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Simulation of Manufacturing Systems

Code:

MP21131

Sigla:

SSP

Áreas Científicas
Classificação	Área Científica
OFICIAL	Industrial Organisation and Technology
OFICIAL	Matemática

Ocorrência: 2022/2023 - 1S

Ativa?	Yes
Unidade Responsável:	Departamento de Engenharia Mecânica
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MP	12	Plano de Estudos	2	-	6	0	162

Língua de trabalho

Portuguese
Obs.: Português

Objetivos

. To develop in students the ability to systematize and treat information for their use in the modeling of type situations existing at the level of production systems.

. Introduce techniques and approaches for students to be able to build models that support analysis and decision-making in solving production problems.

Resultados de aprendizagem e competências

. New develop in students the ability to systematize and treat information for their use in the modeling of type situations existing at the level of production systems.

. Hability to use techniques and approaches for students to be able to build models that support analysis and decision-making in solving production problems.

Modo de trabalho

Presencial

Programa

Module 1 - Introduction to Simulation

. Terminology and simulation basics

. Types of simulation and variation of time

. Characterization of productive systems and simulation applications

. Advantages and disadvantages of simulation

 

Module 2 - Production Systems

. Type and component activities

. Type of data

. Randomness and phenomena

 

Module 3 - Stochastic Simulation

. Descriptive statistics and Frequency diagrams

. Distribution functions: adjustment to data sets

. Confidence Intervals and Statistical Tests

. Monte Carlo simulation and its application in Excel

. Accuracy and Validity of Data

 

Module 4 - Discrete Simulation

. Discrete time stochastic processes - Markov chains,

. Elements of discrete simulation,

. Queues of Waiting - Theory and modeling

 

Module 5 - Simulation systems

. Languages ​​and simulation programs

. Modeling and simulation methods

. Development of a simulation project

. Definition of the project;

. Model Construction and Testing;

. Validation of the Experimentation Model

. Experiment planning and optimization

. Results analysis

 

Module 6 - New approaches to the simulation and application of virtual environments

. Application cases

. Systems integration

Bibliografia Obrigatória

Robison, S; Successful Simulation: A Practical Approach to Simulation Projects, McGraw-Hill
Carrie, A; Simulation of Manufacturing Systems, Wiley
Law, A; Kelton W.D; Simulation Modeling and Analysis, McGraw-Hill

Métodos de ensino e atividades de aprendizagem

Presentation of topics for research and study, with the opportunity for students to present a synthesis and the conclusions obtained.

It is intended that in this work there is an integration of knowledge presented in the different modules of the curricular unit.

The research and study will be framed within an assignment based on the analysis of a case study that will be developed throughout the semester.

Software

WITNESS Simulation software

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	50,00
Trabalho escrito	25,00
Trabalho laboratorial	25,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Elaboração de projeto	25,00
Estudo autónomo	25,00
Frequência das aulas	25,00
Trabalho laboratorial	25,00
Total:	100,00

Obtenção de frequência

The evaluation method can be by "Continuous Assessment" or by "Evaluation by examination".

Continuous Assessment or evaluation

The evaluation method is based on two evaluation components:
(i) The analysis and development of a Case Study, where various challenges/problems are posed for students to solve. Challenges or problems will always require a theoretical development of the themes and often a practical development. Thus, in the end, they will perform tasks that will be properly documented and presented, with their theoretical component and practical component.

(ii) A final proof of knowledge assessment (PAC-"Prova de avaliação de conhecimentos").

The analysis and development of the Case study can be done individually or in groups, and the groups may be of a dimension of 2, 3 or 4 students.

Analysis and development of the Case Study: Requires a minimum score of 10.
Knowledge assessment test (CAP): Requires a minimum score of 10.

Fórmula de cálculo da classificação final

The weighting of the two evaluation elements for the final classification will be as follows:

In continuous evaluation

• Individual evaluation: 50% Analysis.e Desenvol.Case study + 50% PAC




• Evaluation in a group of 2: 40% Analysis.e Desenvol.Case study + 60% PAC




• Evaluation in a group of 3: 30% Analysis.e Desenvol.Case study + 70% PC




• Evaluation in a group of 4: 20% Analysis.e Desenvol.Case study + 80% PAC

In the evaluation by examination:

• Exam (100%) or


• Exam (50%) + Analysis.e Desenvol.Case study (50%)