Clarifying Data Analytics Concepts for Industrial Engineering

Clarifying Data Analytics Concepts for Industrial Engineering

1. Industria 4.0

   • Developing smart Factories to improve competitiveness and flexibility

2. Main Concepts

   • Data mining
     • Extraction of potentially usefulñ information from data. Numercial algorithms
   • Machine learning
     • Technology insatruments of data mining
       • Supervised learning
       • Unsupervised learning
   • Data analysis
     • Data mining and statistical models to clean data at the beginning and to validate rules at the end
   • AI
     • Computer programs that possess own decision making capability to solve a problem of interest.
   • Big Data
     • Represents the Information assets characterized by such a High Volume, Variety and Velocity to require specific Technology and Analytical Methods for its transformation into Values

3. Extraction of value form data

   • A new challenge
     • Data mining helps with competitive advantages and the superiority of data mining and machine learning over other experimental techniques

4. Machine learning techniques in smart manufacturing

   • Supervised Learning
     • Linear methods for regression
     • Linear method for classification
     • Decision tree based method
     • Neural networks
   • Unsupervised learning
     • Principal component analysis
     • Association Rules
     • Cluester analysis
     • Self-Organizing Maps (SOM)