Simulation-based Process Planning

Simulation-Based Process Planning is a process planning methodology that integrates dynamic simulation techniques to model, analyze, and optimize manufacturing operations under realistic constraints and variability, distinguishing it from conventional planning approaches by enabling predictive assessment of process performance prior to implementation.

84

Publications

2.5K

Citations

231

Authors

117

Institutions

Publications per year

2017–2026

17

Authors

231

  1. YS
    Young‐Jun Son

    University of Arizona, United States

    3 publications · 68 citations

    3

    h-index

  2. AH
    A.M.S. Hamouda

    Qatar University, Qatar

    2 publications · 112 citations

    2

    h-index

  3. JG
    Jong Gye Shin

    Seoul National University, South Korea

    2 publications · 37 citations

    2

    h-index

  4. JS
    José Sepúlveda

    University of Central Florida, United States

    2 publications · 60 citations

    2

    h-index

  5. FM
    Farayi Musharavati

    Qatar University, Qatar

    2 publications · 112 citations

    2

    h-index

1–5 of 231

Venues

  1. Computers & Chemical Engineering

    4 publications · 114 citations

    4

    h-index

  2. Journal of Systems and Software

    JSS · 3 publications · 189 citations

    3

    h-index

  3. 3

    h-index

  4. European Journal of Operational Research

    3 publications · 71 citations

    3

    h-index

  5. CIRP Annals

    2 publications · 85 citations

    2

    h-index

1–5