Stochastic Process Flexibility is a modeling framework that enables the dynamic adaptation of process structures in response to uncertain operational conditions by incorporating probabilistic variations in process outcomes, resource availability, and demand patterns.
4
Publications
279
Citations
9
Authors
6
Institutions
Publications per year
2017–2026
0
Parents
Publications
4
1–5 of 4
Authors
9
- EN
2
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- DS
1
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- TA
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- EP
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- VB
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1–5 of 9
Institutions
6
Imperial College London
London, United Kingdom
2 h-index
5 publications
274 citations
Shell (Netherlands)
The Hague, The Netherlands
1 h-index
2 publications
322 citations
Decision Sciences (United States)
Fort Walton Beach, United States
1 h-index
1 publications
16 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
1 publications
16 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
16 citations
Duke University
Durham, United States
1 h-index
1 publications
16 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 publications
19 citations
New York University
New York, United States
1 publications
19 citations
1–8 of 6
Venues
- AIChE Journal
1 publications · 70 citations
1
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- Operations Research Letters
1 publications · 16 citations
1
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- Computers & Chemical Engineering
1 publications · 161 citations
1
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- Industrial & Engineering Chemistry Research
1 publications · 32 citations
1
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- SSRN Electronic Journal
Repository · 1 publications · 19 citations
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