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Simulation-based production scheduling with optimization of electricity consumption and cost in smart manufacturing systems

机译:基于模拟的生产计划,优化了智能制造系统中的耗电量和成本

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Due to the increasing awareness of environmental protection, the industrial sector is facing mounting pressure to reduce its energy consumption and carbon footprints. The application of energy management system for industrial plants is of high interests by industrial practitioners in their pursuit of high performance smart manufacturing systems. Many system integrators and solution providers have developed their own packages for energy management system for industrial plants. In this paper, we conduct a brief survey on the existing commercial packages of industrial energy management systems by different vendors. A future development direction regarding the functionality of decision-making of industrial energy management system is discussed and a method focusing on the decision-making of energy-integrated production scheduling is proposed. The performance metrics of energy consumption and cost as well as production throughput are modeled for operational performance optimization. A numerical case study of a real auto part manufacturing plant is presented to illustrate the benefits brought by the proposed method.
机译:由于环保意识的提高,工业部门面临越来越大的压力,要求减少其能源消耗和碳足迹。工业从业者在追求高性能智能制造系统时,对工业工厂中的能源管理系统的应用具有很高的兴趣。许多系统集成商和解决方案提供商已经开发了他们自己的工业工厂能源管理系统软件包。在本文中,我们对不同供应商提供的现有工业能源管理系统的商业软件包进行了简要调查。讨论了工业能源管理系统决策功能的未来发展方向,并提出了一种以能源综合生产调度决策为重点的方法。对能耗和成本以及生产吞吐量的性能指标进行了建模,以优化运营绩效。给出了一个真实的汽车零件制造厂的数值案例研究,以说明该方法带来的好处。

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