CRANFIELD UNIVERSITY

Research Fellow in Manufacturing Systems Simulation

Location
Cranfield, United Kingdom
Salary
£32,656 per annum
Posted
04 Sep 2018
End of advertisement period
03 Oct 2018
Ref
2809
Contract Type
Fixed Term
Hours
Full Time

This Research Fellow position will focus on manufacturing process modelling and cost-benefit analysis of introducing RFID based track and trace systems. The main objective is to develop an integrated simulation model of the complex system to join the inventory control system, pull systems so-called Just-In-Time (JIT) manufacturing, multiple predictive data analysis and cryogenic supply chain. This research will involve integrating manufacturing planning, and scheduling with RFID enabled and agile manufacturing to enhance manufacturing management in CGT sectors. The ultimate aim of the project is to predict the productivity gains by introducing the RFID technology.

Organisation Cranfield University

School/Department School of Aerospace, Transport and Manufacturing

Based at Cranfield Campus, Cranfield, Bedfordshire

Hours of work 37 hours

Contract type Fixed term contract

Fixed Term Period 2 years

Salary £32,656 per annum

Apply by 03/10/2018

Role Description

Cranfield is an exclusively postgraduate university that is a global leader for education and transformational research in technology and management.

Cranfield Manufacturing is one of the major themes at Cranfield University. Our capability is world-leading and combines a multi-disciplinary approach that integrates design, technology and management expertise. The Through-life Engineering Services (TES) Centre is a National Centre initially established with the funding from EPSRC and industry and provides world-class capability in the UK to deliver high value products with outstanding availability, predictability and reliability with the lowest life cycle cost.

This Research Fellow position will focus on manufacturing process modelling and cost-benefit analysis of introducing RFID based track and trace systems. The main objective is to develop an integrated simulation model of the complex system to join the inventory control system, pull systems so-called Just-In-Time (JIT) manufacturing, multiple predictive data analysis and cryogenic supply chain. This research will involve integrating manufacturing planning, and scheduling with RFID enabled and agile manufacturing to enhance manufacturing management in CGT sectors. The ultimate aim of the project is to predict the productivity gains by introducing the RFID technology.

The context of the project is driven by the emergence of Digital Manufacturing and Automation, which is changing the nature of the current system. This project builds upon the recently completed Innovate UK project which identified a number of unique challenges in this industry. This project aims to address the challenges regarding (i) the requirements to automate the manufacturing process, while maintaining product at cryogenic temperatures without any temperature excursions; (ii) ensuring a secure and resilient chain of identity through the complete manufacturing and delivery sequence from donor to patient so-called vein-to-vein.

The main contributions of this Research Fellow role will be built around developingnovel system simulation and predictive modelling and data analysis techniques for complex manufacturing systems and supply chain.

You will have a PhD (or near completion) in one of the following; simulation of Manufacturing Systems, Control Systems, Industrial Engineering, Biotechnology & engineering or Health economics. With excellent communication skills, you will have expertise in artificial intelligence and a background in maintenance would be an advantage.

For an informal discussion, please contact Dr. John Erkoyuncu, Senior Lecturer in Digital Service Engineering, on (T); +44 (0) 1234 754717 or (E); j.a.erkoyuncu@cranfield.ac.uk

At Cranfield we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential.

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