MECHENG 753 : Manufacturing Information Systems

Engineering

2021 Semester Two (1215) (15 POINTS)

Course Prescription

New or emerging information technologies and their applications in manufacturing enterprises. Product modelling technologies based on STEP (STandard for Exchange of Product data), and intelligent and interoperable manufacturing systems. Applications to computer numerically controlled (CNC) machine tools and applications of RFID in a modern manufacturing setting.

Course Overview

This course is now renamed to be "Industry 4.0 for Smart Manufacturing". It contains three blocks of contents:

  • Industry 4.0 for Smart Manufacturing I: Introduction to Industry 4.0 and Technology Readiness
An overview of Industry 4.0 with a strong focus on manufacturing companies that are on the path of digital transformation. Introduction of some tools and models for measuring Industry 4.0 readiness in areas of Business Strategy, Smart Factory, Smart Operations, Smart Products, Data-driven Services and Employees.

  • Industry 4.0 for Smart Manufacturing II: Industrial Internet of Things and Data Analytics
Essential Industrial IoT sensing, communication and data analysis technologies with a focus on industrial/manufacturing automation applications. Students are expected to gain basic knowledge of evaluating these technologies.

  • Industry 4.0 for Smart Manufacturing III: Digital Twin and its Industry Applications
Technologies of "Digital Twins" and how Digital Twins can be used in industrial applications.  Digital Twins are able to make decisions independently, use model simulations and communicate with other Digital Twins and the production plant. Digital Twins-enabled, decentralized and autonomous optimization will also be covered.

Both BE and ME students are welcome to attend this course.

Course Requirements

Prerequisite: MECHENG 352 or 752

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Capability 6: Social and Environmental Responsibilities

Learning Outcomes

By the end of this course, students will be able to:
  1. Demonstrate an understanding of Fundamentals of Industry 4.0 for smart manufacturing (Capability 1, 4 and 6)
  2. Understand and use some of the tools and models for measuring Industry 4.0 readiness (Capability 1, 2, 3, 4 and 5)
  3. Demonstrate an understanding of of the tools of Industrial Internet of Things and Data Analytics (Capability 1, 2 and 3)
  4. Understand and apply Cyber-twin/digital twin for a manufacturing setting (Capability 1, 2, 3, 5 and 6)

Assessments

Assessment Type Percentage Classification
Assignments 70% Individual Coursework
Test 30% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4
Assignments
Test

Workload Expectations

This course is a standard 15 point course.

During a typical teaching week, there will be 2 hours of lectures. For the 12 teaching weeks, this totals to 24 hours. Since the course as a whole represents approximately 150 hours of study, that leaves a total of 126 hours across the entire semester for independent study, e.g. reading, reflection, preparing for, and completing assessments. This means that you can expect roughly 10 hours of independent study per week, acknowledging that the workload will be higher toward the end of the semester compared to the early part of the semester.

Delivery Mode

Campus Experience

 Required attendance is at least 2 hours per week at scheduled activities including lectures/tutorials to complete components of the course.
Lectures will be available as recordings. Other learning activities will not be available as recordings.
The course may include live online events including group discussions/tutorials.
Attendance on campus is required for the test.
The activities for the course are scheduled as a standard weekly timetable.

Health & Safety

Students are expected to adhere to the guidelines outlined in the Health and Safety section of the Engineering Undergraduate Handbook.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 10/12/2020 09:07 p.m.