THESIS: Circular economy of spare parts and data driven analytics

Background
The transport industry is developing in a higher pace than ever before and we at Volvo Group want to shape the future of transportation. We are committed to the ambitions and climate change goals of the Paris Agreement. And we believe that now is the time to accelerate opportunities of circular economy and sustainability. Also, we are aware that a new era is here. Technologies such as big data, automation and artificial intelligence are changing the way we look at manufacturing and logistics.
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A stock management concept was created by Volvo, where the spare parts are supplied to our 4000 dealers around the globe through an automated inventory concept, which objective is to provide excellent customer satisfaction, through cost efficiency, healthy stock, operational excellence, and world class availability.
When the spare parts distributed to our dealers were not used our customers have the option of returning them, which generates a cost for the supply chain.


Thesis questions and expected outcome
The objective of the thesis is to evaluate measurements for the buybacks, and how data driven decisions could help to reduce the costs of them. We believe that having KPIs, measurements and/or data analytics to support decisions could help us to reduce the buybacks and then to reduce supply chain costs.


Deliverables
Benchmark of KPIs, measurements, and data driven analytics for circular economy for supply chain
Proposal of circular economy KPIs and measurements for Volvo’s supply chain
Implement a data driven analytic for Volvo’s supply chain. The analytic type could be Descriptive, Diagnostic, Predictive, and Prescriptive.

Student profile and application
MSc student in Supply Chain or other related discipline.
Application deadline: TBD, we will continuously review the applications so don’t wait with submitting.


Contact information
For further information, please contact:
Recruiting manager:
Thomas Nordenskjöld at Advanced Analytics Europe
E-mail: Thomas.nordenskjold@volvo.com
Phone: +46739025355


Volvo Group Mentor:
Ana Elsa Hinojosa Herrera, Digital Driver at Supply Chain Optimization
E-mail: ana.elsa.hinojosa.herrera@volvo.com
Phone: +46765531052


Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.