Concepedia

Digital Process Twins

Digital Process Twin is a dynamic, digital representation of a physical business process that enables real-time monitoring, simulation, and optimization by integrating data from sensors, systems, and business operations to mirror and analyze process behavior throughout its lifecycle.

19

Publications

707

Citations

74

Authors

35

Institutions

Publications per year

2017–2026

19

Variants

Digital Process Twin

Parents

Publications

19

Conceptualisation of a 7-element digital twin framework in supply chain and operations management

Dmitry Ivanov · International Journal of Production Research · 2023 · 165 citations

, , +17

A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line

Matteo Perno, Lars Hvam, Anders Haug · Computers in Industry · 2023 · 58 citations · Full text

, , +17

Digital twins for cutting processes

Thomas Bergs, Dirk Biermann, Kaan Erkorkmaz et al. · CIRP Annals · 2023 · 56 citations

, , +12

Digital twin of a continuous direct compression line for drug product and process design using a hybrid flowsheet modelling approach

Marta Moreno-Benito, Kai T. Lee, Denis Kaydanov et al. · International Journal of Pharmaceutics · 2022 · 53 citations

, , +17

From data to value in smart waste management: Optimizing solid waste collection with a digital twin-based decision support system

Linard Barth, Lukas Schweiger, Rodolfo Benedech et al. · Decision Analytics Journal · 2023 · 52 citations · Full text

, , +17

1–5 of 19

Authors

74

  1. SS
    Seppo Sierla

    Aalto University, Finland

    3 publications · 57 citations

    3

    h-index

  2. MA
    Mohammad Azangoo

    Aalto University, Finland

    3 publications · 57 citations

    3

    h-index

  3. EW
    Eric Wenkler

    Technische Universität Dresden, Germany

    2 publications · 60 citations

    2

    h-index

  4. VV
    Valeriy Vyatkin

    Luleå University of Technology, Sweden

    2 publications · 41 citations

    2

    h-index

  5. LS
    Lotta Sorsamäki

    VTT Technical Research Centre of Finland, Finland

    2 publications · 45 citations

    2

    h-index

1–5 of 74

Institutions

35

  1. Aalto University

    Espoo, Finland

    3 h-index

    9 publications

    171 citations

  2. Luleå University of Technology

    Luleå, Sweden

    2 h-index

    2 publications

    41 citations

  3. Fraunhofer Institute for Production Technology IPT

    Aachen, Germany

    2 h-index

    2 publications

    69 citations

  4. Technische Universität Dresden

    Dresden, Germany

    2 h-index

    7 publications

    195 citations

  5. VTT Technical Research Centre of Finland

    Espoo, Finland

    2 h-index

    5 publications

    106 citations

  6. RWTH Aachen University

    Aachen, Germany

    2 h-index

    5 publications

    108 citations

  7. Fortum (Finland)

    Espoo, Finland

    2 h-index

    2 publications

    45 citations

  8. University of Michigan

    Ann Arbor, United States

    2 h-index

    6 publications

    236 citations

1–8 of 35

Venues

  1. Procedia CIRP

    3 publications · 47 citations

    3

    h-index

  2. IEEE Access

    2 publications · 52 citations

    2

    h-index

  3. International Journal of Production Research

    1 publications · 165 citations

    1

    h-index

  4. 1

    h-index

  5. MM Science Journal

    1 publications · 25 citations

    1

    h-index

1–5