Course Title: Quality Management

Part A: Course Overview

Course Title: Quality Management

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MANU1419

Bundoora Campus

Undergraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

Sem 1 2006,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2016

MANU1419

Bundoora Campus

Undergraduate

172H School of Engineering

Face-to-Face

Sem 1 2017

Course Coordinator: Dr Shoujin Sun

Course Coordinator Phone: +61 3 9925 6038

Course Coordinator Email: shoujin.sun@rmit.edu.au

Course Coordinator Location: 57.03.15


Pre-requisite Courses and Assumed Knowledge and Capabilities

MANU2095 Manufacturing Systems


Course Description

This course will offer comprehensive skills in Quality Management that enable you to understand basic principles of quality, standardisation and continuous improvement. It introduces you to the concepts of variation and the methods used in manufacturing and service organisations to achieve consistently high quality. The topics include basic concepts of quality planning and assurance, Statistical Process Control, Design of Experiments, Quality Standards and Six Sigma quality control methodologies.


Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level.

This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information. (http://www1.rmit.edu.au/browse;ID=eyj5c0mo77631)


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes

1 Knowledge and Skill Base
1.1. Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.

2 Engineering Application Ability
2.1. Application of established engineering methods to complex engineering problem solving.
2.3. Application of systematic engineering synthesis and design processes.

3 Professional and Personal Attributes
3.2. Effective oral and written communication in professional and lay domains.
3.4. Professional use and management of information.
3.5. Orderly management of self and professional conduct.
3.6. Effective team membership and team leadership.


Course Learning Outcomes (CLOs)

On completion of this course you should be able to:

  1. Apply commonly used quality control methods to various industries
  2. Apply ’Six Sigma’ tools to improve the competitiveness of enterprises
  3. Interpret international quality standards in an industry context
  4. Develop strategies to implement and effectively manage quality related functions in industry


Overview of Learning Activities

The course is based on lectures, tutorials and self-directed learning on assignments and exercises. In-class discussion and practical lab sessions in the Computer Laboratory may be arranged as well.


Overview of Learning Resources

The learning resources including lecture notes, tutorial notes, reading materials, journal articles and a list of reference books will be provided on Blackboard. You can access these learning resources through myRMIT. You will also use equipment and software packages in the computer laboratory.


Overview of Assessment

X This course has no hurdle requirements.

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment tasks

Laboratory report
Weighting 30%
This assessment task supports CLOs 1, 2, 3

Team project/presentation
Weighting 20%
This assessment task supports CLOs 1, 2, 3, 4

Final exam
Weighting 50%
This assessment task supports CLOs 1, 2, 3, 4