Discrete-event simulation using estimation of distribution algorithm

Abstract

The science of decision making or operations research (OR) is present in all levels and in all industries. The Industrial Optimization can carry out the decision-making through analysis of the operation of any system, formulation and use of models to achieve the proposed goals and targets, with proper utilization of available resources. Its scope is very broad, applying to problems of manufacturing, transportation, construction, telecommunications, planning, financial management, health sciences, and services, among others. In this preliminary work, we present a hybrid proposal between discrete event simulation and a distribution estimation algorithm; our goal is to contribute to knowledge in the area. This work is being developed in a manufacturing plant where steel doors and frames are parallel activities.