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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: 2021/2022 - 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 16 Plano de Estudos 2 - 6 0 162

Docência - Responsabilidades

Docente Responsabilidade
Pedro Filipe do Carmo Cunha

Docência - Horas

Theorethical and Practical : 3,00
Outra: 1,00
Type Docente Turmas Horas
Theorethical and Practical Totais 1 3,00
Pedro Filipe do Carmo Cunha 3,00
José António da Conceição Palma 3,00
Outra Totais 1 1,00
José António da Conceição Palma 1,00
Pedro Filipe do Carmo Cunha 1,00

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 in a project that will be developed during 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

Distribution assessment with final exam

Demonstração da coerência das metodologias de ensino com os objetivos de aprendizagem da UC

The evaluation method is based on the realization of a project to simulate a production system and a final exam:

. Project: Requires minimum grade of 10 values.

. Exam: Requires minimum grade of 10 values. Date of examination: last class.

Fórmula de cálculo da classificação final

Project: Has a weighting of 0.5 of the final grade.

Exam: Has a weighting of 0.5 of the final mark.

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