Required skills

Required skills include

determining design parameters performance targets and system variables of plant equipment or process to be simulated including OHS regulatory and risk management requirements

interpreting parameters to the brief or contract

researching latest trends and techniques in

computer simulation models methods for sensitivity estimation and optimisation to ensure reliability validity and robustness of simulation simulation software and programming and validation techniques

reverse engineering

sustainability implications and implications for computer simulation design applications

selecting appropriate simulation model

modelling optimising and analysing model sensitivity

generating and evaluating a range of solutions using appropriate innovation and creativity for feasibility against design criteria

investigating faults in existing designs and arriving at solutions

designing simulated plant

communicating negotiating and reviewing with stakeholders and client throughout process to obtain agreement on proposal and signoff on simulated design

documenting design with files drawings specifications and instructions

Required knowledge

Required knowledge includes

design methods research and investigations methods

techniques for

continuous improvement

problem solving and decision making

root cause analysis RCA or failure mode and effects analysis FMEA or design review based on failure mode DRBFM and Pareto analysis

computer simulation packages

advantages of design simulation such as development time low cost and minimum resources

disadvantages of design simulations such as level of uncertainty and cost of making decisions based on invalid simulations

simulation applications

physical simulation using physical objects as analogues of another reality

interactive simulation or human in the loop simulations eg space experiences flight and driving simulation medical procedure training etc

computer architecture simulation

training simulation

business performance

plant or process design

mathematical models

linear and nonlinear

deterministic and stochastic

steadystate and dynamic

lumped and distributed parameter models

computer simulation types

continuous and discrete

deterministic and stochastic

local or distributed simulations

objectoriented physical modelling OOPM simulation

model variable types

state variables constants and random variables

inputs outputs and decisions variables

sensitivity estimation and optimisation

graphical techniques for visual model building

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge range statement and the Assessment Guidelines for the Training Package

Critical aspects for assessment and evidence required to demonstrate competency in this unit

Assessors must be satisfied that the candidate can competently and consistently

interpret design parameters performance targets and system variables of plant equipment or process to be simulated

advise client based on discipline knowledge OHS and regulatory standards

research sustainability implications computer simulation design applications mathematical and computer simulation models methods for sensitivity estimation and optimisation to ensure reliability validity and robustness of simulation simulation software programming and validation techniques

determine OHS regulatory and risk management requirements related to plant

investigate and measure to confirm the parameters for required design

select appropriate simulation model

model optimise and analyse model sensitivity

generate and evaluate a range of solutions using appropriate innovation and creativity for feasibility against design criteria

design simulated plant

communicate negotiate and review with stakeholders and client throughout process to obtain agreement on proposal and signoff on simulated design

document design with files drawings specifications and instructions

Context of and specific resources for assessment

This unit may be assessed on the job off the job or a combination of both on and off the job Where assessment occurs off the job that is the candidate is not in productive work then a simulated working environment must be used where the range of conditions reflects realistic workplace situations The competencies covered by this unit would be demonstrated by an individual working alone or as part of a team

Where applicable reasonable adjustment must be made to work environments and training situations to accommodate ethnicity age gender demographics and disability

Access must be provided to appropriate learning andor assessment support when required Where applicable physical resources should include equipment modified for people with disabilities

Method of assessment

Assessment must satisfy the endorsed Assessment Guidelines of the MEM Metal and Engineering Training Package

Assessment must satisfy the endorsed Assessment Guidelines of the MEM05 Metal and Engineering Training Package.

Assessment methods must confirm consistency and accuracy of performance over time and in a range of workplace relevant contexts together with application of underpinning knowledge

Assessment methods must be by direct observation of tasks and include questioning on underpinning knowledge to ensure its correct interpretation and application

Assessment may be applied under projectrelated conditions real or simulated and require evidence of process

Assessment must confirm a reasonable inference that competency is able not only to be satisfied under the particular circumstance but is able to be transferred to other circumstances

Assessment may be in conjunction with assessment of other units of competency where required

Guidance information for assessment

Assessment processes and techniques must be culturally appropriate and appropriate to the language and literacy capacity of the candidate and the work being performed

Client

Computer simulations

Parameters to the design brief

OHS, regulatory, sustainability and environmental issues

Sustainability

Standards and codes

Sensitivity estimation, optimisation and validation