Intelligent multi objective optimisation for sustainable servitisation PhD

Doctoral and postdoctoral

The total service fee for this program:

€ 499

Pre payment for this program:

€ 99

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ABOUT

This is an exciting opportunity for a fully-funded PhD studentship at Cranfield University in the field of artificial intelligence (AI), machine learning and optimisation for sustainable servitisation. Servitisation refers to the service transformation from supplying only products to providing integrated products and services. Over the past decades, servitisation aims to create ‘economic value’ for manufacturers and their customers. Industry 4.0 enables manufacturers to develop innovative technologies to increase their competitiveness continuously. Emerging technologies must support sustainable development goals to make a world technologically advanced and create a healthier, safer, and happier place to live. This necessitates companies to deploy digital infrastructure to quantify the integrated sustainability impacts of their services and manufacturing processes effectively and efficiently. To achieve this, it is required to design integrated product-service solutions that enable the manufacturers to create early-value for money and reduce the environmental/social impacts of servitisation. Several challenges exist to move towards such so-called ‘sustainable servitisation’; (i) the highly interactive processes over a product lifecycle cause complications for integrated sustainability assessment; (ii) major assets comprise hundreds of components with highly interactive functions that increase the operational risk and uncertainty; (iii) manufacturers require to provide sustainable and affordable products and services just-in-time with minimum operational disruptions for customers

Aim

This project investigates novel optimisation approaches for autonomous sustainability impact quantification while designing optimal product-service solutions to address these challenges. Autonomous means intelligent with minimum human intervention. The autonomous multi-objective optimisation approach will accommodate the quantification of stochastic (dynamic and non-linear) uncertainties, the robustness of optimisation function, and computational efficiency in optimisation algorithm. This project aims to develop a hybrid multi-objective optimisation model using efficient evolutionary algorithms and multi-agent network robustness optimisation. The key objectives are:

1. Develop a novel mathematical model of a multi-objective optimisation for sustainable servitisation.

2. Develop a system design architecture of the required digital infrastructure to quantify the integrated sustainability impacts.

3. Integrate machine learning techniques with the optimisation model to quantify early-stage value for money in servitisation.

4. Demonstrate the application of the intelligent optimiser toolset using an industrial case study.

This project collaborates with Siemens Energy Industrial Turbomachinery (SEIT). SEIT is committed to manufacture and support Gas Turbines to provide sustainable, reliable, affordable energy to the world. As part of this study, Siemens would like to provide a case study for testing and deploying the research solution on smart sensors and emissions monitoring to further improve the sustainable value of our gas turbines.

The potential outcome of this research will tackle the existing challenges in service contract design in high-value manufacturing. This PhD project is expected to design a sustainable product-service solution for high-value equipment to enable the manufacturers to create early-value for money and reduce the environmental/social impacts through servitisation.

This PhD project provides the opportunity to collaborate with Siemens Energy Industrial Turbomachinery as one of the leading companies in the energy sector in the UK. Cranfield University and Siemens Energy will provide training on several transferable skills such as enterprise modelling, complex system modelling, simulation techniques, gas turbine, sensor technology and IT platforms.

The successful candidate has this opportunity to disseminate the outcome of the research in relevant conferences. In addition, Cranfield University and Siemens Energy will provide several training sessions on relevant academic and research skills, software and technical skills.

 

Entry requirements

Applicants should have a first- or second-class UK honours degree or equivalent in a related discipline. This project would suit applicants with a background in engineering or other related manufacturing or data science area. Moreover, it is expected that the applicants demonstrate good problem-solving and time-management skills. The successful applicant is expected to conduct high-quality research and literature review on the relevant research area.  The candidate is encouraged to publish high-quality articles in the related leading journals, work closely with the academic and industrial supervisors, and collaborate in the research activities within the Centre. It is expected that s/he presents their work to academic and professional audiences and follows the PhD courses and the training designed for PhDs at Cranfield University

 

  • Application deadline 01 Aug 2022

FREE VISA SERVICE

One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Expenses (GBP)

Tuition (per year)

21740

GBP

Application Fee

0

GBP

Program expenses

University & General Expenses

REQUIREMENTS

Minimum Level of Education
Min GPA (max=100)

50

IELTS
7.00

accommodation

The School of Water, Energy and Environment, the School of Aerospace, Transport and Manufacturing, and the School of Management are located on the Cranfield Campus, as well as many industrial-scale facilities for research.
There are many facilities on Cranfield Campus, including: student accommodation options, two hotels with full accommodation and conference and banqueting facilities, sports and recreation facilities, and a private airport. Cranfield Campus sports facilities include several tennis courts sports pitches, playing fields, an aerobics stadium, and a fitness center.
Students admitted to a full-time course can apply for on-campus accommodation. They will also be able to find private housing off campus in nearby areas. Cranfield Campus has 1,466 single rooms, 75 studio apartments for couples, and 97 family homes including two-bedroom, three-bedroom, and four-bedroom houses. All dormitories have Wi-Fi internet connection. All students will benefit from Endsleigh insurance, which covers the risks that may occur while living in student accommodation.
Cranfield University provides many opportunities for students to participate in a various range of societies and clubs, such as the Musicians Society, Astronomical Society, and Basketball Club. The Cranfield Student Association is managed by a team of selected students. It is also supported by a small team of staff. Its purpose is to promote student welfare and to organize cultural, social, and sporting activities.
Cranfield has a wealthy collection of library resources and services to support students’ academic work. This collection has nearly 200 academic and leading commercial databases which provide access to in-depth application topics and current information related to the subject under study. It also has more than 22,000 e-journals, as well as core collections of reports, magazines, books, and a range of current awareness services.
Cranfield provides support, services and systems, whether industry-leading software and high-performance computing capabilities or network access. It offers a high-speed, wireless network to provide students with the opportunity to access a wealth of online services. Cranfield IT services are available 24 hours a day, 7 days a week, on and off campus, and gives students access anytime, anywhere.

After Graduation

Students will benefit from Cranfield Career Development Services, which have a variety of aspects and functions, from providing 1: 1 coaching to connecting with employers. Students will have access to some key resources before entering the university to prepare their resume for the recruitment season. Upon arrival they will be able to join workshops to create their own professional profile and start applying for vacancies. During the year, Cranfield organizes events, careers fairs, and client presentations to present job opportunities and networking, where students attend interviews and negotiate proposals.
From 1 July 2021, the British Government has launched a new route for international graduates to increase their employment opportunities in the UK. This route welcomes all international students who have successfully completed their course at Cranfield. This visa allows MSc graduates for two years and doctoral graduates for three years to work or search in any position or job they wish and it can be converted to a skilled work visa after finding a job in

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Title:

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Level:

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Country:

Intelligent multi objective optimisation for sustainable servitisation PhD

Science

Doctoral and postdoctoral

Cranfield University

United Kingdom

499
-
499
0
99
400
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One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Tuition
Deadline

21740

Deadline

Application Fee

Deadline

0

Deadline
Minimum Level of Education
Min GPA (max=100)

50