Process Dynamics-Aware Flexible Manufacturing for Industry 4.0
Process Dynamics-Aware Flexible Manufacturing for Industry 4.0
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DOI：
10.1109/case49997.2022.9926495
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Michael Balszun;Clara Hobbs;Enrico Fraccaroli;Debayan Roy;F. Fummi;S. Chakraborty
中科院分区：
文献类型：
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作者：
Michael Balszun;Clara Hobbs;Enrico Fraccaroli;Debayan Roy;F. Fummi;S. Chakraborty
本文研究了以下基本的柔性制造问题：给定N台机器，它们可以在一个生产项目上完成相同的工作（例如，钻孔或攻丝），但具有不同的能力（例如，能量需求和速度），这些机器上的工作的最佳调度是什么？虽然这是一个研究得很好的问题，但本文引入的主要创新是对潜在过程动力学的显式建模。，物体和机器的物理相互作用，使用微分方程。由此产生的调度问题是在混合系统设置中，涉及确定状态之间的过渡时间，其中每个状态下的系统演化由微分方程定义。据我们所知，这种以网络物理系统（CPS）为导向的机器调度方法以前从未被研究过，尽管它是工业4.0中柔性制造的核心。我们相信这个新的公式可能会导致对机器调度问题的新兴趣，但现在是在一个混合/ cps导向的设置。
This paper studies the following basic flexible manufacturing problem: Given N machines that can perform the same job on a production item (e.g., drilling or tapping) but with different capabilities (e.g., energy requirements and speeds), what is an optimal schedule for the job on these machines? While this is a well-studied problem, the main innovation this paper introduces is the explicit modeling of the underlying process dynamics—i.e., the physical interaction of the item and the machine—using differential equations. The resulting scheduling problem is in a hybrid systems setting that involves determining the transition times between states, where the system evolution in each state is defined by differential equations. To the best of our knowledge, such a cyber-physical systems (CPS) oriented approach to machine scheduling has not been studied before, although it lies at the core of flexible manufacturing in Industry 4.0. We believe that this new formulation might lead to a renewed interest in machine scheduling problems, but now in a hybrid/CPS-oriented setting.