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Assembly Line Productivity Assessment by Comparing Optimization-Simulation Algorithms of Trajectory Planning for Industrial Robots

机译:工业机器人轨迹规划优化仿真算法比较对流水线生产效率的评估

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摘要

In this paper an analysis of productivity will be carried out from the resolution of the problem of trajectory planning of industrial robots. The analysis entails economic considerations, thus overcoming some limitations of the existing literature. Two methodologies based on optimization-simulation procedures are compared to calculate the time needed to perform an industrial robot task. The simulation methodology relies on the use of robotics and automation software called GRASP. The optimization methodology developed in this work is based on the kinematics and the dynamics of industrial robots. It allows us to pose a multiobjective optimization problem to assess the trade-offs between the economic variables by means of the Pareto fronts. The comparison is carried out for different examples and from a multidisciplinary point of view, thus, to determine the impact of using each method. Results have shown the opportunity costs of non using the methodology with optimized time trajectories. Furthermore, it allows companies to stay competitive because of the quick adaptation to rapidly changing markets.
机译:本文将从解决工业机器人的轨迹规划问题的角度来进行生产率分析。该分析涉及经济方面的考虑,因此克服了现有文献的某些局限性。比较了基于优化仿真过程的两种方法,以计算执行工业机器人任务所需的时间。仿真方法依赖于称为GRASP的机器人和自动化软件的使用。在这项工作中开发的优化方法基于工业机器人的运动学和动力学。它允许我们提出一个多目标优化问题,以通过帕累托前沿评估经济变量之间的权衡。从不同学科的角度对不同示例进行比较,从而确定使用每种方法的影响。结果表明,不使用具有最佳时间轨迹的方法的机会成本。此外,由于可以快速适应瞬息万变的市场,它可以使公司保持竞争力。

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