Module Details

Module Code: MANU7013
Title: Basic Stats & Lean Sigma Tools
Long Title: Basic Statistics and Lean Sigma Tools
NFQ Level: Intermediate
Valid From: Semester 1 - 2014/15 ( September 2014 )
Duration: 1 Semester
Credits: 5
Field of Study: 5400 - Manufacturing Engineering
Module Delivered in: 2 programme(s)
Module Description: This module is primarily aimed at giving students the intermediate mathematical tools required in a Lean Sigma environment. How these tools are used within a lean sigma culture is explained. The module gives a detailed treatment of the appropriate statistical techniques as applied in a modern business environment.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Graphically display and numerically summarise data using the methods of descriptive statistics.
LO2 Calculate measures from data and interupt results
LO3 Choose a set of one or more tools from a set of basic statistical tools, and apply the set to the analysis of optimization problems.
LO4 Conduct, analyse and interpret SIPOC, FMEA, Value Stream Mapping, and other Lean Sigma basic analysis tools.
LO5 Interpret information in relation to approaches to Lean Sigma and distinguish between different approaches to variability reduction and waste elimination.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Process Mapping
The concept of process mapping and brainstorming.
Variation and measurement techniques
Introducing Variation and measurement techniques to identify the as-is process.
Statistical Tools
Cause and effect, FMEA and introduction to statistics are tools used to analyse the data gathered showing the extent of variation within the process we are aiming to improve, Process capability using SPC is demonstrated in a very practical way while ensuring the theory behind the statistics is understood so the techniques can be applied to any situation.
Lean concepts and tools
Background to Lean and the required basic tools. Souces of waste within the production environment. Implementation of 5S. Problem solving techniques. SIPOC & process mappping: flow charts, VSM
Module Content & Assessment
Assessment Breakdown%
Coursework30.00%
End of Module Formal Examination70.00%

Assessments

Coursework
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing Week 4 Learning Outcomes 1,2,3
Assessment Description
In class practical: Control Chart exercise.
Assessment Type Practical/Skills Evaluation % of Total Mark 10
Timing Week 7 Learning Outcomes 4,5
Assessment Description
Process mapping
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 70
Timing End-of-Semester Learning Outcomes 1,2,3,4,5
Assessment Description
End-of-Semester Final Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Class based instruction Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Self directed learning to complement lecture material Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Class based instruction Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Self directed learning to complement lecture material Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Michael Brassard (Editor). The Memory Jogger, [ISBN: 9781879364035].
  • Pascal Dennis; with a foreword by John Shook. (2002), Lean production simplified, Productivity Press, New York, [ISBN: 9781563272622].
This module does not have any article/paper resources
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_BGSCM_8 Bachelor of Business (Honours) in Global Supply Chain Management 2 Elective
CR_ELSGB_7 Certificate in Lean Sigma Green Belt for Service and Operational Productivity Improvement 1 Mandatory