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AI approaches to automate Bill of Materials Validation.

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

A Bill of Materials (BoM) is a document that lists all of the components and resources needed to build a product, in this case a vehicle. Each car has around 15,000 components. If any of these components are missing or incompatible the factory cannot build the vehicle. The problem is made more complex because vehicle makers offer an almost infinite variety of model variations and customisation options. Each of these needs a complete and accurate BoM if the manufacturing process is to succeed. Therefore, each BoM must be validated to ensure it is correct before the vehicle can be built. Techniques exist to automate this validation process, but there is still a heavy reliance on expert knowledge to ensure that nothing is missed or duplicated.

Using AI techniques, it may be possible to understand the variant configuration of each buildable combination and thus eradicate miss-builds and provide vehicle makers with the good information across the whole product line-up which will allow for more accurate planning in terms of assembly as well as financial control. There is a rich dataset of historical BoMs available which can be used to help with this process, as well as access to human experts whose knowledge may able to be represented in an automated procedure. It is likely that the most effective approach will combine these two approaches.

This project is offered within the Centre for Doctoral Training in Advanced Automotive Propulsion Systems (CDT-AAPS). The centre aims to create a diverse and stimulating environment where you can deepen your knowledge in your discipline through your PhD whilst giving breath to your skills through collaborations.

Prospective students will be applying for the integrated PhD programme run by CDT-AAPS which includes a one-year MRes (full time) followed by a PhD programme. The MRes course will be conducted as a cohort with a focus on technology, team-working and research skills. On successful completion of the MRes, you will progress to a PhD programme which can be conducted on a full-time or part-time basis.

CDT-AAPS is determined to create a welcoming and inclusive environment for all members. The whole CDT community will come together at specific events during the calendar year, most notably the induction events, workshops and guest lectures. All new students joining the CDT will be assigned both an academic personal tutor and a student mentor. Each student will be assigned a minimum of 2 academic supervisors at the point of starting their PhD.

Funding is available for four-years (full time equivalent) for Home/EU students.

See our website to apply or for more details (go.bath.ac.uk/aaps-cdt).

Funding Notes

AAPS CDT studentships are available on a competition basis for UK and EU students for up to 4 years. Funding will cover UK/EU tuition fees as well as providing maintenance at the UKRI doctoral stipend rate (£15,009 per annum for 2019/20) and a training support fee of £1,000 per annum.

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