Robust Maintenance Optimization
Robust Maintenance Optimization is a maintenance optimization approach that systematically incorporates uncertainty and variability in system degradation, operational conditions, and model parameters to yield maintenance policies that remain effective and stable under a wide range of foreseeable disturbances and modeling inaccuracies.
21
Publications
565
Citations
58
Authors
43
Institutions
Publications per year
2017–2026
17
Parents
21
Mahyar Alimian, Mohammad Saidi‐Mehrabad, Armin Jabbarzadeh · Journal of Manufacturing Systems · 2019 · 43 citations
Engineering, Manufacturing Engineering, Systems Engineering +17
1–5 of 21
58
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1–5 of 58
43

Delft University of Technology
Delft, The Netherlands
2 h-index
4 publications
144 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
56 citations
Mazandaran University of Science and Technology
Babol, Iran
2 h-index
2 publications
77 citations
Dalhousie University
Halifax, Canada
2 h-index
7 publications
105 citations

Iran University of Science and Technology
Tehran, Iran
2 h-index
4 publications
145 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
5 publications
149 citations

Hang Seng University of Hong Kong
Shatin, Hong Kong
2 h-index
2 publications
56 citations

Shomal University
Āmol, Iran
1 h-index
1 publications
18 citations
1–8 of 43
2 publications · 33 citations
2
h-index
1 publications · 11 citations
1
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1 publications · 18 citations
1
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1 publications · 22 citations
1
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1 publications · 43 citations
1
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1–5