Eco-optimization of the offer of product-services systems for automotive mobility in a territory

Olivier Guyon (Nov. 2018)

 

Funding : CIFRE PSA

Supervision : Dominique Millet

 


Problematic: How to eco-optimize the supply of product-services systems (SPS) for automotive mobility in a territory by coupling service models, models of use of these services and technological and energy models of vehicles within these services?

Nowadays, the sharing economy is gradually taking hold and innovative uses of the car are being introduced. New mobility systems are emerging and competing with the traditional mass vehicle sales system. These new uses of the automobile mainly take the form of carpooling and car-sharing. Faced with this transition in vehicle use, car manufacturers have reacted by becoming mobility providers and thus offering such services. On the other hand, there are more and more environmental constraints in the automotive industry. In the future, it is likely that it will be essential for service providers to optimise, from an environmental point of view, (or eco-optimise) car mobility services for several reasons: to reduce the environmental impacts of car use on a territory, to communicate to customers the environmental performance of their services and finally to be able to differentiate themselves when cities are issuing calls for tenders for the implementation of mobility services.

The aim of the thesis will be to develop a method to eco-optimize the supply of product-services systems (SPS) for automotive mobility in a territory by coupling service models, models of use of these services and technological and energy models of vehicles within these services. This method will use the life cycle analysis methodology that will have to be adapted or rethought for this case.

A simulator that allows to obtain at the output one or more optimal configurations of the SPS offer of automotive mobility for a territory configured as input, will be expected as deliverable at the end of the thesis. In addition, this simulator will provide an output comparing the environmental impacts of the optimized offer with those of the initial situation of the territory in question.