The constant changes in the world generate demands for improvements processes, either by reducing costs or increasing capacity. One of most used methods today process optimization is Discrete Simulation. This research presents a discrete simulation application, using Tecnomatix Plant Simulation software to simulate production line Manaus Industrial Pole. Mathematical modeling made it possible u...

In a simulation study, a process is imitated by using mathematical models as a quick way of studying and evaluating the process for further design and optimization purposes. Simulations are carried out by using mathematical models with required assumptions for system inputs to determine the outputs. Hence, simulation of a process is based on availability of a computational model. Mathematical m...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

This paper presents a novel concept of utilizing the photo voltaic solar farm inverter as STATCOM(Static Compensator), named PV-STATCOM, in order to improve the voltage profile of the power system. The entire STATCOM is able to transmit either active or reactive power into the grid. This system is connected to a 14 BUS IEEE standard grid as a case study to simulate the performance of the system...

An kind of operation optimization model is put forward on the basis of analyzing manufacturing system characteristics with consideration of optimization. The Features of the model are real-time, dynamic, multi-objective and multistage. The algorithm called ‘Harmonizing Cluster Results’ for the model is presented in order to solve the difficulties of solution for the manufacturing system operati...

This paper presents the modeling and simulation of a proton exchange membrane fuel cell (PEMFC) generation system for off-grid and on-grid operation and configuration. A fuel cell DG system consists of a fuel cell power plant, a DC/DC converter and a DC/AC inverter. The dynamic model for fuel cell array and its power electronic interfacing are presented also a multi-input single output (MISO) D...

Cross layer optimization based on utility functions has been recently studied extensively, meanwhile, numerous types of utility functions have been examined in the corresponding literature. However, a major drawback is that most utility functions take a fixed mathematical form or are based on simple combining, which can not fully exploit available information. In this paper, we formulate a fram...

Smart material actuators like Piezoelectric(PZT) are widely used in Micro/Nano manipulators, but their hysteresis behaviors are complex and difficult to model. Most hysteresis models are based on elementary quasistatic operators and are not suitable for modeling ratedependent or thermal-drift behaviors of the actuators. This work proposes a Preisach model based neurodynamic optimization model t...

This paper addresses a multi-objective mixed-model two-sided assembly line balancing and worker assignment with bottleneck analysis when the task times are dependent on the worker’s skill. This problem is known as NP-hard class, thus, a hybrid cyclic-hierarchical algorithm is presented for solving it. The algorithm is based on Particle Swarm Optimization (PSO) and Theory of Constraints (TOC) an...

A traditional lean transformation process does not validate the future state before implementation, relying instead on a series of iterations to modify the system until performance is satisfactory. An enhanced lean process that includes future state validation before implementation is presented. Simulation modeling and experimentation is proposed as the primary validation tool. Simulation model...