Actualmente, el hidrógeno juega un papel crucial en la transformación sostenible de los sistemas energéticos. La electrólisis del agua mediante electricidad generada a partir fuentes energía renovables se encuentra entre procesos producción más amigables con medio ambiente. En presente trabajo, aborda optimización simultánea las dimensiones geométricas y condiciones funcionamiento celda alcalin...

DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and costs various generation, flexibility coupling options. Here we introduce DIETERpy that builds on the existing version, written in General Algebraic Modeling System (GAMS), enhances it a Python framewor...

Lot streaming, is an effective technique to increase production efficiency in a productive system by splitting job into several smaller parts overlap operations between successive machines multi-stage system. In this paper, hybrid flow shop scheduling problem with lot learning effect and buffer's limitation considered. A bi-objective mathematical model presented for minimizing the total tardine...

In this study, a problem of scheduling shipping lines for container supply chain is addressed in order to minimize the costs charging ships and cost maintaining inventory empty containers port by considering time window amount fuel. This hard-NP cannot be solved on large scale with precise methods logical time. Therefore, solve optimize model, meta-innovative algorithm, genetic has been used. A...

In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent parametric estimation problem. This mathematical developed applying Kirchhoff’s laws equivalent electric circuit of transformer. To solve NLP e...

In today’s competitive environments, companies need to be cost-effective, environmental-friendly, and social-friendly deal with several challenges that exist in markets. this context, reconfigurable manufacturing systems (RMSs) have emerged fulfil these requirements. RMS is one of the attractive paradigms. Machine components, software, or material handling units can added, removed, modified, in...

This paper deals with the problem of optimal reconfiguration medium voltage distribution networks by proposing a mixed-integer nonlinear programming (MINLP) model. optimization model has as objective function minimization total power losses in all branches network constrained active and reactive balance equations, regulation bounds device capabilities, among others. The proposed MINLP formulati...

DecisionNet is a distributed Web based electronic mar ket for decision technologies such as data models so lution algorithms and modeling environments Con sumer provider interactions are facilitated by model management software agents provided by Decision Net To illustrate di erent approaches for design ing this agent functionality we present two agents that embody di erent designs for mediatin...

Most production environments face random, unexpected events such as machine failure, uncertain processing times, the arrival of new jobs, and cancellation jobs. For reduction undesirable side effects an disruption, initial schedule needs to be reformed partially or entirely. In this paper, a mathematical model is presented address integrated cell formation cellular rescheduling problems in manu...