Fundamentals of Simulation Modelling and Analysis
An introduction to systems modelling and analysis using AnyLogic
Enrol
3 days
In-person
Canberra
$3,135.00
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Overview
Simulation modelling is a prevailing technique to analyse complex systems and enables decision-makers to set up “what-if” questions about the effects of alternative pre-specified decisions on the system's performance.
This 3-days course for anyone who wants to start learning simulation modelling. The course will start from the very basics and gradually teach you the concepts of Discrete Event Simulation as well as Monte Carlo simulation modelling techniques. You will learn how to implement these techniques in the AnyLogic software environment, which will provide you with hands-on expertise and reinforce your simulation model development skills.
With the successful completion of the course, you will have the skill set to build simulation models and analyse the outputs produced by these models, which would help you in making better and more informed decisions.
Course content
In this course you will cover the topics of:
Introduction to Simulation and AnyLogic GUI
Java basics for AnyLogic
Monte-Carlo and Discrete Event Simulation Modelling in AnyLogic
Enhancing simulation models with Animation in AnyLogic
Statistical simulation input and output analysis
Simulation-based optimization
Dashboard development and interaction with data in external environments
Hands-on practices with cases from healthcare, inventory control, project management, and call-centers
Learning outcomes
On completion of this course, you will be able to:
Build different kinds of simulation models for wide range of applications
Analyse simulation inputs and outputs
Identify and measure the risk via simulation models
Develop interactive state-of-art simulation dashboards
Design and conduct simulation-based optimization experiments
Who should attend
This is an introductory course for anyone interested in simulation modelling techniques using AnyLogic software. It is perfect for industry professionals seeking to gain a baseline understanding of the use of simulation models related to decision-making problems. The content in this course can be applied to address a wide range of problems ranging from Logistics to Health Care and more.
Prerequisites:
It is recommended that attendees have some familiarity with statistical methods before completing this course.
Facilitator
Dr Hasan Turan
Dr. Hasan TURAN is a Lecturer at the University of New South Wales, Canberra, and the Research Lead at the Capability Systems Centre. He is an expert on the development of data-driven solution methods and their application to complex decision-making problems arising in different domains.
Dr. Turan has been involved in several large-scale simulation projects funded by the Department of Defence. He has been teaching undergraduate and graduate-level simulation courses and organizing simulation-related special sessions at various leading national and international scientific conferences.
Cancellation policy
Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.