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A Heuristic Approach to Schedule Mobile Robots in Flexible Manufacturing Environments

机译：在柔性制造环境中调度移动机器人的启发式方法

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Modern manufacturing models demand customization, service-orientation and sustainability. The generations of mobile robots will therefore have to cope with more complex tasks and rapidly adapt to new situations. This paper deals with the problem of utilizing mobile robots efficiently in such manufacturing environments. Mobile robots, thanks to rapid technological development, are not only able to transport materials as traditional transporting robots but also perform manufacturing tasks at some machines by using their manipulation arms. These manufacturing tasks have lower priority and can be interrupted to allow the mobile robots to carry out multiple transport when needed. The performance criteria are to minimize the time required to complete all tasks, i.e. makespan. A heuristic approach based on genetic algorithms is developed to find the best solutions for the problem. A numerical example is conducted to demonstrate the result of the proposed approach.
机译：现代制造模型要求定制，服务导向和可持续性。因此，一代代的移动机器人将不得不应对更复杂的任务，并迅速适应新情况。本文讨论了在这样的制造环境中有效利用移动机器人的问题。得益于快速的技术发展，移动机器人不仅能够像传统的运输机器人一样运输物料，而且还可以利用其操纵臂在某些机器上执行制造任务。这些制造任务的优先级较低，可以中断以允许移动机器人在需要时执行多次运输。性能标准是最大程度地减少完成所有任务（即制造期）所需的时间。开发了一种基于遗传算法的启发式方法，以找到该问题的最佳解决方案。数值算例表明了该方法的结果。

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