SAQA All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.
SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED UNIT STANDARD: 

Perform statistical process control 
SAQA US ID UNIT STANDARD TITLE
13194  Perform statistical process control 
ORIGINATOR ORIGINATING PROVIDER
SGB Manufacturing and Assembly Processes   
QUALITY ASSURING BODY
-  
FIELD SUBFIELD
Field 06 - Manufacturing, Engineering and Technology Manufacturing and Assembly 
ABET BAND UNIT STANDARD TYPE PRE-2009 NQF LEVEL NQF LEVEL CREDITS
Undefined  Regular  Level 4  NQF Level 04  12 
REGISTRATION STATUS REGISTRATION START DATE REGISTRATION END DATE SAQA DECISION NUMBER
Reregistered  2012-07-01  2015-06-30  SAQA 0695/12 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2016-06-30   2019-06-30  

In all of the tables in this document, both the pre-2009 NQF Level and the NQF Level is shown. In the text (purpose statements, qualification rules, etc), any references to NQF Levels are to the pre-2009 levels unless specifically stated otherwise.  

This unit standard does not replace any other unit standard and is not replaced by any other unit standard. 

PURPOSE OF THE UNIT STANDARD 
Learners who are involved in performing statistical process control in the field of industrial rubber manufacturing require the skills, values and knowledge reflected in this unit standard.

Qualifying learners will understand the need for accurate process data, graphically plotting process data and how this is achieved. This will include comparing process data with process limits and identifying trends.

The learning outcomes in this unit standard also contribute to the exit level outcomes required for the National Certificate in Industrial Rubber Manufacturing (Mixing, Extruding, Moulding or Calendaring) (NQF level 4) and related qualifications. 

LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
This unit standard has been designed as part of a progression. It is one of a series of unit standards for producing product in an industrial rubber manufacturing skills setting. 

UNIT STANDARD RANGE 
The ranges as indicated under the specific outcomes determine the scope and level of this unit standard.

The learner should be able to work with minimal supervision and according to worksite and manufacturer specifications and occupational safety, health and environmental legislation.

Work is generally, but not exclusively, carried out in a team environment. 

Specific Outcomes and Assessment Criteria: 

SPECIFIC OUTCOME 1 
Plan and prepare for performing statistical process control. 
OUTCOME RANGE 
Planning and preparing includes collecting process data, applicable material, product and process standards, schedules, determining job requirements and sequencing activities. 

ASSESSMENT CRITERIA
 

ASSESSMENT CRITERION 1 
Results achieved

1. Process data is collated
2. Process data is compared against process limits
3. Process trends are identified and recommendations made
4. Implementation of recommendations is evaluated
5. Records are completed and processed, and reports are made

Indicators

1. Applicable statistical process control techniques are identified, selected and utilised
2. Accurate and frequent measurements and observations are made
3. Applicable process data is collated in a timely manner
4. Process data is accurately plotted in accordance with worksite procedures
5. Applicable material, product and process standards are identified, selected and utilised
6. Data segregation is continuously maintained
7. Actual results are compared to accepted standards, control and action limits

Understanding confirmed

1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task. 

  • SPECIFIC OUTCOME 2 
    Measure process parameters and collate process data. 
    OUTCOME RANGE 
    Process data includes recorded values and observations. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 3 
    Plot statistical process control charts. 
    OUTCOME RANGE 
    Statistical process control charts include manual and electronic types. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 4 
    Compare process data against process limits and identify trends. 
    OUTCOME RANGE 
    Process limits include control and action limits. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 5 
    Consider possible process corrections and make recommendations. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 6 
    Identify problems and take corrective action. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 7 
    Apply quality checks on completed work. 
    OUTCOME RANGE 
    Quality checks include rechecking data captured and plotted charts. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 8 
    Complete and process applicable documentation. 
    OUTCOME RANGE 
    Documentation includes statistical process charts and corrective action reports. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 9 
    Evaluate implementation of recommendations made. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 

  • SPECIFIC OUTCOME 10 
    Discuss and explain incidents and problems relating to statistical process control. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Results achieved

    1. Process data is collated
    2. Process data is compared against process limits
    3. Process trends are identified and recommendations made
    4. Implementation of recommendations is evaluated
    5. Records are completed and processed, and reports are made

    Indicators

    1. Applicable statistical process control techniques are identified, selected and utilised
    2. Accurate and frequent measurements and observations are made
    3. Applicable process data is collated in a timely manner
    4. Process data is accurately plotted in accordance with worksite procedures
    5. Applicable material, product and process standards are identified, selected and utilised
    6. Data segregation is continuously maintained
    7. Actual results are compared to accepted standards, control and action limits

    Understanding confirmed

    1. Respond to `what if` and `why` questions related to:
  • Selection of statistical process control techniques
  • Selection of statistical process control method
  • Selecting correct material, product and process standards
  • Determining process trends
  • Recording process correction recommendations
  • Implications of delays for the production process
  • Implications of not adhering to sequence of activities and operations as described in the specific outcomes and making decisions inappropriate to the task 


  • UNIT STANDARD ACCREDITATION AND MODERATION OPTIONS 
    My assessment will be governed by the policies and guidelines of the MERSETA Education and Training Quality Assuror who has jurisdiction over this field of learning. My assessor will be accredited and have a technical qualification in this learning area.

    I can be assessed in the language of my choice although if I have to report incidents or conditions to someone else, I will be assessed on my ability to report in the language commonly used in my working environment.

    I will be assessed in the workplace but I can submit documents, projects, test results and assignments that were not produced in the workplace.

    I can be assessed against this unit standard to obtain credits or as part of an integrated assessment for a qualification. 

    UNIT STANDARD ESSENTIAL EMBEDDED KNOWLEDGE 
    1. Names & functions of:
  • Statistical process control techniques and methodology

    2. Purpose of:
  • Performing statistical process control
  • Collating material, product and process data

    3. Attributes, descriptions, characteristics & properties:
  • Range of statistical process control techniques and methodologies

    4. Sensory cues:
  • Sensory cues (what I see, hear, smell, feel) utilised for identifying problems during performing statistical process control

    5. Processes and events, cause and effect, implications:
  • Of not performing statistical process control
  • Implication of performing process control on product quality

    6. Procedures and techniques:
  • Process control techniques
  • Process control methodologies
  • Collating material, product and process data
  • Plotting process control charts
  • Comparing data against process limits
  • Identifying process trends

    7. Regulations, legislation, agreements, policies, standards:
  • Applicable safety, health and environmental protection legislation
  • Applicable company policies and procedures
  • Quality standards and specifications

    8. Theory: rules, principles, laws:
  • Statistical process control
  • Applicable mathematical and statistical principles

    9. Relationships, systems:
  • Impact of product quality on customer relations 

  • UNIT STANDARD DEVELOPMENTAL OUTCOME 
    N/A 

    UNIT STANDARD LINKAGES 
    N/A 


    Critical Cross-field Outcomes (CCFO): 

    UNIT STANDARD CCFO IDENTIFYING 
    Identify and solve problems:
  • Related to performing statistical process control 

  • UNIT STANDARD CCFO WORKING 
    Work effectively with others:
  • Interact with colleagues and team members in order to collate material, product and process data 

  • UNIT STANDARD CCFO ORGANISING 
    Organise and manage myself and my activities:
  • Apply the correct procedures and techniques for performing statistical process control
  • Manage resources and my time 

  • UNIT STANDARD CCFO COLLECTING 
    Collect, analyse, organise and critically evaluate information:
  • Identify and interpret data trends
  • Make recommendation based on that information 

  • UNIT STANDARD CCFO COMMUNICATING 
    Communicate effectively:
  • Recommended process corrections to relevant parties 

  • UNIT STANDARD CCFO SCIENCE 
    Use science and technology effectively and critically:
  • Use statistical process control techniques to monitor product quality 

  • UNIT STANDARD CCFO DEMONSTRATING 
    Demonstrate an understanding of the world as a set of related systems:
  • Understand and explain the purpose of statistical process control in the production process
  • Relate the role of the process team to the broader manufacturing process
  • Justify my actions as appropriate 

  • QUALIFICATIONS UTILISING THIS UNIT STANDARD: 
      ID QUALIFICATION TITLE PRE-2009 NQF LEVEL NQF LEVEL STATUS END DATE QUALITY ASSURING BODY
    Core  57885   Further Education and Training Certificate: CNC Production Machining  Level 4  NQF Level 04  Reregistered  2015-06-30  MERSETA 
    Core  49403   Further Education and Training Certificate: Steel Tube and Pipe Manufacturing (Seamless Hot-Finished OR Welded OR Cold-Formed)  Level 4  NQF Level 04  Passed the End Date -
    Status was "Reregistered" 
    2012-06-30  MERSETA 
    Core  48796   National Certificate: Quality Assurance of Tyre Manufacturing Processes  Level 4  Level TBA: Pre-2009 was L4  Reregistered  2015-06-30  MERSETA 
    Core  48799   National Certificate: Tyre and Tyre Component Manufacturing  Level 4  Level TBA: Pre-2009 was L4  Reregistered  2015-06-30  MERSETA 
    Elective  66489   Further Education and Training Certificate: Foundry Operations  Level 4  NQF Level 04  Reregistered  2015-06-30  MERSETA 
    Elective  58779   Further Education and Training Certificate: Production Technology  Level 4  NQF Level 04  Reregistered  2015-06-30  MERSETA 
    Elective  23259   National Certificate: Industrial Rubber Manufacturing: Mixing OR Extruding OR Moulding OR Calendaring  Level 4  Level TBA: Pre-2009 was L4  Reregistered  2015-06-30  MERSETA 


    PROVIDERS CURRENTLY ACCREDITED TO OFFER THIS UNIT STANDARD: 
    This information shows the current accreditations (i.e. those not past their accreditation end dates), and is the most complete record available to SAQA as of today. Some Quality Assuring Bodies have a lag in their recording systems for provider accreditation, in turn leading to a lag in notifying SAQA of all the providers that they have accredited to offer qualifications and unit standards, as well as any extensions to accreditation end dates. The relevant Quality Assuring Body should be notified if a record appears to be missing from here.
     
    1. Coastal Kzn F.E.T. College - Central Office 
    2. College of Production Technology 
    3. Continental Tyres SA (Pty) Ltd (NEW BRIGHTON) (TP) 
    4. MacSteel Services Centres SA (WADEVILLE) (TP) 
    5. Maritzburg Engineering cc (MKONDENI) (TP) 
    6. Northlink College - Goodwood Campus 
    7. Production Management Institute of Southern Africa (PMI) 
    8. QTE Training & Consulting cc T/A QTE (GERMISTON) (TP) 
    9. Scaw Metals Group (Pty) Ltd T/A Scaw Metals (DINWIDDIE) (TP) 
    10. Step Across Training (BRITS) (TP) 
    11. Toyota Academy Toyota SA Motors (Pty) Ltd (ISIPINGO) (TP) 



    All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.