On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model

Ondřej Benedikt, P. Šůcha, Z. Hanzálek
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引用次数: 2

Abstract

This paper, inspired by a real production process of steel hardening, investigates a scheduling problem to minimize the idle energy consumption of machines. The energy minimization is achieved by switching a machine to some power-saving mode when it is idle. For the steel hardening process, the mode of the machine (i.e., furnace) can be associated with its inner temperature. Contrary to the recent methods, which consider only a small number of machine modes, the temperature in the furnace can be changed continuously, and so an infinite number of the power-saving modes must be considered to achieve the highest possible savings. To model the machine modes efficiently, we use the concept of the energy function, which was originally introduced in the domain of embedded systems but has yet to take roots in the domain of production research. The energy function is illustrated with several application examples from the literature. Afterward, it is integrated into a mathematical model of a scheduling problem with parallel identical machines and jobs characterized by release times, deadlines, and processing times. Numerical experiments show that the proposed model outperforms a reference model adapted from the literature.
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生产中闲置能耗最小化:工业实例与数学模型
本文以钢的实际淬火生产过程为灵感,研究了使机器闲置能耗最小化的调度问题。能量最小化是通过在机器空闲时切换到某种节能模式来实现的。对于钢的硬化过程,机器(即炉)的模式可以与其内部温度相关联。与最近只考虑少量机器模式的方法相反,炉内的温度可以连续改变,因此必须考虑无限数量的节能模式,以实现尽可能高的节能。为了有效地对机器模式建模,我们使用了能量函数的概念,该概念最初是在嵌入式系统领域引入的,但尚未在生产研究领域扎根。用文献中的几个应用实例说明了能量函数。然后,将其集成到一个调度问题的数学模型中,该问题具有以发布时间、截止日期和处理时间为特征的并行相同机器和作业。数值实验表明,本文提出的模型优于文献中的参考模型。
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