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A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system
Cheng Ta Yeh, Louis Cheng Lu Yeng,
Yi Kuei Lin
*
, Yu Lun Chao
*
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工業工程與管理學系
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Keyphrases
Hybrid Method
100%
Reliability Cost
100%
Flow Shop
100%
Cost-based
100%
Bi-objective
100%
Machine Configuration
100%
Reconfiguration Problem
100%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
80%
Production Reliability
40%
Reliability Evaluation
20%
Recursive Sum of Disjoint Products
20%
Purchase Cost
20%
Pareto Optimal Solution
20%
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
20%
Strategic Decisions
20%
Solar Cell Fabrication
20%
Improved Strength Pareto Evolutionary Algorithm
20%
Absorbing Markov Chain
20%
Repair Actions
20%
Bi-objective Optimization Problem
20%
Multi-state Flow
20%
Engineering
Genetic Algorithm
100%
Hybrid Method
100%
Experimental Result
25%
Recursive
25%
Reliability Evaluation
25%
Applicability
25%
Similarities
25%
Ideal Solution
25%
Strategic Decision
25%
Purchase Cost
25%
Preference Order
25%
Pareto Solution
25%
Objective Optimization Problem
25%
Absorbing Markov Chain
25%
Solar Cell
25%