The connection of simulation models with virtual reality (VR) technology is great importance in implementing Industry 4.0 industrial practice. article deals the use discrete event (DES) using Tecnomatix Plant Simulation software to visualize, analyze and optimize modelled production–assembly process. evident academic sphere interactive teaching its for presents a case study focused on creating ...

this paper presents the formulation and solution of the combinatorial multi-mode resource constrained multi-project scheduling problem. the focus of the proposed method is not on finding a single optimal solution, instead on presenting multiple feasible solutions, with cost and duration information to the project manager. the motivation for developing such an approach is due in part to practica...

Earthmoving operations are a major part of many construction projects. Because of the complexity and fast-changing environment of such operations, the planning and estimating are crucial on both planning and operational levels. This paper presents the framework ofa microscopic discrete-event simulation system for modeling earthmoving operations and conducting productivity estimations on an oper...

This paper describes an approach to using simulation and visualization of discrete event oriented simulation models for multi-criteria scheduling optimization with genetic algorithms. A simulation model was used for fitness function computation of genetic algorithm results, as well as for visual representation of process behavior of a chosen schedule following genetic algorithm optimization. In...

In this paper we investigate an intelligent discrete event method suitable for modeling, simulation and control of hybrid systems. More in detail, a Fuzzy logic approach based on Discrete Event System Specification (DEVS), which is a main part of Intelligent-DEVS (I-DEVS), is emphasized in the present work. We show that the resulting Discrete Event Fuzzy Logic (DEFuL) is faster than conventiona...

Digital enterprise technologies combined with sophisticated optimization algorithms can significantly contribute to the efficiency of production. The paper introduces a novel approach for integrated production planning and control, with the description of the mathematical models and solution algorithms. The deterministic optimization algorithms are complemented by a discrete-event simulation sy...