Led by the manufacturing industry, virtual replicas of production systems also known as digital twins (DTs) are gradually moving into all areas of industry. Their advantages are characterized by the possibility of product optimization, simulations, improved monitoring and prediction of downtimes and optimized maintenance, to name just a few. The engineering, procurement and construction (EPC) of process plants as mechatronic systems is characterized by a high degree of project-specific modifications and interdisciplinary engineering effort with low reusability, in contrast to unit-production-driven areas such as automotive. This results in a high cost-benefit ratio for the creation of DTs over the life cycle of process plants, especially when suppliers are integrated into the value chain. The objective of this paper is to analyze the state of plant lifecycle management, data exchange and the possibilities of optimized supplier integration during the planning and EPC of process plants regarding DT creation and usage. Three research questions (RQs) were used to narrow down a total of 356 identified publications to 54, which were then examined. The papers covered a variety of topics, including combining discipline-specific models, plant management approaches and the combination of both.

中文翻译：

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作为复杂系统的过程工厂的数据管理：系统文献综述以及挑战和机遇的识别

在制造业的引领下，生产系统的虚拟复制品，即数字孪生（DT），正逐渐渗透到工业的各个领域。它们的优势在于可以进行产品优化、模拟、改进的停机时间监控和预测以及优化维护等等。与汽车等单元生产驱动的领域相比，作为机电一体化系统的过程工厂的工程、采购和施工 (EPC) 的特点是高度的项目特定修改和跨学科工程工作，可重用性较低。这使得在过程工厂的整个生命周期中创建数字技术具有很高的成本效益比，特别是当供应商融入价值链时。本文的目的是分析工厂生命周期管理、数据交换的状态以及在有关 DT 创建和使用的流程工厂规划和 EPC 期间优化供应商集成的可能性。使用三个研究问题 (RQ) 将总共 356 篇已确定的出版物缩小到 54 篇，然后对这些出版物进行了检查。这些论文涵盖了各种主题，包括结合特定学科模型、工厂管理方法以及两者的结合。