Abstract Big data is one of the most important resources for the promotion of smart customisation. With access to data from multiple sources, manufacturers can provide on-demand and customised products. However, existing research of smart customisation has focused on data generated from the physical world, not virtual models. As physical data is constrained by what has already occurred, it is limited in the identification of new areas to improve customer satisfaction. A new technology called digital twin aims to achieve this integration of physical and virtual entities. Incorporation of digital twin into the paradigm of existing data-driven smart customisation will make the process more responsive, adaptable and predictive. This paper presents a new framework of data-driven smart customisation augmented by digital twin. The new framework aims to facilitate improved collaboration of all stakeholders in the customisation process. A case study of the elevator industry illustrates the efficacy of the proposed framework.

中文翻译：

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通过数字孪生实现数据驱动的智能定制新范式

摘要 大数据是推动智能定制最重要的资源之一。通过访问来自多个来源的数据，制造商可以提供按需和定制的产品。然而，现有的智能定制研究侧重于从物理世界生成的数据，而不是虚拟模型。由于物理数据受到已经发生的事情的限制，因此在识别新领域以提高客户满意度方面受到限制。一种称为数字孪生的新技术旨在实现物理和虚拟实体的这种集成。将数字孪生纳入现有数据驱动的智能定制范式，将使流程更具响应性、适应性和预测性。本文提出了一种由数字孪生增强的数据驱动的智能定制的新框架。新框架旨在促进所有利益相关者在定制过程中的改进协作。电梯行业的一个案例研究说明了所提议框架的有效性。