Multi-period Inventory Models

Multi-Period Inventory Models is a class of dynamic inventory control models that determine optimal ordering policies over a finite or infinite sequence of time periods by balancing holding, ordering, and shortage costs while accounting for demand uncertainty and system state transitions across periods.

471

Publications

30K

Citations

818

Authors

430

Institutions

Publications per year

2017–2026

94

Authors

818

  1. SS
    Suresh Sethi

    The University of Texas at Dallas, United States

    9 publications · 553 citations

    9

    h-index

  2. AK
    Asoke Kumar Bhunia

    University of Burdwan, India

    9 publications · 489 citations

    9

    h-index

  3. JS
    Joaquı́n Sicilia

    Universidad de La Laguna, Spain

    6 publications · 251 citations

    7

    h-index

  4. LA
    Luis A. San-José

    Universidad de Valladolid, Spain

    6 publications · 251 citations

    7

    h-index

  5. KC
    Kun‐Jen Chung

    National Taiwan University of Science and Technology, Taiwan

    7 publications · 497 citations

    7

    h-index

1–5 of 818

Venues

  1. Operations Research

    44 publications · 4.3K citations

    30

    h-index

  2. International Journal of Production Economics

    43 publications · 2.9K citations

    29

    h-index

  3. European Journal of Operational Research

    38 publications · 2.3K citations

    28

    h-index

  4. Management Science

    34 publications · 7.9K citations

    27

    h-index

  5. Journal of the Operational Research Society

    OR · 31 publications · 2.1K citations

    23

    h-index

1–5