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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

  1. Collect process data
  2. Interpret data
  3. Calculate control limits

Range Statement

This field allows for different work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included.

Competitive systems and practices include one or more of:

lean operations

agile operations

preventative and predictive maintenance approaches

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.

Sampling schemes include one or more of:

sampling for attributes or sampling for variables

batch, continuous or custom made products

type of sample

size of sample

number of items/samples

number/type of measurements to be done on each sample

timing of sampling

location of sampling points

sampling equipment

measurement/testing equipment/methods.

Checking, analysing and storing data includes one or more of:

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 charts include one or more of:

run

tally

mean/range

attributes

other relevant charts.

Variations include all of:

random variations for which no cause can be found

non-random variations for which a cause can be found and so the cause of the variation eliminated (also called identifiable cause, assignable cause or special cause)

non-random variations used to predict possible breaches of the control limits.

Limits include one or more of:

control limits (also referred to as process capability) within which the process will operate if it is 'under control'

appropriate limits: 1 sigma warning limits, 2 sigma warning limits, 3 sigma control limits, and 6 sigma limits.

Costs of non-conformance include one or more of:

reprocessing/rework

expediting

unplanned service

excess inventory

complaint handline

downtime

returns

scrap

labour costs

material costs

infrastructure costs/overhead

utility costs.

Procedures (written, verbal, visual, computer based, etc.) include one or any combination of:

work instructions

standard operating procedures (SOPs)

safe work method statements

formulas/recipes

batch sheets

temporary instructions

any similar instructions provided for the smooth running of the process.

Performance Evidence

Evidence required to demonstrate competency in this unit must be relevant to and satisfy all of the requirements of the elements and performance criteria under the specified conditions of assessment and must include on two (2) or more occasions:

gathering, analysing and interpreting process data to support the control of processes and operations

applying specified sampling procedures

investigating the causes of variation in a process

communicating with other employees to obtain samples/data and to explain results and limits

calculating and plotting data and control limits

completing other required documentation.

Knowledge Evidence

Must provide evidence that demonstrates knowledge relevant to their job role sufficient to fulfil their job role independently, including:

purpose of sampling and measurement

sampling methods to be used

methods of calculating means, standard deviations and the like and their purpose in statistical control

concept of limits, including 1, 2, 3 and 6 sigma limits

types of control charts and their applications to different types of process/product and for different purposes

process causes of variation and typical cause types of non-random variation

non-process (e.g. measurement) causes of variation

recognition of stable and unstable processes

causes of stability/instability in the process

calculation of control limits/process capability and the applications of different control limits

the standard distribution curve and confidence limits.