A5079561145- Scheduling and Optimization Algorithms
- Manufacturing Process and Optimization
- Quality and Supply Management
- Assembly Line Balancing Optimization
- Metaheuristic Optimization Algorithms Research
- Advanced Manufacturing and Logistics Optimization
- Advanced machining processes and optimization
- Advanced Measurement and Metrology Techniques
- Neural Networks and Applications
- Occupational Health and Safety in Workplaces
- Operations Management Techniques
Universidade Nove de Julho
2011-2024
Instituto de Neurología Cognitiva
2017
In this work, genetic algorithm (GA) technique was applied to investigate cutting process parameters influence on workpiece price formation using the concepts of contribution margin. The is one most important processes among many others available in manufacturing scenarios. Nevertheless, it common find some manufactured item, or at least part it, that made, by process. Because its importance, studies related optimization were performed, and last years, task has been explored different...
This work proposes a new methodology to optimize flexible manufacturing cells applying Simulated Annealing and Contribution Margin concepts. helps determine the number of extra products that could be sold manufactured while taking advantage this idleness. The price formation sell was based on contribution margin main concept is use cell idleness increase profits costs are already paid. Equipment workers have their fixed paid regardless whether they active or not. When not active, all...
Manufacturing cost minimization and productivity maximization are essential for the machining industries sector to survive in market. The production shop floor is a source of achieving strategic data, providing information assist cutting processes optimization better help use equipment resources efficiently. In this sense, objective work present development New Cutting Process Operational Decision Support System which following most modern computational architecture (this system being known...
Algoritmos de otimização com dois nı́veis usam, em geral, uma combinação modelos: um definido no espaço busca original (fine model) e outro subespaço aproximado (coarse model). Em alguns casos, o coarse model precisa ser refinado a cada iteração elevando custo computacional. Este trabalho apresenta Algoritmo Genético que utiliza global base modelo rede neural artificial, qual é criado partir da análise componentes principais conjunto preliminar soluções obtidas original. Para...