Calls for papers


International Journal of Rapid Manufacturing
International Journal of Rapid Manufacturing


Special Issue on: "Data Mining and Knowledge Management"

Guest Editors:
Dr. Emad S. Abouel Nasr, Helwan University, Egypt
Dr. Hisham Al-Mubaid, University of Houston – Clear Lake, USA

Companies no longer follow to the traditional philosophy of capturing market share by producing large volumes of standardised products. Businesses must now be able to quickly respond to today’s market needs and predict the future demands and expectations of their market base.

Data mining has important and crucial applications in manufacturing and engineering. Modern organisations produce and generate large volumes of data over time. This data include knowledge, patterns, and information that could lead to increased efficiencies, cost reduction and reliable operations. Knowledge generated from data mining process is an important factor in the success of these industries in the today’s competitive market.

The aim of this special issue is to identify the research issues related to data mining and its application in engineering and business environment in light of global challenges. The goal of this special issue is to cover a variety of topics and issues related to data mining with specific application to knowledge extraction and management.

Subject Coverage
Data Mining Concepts and Applications
  • Data mining for manufacturing applications/system.
  • Fault detection and diagnostics
  • Reliability and Maintenance
  • Process and Quality Control
  • CAD & CAM & engineering design
  • Material requirement planning (MRP).
  • Concurrent engineering
  • Decision support systems
  • New Product Development
  • Lean manufacturing
  • Other related subjects
Data Mining Frameworks, Methods and Technologies
  • Data mining and knowledge acquisition
  • Genetic Algorithms
  • Knowledge discovery from industrial data
  • Expert systems
  • Supervised/machine learning
  • Artificial Neural Networks (ANN)
  • Other related subjects
Case Studies

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Paper Submission: 31 March 2009

Communication of Results: 15 May 2009

Final Manuscript submission: 31,July 2009