Special Theme on Digital Twin Evolution

Call for Papers

Guest Editors

  • Mark van den Brand
    TU Eindhoven, NL
  • Loek Cleophas
    TU Eindhoven, NL
    Stellenbosch University, ZA
  • Judith Michael
    RWTH Aachen University, DE
  • Andreas Wortmann
    University of Stuttgart, DE

Important Dates

  • Intent to submit Oct 9th, 2023
  • Submission deadline Nov 1st, 2023
  • Notification end of Feb 2023

Digital twins are increasingly being leveraged within research and industrial sectors to oversee and regulate cyber-physical systems (CPSs) across a multitude of domains—spanning from autonomous driving and biology to medicine and smart manufacturing. These computational counterparts of CPSs offer substantial capabilities, mitigating development expenses and timelines, refining operational pro- cesses, and providing profound insights into the underlying systems they mirror. The applications of digital twins are as multifaceted and varied as their purposes, including but not limited to system analysis, control, and predictive behavior. Their utilization is not confined to a specific time span relative to the physical system; they can be employed pre-implementation to explore potential design avenues or during system operation in sync with the physical system to optimize its performance. In essence, digital twins serve as flexible, versatile, and dynamic tools for system exploration, optimization, and management, offering boundless potential for efficient system development and enhanced understanding across their complete lifespan.

Considering the lifespan of a physical system, e.g., app. 20 years for an injection molding machine, 50 years for a bridge, and 100 years for a dam. Clearly, these systems and their surrounding context will change. This requires their digital twin to evolve in accordance with this system and context evolution. Evolution is relevant in different life cycle phases of a system:

  1. the experimental nature of the original system, e.g., when simulating properties and changing configurations and design models, is constantly affecting the digital twin as-designed and requiring changes to it;
  2. from as-designed to as-operated, i.e., for twins (often idealized) representing a specific kind of system to a digital twin representing a very specific instance of that type;
  3. from as-operated to as-maintained, i.e., by adjusting the digital twin to match the changing properties of its physical twin (e.g., due to wear and tear), continuously throughout its lifespan.

Aims and Topics

This Special Issue of the Journal of Object Technology aims to provide a platform for Digital Twin researchers and practitioners to report novel results, evidence of successful application, and to present roadmaps for the evolution of Digital Twins. Therefore, the Journal of Object Technology invites original, high-quality submissions for its Special Issue on Digital Twin Evolution. Articles describing any aspect of evolution for and with Digital Twins are in scope. We particularly encourage submissions addressing:



Please send all correspondence concerning the Special Theme (intent to submit, paper submissions, queries etc.) to jot2023dtevolution@easychair.org.

The JOT Journal   |   ISSN 1660-1769   |   DOI 10.5381/jot   |   AITO   |   Open Access   |    Contact