Industrial Simulation

Code	15353
Year	3
Semester	S1
ECTS Credits	6
Workload	TP(60H)
Scientific area	Engenharia e Gestão Industrial
Entry requirements	No prerequisites.
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.
Syllabus	1. Random numbers; 2. Discrete simulation and manual simulation of simple systems; 3. Queue models; 4. State spaces and state transition probabilities; 5. Simulation of queues and manufacturing systems; 6. Markov analysis in continuous time of production systems; 7. Statistical analysis of simulated data; 8. Generation of discrete and continuous random variables; 9. Analysis of input data; 10. Statistical techniques of verification and validation; 11. Analysis of results; 12. Development of simulation models with the Arena software.
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.
Teaching Methodologies and Assessment Criteria	The teaching method is based on four different approaches: - Lectures. - Practical classes. - Analysis of case studies. - Monitoring of development work (programming and execution of simulations). - The teaching-learning assessment will be carried out through two tests, both with score 7.5, and five reports of practical work with the Arena software (score 1 each). A student will be excused from the final exam if the assessment score is at least equal to or greater than 9.5. The final evaluation consists of a written exam (scale: 0-20). Restriction to be admitted to Final Exam: a) Assessment score < 6; b) Class attendance <75% (only for regular students).
Language	Portuguese. Tutorial support is available in English.