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Energy-saving policies for temperature-controlled production systems with state-dependent setup times and costs

机译:具有国家依赖的设置时间和成本的温度控制生产系统的节能政策

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There are numerous practical examples of production systems with servers that require heating in order to process jobs. Such production systems may realize considerable energy savings by temporarily switching off the heater and building up a queue of jobs to be processed later, at the expense of extra queueing costs. In this paper, we optimize this trade-off between energy and queueing costs. We model the production system as an M/G/1 queue with a temperature controlled server that can only process jobs if a minimum production temperature is satisfied. The time and energy required to heat a server depend on its current temperature, hence the setup times and setup costs for starting production are state dependent. We derive the optimal policy structure for a fluid queue approximation, called a wait-heat clear policy. Building upon these insights, for the M/G/1 queue we derive exact and approximate costs for various intuitive types of wait-heat-clear policies. Numerical results indicate that the optimal wait-heat-clear policy yields average cost savings of over 40% compared to always keeping the server at the minimum production temperature. Furthermore, an encouraging result for practice is that simple heuristics, depending on the queue length only, have near-optimal performance. (C) 2020 Elsevier B.V. All rights reserved.
机译:有许多实用的生产系统的实际例子,需要加热的服务器才能处理作业。这种生产系统可以通过临时关闭加热器并延续地处理额外的作业的队列来实现相当大的节能,以额外的排队成本。在本文中,我们优化了能源和排队成本之间的这种权衡。我们将生产系统塑造为M / G / 1队列,其中温控服务器只能在满足最小生产温度,只能处理作业。加热服务器所需的时间和精力取决于其当前温度,因此启动生产的设置时间和设置成本是依赖于状态。我们导出了流体队列近似的最佳策略结构,称为等待热清除策略。建立这些见解,对于M / G / 1队列,我们​​可以获得各种直观类型的等待清晰策略的精确和近似成本。数字结果表明,与始终保持服务器在最低生产温度下,最佳等待清晰度政策会产生超过40%的平均成本节省超过40%。此外,练习的令人鼓舞的结果是简单的启发式,取决于队列长度,具有近最佳性能。 (c)2020 Elsevier B.v.保留所有权利。

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