Cutting Sequence Optimization

Cutting Sequence Optimization is a computational method that determines the most efficient order of tree felling operations to minimize safety risks, environmental impact, and operational costs while maximizing productivity within forest harvesting planning.

45

Publications

2.2K

Citations

135

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

135

  1. PH
    Patrick H. Madden

    Binghamton University, United States

    2 publications · 91 citations

    2

    h-index

  2. XJ
    Xingji Jin

    Northeast Forestry University, China

    2 publications · 34 citations

    2

    h-index

  3. TP
    Timo Pukkala

    University of Eastern Finland, Finland

    2 publications · 34 citations

    2

    h-index

  4. FL
    Fengri Li

    Northeast Forestry University, China

    2 publications · 34 citations

    2

    h-index

  5. WK
    Wai Keung Wong

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 97 citations

    2

    h-index

1–5 of 135

Venues

  1. European Journal of Operational Research

    6 publications · 239 citations

    6

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. International Journal of Production Research

    2 publications · 35 citations

    2

    h-index

  5. Journal of Cleaner Production

    2 publications · 146 citations

    2

    h-index

1–5