Elements and Performance Criteria

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.
Competitive systems and practices

Competitive systems and practices may include, but are not limited to:
lean operations
agile operations
preventative and predictive maintenance approaches
monitoring and data gathering systems, such as Systems Control and Data Acquisition (SCADA) software, Enterprise Resource Planning (ERP) systems, Materials Resource Planning (MRP) and proprietary systems
statistical process control systems, including six sigma and three sigma
Just in Time (JIT), kanban and other pull-related operations control systems
supply, value, and demand chain monitoring and analysis
5S
continuous improvement (kaizen)
breakthrough improvement (kaizen blitz)
cause/effect diagrams
overall equipment effectiveness (OEE)
takt time
process mapping
problem solving
run charts
standard procedures
current reality tree
Competitive systems and practices should be interpreted so as to take into account:
the stage of implementation of competitive systems and practices
the size of the enterprise
the work organisation, culture, regulatory environment and the industry sector
Sampling scheme
Sampling scheme may include:
sampling for attributes or sampling for variables
batch, continuous or custom made products
number of items/samples
size of sample
timing of sampling
location of sampling points
type of sample
number/type of measurements to be done on each sample
sampling equipment
measurement/testing equipment/methods
Procedures
Procedures may include:
work instructions
standard operating procedures
formulas/ recipes
batch sheets
temporary instructions and similar instructions provided for the smooth running of the plant
good operating practice as may be defined by industry codes of practice (e.g. good manufacturing practice (GMP) and responsible care)
government regulations
Procedures may be:
written, verbal, computer-based or in some other format
Handle data
Handle data may include:
calculating means, ranges, mean of means and standard deviations (using appropriate calculation aids)
entering data into a software package
recording data either in writing or electronically
other required manipulations of the data
Control chart
Control charts may include:
run
tally
mean/range
attributes
other relevant charts
Random
Random variation is the term used in statistical control to refer to those variations for which no cause can be found
Non-random
Non-random (also called identifiable cause, assignable cause or special cause) are those variations for which a cause can be found and so the cause of the variation eliminated. Non-random variation may also be used to predict possible breaches of the control limits
Control limits
Control limits (also referred to as process capability) are those limits within which the process will operate if it is 'under control'
Cost of non-conformance
Cost of non-conformance includes:
reprocessing/rework
expediting
unplanned service
excess inventory
complaint handline
downtime
returns
scrap
labour costs
material costs
infrastructure costs/overhead
utility costs
Appropriate limits
Appropriate limits may include:
1 sigma warning limits
2 sigma warning limits
3 sigma control limits
6 sigma limits

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
A person who demonstrates competency in this unit must be able to provide evidence of the ability to:
follow sampling procedures
apply basic statistical processes
analyse data to identify variations and non-conformances
plot or document results.
Context of and specific resources for assessment
Assessment of performance must be undertaken in a workplace using or implementing one or more competitive systems and practices.
Access may be required to:
workplace procedures and plans relevant to work area
specifications and documentation relating to planned, currently being implemented, or implemented changes to work processes and procedures relevant to the assessee
documentation and information in relation to production, waste, overheads and hazard control/management
reports from supervisors/managers
case studies and scenarios to assess responses to contingencies.
Method of assessment
A holistic approach should be taken to the assessment.
Competence in this unit may be assessed by using a combination of the following to generate evidence:
demonstration in the workplace
workplace projects
suitable simulation
case studies/scenarios (particularly for assessment of contingencies, improvement scenarios, and so on)
targeted questioning
reports from supervisors, peers and colleagues (third-party reports)
portfolio of evidence.
In all cases it is expected that practical assessment will be combined with targeted questioning to assess underpinning knowledge.
Where applicable, reasonable adjustment must be made to work environments and training situations to accommodate ethnicity, age, gender, demographics and disability.
Guidance information for assessment
Assessment processes and techniques must be culturally appropriate and appropriate to the oracy, language and literacy capacity of the candidate and the work being performed.