Recent growth in aviation industry, large civil jet engines OEMs (Original
Equipment Manufacturer) and MROs ((Maintenance, Repair and overhaul)) have
emphasised on decreased profits, poor technology selections and maintenance
focused design. This has generated service based approach in their selling, offering
all customers’ requirements, known as servitisation. The servitisation has increased
profits but did not solve the challenges of poor technology selection and design. The
difficulties involved within servitisation entails rationalised decision making often
with high risk and very limited information.
This thesis assesses the most suitable Multi-criteria decision making (MCDM) in
concurrence with OEMs and MRO focus groups that recognises the industrial
requirements and proposed a novel selection method which is an AHP algorithm
based on MCDM in efforts to address business KPIs in aero engine servitisation.
This AHP algorithm based MCDM develops an optimised repair process/technology
selection framework which is called ORSS (Optimised Repair Selection Strategy).
The ORSS applies the business KPIs (Quality Cost Delivery) as a selection criteria
combined with the repair engineer's requirements and expert's evaluation of
processes/technologies based on a component and its damage-mode to provide the
optimised repair process/technology selection that also compliments the
components lifecycle repair strategy. A structured knowledge sharing framework
has also been developed. This consists of the information that the designers can
update to help repair teams to become more effective and efficient in repair and
services critical information tasks.
These frameworks were validated successfully by experts within the design, repair
and service teams at Rolls Royce. These frameworks have shown high levels of
improvements in repair process selection and the key knowledge sharing for
designs.Engineering and Physical Sciences (EPSRC)PhD in Manufacturin
