EMPLOYING DATA MINING TECHNIQUE TO ACHIEVE THE PARAMETER OPTIMIZATION BASED ON MANUFACTURING INTELLIGENCE

ABSTRACT

Business intelligence (BI) can bridge the gap between disconnected silos of information, and BI is also viewed as a power tool to help enterprises survive during the competitive environment. From the viewpoint of system, business process and manufacturing process are also viewed as a system. Hence, manufacturing processes also have hidden intelligence like as the concept with respect to business processes. Those potential intelligences behind manufacturing processes should hold the information about process improvement or product development. Namely, mining such manufacturing intelligence will have positive contribution to enterprise's core competition. In this study, we proposed a procedure based on artificial neural networks (ANNs) to mine the possible manufacturing intelligence for achieving parameter optimization. The rationality and feasibility of the proposed procedure can also be demonstrated well according to the illustrative example in this study.

Keywords:

• manufacturing intelligence
• data mining
• parameter optimization
• quality control