Modification History
Not applicable.
Unit Descriptor
Unit descriptor |
This unit covers the knowledge and skills associated with the design of experiments (DoE). DoE is generally undertaken as part of black belt six sigma' but may also be undertaken independently. |
Application of the Unit
Application of the unit |
In a typical scenario, a technical expert will design and implement experiments aimed at making breakthrough improvements in the process. They will work with other members of the process team in doing this. This unit primarily requires the application of skills associated with problem solving, initiative and enterprise, and planning and organising skills in order to identify, implement and evaluate an experiment. Communication skills associated with gathering, interpreting and documenting information are required. Where this unit forms part of a suite on six sigma then the following will also be relevant:
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Licensing/Regulatory Information
Not applicable.
Pre-Requisites
Prerequisite units |
MSACMT452A |
Apply statistics to processes in manufacturing |
Employability Skills Information
Employability skills |
This unit contains employability skills. |
Elements and Performance Criteria Pre-Content
Elements describe the essential outcomes of a unit of competency. |
Performance Criteria describe the performance needed to demonstrate achievement of the Element. Where bold italicised text is used, further information is detailed in the required skills and knowledge section and the Range Statement. Assessment of performance is to be consistent with the Evidence Guide. |
Elements and Performance Criteria
ELEMENT |
PERFORMANCE CRITERIA |
1. Choose an improvement project |
1.1. Review a process/value stream map 1.2. Identify areas in need of improvement 1.3. Select a process/value stream area for analysis and improvement 1.4. Determine the objective of the experiment in consultation with relevant stakeholders. |
2. Design the experiment. |
2.1. Select appropriate factorial design . 2.2. Estimate signal to noise ratio 2.3. Determine required number of runs and factorial fraction 2.4. Determine resolution 2.5. Design a sequential series of experiments 2.6. Calculate resource requirement for this design 2.7. Determine whether this resource requirements is practical in consultation with relevant stakeholders 2.8. Modify experiment if required to match available resources 2.9. Determine/develop required metrics |
3. Conduct the experiment. |
3.1. Conduct first run of experiment 3.2. Replicate in random order for required number of runs 3.3. Block out known sources of variation 3.4. Conduct other experiences in series 3.5. Record data/have data recorded |
4. Analyse and confirm the experimental results. |
4.1. Identify aliases/confounding of variables/results 4.2. Analyse data using statistics pack or similar 4.3. Interpret analysed data in line with objective(s) 4.4. Identify confidence level of analysed data 4.5. Design experiment to confirm correlations identified 4.6. Conduct confirming experiment 4.7. Analyse data from confirming experiment 4.8. Confirm results (or conduct further experiments) |
Required Skills and Knowledge
REQUIRED SKILLS AND KNOWLEDGE |
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This section describes the skills and knowledge required for this unit. |
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Required skills |
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Required knowledge |
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Evidence Guide
EVIDENCE GUIDE |
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The Evidence Guide describes the underpinning knowledge and skills that must be demonstrated to prove competence. it is essential for assessment and must be read in conjunction with the performance criteria, the range statement and the assessment guidelines of the relevant training package. |
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Overview of assessment requirements |
Assessment should confirm that the person can undertake DoE projects in a work situation. |
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What are the specific resource requirements for this unit ? |
Access to an organisation using design of experiment or access to an organisation where DoE could be conducted. |
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In what context should assessment occur ? |
Assessment will need to occur in an organisation implementing DoE or through project based assessment. |
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Are there any other units which could or should be assessed with this unit or which relate directly to this unit ? |
This unit could be assessed concurrently with other units dealing with six sigma type work and/or change management. These are:
The prerequisite unit MCMT452A Apply statistics to processes in manufacturingshould where possible be assessed concurrently with this unit |
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What method of assessment should apply ? |
Assessors must be satisfied that the person can consistently perform the unit as a whole, as defined by the Elements, Performance Criteria, skills and knowledge. A holistic approach should be taken to the assessment. Assessors should gather sufficient, fair, valid, reliable, authentic and current evidence from a range of sources. Sources of evidence may include direct observation, reports from supervisors, peers and colleagues, project work, samples, organisation records and questioning. Assessment should not require language, literacy or numeracy skills beyond those required for the unit. The assessee will have access to all techniques, procedures, information, resources and aids which would normally be available in the workplace. The method of assessment should be discussed and agreed with the assessee prior to the commencement of the assessment. |
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What evidence is required for demonstration of consistent performance ? |
Generally one significant DoE project should generate sufficient evidence. |
Range Statement
RANGE STATEMENT |
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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. |
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Objective of the experiment |
Purpose may include:
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Factorial design |
Factorial design may include:
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Signal to noise ratio |
Signal to noise ratio may be estimated from:
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Resolution |
Resolution is typically:
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Sequential series of experiments |
A typical series of experiments consists of:
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Required metrics |
Required metrics may include:
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Statistics pack |
Typical statistics packs include:
Many statistical packages are suitable. It is desirable that they include residual analysis capability. |
Unit Sector(s)
Unit Sector |
CM Tools |
Co-requisite units
Co-requisite units |
Functional area
Functional Area |