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Conceptual Design of an Integrated Autonomous Production Control Model in association with a Prescriptive Maintenance Model (PriMa)

机译:集成自主生产控制模型与规范性维护模型(PriMa)的概念设计

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Autonomous production control models facilitate coping with co-occurrent and ever-growing production system complexity. The choice of the appropriate control model and objective function in manufacturing industry depends on several interrelated factors such as machine and process flexibility, plant availability, process stability, resource utilization, environmental and economic sustainability. Numerous theoretical models and approaches for autonomous production control have been proposed. Yet, it is hard to determine the effectiveness of efforts in real-life applications, due to neglecting or incomplete consideration of the aforementioned factors. This paper concentrates on the correlative relation between production planning and control (PPC) and maintenance planning. An integrated approach is presented that establishes the link between autonomous production control and prescriptive maintenance model (PriMa). Traditionally, PPC and maintenance planning are carried out apart from one another. In the light of PriMa, various aspects of data-driven maintenance planning and the missing link with autonomous production control are discussed. To this end, this paper presents a conceptual model, which encompasses three sub-systems, namely i) maintenance system, ii) autonomous production control system, and iii) production planning. The proposed model is intended to reduce planning complexity and at the same time achieve an improved plant availability and resource efficiency.
机译:自主的生产控制模型有助于应对并发且不断增长的生产系统复杂性。制造业中合适的控制模型和目标函数的选择取决于几个相互关联的因素,例如机器和过程的灵活性,工厂的可用性,过程的稳定性,资源利用,环境和经济的可持续性。已经提出了许多用于自主生产控制的理论模型和方法。然而,由于对上述因素的忽视或不完全考虑,很难确定在实际应用中的努力效果。本文着重于生产计划与控制(PPC)与维护计划之间的相关关系。提出了一种集成方法,该方法建立了自主生产控制与规范维护模型(PriMa)之间的链接。传统上,PPC和维护计划是彼此分开进行的。根据PriMa,讨论了数据驱动的维护计划的各个方面以及与自主生产控制的缺失环节。为此,本文提出了一个概念模型,该模型包含三个子系统,即i)维护系统,ii)自主生产控制系统和iii)生产计划。提出的模型旨在减少计划的复杂性,同时实现更高的工厂可用性和资源效率。

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