作者: Daniele Bacciotti , Yuri Borgianni , Federico Rotini
DOI: 10.1016/J.COMPIND.2015.06.004
关键词:
摘要: An analysis of the computer-aided tools supporting idea generation in product planning has been performed.The main lacks available have identified.A new approach developed for identification valuable features.The tool tested through experiments academia and industry.Experiments show capability to enhance quantity novelty ideas. The manuscript illustrates a method, implemented computer application, which supports features early phases engineering design cycles. In practice, such task is commonly carried out cognitive techniques that generate random unstructured stimuli. These approaches implement them suffer from scarce exploration space. This criticality faced by introducing an original classification value drivers, thus organizing large set concepts consisting stimuli generating proposed method combines belonging different categories order identify scenarios can provide unprecedented benefits customers other stakeholders. Experiments industry prototype software increase number ideas, reveal previously overlooked drivers customer satisfaction definition stimulated requirements.