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Module Code - Title:

PT4067 - SIMULATION MODELLING AND ANALYSIS (ON-LINE)

Year Last Offered:

2020/1

Hours Per Week:

Lecture

1

Lab

1

Tutorial

0

Other

4

Private

4

Credits

6

Grading Type:

N

Prerequisite Modules:

Rationale and Purpose of the Module:

To provide students with knowledge on discrete event simulation modeling and its application to manufacturing, logistic and services systems. To provide students with modelling and software capabilities to apply simulation to manufacturing, logistic and services systems.

Syllabus:

Introduction to simulation Overview of simulation modelling, introduction to the basic concepts of discrete event simulation. The simulation process steps involved in carrying out a simulation project. Comparison of discrete event simulation with continuous simulation and system dynamics. Computer simulation packages Overview of available computer packages, description of representative packages, computer implementation issues. Development of programming skills to apply simulation to manufacturing, logistic and services systems using a generic simulation package. Provide an overview of available simulation software. Statistical aspects of simulation Input analysis, random number generation, output analysis, experimental design. Queuing Models Provide comparison of simulation with stochastic mathematical models through the introduction of basic queuing models. Systems Design Using simulation students will carry out systems (manufacturing, logistic and services systems) design assignments.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

1. Critique and be able to explain the role of simulation modeling in systems design and analysis. 2. Be able to apply the steps of a simulation project. 3. Be able to develop simulation models of basic manufacturing, logistics and service systems. 4. Be able to analyse statistically input data, output data analysis. 5. Be able to apply basic queuing theory and evaluate its advantages/disadvantages when compared to discrete event simulation.

Affective (Attitudes and Values)

N/A

Psychomotor (Physical Skills)

N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

This module will be delivered by a series of lectures, tutorials and laboratory sessions. Students will be expected to purchase the prescribed textbook and use the student access kit to avail of the extensive online supporting material. They will be expected to ulitlise the Simul8 software, complete assigned homework online. They Successful participants will be (i) Knowledgeable about role of simulation modeling in systems design and analysis. (ii) Creative in developing simulation models of basic manufacturing, logistics and service systems (iii) Collaborative in contributing to the development of a simulation poroject. (iv) Articulate in explaining the role of simulation modeling in systems design and analysis.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Law, A. (2006) Simulation modeling and analysis , McGraw-Hill
Concannon, K., Elder, M., Hunter, K., Tremble, J. and Tse, S. (2008) Simulation Modeling with SIMUL8, , Visual Thinking International Ltd

Other Relevant Texts:

Pidd, M. (2010) Tools for Thinking: Modelling in Management Science , Wiley
Robinson, S (2004) Simulation: The Practice of Model Development and Use , Wiley

Programme(s) in which this Module is Offered:

Semester - Year to be First Offered:

Module Leader:

cathal.heavey@ul.ie