Customer Arrival Modeling

Customer Arrival Modeling is a stochastic analytical framework that characterizes the temporal patterns and statistical properties of customer-initiated service requests within a service system, distinguishing it from other demand modeling approaches by its focus on the timing, distribution, and predictability of customer entry events.

119

Publications

6.4K

Citations

270

Authors

150

Institutions

Publications per year

2017–2026

33

Authors

270

  1. PL
    Pierre L’Ecuyer

    Université de Montréal, Canada

    4 publications · 434 citations

    4

    h-index

  2. LD
    Laurens Debo

    Dartmouth College, United States

    3 publications · 226 citations

    3

    h-index

  3. RS
    Refik Soyer

    George Washington University, United States

    3 publications · 114 citations

    3

    h-index

  4. TA
    Tevfik Aktekin

    University of New Hampshire, United States

    2 publications · 68 citations

    2

    h-index

  5. RW
    Rowan Wang

    University of Minnesota, United States

    2 publications · 35 citations

    2

    h-index

1–5 of 270

Venues

  1. European Journal of Operational Research

    10 publications · 461 citations

    10

    h-index

  2. Management Science

    7 publications · 412 citations

    7

    h-index

  3. Manufacturing & Service Operations Management

    6 publications · 736 citations

    6

    h-index

  4. Operations Research

    5 publications · 309 citations

    5

    h-index

  5. Transportation Science

    5 publications · 270 citations

    5

    h-index

1–5