Implementing a data mining solution for enhancing carpet manufacturing productivity

In recent years, knowledge has received significant attention in manufacturing to built a competitive advantage in the sector. Knowledge induction from data is an important issue in manufacturing to find the failure of the process then predict and improve the future system performance. This research examines the improvement of manufacturing process via data mining. Not only do we detect and isolate machine breakdowns in carpet manufacturing, but also we propose a C4.5 decision tree model. In addition, we use attribute relevance analysis to select the qualitative attribute's variables. Consequently, manufacturing process is redeveloped.

[1]  Orlando Durán,et al.  Collaborative particle swarm optimization with a data mining technique for manufacturing cell design , 2010, Expert Syst. Appl..

[2]  Xiaojun Zhou,et al.  Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA , 2008, Comput. Ind..

[3]  Martti Mäntylä,et al.  Information Management and Process Improvement Using Data Mining Techniques , 2000, IEA/AIE.

[4]  S. Appavu alias Balamurugan,et al.  Data mining based intelligent analysis of threatening e-mail , 2009, Knowl. Based Syst..

[5]  Chien-Sing Lee,et al.  Processing online analytics with classification and association rule mining , 2010, Knowl. Based Syst..

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

[7]  S. Appavu alias Balamurugan,et al.  Knowledge-based system for text classification using ID6NB algorithm , 2009, Knowl. Based Syst..

[8]  Hyoungjoo Lee,et al.  A virtual metrology system for semiconductor manufacturing , 2009, Expert Syst. Appl..

[9]  S. C. Hui,et al.  Data mining for customer service support , 2000, Inf. Manag..

[10]  Sid Kemp,et al.  Business Statistics Demystified , 2004 .

[11]  Manoj Kumar Tiwari,et al.  Process control in CNC manufacturing for discrete components: A STEP-NC compliant framework , 2007 .

[12]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[13]  Chih-Hung Hsu.  Data mining to improve industrial standards and enhance production and marketing: An empirical study in apparel industry , 2009, Expert Syst. Appl..

[14]  Lior Rokach,et al.  Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach , 2006, J. Intell. Manuf..

[15]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[16]  ChenGuang Liu.  A Data Mining Algorithm for Designing the Conventional Cellular Manufacturing Systems , 2007, Australian Conference on Artificial Intelligence.

[17]  Dianliang Wu,et al.  Product Quality Improvement Analysis Using Data Mining: A Case Study in Ultra-Precision Manufacturing Industry , 2005, FSKD.

[18]  Kesheng Wang,et al.  Data Mining in Manufacturing: The Nature and Implications , 2006, PROLAMAT.

[19]  Selwyn Piramuthu.  Evaluating feature selection methods for learning in data mining applications , 2004, Eur. J. Oper. Res..

[20]  Nur Evin Özdemirel,et al.  Manufacturing lead time estimation using data mining , 2006, Eur. J. Oper. Res..

[21]  Kauko Leiviskä,et al.  Knowledge acquisition for decision support systems on an electronic assembly line , 2009, Expert Syst. Appl..

[22]  Paolo Giudici,et al.  Applied Data Mining: Statistical Methods for Business and Industry , 2003 .

[23]  Wen-Chih Wang,et al.  Data mining for yield enhancement in semiconductor manufacturing and an empirical study , 2007, Expert Syst. Appl..

[24]  Elisa Bertino,et al.  Applying Data Mining Techniques to Wafer Manufacturing , 1999, PKDD.

[25]  Abraham Kandel,et al.  Discovering useful and understandable patterns in manufacturing data , 2004, Robotics Auton. Syst..

[26]  Armen Zakarian,et al.  Data mining algorithm for manufacturing process control , 2006 .

[27]  Yuko Teranishi,et al.  Development of Automated Data Mining System for Quality Control in Manufacturing , 2001, DaWaK.

[28]  Jemal H. Abawajy,et al.  A rough set approach for selecting clustering attribute , 2010, Knowl. Based Syst..

[29]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[30]  Hui Li,et al.  Data mining method for listed companies' financial distress prediction , 2008, Knowl. Based Syst..

[31]  George Karypis,et al.  Mining manufacturing data for discovery of high productivity process characteristics. , 2010, Journal of biotechnology.

[32]  Mark H. Lee,et al.  The knowledge-based factory , 1993, Artif. Intell. Eng..

[33]  Michael J. A. Berry,et al.  Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

[34]  Jie Cheng,et al.  Applying machine learning to semiconductor manufacturing , 1993, IEEE Expert.

[35]  Hiroshi Motoda,et al.  Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.