Analyzing Implementation for Digital Twins: Implications for a Process Model

For many companies, digital transformation is an important lever for adapting their work and business processes to constant change, keeping them up-to-date and reactive to changes in the global market. Digital twins are seen as a promising means of holistically transforming production systems and value chains, but despite their potential, there has been a lack of standardized implementation processes, often resulting in efficiency losses. Therefore, this paper aims to empirically identify process models for implementing digital twins through a structured literature review and derive implications for a standardized, widely applicable process model. The literature review is based on vom Brocke's methodology and focuses on scientific articles from the last years. Based on 211 identified publications, relevant papers were analyzed after applying defined exclusion criteria. The results provide fundamental insights into currently used process models and open perspectives for developing a standardized implementation framework for digital twins.