Eva Selene Hernández Gress

ANÁLISIS DE ESTRATEGIAS DE PRODUCCIÓN Y REEMPLAZO DE SISTEMAS PRODUCTIVOS BAJO UN PROCESO DE DETERIORO

The present article studies the problem of determining the production and replacement strategies for a production system subject to a deterioration process. The manufacturing system is composed of a production unit, which produces a single part type. Due to the deterioration process, the failure rate and the rate of defectives, increases progressively. This paper proposes three strategies that simultaneously control the production rate and the replacement rate that mitigates the effects of the system deterioration. The three control strategies CPR1, CPR2 and CPR3 are analyzed and compared in terms of the total incurred cost. The objective of the models is to minimize the total incurred cost in an infinite horizon. Moreover, a methodology based in statistical analysis of the simulation models and their optimization is proposed, with the objective to determine the optimal control parameters. In order to validate the obtained results, an extensive sensitivity analysis is conducted for both policies, which shows the effect of several costs in their respective control parameters. The obtained results indicate that the CPR3 policy, which needs a security inventory to replace the system, reports a reduction in the total cost compared to the CPR1 and CPR2 policies. Keywords: production systems, deterioration process, production, replacement, simulation.

Systemic Diagnosis and strategy-based Performance Indicators—Bamboo panel company case

This paper addresses the situation of a Bamboo Panel Company as a part of the Program for Research Stimulation, Technological Development and Innovation of the NATIONAL COUNCIL OF SCIENCE AND TECHNOLOGY. Specifically, on the Strategic Planning: Systemic Diagnosis and Performance Indicators through the Balanced Scorecard. The identification of the productive chain is presented. The vision and the mission are revised and the general strategy and the policies are determined. Another of the deliverables was the “Performance Indicators”, but they were not intended to establish solely the relation to the productive process; they were indicators that really aligned the organization with its strategy to lead it to achieve its vision. The results of this research are the basis of the actions undertaken to make the process more efficient: semiautomate the process with a machine specially designed to assemble bamboo panels, determine a layout, invest on training of employees, among others.

EL PROBLEMA DE PROGRAMACIÓN DE TRABAJOS Y ACOMODO DE MÁQUINAS

Se presenta un nuevo enfoque que aborda conjuntamente el problema de acomodo de maquinas, y la programacion de una secuencia de trabajos. Estas son decisiones importantes a considerar para lograr eficiencia y flexibilidad en el area de produccion, aunque estan interrelacionadas y pueden tener un impacto considerable en los objetivos de la organizacion, se tratan por separado.

Modelos de simulación aplicados a la planificación de sistemas de producción no-confiables

ABSTRACT: This work discusses the obtained results in the article of Rivera-Gomez et al. [1], that deals with the production control problem of an unreliable manufacturing system subject to random failures and repairs. The main objective of the study is the assessment of the ARENA simulation software at reproducing accurately the dynamics and the stochastic behavior of an unreliable manufacturing system. Three simulation models were developed, based on concepts of discrete and continuous simulation. The simulation results are validated with an analytical solution and a comparison of the models is conducted in terms of accuracy and time economy. The obtained results show that the continuous simulation model with C++ inserts outperforms the rest of the models. The results of the study can be extended to real cases in industries with complex systems. Keywords: modeling methodologies, manufacturing system, discrete simulation, continuous simulation, optimal control.