Abstract Engineering product family design and optimization in complex environments has been a major bottleneck in today’s industrial transformation towards smart manufacturing. Digital twin (DT), as a core part of cyber-physical system (CPS), can provide decision support to enhance engineering product lifecycle management workflows via remote monitoring and control, high-fidelity simulation, and solution generation functionalities. Although many studies have proven DT to be highly suited for industry needs, little has been reported on the product family design and optimization capabilities specifically with context awareness, which could be leaving many enterprises ambivalent on its adoption. To fill this gap, a reusable and transparent DT capable of situational recognition and self-correction is essentially required. This paper develops a generic DT architecture reference model to enable the context-aware product family design optimization process in a cost-effective manner. A case study featuring asset re-/configuration within a dynamic environment is further described to demonstrate its in-context decision-aiding capabilities. The authors hope this study can provide valuable insights to both academia and industry in improving their engineering product family management process.

中文翻译：

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用于工程产品族设计和优化的数字孪生增强系统

摘要 复杂环境下的工程产品族设计和优化一直是当今工业向智能制造转型的主要瓶颈。数字孪生 (DT) 作为信息物理系统 (CPS) 的核心部分，可以通过远程监控、高保真仿真和解决方案生成功能提供决策支持，以增强工程产品生命周期管理工作流。尽管许多研究证明 DT 非常适合行业需求，但很少有关于产品系列设计和优化功能的报道，特别是上下文感知，这可能使许多企业对其采用感到矛盾。为了填补这一空白，本质上需要一个能够进行情境识别和自我纠正的可重复使用且透明的 DT。本文开发了一个通用的 DT 架构参考模型，以经济高效的方式实现上下文感知产品系列设计优化过程。进一步描述了动态环境中资产重新/配置的案例研究，以展示其上下文决策辅助能力。作者希望这项研究能够为学术界和工业界改进其工程产品系列管理流程提供宝贵的见解。