Aaron Luntala Nsakanda

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We present a genetic approach for finding efficient solutions to the problem of forming manufacturing cells for products having multiple routings. We consider the case where are two criteria. The method that we propose seeks to generate the efficient set of solutions, that is the set of non-dominated solutions. The manager may then choose a solution knowing(More)
The entropy-based measure has been used in previous works to compute the population diversity in solving the cell formation problem with the genetic algorithm. Population diversity is crucial to the genetic algorithm’s ability to continue fruitful exploration as it may be used in choosing an initial population, in defining a stopping criterion, in(More)
This paper illustrates the use of simulation for evaluating and analyzing air cargo operations at one of the new state-of-the art cargo facilities at Toronto Pearson Airport. The establishment of a facility equipped with some of the latest in modern material handling systems available today and a computerized-based inventory control system that interfaces(More)
Along with marketing and maintenance implications, hub optimization is an important part of the flight schedule development process. The Air Canada flight schedule at its Toronto hub is based on two-hour non-directional connection banks. The purpose of this research is to analyze an alternative to this rule consisting of directional connection banks and,(More)