e-prognosis and diagnosis for process management using data mining and artificial intelligence

In the past several decades, the huge amount of data was collected and processed by manufacturers to improve the quality and the productivity of products. Data collection mechanism as one of the process management system is an essential part in the manufacturing processes. Many researchers now devote substantial portions of their day to worrying about data handling that includes extracting information. But, the accumulated records in the real manufacturing processes are not effectively utilized to change operational conditions or remain unused condition. Therefore, the primary goal of this paper is to survey the existing KM techniques and apply the methods to two examples for e-prognosis and e-diagnosis purposes.