Application of Data Mining in Engineering of Product Manufacturing from Conceptual Design to Final Production

Document Type : Conceptual Paper

Authors

1 Ph.D. Candidate of Industrial Engineering, Iran University of Science and Technology

2 Professor, Department of Industrial Engineering, Iran University of Science and Technology

Abstract

In today's world of production, a large amount of information, including product and process design, assembling, material planning, quality control, planning, repair, maintenance, error detection, etc., is collected in database management systems and data warehouses. Therefore, the use of data mining in different areas of the production process has been growing dramatically in recent years. This paper reviews the studies on the discovery of knowledge and data mining applications as an important tool in the wider field of production. The purpose of this research is to provide a new framework for research efforts in relation to the current methods of using data mining in production based on the type of extracted knowledge, the used method and thus the identification of promising fields for study. The reviewed articles divide the application of data mining in the production process into four categories, including specifying, predicting, classifying and clustering. In this study, the applications of each tool mentioned in the different sections of the production of a product or service are introduced in order to expand the scope of future research

Keywords

References

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History

  • Receive Date: 09 August 2017
  • Revise Date: 15 November 2017
  • Accept Date: 29 November 2017
  • Publish Date: 22 November 2017

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