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About A Literature Review and Future Perspectives On Maintenance Optimization (2011) Alternative 1
This document summarizes a literature review on maintenance optimization models. It classifies published literature on different optimization techniques used in maintenance models, including analytical hierarchy process, Bayesian approach, Galbraith information processing model, and genetic algorithms. Emerging trends show a shift toward using simulation for maintenance optimization. The review identifies gaps in literature classifying optimization models and case studies. It outlines directions for future research on maintenance optimization.
Detailed Information
| Author: | ['tomo tomo'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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