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PhD in Framework for Manufacturing Prognostics

Cranfield University

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    Cranfield Campus

  • Study mode

    Full time

  • Start date

    JAN

  • Duration

    3 Years

Course summary

This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any stoppages.However, in most of the industries, OEM specifications are used to maintain the equipment’s/machineries which are often based on schedules and preventive strategies. It has been observed that equipment’s or machine components are maintained on these schedules even without a need of repair or replacement. In addition, the stoppages to execute the schedules strategies also increase the production cost and reduce the true potential of the productivity. In this PhD research, a framework for manufacturing prognostics will be proposed to address the mentioned challenge with a focus on manufacturing industries located in Kuwait. The framework will connect productivity, cost, equipment workability, and product quality. The utilization of near real time equipment inspections and its impact on production will be quantified. The proposed framework validation will be achieved by implementing it on a selected manufacturing sector.

Tuition fees

Students living in United States
(International fees)

£ 22,620per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Cranfield University

  • Campus address

    Cranfield Campus, College Road, Cranfield, Bedfordshire, MK43 0AL, United Kingdom

With a student body representing 110+ nationalities, Cranfield is committed to diversity and inclusion, and aims to provide a supportive learning environment.
An emphasis on advanced practical, postgraduate and professional education, with full-time and part-time programmes.
Industry input to courses to ensure they stay relevant and develop in-demand skills. Many staff have industry backgrounds, as well as being leading academics.

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