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Babcock Training Academy

We deliver world-class training in complex systems to AUS/NZ defence, government and high tech markets

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Babcock Training Academy
Level 10 70 Franklin Street Adelaide  SA  5000

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Introduction to Discrete-Event Simulation Modelling and Analysis

Course Description

Discrete-event simulation presented by Professor Allen Greenwood is a powerful tool that helps engineers, planners, and managers make intelligent and timely decisions in the design and operation of any type of operations or logistics system. It provides a means to effectively deal with the complex dependencies and variability that characterize most production systems and to gain valuable insight into the behaviour of dynamic, stochastic systems. Simulation modelling and analysis (SMA) allows organizations to greatly expand their decision space by providing effective means to rapidly experiment with new approaches and policies. The objective of this three-day short course is to provide participants with the knowledge necessary to develop and analyse simple, yet effective, simulation models and to be able to effectively participate and partner with SMA experts in support of more advanced projects. Flexsim simulation software will be used throughout the course to illustrate concepts and develop example models. Flexsim is the instructor’s software of choice.

Please bring your laptop.

Target Audience

Engineers, researchers, managers and decision makers involved in Defence, manufacturing, aerospace, logistics, telecommunications, health care and business processes.

Course Outline

Fundamentals of simulation modelling and analysis: discussion of systems versus models, types of problems typically addressed by simulation, types of simulation models, the notion of states and state changes, logic structures, statistical sampling (including an example using Monte Carlo simulation), and general process of simulation.
Simulation Modelling and Analysis Process I: definition and role of stakeholders, definition of objectives and performance measures, development of conceptual models.
DES Model Construction I: introduction to the model development environment (Flexsim), basic discrete modelling elements (objects, flowitems/entities, ports, routing, …), construction of a simple model.
DES Model Construction II: generation and interpretation of basic model output, understanding the underlying tree structure and its uses.
Output Analysis I: discussion of issues regarding the types of systems (terminating versus non-terminating) being studied, corresponding types analyses (transient versus steady-state), and types of techniques to use.
Inside DES Software: a peek at the basic operations that drive DES, e.g. event generation and handling, generating random numbers and variates.
DES Model Construction III: object relationships and communications (messaging), event triggers, coding to enhance model behaviour, input and output tables.
Modelling Randomness: definition, analysis and specification of the random variables that are the inputs to the model and drive the simulation.
DES Model Construction IV: alternative arrival modes, time tables, modelling downtimes, additional coding to customize objects and logic.
Output Analysis II: designing, conducting, and analyzing experiments using simulation models; running and analyzing alternative scenarios.
Continuous and Hybrid Simulation Models: introduction to modelling objects with continuous state changes (e.g. fluids); integrating discrete-event and continuous simulation components.
Simulation Modelling and Analysis Process II: verification, validation, and implementation; introduction to decision support systems.

Course Details

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Please register your interest in this course by contacting Babcock on +61 (0)8 8440 1498

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