Module Code - Title:
IE5002
-
SIMULATION MODELLING IN SUPPLY CHAINS
Year Last Offered:
2024/5
Hours Per Week:
Grading Type:
Prerequisite Modules:
Rationale and Purpose of the Module:
To provide students with knowledge on discrete event simulation modeling and its application to supply chains.
To provide students with modelling and software capabilities to apply simulation to supply chains
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.
Computer simulation packages
Overview of available computer packages, description of representative packages, computer implementation issues. Development of programming skills to apply simulation to supply chains using a generic simulation package. Introduction to a dedicated supply chain 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.
Application of simulation
Development of simulation case study models for supply chain analysis and design.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
On successful completion of this module students will be able to:
Understand discrete event simulation.
Understand the role of simulation modeling in supply chain design and analysis.
Understand the steps in applying simulation.
Be able to develop simulation models of supply chains.
Be able to analysis statistically input data, output data basic experimental design methods used in simulation analysis.
Understand basic queuing theory and its advantages/disadvantages when compared to discrete event simulation.
Affective (Attitudes and Values)
N/A
Psychomotor (Physical Skills)
Use of computers.
How the Module will be Taught and what will be the Learning Experiences of the Students:
The module will be delivered using blended learning methods with assignment work.
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
Law, A. (2006)
Simulation modeling and analysis (4nd edition)
, McGraw-Hill
Concannon, K., Elder, M., Hunter, K., Tremble, J. and Tse, S. (2007)
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(s) Module is Offered:
Module Leader:
Davoud.Hosseinnezhad@ul.ie