Identifying mapping relationships between functions and technologies with association rule mining

It is common that manufacturers strive to develop a diverse range of customised products at low costs and on time. A key to achieving this objective lies in design technologies which provide solution principles to deliver various product functions and help achieve efficiency and effectiveness in component design and production. With the focus on design, most of the studies do not address the selection of appropriate technologies and the determination of corresponding details (e.g. technology attribute values). Therefore, the purpose of this study is to address this. In this work, we propose an approach based on association rule mining to identify mapping relationships between functions and technologies. These mapping relationships not only enable companies to reuse proven knowledge about functions and technologies but also help them to effectively decide on technologies and details. A case study using a family of microlithography machines is presented to demonstrate how the mapping relationships can be identified given large volumes of function- and technology-related data and how these relationships help select technologies and determine details.

[1]  Roger Jianxin Jiao,et al.  Customer Requirement Management in Product Development: A Review of Research Issues , 2006, Concurr. Eng. Res. Appl..

[2]  Linda L. Zhang,et al.  Process platform representation based on Unified Modelling Language , 2007 .

[3]  Fj Freek Erens.  The synthesis of variety : developing product families , 1996 .

[4]  Linda L. Zhang,et al.  Representing function-technology platform based on the unified modelling language , 2012 .

[5]  Rajeev Motwani,et al.  Dynamic itemset counting and implication rules for market basket data , 1997, SIGMOD '97.

[6]  Manoj Kumar Tiwari,et al.  Data mining in manufacturing: a review based on the kind of knowledge , 2009, J. Intell. Manuf..

[7]  Hui Cheng,et al.  Aided analysis for quality function deployment with an Apriori-based data mining approach , 2010, Int. J. Comput. Integr. Manuf..

[8]  Freek Erens,et al.  Architectures for product families , 1997 .

[9]  Mu-Chen Chen,et al.  An association-based clustering approach to order batching considering customer demand patterns , 2005 .

[10]  Mu-Chen Chen,et al.  Configuration of cellular manufacturing systems using association rule induction , 2003 .

[11]  Ulrich Güntzer,et al.  Algorithms for association rule mining — a general survey and comparison , 2000, SKDD.

[12]  Andrew Kusiak,et al.  Data Mining in Manufacturing: A Review , 2006 .

[13]  Roger Jianxin Jiao,et al.  Process Platform Planning for Variety Coordination From Design to Production in Mass Customization Manufacturing , 2007, IEEE Transactions on Engineering Management.

[14]  Timothy W. Simpson,et al.  Product platform design and customization: Status and promise , 2004, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[15]  Arun N. Swami,et al.  Set-oriented mining for association rules in relational databases , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[16]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[17]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[18]  Rakesh Nagi,et al.  A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities , 2004, J. Comput. Inf. Sci. Eng..

[19]  Hans Wortmann,et al.  THE NEED FOR FUNCTION PLATFORMS IN ENGINEER TO ORDER INDUSTRIES , 2009 .

[20]  Todd R. Johnson,et al.  Task-structure analysis for knowledge modeling , 1992, CACM.

[21]  Jirachai Buddhakulsomsiri,et al.  Association rule-generation algorithm for mining automotive warranty data , 2006 .

[22]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[23]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[24]  Roger Jianxin Jiao,et al.  Association rule mining for product and process variety mapping , 2008, Int. J. Comput. Integr. Manuf..