Car manufacturers face now three types of constraints when they want to adopt a new technological configuration of a vehicle environmental constraints, economical constraints and legislation constraints. In this context, Renault company wants to forecast, in a given car segment, what its customer offer might be within the next five to ten years. The main engine technologies (or technological tracks) are envisaged and assessed regarding their performances and respect of constraints. In this paper a two-stages decision-making process is presented to define what the best strategy in term of a future vehicle mix (of technologies) on the market (for a given car segment) is. The first stage of the decision-making process is a multicriteria analysis of possible technologies from the viewpoint of the customers and the Renault company itself. The technologies will be ranked from both viewpoints and only a subset of these technologies (the best tradeoffs) are considered as interesting to be proposed on the market and then kept as inputs of the second stage. The PROMETHEE decision-making method is used to compare the technologies through their scores under five criteria. The second stage of the decision-making process is a multi-objective optimisation of the vehicle mix strategy. First, one proceeds to an exhaustive enumeration (under the global constraints of market sale foreknowledge and average CO2 emission) of all possible vehicle mix configurations. The exhaustive enumeration of mix configurations is performed through integer constraint programming techniques. Second, these solutions are considered under the two following objectives: maximizing the profit for Renault and minimizing the consumption of natural resources. Then, the subset of optimal Pareto solutions is determined and the Pareto solutions are graphically displayed on a two-dimensional representation. The final choice of a preferred solution of a vehicle mix is then commented. This two-stages decision-making technique may be applied to other issues of technology mixes subject to global constraints.
Optimization of a vehicle mix under environmental and economical constraints
Optimierung eines Fahrzeugmixes unter Umwelt- und ökonomischen Restriktionen
2007
12 Seiten, 6 Bilder, 4 Tabellen, 16 Quellen
Aufsatz (Konferenz)
Datenträger
Englisch
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