Stochastic Replacement Models
Stochastic Replacement Models is a mathematical framework within replacement decision theory that incorporates random variables and probabilistic outcomes to model the optimal timing and conditions for replacing systems or components under uncertainty.
252
Publications
12.6K
Citations
316
Authors
211
Institutions
Publications per year
2017–2026
32
Parents
252
Richard Bellman · Indiana University Mathematics Journal · 1957 · 2.4K citations
A note on the optimal replacement problem
Lam Yeh · Advances in Applied Probability · 1988 · 309 citations · Full text
Engineering, Industrial Engineering, Operations Management +16
Geometric processes and replacement problem
Lin Ye · Acta Mathematicae Applicatae Sinica English Series · 1988 · 298 citations
Engineering, Mathematics, Geometry +10
1–5 of 252
316
18
h-index
National Taiwan University of Science and Technology, Taiwan
21 publications · 669 citations
17
h-index
8
h-index
6
h-index
6
h-index
1–5 of 316
211

Aichi Institute of Technology
Toyota, Japan
14 h-index
20 publications
871 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
13 h-index
25 publications
699 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
8 h-index
8 publications
785 citations
Providence University
Taichung, Taiwan
8 h-index
14 publications
308 citations
University of Haifa
Haifa, Israel
7 h-index
7 publications
217 citations
University of Pittsburgh
Pittsburgh, United States
7 h-index
14 publications
626 citations

Meijo University
Nagoya, Japan
6 h-index
6 publications
327 citations

National Taichung University of Science and Technology
Taichung, Taiwan
6 h-index
6 publications
138 citations
1–8 of 211
JAP · 26 publications · 942 citations
20
h-index
25 publications · 909 citations
18
h-index
14 publications · 1.3K citations
14
h-index
14 publications · 723 citations
14
h-index
13 publications · 522 citations
12
h-index
1–5