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Session: 2022/23
Last modified: 10/06/2022 15:27:22
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Title of Module: Manufacturing Systems Engineering |
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Code: ENGG10010 |
SCQF Level: 10
(Scottish Credit and Qualifications Framework) |
Credit Points: 20 |
ECTS: 10
(European Credit Transfer Scheme) |
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| School: | School of Computing, Engineering and Physical Sciences |
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| Module Co-ordinator: | Adelaide
Marzano |
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| Summary of Module |
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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:
• Design of layouts.
• Human centred factory design.
• Group Technology & Cellular manufacturing.
• Different approaches to factory layout such as process and product layouts.
• Reasons for choice of cellular manufacturing and benefits.
• Manufacturing Systems modelling using discrete-event simulation.
• Analysis of manufacturing systems using Digital techniques.
The fundamentals of production planning and control, inventory management systems and inventory classification are discussed in detail. Analysis of complex Manufacturing systems discussed in detail, with consideration given to typical production planning and resource optimisation strategies.
During the course of this module students will develop their UWS Graduate Attributes (https://www.uws.ac.uk/current-students/your-graduate-attributes/ ). Universal: Academic attributes - critical thinking and analytical & inquiring mind; Work-Ready: Academic attributes - knowledge of Discrete event simulation, Digital Human modelling and relevant ICT skills; Successful : autonomous, driven and resilient.
- The aim of the module is to develop students’ understanding of manufacturing systems engineering in order to analyse and (re)design manufacturing systems that maximise value to customers while minimising waste.
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| Module Delivery Method |
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| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
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| Term(s) for Module Delivery |
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(Provided viable student numbers permit).
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| Term 1 | | Term 2 | | Term 3 | |
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| Learning Outcomes: (maximum of 5 statements) |
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On successful completion of this module the student will be able to:
L1.
State the current developments in manufacturing systems
L2.
Develop lean thinking, apply lean principles and techniques to industrial case studies
L3.
Display mastery of digital manufacturing techniques for manual and automated work cells
L4.
Integrate digital manufacturing platforms with conventional product design software
L5.
Develop a detailed computer simulation model of a manufacturing environment and use different approaches to optimize the system’s performance and output. |
| Employability Skills and Personal Development Planning (PDP) Skills |
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| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
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| Knowledge and Understanding (K and U) |
SCQF Level 10.
A critical understanding of the key elements of a Manufacturing Planning and Control System.
Specific knowledge and understanding of the principal planning and control techniques and how the integrate to provide the appropriate planning information.
A detailed knowledge on the appropriateness of computer simulation as a tool for optimizing manufacturing systems.
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| Practice: Applied Knowledge and Understanding |
SCQF Level 10.
Apply key planning techniques to develop an Aggregate Plan for a range of manufacturing strategies.
Using a Master Production Schedule develop the Planned Order Releases for a product through the application of Materials
Requirements Planning principles.
Making use of appropriate manufacturing and process information develop and verify a computer model of a manufacturing system and optimise it’s operation.
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| Generic Cognitive skills |
SCQF Level 10.
Assessing critical data and making informed judgments.
Bringing information together from a variety of sources and applying it to the problem solving process.
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| Communication, ICT and Numeracy Skills |
SCQF Level 10.
Ability to perform, interpret and evaluate numerical data in problem solving..
Communicate effectively, orally and in writing using data analysis where appropriate.
Use computer software and associated ICT equipment to enhance methods of communication.
Effectively demonstrate the application of simulation software to improve the performance of a manufacturing system.
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| Autonomy, Accountability and Working with others |
SCQF Level 10.
Identifying and addressing their own learning needs both during and out with class time.
Identifying solutions and strategies in solving manufacturing problems.
Work either individually or as part of a team during practical activities
Display appropriate time management skills when undertaking tasks.
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| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
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Module Code:
| Module Title:
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| Other: | or equivalent |
| Co-requisites | Module Code:
| Module Title:
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* Indicates that module descriptor is not published.
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| Learning and Teaching |
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| The learning and teaching activity for this module include lectures, tutorials and problem based learning. |
Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Lecture/Core Content Delivery | 24 |
| Tutorial/Synchronous Support Activity | 12 |
| Independent Study | 164 |
| 200
Hours Total
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**Indicative Resources: (eg. Core text, journals, internet
access)
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The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Operations Management – Process and Value Chains, L.J. Krajewski & L.P. Ritzman,
Addison-Wesley (2006)
Operations Management for Competitive Advantage, (11th Edition), Chase, R.B., Aquilano, N.J. & Jacobs F.R., McGraw-Hill Irwin. (2006)
Manufacturing system simulation & Human Robot Interaction in VR, Adelaide Marzano, VDM Verlag (2009)
Simulation - The Practice of Model Development and Use, Stewart Robinson, John Wiley & Sons Ltd (2003)
Discrete-Event Simulation: Modeling, Programming, and Analysis, George S. Fishman, Springer-Verlag (2001)
Evaluation of Human Work, Fourth Edition edited by John R. Wilson, Sarah Sharples, editor Taylor and Francis
Foundamental of digital manufacturing-Zude Zhou, Shane (Shengquan) Xie, Dejun Chen
Alternative Operations Management and Simulation titles will be advised at the beginning of the course
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(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
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| Engagement Requirements |
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In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
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Supplemental Information
| Programme Board | Engineering |
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| Assessment Results (Pass/Fail) |
No
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| Subject Panel | Engineering |
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| Moderator | Parag Vichare |
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| External Examiner | F Inam |
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| Accreditation Details | Contact School for current details |
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| Version Number | 3.06 |
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| Assessment: (also refer to Assessment Outcomes Grids below) |
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Assessment Category 1: Exam 60%
A minimum of 30% applies to each of these two components, with a minimum overall grade of 40% required to achieve a pass in this module. |
| Assessment Category 2: Coursework (Continual Assessment) 40% - Manufacturing Systems Coursework |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
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Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
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Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
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Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
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| Equality and Diversity |
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The programme leaders have considered how the programme meets the requirements of potential students from minority groups, including students from ethnic minorities, disabled students, students of different ages and students from under-represented groups. Students with special needs (including additional learning needs) would be assessed/accommodated and any identified barriers to particular groups of students discussed with the Enabling Support Unit.
UWS Equality and Diversity Policy |
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(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
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