A Systematic Literature Review About Multi-objective Optimization for Distributed Manufacturing Scheduling in the Industry 4.0

Abstract

Multi-objective optimization problems are frequent in many engineering problems, namely in distributed manufacturing scheduling. In the current Industry 4.0 this kind of problems are becoming even more complex, due to the increase in data sets arising from the industry, thus requiring appropriate methods to solve them, in real time. In this paper, the results of a Systematic Literature Review are presented to reveal the state of the art in this scientific domain and identify the main research gaps in the current digitalization era. The results obtained allow to realize the importance of the multi-objective optimization approaches. Typically, when addressing large scale real problems, the existence of many objectives usually benefits with the establishment of some level of trade-off between objectives. In this paper, a summarized description and analysis is presented, related to several main issues arising currently in companies requiring the application of multi-objective optimization based distributed scheduling, for enabling them to fulfill requisites imposed by the Industry 4.0. In this context, issues related to energy consumption, among other customer-oriented objectives are focused to enable properly support decision-making through the analysis of a set of 33 main publications.