Orides Morandin

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This paper aims to use the Genetic Tuning, an evolutionary approach to improving an existing fuzzy database of a fuzzy system, which the rule base is generated by example, through fitness function manipulation. Evolutionary Computing is shown efficient for solving problems where the solution space is too large and its complete analyses is computationally(More)
The problem of production scheduling of manufacturing systems is a typical NP-hard optimization problem and several researchers have been using the genetic algorithms (GAs) as a search method, since these algorithms have the capacity of globally exploring the search space. However, it is reported that traditional GAs often suffers from the weaknesses of(More)
The sequencing of production is a complex activity due to its combinatory nature. Due that, priority rules are often used in order to reach the optimum sequencing. In spite of minimizing the number of production sequences obtained, these rules take a few characteristics of the production system and/or product into consideration, such as date of delivery,(More)
The response time for solution scheduling problem is a import criteria of consider in real manufacturing systems where large-scale scenarios must be evaluated since as unexpected events arise. This work describes a proposed modeling and analyses for the production reactive scheduling problem in a job shop system. The scheduling problem, generally, consists(More)
Several iechniques have been used for the deiermination of a good sequencing of parts that are stored in queues waiting far to be processed. These iechniques aim to improve the use offacioiyk resources, to increase the productivity, to decrease the lead time. to maintain the delivery date, etc. In this context, this work presents a technique that uses fuzzy(More)