Industrial Engineering and Management
INDUSTRIAL SIMULATION
Description
Laboratory
3
Instructors
Luís Carlos Ferreira
Contents
1. Introduction: systems, models and simulation. Simulation Concepts: Definition, Terminology used, Advantages and Disadvantages of simulation. Classification of Simulation Models. Modelling philosophies. The Phases of a Simulation Project.
2.Queues. Introduction. Structure of a queue system. Concepts in queue systems. Modelling of queue systems.
3. Modern simulation paradigms (System Dynamics, Discrete Simulation and Agent-based Simulation). Monte Carlo simulation. Statistical nature Considerations. Randomness in simulation. Random number generation. Generation of Random Variables and distributions.
4.Discrete Event Simulation. Testing and validation of simulation models. Use of a professional simulation tool - Arena Simulation. Automatic generation of simulation models by integrating VBA code into the simulation models developed in Arena software.
Learning Outcomes
This course unit has the following main objectives:
(A) Acquisition of a mind-set of critical reflection and the development of the capacity to research, synthesize, structure and present information in the area of industrial simulation.
(B) Acknowledgement of the multiplicity and complexity of issues related to industrial simulation, instilling the need for the continuous updating and broadening of knowledge and skills.
(C) Understand and analyse behaviour of a working system.
(D) Develop models that assist simulation projects.
(E) Develop simulation programs.
(F) Discuss results and conclusions from simulation programs.
(G) Resolution of problems concerning queue systems through simulation.