'DMAICS 2 CRISP DM' approach for improving and optimising the performance of an industrial mining production process Online publication date: Mon, 23-Oct-2023
by Ilham Battas; Hicham Behja; Laurent Deshayes
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 14, No. 4, 2023
Abstract: In order to meet the challenges of the economic world, mining companies are always trying to improve the performance of their production chains by optimising production to the maximum possible extent. Until now, some of the most powerful and effective tools to achieve positive and sustainable operational results in organisations around the world to improve the performance of a production chain are Lean Six Sigma (LSS) and knowledge discovery in database (KDD). Therefore, using a combination of these two proven process improvement approaches (Lean Six Sigma and KDD) for the development of a mining chain efficiency prediction system will help mine managers to rapidly, and continuously improve their production chain. Indeed, the system will be an effective and efficient tool allowing each interested mining company to project itself over time, to predict the performance of its activity, to identify management alerts in advance, and to control its overall production system.
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