Scheduling Under Uncertainty
Scheduling Under Uncertainty is a scheduling framework within operations research and systems engineering that integrates probabilistic or scenario-based models to accommodate unpredictable variations in task durations, resource availability, or environmental conditions, thereby distinguishing it from deterministic scheduling approaches by explicitly addressing indeterminacy in the planning process.
688
Publications
36.3K
Citations
1.8K
Authors
726
Institutions
Publications per year
2017–2026
246
688
Scheduling: Theory, Algorithms, and Systems
Michael Pinedo · IIE Transactions · 1996 · 6.3K citations
1–5 of 688
1.8K
Rutgers, The State University of New Jersey, United States
10 publications · 999 citations
10
h-index
9
h-index
9
h-index
6
h-index
6
h-index
1–5 of 1.8K
726
Tsinghua University
Beijing, China
17 h-index
42 publications
1.9K citations
Tongji University
Shanghai, China
14 h-index
30 publications
886 citations
KU Leuven
Leuven, Belgium
14 h-index
29 publications
4.1K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
38 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
36 publications
1K citations
Purdue University West Lafayette
West Lafayette, United States
11 h-index
23 publications
1K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
26 publications
760 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
11 h-index
20 publications
2.2K citations
1–8 of 726
34 publications · 1.3K citations
25
h-index
23 publications · 1.9K citations
20
h-index
24 publications · 2K citations
19
h-index
18 publications · 585 citations
16
h-index
18 publications · 918 citations
15
h-index
1–5