Cost optimization of an assembly sequence of an electric propulsion module of an electro-solar boat.

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The RCPSP allows modeling the problem with excellent fidelity since it facilitates the establishment of the restrictions to each of the activities and having the precedence established; the algorithm should only seek to optimize the minimum cost of the entire assembly sequence. The results show that the problem’s most influential variable is time since the cost of the resources depends on it. Therefore, the solution will tend to select the mode where it is necessary to invest less time when minimizing costs. This also shows that the time invested will be optimized by relating costs to time if the cost is minimized. The cost found in the constructive method is lower than in the genetic algorithm since the constructive method proposes an exact way to solve the problem, and the genetic algorithm requires many more iterations to reach this solution (10,993). For future work, it is essential to relate the information on resources and time for all the modules’ assembly activities. In addition, deepening the implementation of the genetic algorithm, identifying variations in the intensification, and diversifying strategies would be helpful to increase the academic value of the algorithm and improve the solution. This way, the most optimal solution can be found in the shortest time and with the least possible computational expense.

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