Using Artificial Classification Technique to Select Technology Acquisition Method

摘要

In aerospace sector, product life cycle and technology development periods are longer than those in most of the other sectors. Therefore technology management activities are quite important for high technology firms and technology acquisition is one of the most important parts of these activities. Within this context, selection of better technology acquisition methods for justifying cost and schedule needs is an optimization challenge. In this study, some input parameters (dual usage, TRL etc.) are identified in order to reach output parameters as technology acquisition method (in house R&D, buy etc.) using artificial classification techniques (neural network, fuzzy logic etc.).