Monte Carlo Simulation is a statistical technique used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. By running a large number of simulations with varying input parameters, it allows engineers and designers to assess risks, optimize designs, and make informed decisions based on the likelihood of various scenarios. This méthode is particularly valuable in product design and innovation, as it provides insights into potential performance and reliability under uncertain conditions.
Alors que les industries et les concepteurs sont confrontés à des pressions réglementaires croissantes et à la demande des consommateurs en matière de durabilité, l'intégration de l'ACV dans les produits est devenue une nécessité.
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