Stochastic Multi-objective Scheduling
Stochastic Multi-Objective Scheduling is a scheduling paradigm within multi-objective optimization that specifically addresses decision-making under uncertainty, where multiple conflicting objectives are optimized simultaneously and at least one scheduling parameter—such as processing times, arrivals, or resource availability—is modeled as a random variable.
142
Publications
7.7K
Citations
467
Authors
234
Institutions
Publications per year
2017–2026
93
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Yaping Fu, Guangdong Tian, Amir M. Fathollahi‐Fard et al. · Journal of Cleaner Production · 2019 · 186 citations
Management, Industrial Engineering, Operations Management +16
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Macau University of Science and Technology, Macao SAR China
4 publications · 251 citations
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234

Iran University of Science and Technology
Tehran, Iran
8 h-index
19 publications
2.3K citations

Qingdao University
Qingdao, China
7 h-index
10 publications
751 citations

University of Salerno
Fisciano, Italy
5 h-index
5 publications
625 citations

North China Electric Power University
Beijing, China
5 h-index
22 publications
1.3K citations

University of Tehran
Tehran, Iran
5 h-index
13 publications
518 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
4 publications
336 citations
Tsinghua University
Beijing, China
4 h-index
13 publications
748 citations

Northeastern University
Shenyang, China
4 h-index
10 publications
359 citations
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10 publications · 758 citations
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8 publications · 332 citations
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8 publications · 496 citations
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7 publications · 445 citations
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