Unconstraining Demand

Unconstraining Demand is a demand forecasting method that estimates the true underlying demand by adjusting observed sales data for the effects of capacity constraints and booking limits in revenue management systems.

2

Publications

166

Citations

6

Authors

6

Institutions

Publications per year

2017–2026

0

Variants

Demand Unconstraining

Authors

6

  1. LW
    Larry Weatherford

    University of Wyoming, United States

    1 publications · 91 citations

    1

    h-index

  2. MF
    Mark Ferguson

    Georgia Institute of Technology, United States

    1 publications · 75 citations

    1

    h-index

  3. CQ
    Carrie Queenan

    University of Notre Dame, United States

    1 publications · 75 citations

    1

    h-index

  4. RK
    Rohit Kapoor

    University of California, Los Angeles, United States

    1 publications · 75 citations

    1

    h-index

  5. SP
    Stefan Pölt

    Seattle University, United States

    1 publications · 91 citations

    1

    h-index

1–5 of 6

Venues

  1. Journal of Revenue and Pricing Management

    1 publications · 91 citations

    1

    h-index

  2. Production and Operations Management

    POMS · 1 publications · 75 citations

    1

    h-index

  3. European Journal of Operational Research

    1 publications · 10 citations

1–3