Course Title: Apply statistics to processes in manufacturing

Part B: Course Detail

Teaching Period: Term1 2009

Course Code: MATH5307C

Course Title: Apply statistics to processes in manufacturing

School: 350T Fashion & Textiles

Campus: Brunswick Campus

Program: C5210 - Diploma of Textile Technology and Production Management

Course Contact : Rafael Beltran

Course Contact Phone: +61 3 9925 9197

Course Contact Email:rafael.beltran@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Nominal Hours: 40

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

This course covers the knowledge and skills required to apply statistical theory and principles to the analysis and control of processes in the manufacturer of textile products.

Course Description

This course covers the knowledge and skills required to apply statistical theory and principles to the analysis and control of processes in the manufacturer of textile products.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

MCMT452A Apply statistics to processes in manufacturing

Element:

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

Performance Criteria:

1.1 Interpret sampling scheme
1.2 Obtain measurements in accordance with standard procedures
1.3 Handle data as required.
2.1 Plot data on appropriate control chart
2.2 Distinguish between random and non-random patterns of results
2.3 Identify results outside the control limits
2.4 Recognise situations requiring action
2.5 Take appropriate action in accordance with standard procedures
2.6 Determine cost of non-conformance
3.1 Consult relevant stakeholders to determine appropriate


Learning Outcomes



Details of Learning Activities

Blended learning consisting of classroom activities and practical workshops.


Teaching Schedule

Week Beginning Session - TopicElement
Performance Criteria
Assessment Tasks
9 February 09 Data analysis, data handling, frequency distribution1.3, 2 (MCMT452A) 
16 February 09 Statistical process control tools, check sheet, Root cause analysis2.4, 2.5 (MCMT452A) 
23 February 09 Pareto analysis, Box plot, practical trial of pareto2.4, 2.5 (MCMT452A)1. Quiz -1 (Covered Element of MCMT452A - 1.3, 2, 2.4, 2.5)
2 March 09 Control limits, control charts for variables3, 3.1, 2.1, 2.2 (MCMT452A)2. Case Study and Practical example for Pareto -1 (Covered Element of MCMT452A - 2.4, 2.5)
9 March 09 Control charts for attributes, Run chart2.1, 2.3 (MCMT452A) 
16 March 09 Sampling scheme, different types of sampling1.1 (MCMT452A)3. In class Activity (Covered Element of MCMT452A - 2.1, 2.3)
23 March 09 AQL and determination of sampling size1.1 (MCMT452A)4. Case Study – 2 (Covered Element of MCMT452A - 1.1)
30 March 09 Cost of non-conformance2.6 (MCMT452A) 
6 April 09Easter Holidays  
13 April 09Easter Holidays  
20 April 09Quick Revision of MCMT430A 5. Quiz – 2 (Covered Element of MCMT452A - Whole syllabus)
27 April 09Cost Components1.1 (MCMT430A) 
4 May 09 Cost analysis, constraints to cost, cost variables, cost benefit analysis1.2, 1.3, 1.4 (MCMT430A)6. Quiz – 3 (Covered Element of MCMT430A - 1.1, 1.2, 1.3, 1.4)
11 May 09 Stakeholder analysis, Internal / external customer2.3, 2.5 (MCMT430A) 
18 May 09 Lean manufacturing, JIT2.1, 2.4 (MCMT430A)7. Game, Observation, Discussion and quiz (Covered Element of MCMT430A - 2.1, 2.4)
25 May 09 Kaizen2.1, 2.4 (MCMT430A) 
1 June 09 5S2.1, 2.4 (MCMT430A)8. Work place activity, observation and quiz (Covered Element of MCMT430A - 2.1, 2.4)
8 June 09 Total quality awareness, TPM, 6 sigma2.2 (MCMT430A)9. Quiz – 4 (Covered Element of MCMT430A - Whole syllabus)
15 June 09 Quick revision and any Queries  
22 June 09 Assessment Week  


Learning Resources

Prescribed Texts


References


Other Resources


Overview of Assessment

Students will study statistics in manufacturing, in tutorials, prescribed exercises and assessment work.


Assessment Tasks

Assessment No 1 Quiz 20%
Assessment No 2 Case study and practical example 15%
Assessment No 3 In class activity 15%
Assessment No 4 Case Study 20%
Assessment No 5 Test 30%


Assessment Matrix

Element Quiz Case StudyIn class Activity Game / Observation Work place activity / Observation
1. MCMT452A / Collect Process Data Yes----
2. MCMT452A / Interpret data YesYesYes--
3. MCMT452A / Calculate Control Limits Yes----

Other Information

Teaching Schedule: (Cluster units) This unit is taught as part of a cluster which includes – MCMT430A

This guideline maybe subject to change without notice.

Course Overview: Access Course Overview