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Sustainable Capacity Planning through Digital Modelling & Plant Simulation (PHDCEPS2122003)


   Computing, Engineering & Physical Sciences

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  Dr M Yaseen, Dr P Vichare  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Applications are invited for a funded PhD project on Long Term Sustainable Capacity Planning Through Modelling and Simulation using Siemen’s Tecnomatix Plant Simulation. This will be a collaborative project between ACS Clothing and the School of Computing, Engineering, and Physical Sciences, University of the West of Scotland.

Company Background: ACS is the UK’s number one menswear and womenswear rental specialist and has been providing menswear rental, sanitization, cleaning, repair, storage and picking services to UK retailers for over 20 years. The ACS operational capacity falls short of projected demand with sub-optimised operational flow – it is a clear and present challenge to growth.

Project Description

The project aims at using the latest technologies in factory simulation for digitising the ACS operational system. This will enable the experimentation and validation of product, process and system design and configuration to deliver the required future capacity. In addition, the factory simulation will include sustainability dimensions of the operational system to assist ACS towards their goal of zero emissions before 2030. The model itself will be owned by the University of the West of Scotland and be used to aid ongoing long-term efforts to improve ACS’s processes and services by improving sustainability, minimising cost, reducing waste and increasing quality.

https://www.youtube.com/watch?v=3P_u1yjofzY

Project Goals and Outcomes

Goal:

Matching supply with long-term demand and maintain first-mover advantage.

Outcomes:

 Future capacity requirements determined

 Operational capacity optimised to match demand profile

 Quality and productivity improved by using simulation

 Movement towards Net-Zero Emissions

 Fully inclusive workplace – designed for disabled and other disadvantaged staff

Funding: The student will be supported with a real living wage (£18,525 per annum) for the entire duration of the PhD project. However, the student is expected to independently cover the University’s tuition fee for the 3-year projection duration.

Access to the simulation software and necessary software licenses will be provided by the University. The student will also be provided with a laptop with the required processing capacity for this research.

Essential Requirements

 First or second class Honours degree, preferably in Production, Manufacturing, Mechanical, Chemical or Electrical Engineering or other relevant engineering discipline.

 A Master’s degree in any of these fields mentioned above.

 Sound working knowledge of any 3D CAD modelling software (preferably one of these: SolidEdge, Creo, or SolidWorks).

 Experience in collecting, analysing, and reporting quantitative data of industrial processes.

 Excellent knowledge of data analysis tools like MS Excel, GNU Octave, Scilab or Python.

 Excellent written and oral expression.

Desirable requirements

 Knowledge of Tecnomatix Plant Simulation (by Siemens)

 Knowledge of Tecnomatix Jack or Process Simulate (by Siemens)

How to Apply

All applications should be completed through the online application system of UWS: https://www.uws.ac.uk/study/research-degrees/admissions-application/postgraduate-research-application-guide/.

Applications should include the following:

 Updated CV

 Cover letter

 Degree transcripts to date

Closing date for applications: 15th February 2022

Supervisors include Dr Mohammed Yaseen, Michael Cusack & Dr Parag Vichare.

For informal enquiries about this position contact to Dr Emmanuel Epelle ([Email Address Removed])


Funding Notes

The student will be supported with a real living wage (by ACS Clothing: £18,525 per annum) for the entire duration of the PhD project. However, the student is expected to independently cover the University’s tuition fee for the 3-year projection duration
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