Generative Process Planning
Generative Process Planning is a computer-aided manufacturing methodology that autonomously creates detailed process plans from scratch based on product design and available resource data, distinguishing itself from variant approaches by synthesizing new sequences rather than retrieving or modifying existing ones.
33
Publications
1.4K
Citations
77
Authors
30
Institutions
Publications per year
2017–2026
4
Variants
Generative CappGenerative Computer-aided Process Planning
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30
Purdue University West Lafayette
West Lafayette, United States
3 h-index
4 publications
95 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
65 citations

Bocconi University
Milan, Italy
2 h-index
4 publications
256 citations

University of Twente
Enschede, The Netherlands
2 h-index
4 publications
162 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
95 citations
Virginia Tech
Blacksburg, United States
2 h-index
3 publications
69 citations
Indian Institute of Technology BHU
Varanasi, India
2 h-index
3 publications
64 citations
KU Leuven
Leuven, Belgium
1 h-index
3 publications
33 citations
1–8 of 30
7 publications · 587 citations
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3 publications · 122 citations
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2 publications · 81 citations
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2 publications · 91 citations
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2 publications · 44 citations
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1–5