A DSS model for selection of computer on module based on PROMETHEE and DEX methods

Abstract

The onset of Industry 4.0 requires for development of self-aware systems. The core of such systems are computationally powerful yet energy efficient embedded modules, called computer on module (COM), capable of performing various tasks of control, data acquisition and signal processing. The market is flooded with various COM systems thus making the selection of the most appropriate one for appropriate task is a very difficult task. This decision problem is addressed by employing PROMETHEE and DEXi methods. The proposed solution is a decision model based on 13 attributes. The evaluation is performed on a set of 53 currently available COMs.