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Logistic optimization with Monte Carlo based system models
Arie Dubi
Unit of Nuclear Engineering
Research output
:
Contribution to conference
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Paper
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peer-review
1
Scopus citations
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Dive into the research topics of 'Logistic optimization with Monte Carlo based system models'. Together they form a unique fingerprint.
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Keyphrases
Monte Carlo
100%
Monte Carlo Calculation
100%
Logistics Optimization
100%
Search Methods
50%
Spare Parts
50%
Logistic Parameter
50%
Repair Crews
50%
Line Replaceable Units
50%
Aging
25%
Hybrid Method
25%
Logistic Model
25%
Analytical Approximation
25%
Monte Carlo Model
25%
Analytic Method
25%
Design Model
25%
Simple Function
25%
Search Mechanism
25%
Multidimensional Space
25%
Practical Algorithm
25%
Worked-out Examples
25%
Position number
25%
Reliable Design
25%
Availability Performance
25%
Bulk Parameters
25%
New Theorems
25%
Repair Equipment
25%
Maintenance Equipment
25%
Diagnostic Sites
25%
Engineering
Model System
100%
Search Method
100%
Spare Part
100%
Repair Site
100%
Line Replaceable Unit
100%
Hybrid Approach
50%
Simple Function
50%
Location Number
50%
Design Model
50%
Industrial Complex
50%
Search Mechanism
50%
Production Availability
50%
Computer Science
Line Replaceable Unit
100%
Approximation (Algorithm)
50%
Requires Optimization
50%
Hybrid Approach
50%
Multidimensional Space
50%
Search Mechanism
50%
Equipment Maintenance
50%
Mathematics
Monte Carlo
100%
Monte Carlo Calculation
100%
Logistic Model
25%
Simple Function
25%
Model Design
25%