Deterministic Process Simulation

Deterministic Process Simulation is a type of process simulation that models system behavior using fixed input parameters and predefined rules to produce unique, repeatable outcomes without incorporating randomness or probabilistic variations.

17

Publications

707

Citations

43

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

43

  1. CW
    C.-X. Wang

    University of Agder, Norway

    2 publications · 28 citations

    2

    h-index

  2. MP
    Matthias Pätzold

    University of Agder, Norway

    2 publications · 28 citations

    2

    h-index

  3. AM
    Alexander Mitsos

    RWTH Aachen University, Germany

    1 publications · 55 citations

    1

    h-index

  4. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    1 publications · 89 citations

    1

    h-index

  5. PR
    Prisca R. Bauer

    University of Freiburg, Germany

    1 publications · 77 citations

    1

    h-index

1–5 of 43

Venues

  1. 1

    h-index

  2. Auditing A Journal of Practice & Theory

    AJPT · 1 publications · 89 citations

    1

    h-index

  3. IIE Transactions

    1 publications · 51 citations

    1

    h-index

  4. Journal of Environmental Engineering

    1 publications · 27 citations

    1

    h-index

  5. Combinatorics Probability Computing

    1 publications · 107 citations

    1

    h-index

1–5