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Energy Reduction in a Pallet-Constrained Flow Shop Through On–Off Control of Idle Machines

机译:通过空转机的开/关控制,在托盘受限的流水车间中降低能耗

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For flexible manufacturing systems, there are normally some durations in which a number of machines are idle and do not process any parts. Devising a control policy to turn off the idle machines and reduce their level of energy consumption is a significant contribution towards the green manufacturing paradigm. This paper addresses the design of such a control strategy for a closed-loop flow shop plant based on a one-loop pallet system. The main goal is to coordinate running of the machines and motion of pallets to gain the minimal energy consumption in idle machines, as well as to obtain the desired throughput for the plant. To fulfill this goal, first mathematical conditions, which economically characterize the on-off control for machines, are presented. Constrained to these conditions and the mathematical models describing the pallet system, a mixed integer nonlinear minimization problem with the energy monitor as the objective function is then developed. Provided that the problem computation time can be managed, the optimal control for the operation of the plant and the minimal energy consumption in the idle machines are computed. To deal with the time complexity, a linearized form of the model and a heuristic approach are introduced. These methods are applied to some examples of industrial size, and their impacts in practice are discussed and verified by using a discrete event simulation tool.
机译:对于灵活的制造系统,通常会有一定的持续时间,其中许多机器处于闲置状态,并且不处理任何零件。制定控制策略以关闭闲置的机器并降低其能耗水平,对绿色制造范例做出了重大贡献。本文针对基于单回路托盘系统的闭环流水车间设备的这种控制策略进行了设计。主要目标是协调机器的运行和托盘的运动,以在闲置的机器中获得最低的能耗,并为工厂获得所需的吞吐量。为了实现这个目标,提出了经济上表征机器的开-关控制的第一数学条件。受这些条件和描述货盘系统的数学模型的约束,然后开发了一个以能量监测器为目标函数的混合整数非线性最小化问题。假设可以管理问题的计算时间,则可以计算出工厂运行的最佳控制和闲置机器中的最小能耗。为了处理时间复杂度,引入了模型的线性化形式和启发式方法。这些方法已应用于一些工业规模的示例,并通过使用离散事件模拟工具讨论并验证了它们在实践中的影响。

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