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Global supply chain and resource management for aircraft fleets in uncertain environments

Operational Research

Location:  Highfield Campus
Closing Date:  Monday 15 July 2019
Reference:  1141719PJ

Supervisors:

Dr Stefano Coniglio

Prof Dr Joerg Fliege

Project description:

We want to develop novel mathematical models and optimisation algorithms for joint supply chain and resource management in an uncertain environment. Working closely with the project sponsor Boeing Defense UK, you will create mathematical tools that support decision makers in maintaining flexibility and robustness in resource management to meet an increasing variety of expectations in a dynamic environment.

This project offers a very exciting opportunity for developing mathematical methods to the point where they can be directly applied to important, difficult and timely practical problems. The work brings together mathematicians (experts in OR) and experts in engineering and logistics. Potential for long-term practical applications will be tested in an area within the heart of modern business management. The main objectives are flexible and will be developed together with the student and the project sponsor. Typical project goals are as follows:


  • Develop a rigorous mathematical framework to create and investigate various efficient algorithms for joint stochastic supply-chain and workforce management problems. We will place strong emphasis on methods and tools that can be developed into algorithms for practical applications, and the research will be informed by specific problems arising from our collaboration with Boeing Defense UK, which range from the theoretical to the more practical.

  • Ascertain the efficiency of the various methods developed in practical settings, especially by investigating two crucial issues: (a) Consider and develop high-performance implementations for all algorithms developed. This important objective is mandated by the hardness of the underlying problem. (b) Execute stringent computational tests and simulations to evaluate the effectiveness of the methods developed in real-world settings.

DIAMOND: from Data and Intelligence via ModelliNg to Decisions

This project is part of the Southampton DIAMOND initiative of industrially funded PhD projects in Operational Research, Data Science, and mathematical modeling. This year, eight funded studentships are available within DIAMOND.

CORMSIS, the Centre for Operational Research, Management Science, and Information Systems

 You will be part of the vibrant research environment of CORMSIS, the Centre for Operational Research, Management Science, and Information Systems at the University of Southampton. CORMSIS has an established breadth and depth in Operational Research unrivalled in the UK. Our research centre applies advanced mathematical and analytical modelling to help people and organisations make better decisions. CORMSIS is the largest Operational Research group in the UK, spanning Mathematical Sciences and Southampton Business School. Among the many areas of expertise, it has extensive breadth and depth of experience in mathematical modelling and optimisation, but covers the whole spectrum of current OR/MS/IS from mathematical optimisation through business analytics and simulation to qualitative research in problem structuring.. In the QS World Rankings by Subject 2019, Operational Research and Statistics at the University of Southampton are placed at 48th in the world and 7th in the UK. (http://www.southampton.ac.uk/cormsis/)

How to apply:

Scholarships will be awarded on a competitive basis. Applicants should have or expect to obtain the equivalent of a UK first class or upper second class honours degree (and preferably a master’s degree) in mathematics, computer science, engineering or other relevant discipline. The studentship provides a maintenance grant at the Research Council UK rate and tuition fees at the UK/EU rate. Applications should include a cover letter, CV, detailed academic transcripts and the contact details for at least two academic referees.

Please follow the link for more information on how to apply: https://www.southampton.ac.uk/maths/postgraduate/research_degrees/apply.page?&utm_source=mathspgr&utm_medium=mathspgrCTAapply&utm_campaign=mathspgrCTAapply

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