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Unit of competency details

FBPOPR4001 - Apply principles of statistical process control (Release 1)

Summary

Usage recommendation:
Current
Mapping:
MappingNotesDate
Supersedes and is equivalent to FDFOP2015A - Apply principles of statistical process controlUpdated to meet Standards for Training Packages Unit code updated to reflect AQF level Minor changes to Performance Criteria to clarify intent. Prerequisite removed. 17/Dec/2018

Release Status:
Current
Releases:
ReleaseRelease date
1 1 (this release) 18/Dec/2018


Training packages that include this unit

Qualifications that include this unit

CodeSort Table listing Qualifications that include this unit by the Code columnTitleSort Table listing Qualifications that include this unit by the Title columnUsage RecommendationRelease
AMP20117 - Certificate II in Meat Processing (Food Services)Certificate II in Meat Processing (Food Services)Current2-5 
FBP30121 - Certificate III in Food ProcessingCertificate III in Food ProcessingCurrent
FBP30721 - Certificate III in Rice ProcessingCertificate III in Rice ProcessingCurrent
FBP40321 - Certificate IV in Food ProcessingCertificate IV in Food ProcessingCurrent
FBP40318 - Certificate IV in Food ProcessingCertificate IV in Food ProcessingSuperseded
FBP40421 - Certificate IV in Food Science and TechnologyCertificate IV in Food Science and TechnologyCurrent
FBP40418 - Certificate IV in Food Science and TechnologyCertificate IV in Food Science and TechnologySuperseded1-2 
AMP40222 - Certificate IV in Meat ProcessingCertificate IV in Meat ProcessingCurrent
AHC42320 - Certificate IV in Medicinal Cannabis Cultivation and ProductionCertificate IV in Medicinal Cannabis Cultivation and ProductionCurrent
FBP40518 - Certificate IV in Pharmaceutical ManufacturingCertificate IV in Pharmaceutical ManufacturingSuperseded
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Classifications

SchemeCodeClassification value
ASCED Module/Unit of Competency Field of Education Identifier 010103 Statistics  

Classification history

SchemeCodeClassification valueStart dateEnd date
ASCED Module/Unit of Competency Field of Education Identifier 010103 Statistics  18/Dec/2018 
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Unit of competency

Modification History

Release 

Comments 

Release 1

This version released with the FBP Food, Beverage and Pharmaceutical Training Package Version 2.0.

Application

This unit of competency describes the skills and knowledge required to collect statistical information and interpret data in order to inform work processes.

This unit applies to individuals who are required to collect, interpret and record data to inform work. This typically includes plotting data on run charts and statistical process control (SPC) charts; and identifying trends and variations according to given limits.

No occupational licensing, legislative or certification requirements apply to this unit at the time of publication. 

Pre-requisite Unit

Nil

Unit Sector

Operational (OPR)

Elements and Performance Criteria

Elements 

Performance Criteria 

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Collect statistical information

1.1 Identify data collection requirements and confirm with supervisor

1.2 Gather data using available collection equipment

1.3 Accurately record data to meet data collection requirements

2. Interpret data

2.1 Analyse data to identify variations and trends

2.2 Carry out calculations to determine unknown values

2.3 Determine corrective action requirements based on data

2.4 Document and store data according to workplace requirements

Foundation Skills

This section describes those language, literacy, numeracy and employment skills that are essential for performance in this unit of competency but are not explicit in the performance criteria.

Skill 

Description 

Numeracy

  • Use statistical analysis techniques to calculate, compare and manipulate data

Writing

  • Record data and present information in required format

Get the work done

  • Make decisions based on analysis of available data
  • Use manual and computer-based methods to interpret data and identify trends

Unit Mapping Information

Code and title current version 

Code and title previous version 

Comments 

Equivalence status 

FBPOPR4001 Apply principles of statistical process control

FDFOP2015A Apply principles of statistical process control

Updated to meet Standards for Training Packages

Unit code updated to reflect AQF level

Minor changes to Performance Criteria to clarify intent.

Prerequisite removed.

Equivalent unit

Links

Companion Volume Implementation Guides are found in VETNet: - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=78b15323-cd38-483e-aad7-1159b570a5c4

 

Assessment requirements

Modification History

Release 

Comments 

Release 1

This version released with the FBP Food, Beverage and Pharmaceutical Training Package Version 2.0.

Performance Evidence

An individual demonstrating competency in this unit must satisfy all of the elements and performance criteria of this unit.

There must be evidence that the individual has applied the principles of statistical process control to at least two different sets of data, including:

  • identifying data needed for collection
  • gathering and accurately recording required data
  • applying statistical analysis techniques and identifying variations, trends and any necessary corrective actions
  • presenting a range of statistical data in appropriate workplace format.

Knowledge Evidence

An individual must be able to demonstrate the knowledge required to perform the tasks outlined in the elements and performance criteria of this unit. This includes knowledge of:

  • data sampling methods, including the nature of the sample on which data is based, and the reasons for different sampling requirements that may apply in a given situation
  • concept of variation, including the difference between common and special causes of variation, and consequent options for reducing variation and remaining within a given range
  • the purpose and process of establishing targets and limits
  • the concept of standard distribution/standard deviation
  • methods used to interpret statistical data, including methods to determine the average, median and mean, and what these measures indicate
  • a variety of calculations to determine unknown values
  • using binomial theorem
  • using variability and probability to estimate and interpret outcomes in both numerical and qualitative terms
  • situations in which corrective action is required.

Assessment Conditions

Assessment of skills must take place under the following conditions:

  • physical conditions:
  • skills must be demonstrated in a workplace setting or an environment that accurately represents a real workplace
  • resources, equipment and materials:
  • statistical process control data
  • related data collection and analysis systems
  • calculator.

Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.

Links

Companion Volume Implementation Guides are found in VETNet: - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=78b15323-cd38-483e-aad7-1159b570a5c4