Human-Aided Process Planning is a process planning approach within manufacturing systems engineering in which human expertise and judgment are systematically integrated into the planning workflow to supplement computational methods, enabling the refinement, validation, and optimization of manufacturing processes based on experiential knowledge and contextual insights.
6
Publications
212
Citations
12
Authors
6
Institutions
Publications per year
2017–2026
0
Publications
6
1–5 of 6
Authors
12
- JK
1
h-index
- AF
1
h-index
- FC
1
h-index
- JG
1
h-index
- CC
1
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1–5 of 12
Institutions
6
National Academies of Sciences, Engineering, and Medicine
Washington, United States
1 h-index
2 publications
22 citations
Clarkson University
Potsdam, United States
1 h-index
2 publications
20 citations
Hungarian National Bank
Budapest, Hungary
1 h-index
2 publications
32 citations
Kazimierz Wielki University in Bydgoszcz
Bydgoszcz, Poland
1 h-index
1 publications
53 citations
Stevens Institute of Technology
Hoboken, United States
1 h-index
2 publications
194 citations
National Research Council Canada
Ottawa, Canada
1 h-index
2 publications
22 citations
1–6 of 6
Venues
- Artificial intelligence for engineering design analysis and manufacturing
AIEDAM · 2 publications · 64 citations
2
h-index
- Computers in Industry
1 publications · 97 citations
1
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- International Journal of Production Research
1 publications · 25 citations
1
h-index
- The International Journal of Advanced Manufacturing Technology
1 publications · 10 citations
1
h-index
1–4