Knowledge Discovery and Analysis in Manufacturing

Mark Polczynski, Marquette University
Andzrej Kochanski, Warsaw University of Technology

Quality Engineering, Vol. 22, No. 3 (June, 2010): 169-181. DOI.


The quality and reliability requirements for next-generation manufacturing are reviewed, and current approaches are cited. The potential for augmenting current quality/reliability technology is described, and characteristics of potential future directions are postulated. Methods based on knowledge discovery and analysis in manufacturing (KDAM) are reviewed, and related successful applications in business and social fields are discussed. Typical KDAM applications are noted, along with general functions and specific KDAM-related technologies. A systematic knowledge discovery process model is reviewed, and examples of current work are given, including description of successful applications of KDAM to creation of rules for optimizing gas porosity in sand casting molds. Finally, directions in KDAM technology and associated research requirements are described, and comments related to application and acceptance of KDAM are provided.