Fiches de cours 2017-2018

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Simulation and optimisation of industrial applications

ME-499

Enseignant(s) :

Yoo Min-Jung

Langue:

English

Withdrawal

It is not allowed to withdraw from this subject after the registration deadline.

Summary

This course deals with the principal techniques and basic methodology of simulation model building and analysis. Important notions such as discrete event simulation and agent-based simulation will be taught in the course.

Content

- Different types of simulation modelling: event-based, process, agent-based, system dynamics

- Understanding and using simulation software (AnyLogic). 

- Simulation model building: case studies such as manufacturing floor and supply chain, district heat network performance analysis. 

- Methodologies for output analysis and performance assessment

- External tools for optimization

- Team Project for the implementation of simulation case study and performance analysis of their model.

Keywords

Simulation modelling, Agent-based simulation, Discrete event simulation, Performance analysis, AnyLogic simulation tool

Learning Prerequisites

Recommended courses

Production Management (Autumn semestre)

Important concepts to start the course

- Experience with computer

- Good knowledge of programming languages, Java in preference.

 

Learning Outcomes

By the end of the course, the student must be able to:

• Categorize different types of simulation modelling technologies
• Use a simulation tool
• Design simulation model of different cases
• Implement the conceptual model using a simulation tool
• Analyze the performance of the built model
• Apply their knowledge and skills to other contexts of simulation and analysis cases
• Perform optimisation according to chosen criteria

Transversal skills

• Set objectives and design an action plan to reach those objectives.
• Use both general and domain specific IT resources and tools
• Access and evaluate appropriate sources of information.
• Use a work methodology appropriate to the task.

Teaching methods

Project-based, industrial case studies, team project, cxercise sessions for learning the tool and building case study model

Expected student activities

• Practicing with the tool: self-study on technical aspects of the software (on-line tutorial, since the tool provides a rich set of functions and libraries, too large to cover only in the classroom)
• searching project ideas
• brainsrotming with team members

 

Assessment methods

- Intermediary test: written, practical (programming in AnyLogic), individual evaluation

- Project and oral exam (team presentation): end of semester

Supervision

Office hours	Yes
Assistants	Yes
Forum	Yes

Resources

Bibliography

Averill M. Law, Simulation Modeling and Analysis (5th Edition), McGraw-Hill

Ressources en bibliothèque

• Simulation modeling and analysis

Notes/Handbook

- Course slides (main material)

- Anylogic user manual (provided by the company, available online)

Moodle Link

• http://moodle.epfl.ch/course/view.php?id=14850