Future Students - Courses

Work Systems in Manufacturing

Unit Code: HES6120

Duration	Contact Hours	Campus	Prerequisite	Corequisite
12 weeks	36 hours	Hawthorn	Nil	Nil

Duration

Contact Hours

Campus

Prerequisite

Corequisite

12 weeks

36 hours

Hawthorn

Nil

Credit Points: 12.5 Credit Points

Related Course/s:

A unit of study in the
Graduate Certificate of Engineering (Advanced Manufacturing Technology),

Master of Technology (Advanced Manufacturing Technology),

Master of Engineering (Advanced Manufacturing Technology)

Master of Engineering Science (Advanced Manufacturing Technology)

Aims & Objectives:

After successfully completing this unit, student should have:
1. Developed understanding for analysing work systems

2. Gained skills in methods engineering and layout planning

3. Applied the knowledge and skills in work management

4. Evaluate the tools and basic skills for analysing human-machine systems

Teaching Methods:

Lectures

Assessment:

Written Exam (worth 40%),
Projects (worth 60%).

Generic Skills Outcomes:

Students are expected to enhance several of their graduate attributes during this unit and should consult with lecturer if not clear as to how this unit achieves this.

Specific Swinburne generic attributes, which will be expected to be enhanced are that students:

Are informed and knowledgeable in the area.
Have pertinent skills and abilities
Have the ability to work both independently and collaboratively.
Have the ability to effectively communicate using a range of media and in varied contexts.

Content:

Introduction to the role of persons in advanced manufacturing
Work systems
* Manual work and work teams within human-machine systems, covering analysis of cycle times and workload
* Work flow and manufacturing configurations, including sequential operations, cellular manufacture, assembly lines and logistics
Methods engineering and layout planning, covering operations analysis, motion study and work design, and systematic layout planning
Human factors of work, covering physical (work physiology and anthropometry) and cognitive ergonomics (human sensory system and information processing)
Human-machine systems, covering the allocation of physical and cognitive functions between human and machine, human supervisory control (vigilance in monitoring, troubleshooting degradation in performance)
Work management, covering work organisation, worker motivation

References:

Mikell P. Groover, Work systems and the methods, measurement and management of work, Pearson Prentice Hall, 2007.