- MSACMT452A - Apply statistics to processes in manufacturing
Assessor Resource
MSACMT452A
Apply statistics to processes in manufacturing
Assessment tool
Version 1.0
Issue Date: June 2024
In a typical scenario, statistical process control is being used on a process in a manufacturing organisation. Usually this will be to monitor the process and determine when action needs to be taken. The appropriate action will then be taken in accordance with standard procedures.
To do this the person will apply their knowledge of frequency distribution and variation to the data/chart to distinguish between random and non-random variation and their understanding of the process and/or equipment to help interpret those results.
This unit primarily requires the application of skills associated with gathering and analysing data and communicating statistical information to others. This unit also has a strong emphasis on problem solving, initiative and enterprise, planning and organising, and self management to solve problems and manage processes.
This unit covers the knowledge and skills required to apply statistical theory and principles to the analysis and control of processes in manufacturing.
You may want to include more information here about the target group and the purpose of the assessments (eg formative, summative, recognition)
Employability Skills
This unit contains employability skills
Evidence Required
List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.
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 conjunction with the performance criteria, the range statement and the assessment guidelines of the relevant Training Package | ||
Overview of assessment requirements | The competent person will be able to apply statistical theory to a process to interpret and reduce its variation. | |
What critical aspects of evidence is required to demonstrate competency in this unit? | Evidence of the application of statistical theory to a process should be available | |
In what context should assessment occur? | Assessment will need to occur in an organisation implementing statistical process control or by project. | |
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 process capability and/or change management. | |
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 | |
What evidence is required for demonstration of consistent performance? | Generally the application of statistics over a period of time would be required to generate sufficient evidence | |
What are the specific resource requirements for this unit? | Access to an organisation using statistical control. |
Submission Requirements
List each assessment task's title, type (eg project, observation/demonstration, essay, assingnment, checklist) and due date here
Assessment task 1: [title] Due date:
(add new lines for each of the assessment tasks)
Assessment Tasks
Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.
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Required skills: | |
analysis problem solving communication documenting calculations use of statistics | |
Required knowledge: | |
sampling techniques purpose of sampling and measurement random, systematic, stratified sampling relevance, reliability and representativeness of samples/data collected purpose of replication of data for statistical control samples, populations, finite and infinite populations and the differences methods of calculating means, standard deviations and the like and their purpose in statistical control the causes of variation in a process the meaning of broad/ narrow frequency distributions/ range/standard deviations and skewed distributions in process terms 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 (eg 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. |
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. | ||
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 includes all work instructions, standard operating procedures, formulas/ recipes, batch sheets, temporary instructions and similar instructions provided for the smooth running of the plant. They may be written, verbal, computer based or in some other form. For the purposes of this Training Package, ' procedures' also includes good operating practice as may be defined by industry codes of practice (eg Good Manufacturing Practice (GMP), Responsible Care) and government regulations. | |
Handle data | Handle data may include: calculating means, ranges, mean of means, standard deviation (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, or 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 |
Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.
Observation Checklist
Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice | Yes | No | Comments/feedback |
---|---|---|---|
Interpret sampling scheme | |||
Obtain measurements in accordance with standard procedures | |||
Handle data as required. | |||
Plot data on appropriate control chart | |||
Distinguish between random and non-random patterns of results | |||
Identify results outside the control limits | |||
Recognise situations requiring action | |||
Take appropriate action in accordance with standard procedures | |||
Determine cost of non-conformance | |||
Consult relevant stakeholders to determine appropriate limits | |||
Use relevant methods to calculate/revise control limits | |||
Plot limits on control chart | |||
Explain impact of limit to relevant stakeholders |
Forms
Assessment Cover Sheet
MSACMT452A - Apply statistics to processes in manufacturing
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Assessment Record Sheet
MSACMT452A - Apply statistics to processes in manufacturing
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