An optimum condition-based replacement and spare provisioning policy based on Markov chains

Journal of Quality in Maintenance Engineering

Volumn 14, Issue 4, 2008, Pages 387-401

  Wang, Ling ^a,b   Chu, Jian ^a   Mao, Weijie ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b CHINA JILIANG UNIVERSITY   (China)

Author keywords

Monte Carlo simulation; Optimization techniques; Replacement costs

Indexed keywords

COST BENEFIT ANALYSIS; FLEET OPERATIONS; MAINTAINABILITY; MAINTENANCE; MARKOV PROCESSES; OPTIMIZATION; SENSITIVITY ANALYSIS;

AVERAGE COST; CONDITION-BASED MAINTENANCE; COST PARAMETERS; DESIGN/METHODOLOGY/APPROACH; DETERIORATING SYSTEMS; DISCRETE-TIME MARKOV CHAINS; FINITE NUMBERS; INVENTORY POLICY; LEAD-TIME; MARKOV CHAINS; MONTE CARLO APPROACH; MONTE CARLO SIMULATION; NUMERICAL EXAMPLES; OPTIMIZATION TECHNIQUES; OPTIMUM CONDITIONS; PRACTICAL IMPLICATIONS; REPLACEMENT COSTS; REPLACEMENT POLICY; STOCK LEVELS;

DETERIORATION;

EID: 53149115277     PISSN: 13552511     EISSN: None     Source Type: Journal    
DOI: 10.1108/13552510810909984     Document Type: Article

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