作者: Hamid Moakedi , Mohammad Seved Seyedhosseini , Kamran Shahanaghi
DOI: 10.1108/JQME-05-2018-0044
关键词: Mathematical optimization 、 Computational complexity theory 、 Minification 、 Block (data storage) 、 Sensitivity (control systems) 、 Correctness 、 Component (UML) 、 Computer science 、 Monte Carlo method 、 Interval (mathematics)
摘要: Purpose The purpose of this paper is to model a block-based inspection policy for multi-component system with stochastic dependence. Some components may develop hidden failure, an occurrence which neither stops the nor accelerates other components’ deterioration. On hand, experience three states: healthy, defective and revealed failures. Any failure each component not only but also generates shock all ones, increases their rate hidden, defect failures. Design/methodology/approach A considered take advantage economic dependence as follows. In addition periodic inspections, inspected at failures’ moments detect fix both defects failures on components. To calculate expected total cost, recursive equations required values first mathematically derived. Then, due computational complexity, efficient Monte Carlo simulation algorithm designed values. Findings The proposed approach illustrated through numerical example, optimal interval over finite time horizon obtained via minimization cost. Finally, correctness results validated by conducting sensitivity analysis. Originality/value Planning appropriate becomes more complicated when considering because different units modes