Course Title: Maintenance and Logistics Services

Part A: Course Overview

Course Title: Maintenance and Logistics Services

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2014,
Sem 2 2015


City Campus


172H School of Engineering


Sem 2 2017

Course Coordinator: Dr Arun Kumar

Course Coordinator Phone: +61 3 9925 4328

Course Coordinator Email:

Course Coordinator Location: 057.03.020

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

MIET2385 Systems Engineering Principles, or equivalent

Course Description

In this course you will develop an in-depth understanding of the effect of different maintenance strategies including scheduled maintenance, preventive maintenance, and Total Productive Maintenance (TPM) on performance of logistics systems. You will study system diagnostics techniques, statistical process control, signal diagnostics, decision support systems modelling, simulation, testing, correlation, and validation..

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.(;ID=eyj5c0mo77631 )

Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes

This course contributes to the development of 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

1.2.         Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline

1.3.         In-depth understanding of specialist bodies of knowledge within the engineering discipline

1.4.         Discernment of knowledge development and research directions within the engineering discipline

2              Engineering Application Ability

2.1.         Application of established engineering methods to complex engineering problem solving

2.4.         Application of systematic approaches to the conduct and management of engineering

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.

Course Learning Outcomes (CLOs)

On successful completion of the course you should be able to:

  1. Formulate different maintenance strategies including scheduled maintenance, preventive maintenance according to the systems sustainment requirements.
  2. Develop and implement the concept and plan for Total Productive Maintenance (TPM) on performance of complex engineering and logistics systems.
  3. Apply the theories of system diagnostics techniques including statistical process control, signal diagnostics, simulation and testing to determine system safety and reliability
  4. Research new system monitoring theories and methods to integrate with decision support systems.
  5. Create models for analysis of new maintenance and logistics services

Overview of Learning Activities

The learning activities included in this course are:

  • lectures: will guide you through important principles and concepts and assist in appropriate problem solving techniques;

  • laboratory sessions: will help you become familiar with hardware systems, to connect theory to practice, and reinforce the principles and concepts learnt in the lectures; and

  • project work: will help you learn many useful techniques for engineering project activities, including how to interact with staff and fellow students in a smaller group setting, communication and leadership skills.

Overview of Learning Resources

You will be able to access course information and learning materials through myRMIT.  Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided. You will use laboratory equipment and computer software within the School during project and assignment work.

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).

Assignment 1: Test – numerical concepts
Weighting 30%
This assessment task supports CLOs 2, 3, 5

Assignment 2: Reliability analysis of an ageing system
Weighting 30%
This assessment task supports CLOs 1, 2, 3, 4

Weighting 40%
This assessment task supports CLOs 1, 2, 3, 4, 5