Unit of competency Outline

Date retreived
23/07/2026 10:35 AM AWST

Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.

Design plant using computer simulations

Design plant using computer simulations

Unit of competency
National Code
MEM234008A
State Code
S8103
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
21/12/2011
State Implementation and Classification
Approved Date
29/08/2014
Field of Education
030703 - Industrial Engineering
Original Release Date
29/08/2014
Nominal Hours
36
Description
This unit of competency covers the use of computer simulations to develop engineering solutions for the design of plant, equipment and manufacturing processes. It includes mathematical models and computer simulation models, sensitivity estimation and optimisation to ensure reliability, validity and robustness of simulations.
Notes
Elements and Performance Criteria
1 Clarify the simulation task and elaborate the specification
  • 1.1 Establish, in consultation with client, required features of the computer simulations
  • 1.2 Determine parameters to the brief or contract
  • 1.3 Determine stakeholders to be consulted in design process
  • 1.4 Assess occupational health and safety (OHS), regulatory, sustainability or environmental issues relevant to design task
  • 1.5 Confirm design brief, including budget and schedule, and provide preliminary advice on feasibility
2 Research and test computer simulation options for a range of applications
  • 2.1 Analyse computer simulations software for reliability, validity and robustness
  • 2.2 Assess process simulation software for applications in commercial plant and processes
  • 2.3 Test computer simulation software with known solutions
  • 2.4 Select the most appropriate simulation option for the application
3 Prepare concept proposal
  • 3.1 computer simulation design
  • 3.2 Complete required modelling, optimisation and sensitivity analysis
  • 3.3 Generate a range of design solutions, if required
  • 3.4 Check feasibility and evaluate solutions against design criteria, standards and codes ensuring conformity to OHS requirements
  • 3.5 Prepare a proposal that includes results of feasibility study, consideration of expert opinion, initial calculations, modelling and the use of judgment and discretion
  • 3.6 Review concept proposal with client to improve outcomes and overcome possible problems
  • 3.7 Negotiate adjustments to brief or contract parameters if required
4 Design plant, equipment or manufacturing process
  • 4.1 Design plant, equipment or process using chosen simulation methods
  • 4.2 Optimise simulation and analyse sensitivity
  • 4.3 Provide documentation, graphics, specifications and instructions
  • 4.4 Consult with client and stakeholders
  • 4.5 Obtain sign-off on design simulation
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.
Client
Client may be:
internal or external to the designer’s organisation
Computer simulations
A computer simulation is a computer programme or network of computers that attempts to simulate an abstract model of a particular system in order to gain insight into the operation of the system or operator characteristics
Typical applications include:
process simulations
performance analysis and optimisation
fault simulations
machine simulations, stress, deflection and heating
environmental modelling
mathematical design modelling
hydraulic system modelling
virtual engineering
Parameters to the design brief
The design brief may include the design of new equipment or fault analysis, rectification or modification to an existing design. Parameters to the design brief may include:
determination of the degree of innovation and creativity expected by the client
design process limits and budgets
product cost limits and budgets
performance specifications
equipment availability, capacities and restrictions
specified administrative, communication and approval procedures
other special features and limits in the design brief
OHS, regulatory, sustainability and environmental issues
OHS, regulatory, sustainability and environmental issues may include:
OHS Acts and regulations
relevant standards
industry codes of practice
risk assessments
registration requirements
safe work practices
minimising ecological and environmental footprint of process, plant and product
maximising economic benefit of process plant and product to the organisation and the community
minimising the negative OHS impact on employees, community and customer
state and territory regulatory requirements
Sustainability
Sustainability is used to mean the entire sustainable performance of the organisation/plant including:
meeting all regulatory requirements
conforming to all industry covenants, protocols and best practice guides
minimising ecological and environmental footprint of process, plant and product
maximising economic benefit of process plant and product to the organisation and the community
minimising the negative OHS impact on employees, community and customer
Standards and codes
Standards and codes refer to all relevant Australian and international standards and codes applicable to a particular design task
Sensitivity estimation, optimisation and validation
Software may be employed for estimation, optimisation and validation.
Sensitivity is a measure of impacts of changes to parameter values and assumptions on the output or conclusions from the model. Sensitivity analysis can be used as a measure of robustness and validity.
Optimisation is the process of adjustment of variables and parameters to fine-tune the output to closer match expected real system outputs.
Validation techniques include:
comparison of traditional solutions for simple design problems with software solutions to the same design problems
review of previously implemented design challenges which were completed using the software
robustness relates to the ability of a simulation model to respond to inputs in a stable manner
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 sign-off 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 and/or 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 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 project-related 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.
Replaced By
State Code National Code Title Type
OEX08 MEM234008 Design plant using computer simulations Unit of competency
State Code National Code Title Type
J482 MEM80112 Graduate Diploma of Engineering Qualification