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
84
1–5 of 84
231
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117
Arizona State University
Tempe, United States
3 h-index
7 publications
171 citations
Seoul National University
Seoul, South Korea
3 h-index
5 publications
126 citations
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
222 citations
University of Arizona
Tucson, United States
3 h-index
5 publications
116 citations

University of Central Florida
Orlando, United States
2 h-index
8 publications
240 citations
Jordan University of Science and Technology
Irbid, Jordan
2 h-index
2 publications
67 citations

University of Ulsan
Ulsan, South Korea
2 h-index
2 publications
51 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
247 citations
1–8 of 117
4 publications · 114 citations
4
h-index
JSS · 3 publications · 189 citations
3
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3 publications · 95 citations
3
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3 publications · 71 citations
3
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2 publications · 85 citations
2
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1–5