Time Manufacturing Prediction : Preprocess Model in Neuro Fuzzy Expert System

It is well known that an efficient time manufacturing prevision is a key-factor in today's global market. In particular, the growing interest in job-shop model arises from the need of an efficient management of Mixed Model Assembly Cell and Flexible Manufacturing System. Due to the complexity of prevision problems, a neuro-fuzzy Expert System has been widely proposed. Recently the hybridisation of Fuzzy Logic with self-learning procedure have received concrete performance increase by the continuos increasing of the computational power of available computers, but the difficulties connecting whit high number of entries still exist. This paper presents a pre-learning procedure to overpass the complexity of entries domain. In particular the model is tested in a mechanical manufacturing operative contest. KEYWORD: Time manufacturing, Flexible Manufacturing System, Neuro-Fuzzy Expert System