Forecasting Intermittent Demand

Forecasting Intermittent Demand is a predictive modeling approach in inventory management that specifically addresses the challenge of estimating future demand for spare parts characterized by irregular, infrequent, and unpredictable occurrence patterns.

89

Publications

8.7K

Citations

166

Authors

98

Institutions

Publications per year

2017–2026

32

Authors

166

  1. JE
    John E. Boylan

    Buckinghamshire New University, United Kingdom

    14 publications · 1.7K citations

    12

    h-index

  2. MZ
    M. Zied Babaï

    Kedge Business School, France

    8 publications · 700 citations

    8

    h-index

  3. AS
    Aris Syntetos

    Cardiff University, United Kingdom

    8 publications · 1.3K citations

    8

    h-index

  4. FP
    Fotios Petropoulos

    University of Bath, United Kingdom

    7 publications · 434 citations

    7

    h-index

  5. NK
    Nikolaos Kourentzes

    Lancaster University, United Kingdom

    5 publications · 539 citations

    5

    h-index

1–5 of 166

Venues

  1. International Journal of Production Economics

    17 publications · 1.6K citations

    17

    h-index

  2. International Journal of Forecasting

    9 publications · 2.4K citations

    9

    h-index

  3. Journal of the Operational Research Society

    OR · 9 publications · 1.7K citations

    9

    h-index

  4. European Journal of Operational Research

    7 publications · 538 citations

    7

    h-index

  5. International Journal of Production Research

    4 publications · 183 citations

    4

    h-index

1–5