second Edition. John Wiley & Sons, Inc.
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| Language |
Portuguese. Tutorial support is available in English.
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