Defect reduction in PCB contract manufacturing operations
Proceedings of the 21st international conference on Computers and industrial engineering
Computers in Industry - Special issue: Soft computing in industrial applications
Electronics Process Technology: Production Modelling, Simulation and Optimisation
Electronics Process Technology: Production Modelling, Simulation and Optimisation
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
Application of self-organizing maps in analysis of wave soldering process
Expert Systems with Applications: An International Journal
A modelling and optimization system for fluidized bed power plants
Expert Systems with Applications: An International Journal
Emission analysis of a fluidized bed boiler by using self-organizing maps
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Quality-oriented optimization of wave soldering process by using self-organizing maps
Applied Soft Computing
SOM-Based method for process state monitoring and optimization in fluidized bed energy plant
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
A software platform for process monitoring: Applications to water treatment
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Quality issues have become increasingly important in the production of electronics, especially when dealing with electronic products not assimilated to the mainstream of consumer electronics, but rather to the group of industrial electronic devices and machinery designed to last for years or even decades. In this paper, an intelligent optimization and modeling system for electronics production is demonstrated. The system exploits real production data and can be used to diagnose and optimize the manufacturing processes. It contains three modules consisting of appropriate mathematical tools specifically tailored to each task: (1) preprocessing, (2) variable selection, and (3) optimization modules. Moreover, concrete examples are presented from the latter two modules, by using a wave soldering process as a case study. Currently, the system works on the Matlab platform, but can be programmed into standalone software and automated in the future. The results illustrate that the system can offer an efficient tool for diagnostics and process optimization in the electronics industry.