Customer Sojourn Time Approximation

Customer Sojourn Time Approximation is a stochastic performance metric in queueing theory that characterizes the distributional approximation of the total time a customer spends in a service system under heavy-traffic conditions, distinguishing itself by focusing on the transient behavior of individual customers in asymptotic regimes.

19

Publications

480

Citations

33

Authors

27

Institutions

Publications per year

2017–2026

1

Authors

33

  1. LO
    L. Opta

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 26 citations

    2

    h-index

  2. OF
    Ondřej Fischer

    Czech Academy of Sciences, Institute of Theoretical and Applied Mechanics, Czechia

    2 publications · 26 citations

    2

    h-index

  3. MP
    Martin Paterok

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 26 citations

    2

    h-index

  4. FJ
    Frederick J. Beutler

    University of Michigan, United States

    1 publications · 15 citations

    1

    h-index

  5. KK
    K. Krishnan

    Core Competence, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 33

Venues

  1. Operations Research

    2 publications · 49 citations

    2

    h-index

  2. IEEE Transactions on Computers

    1 publications · 14 citations

    1

    h-index

  3. Management Science

    1 publications · 70 citations

    1

    h-index

  4. Journal of the ACM

    JACM · 1 publications · 21 citations

    1

    h-index

  5. Annals of Operations Research

    1 publications · 11 citations

    1

    h-index

1–5