Manufacturing Automation & Simulation 4

Overview

It provides experience of all the stages of process development in the planning and execution of an advanced aerospace engineering manufacturing program. The student will gain experience in the use of appropriate manufacturing simulation tools and techniques to support all of the major decisions made in manufacturing planning including: Type of manufacturing system. Development of automation in manufacturing. Introduction to industrial robotics. Robot components and systems. Robot programming. Current and potential applications of industrial robots. Robot control systems and kinematics. Sensor system for robotics. Ergonomics and human task analysis, line balancing,factory simulation.

Learning Objectives

Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.

Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.

Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed.


Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards.

Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity.

Adopt a holistic and proportionate approach to the mitigation of security risks.

Skills

Apply their skills in problem solving, communication, information retrieval, working with others and the effective use of general IT facilities.

Plan and carry out a personal programmes of work, adjusting where appropriate.

Exercise initiative and personal responsibility, which may be as a team member or leader.

Assessment

None.

Coursework

50%

Examination

40%

Practical

10%

Credits

20

Module Code

MEE4019

Teaching Period

Full Year

Duration

24 Weeks