Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 58, Issue -, Pages 270-280Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2020.07.023
Keywords
Digital twin; Customisation; Smart manufacturing; Personalisation; Product Service system
Categories
Funding
- Beijing National Science Foundation [JQ19011]
Ask authors/readers for more resources
Big data plays a crucial role in smart customisation, and the integration of physical and virtual entities through digital twin technology enhances responsiveness and predictability in the customisation process.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available