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   Predictable Maintenance: A Bayesian Network-Based Model  
   
نویسنده Partovi Mohammad ,Amra Mohsen ,Pahlevanzadeh Mohammadjavad ,Alwardi Abbas ,Fathi Mohammad Reza
منبع International Journal Of Reliability, Risk And Safety: Theory And Application - 2022 - دوره : 5 - شماره : 2 - صفحه:97 -105
چکیده    Industries' increasing progress and complexity has made maintenance and repair tasks very challenging, complex, and time-consuming. maintenance is one of the important sectors in several industries, and improvement in this sector can have excellent results. this paper develops a new maintenance prediction model based on bayesian networks (bn) capabilities. the models include several variables that experts determine and their influence on each other's-called conditional probability tables-which are learned from historical data. the model is implemented in an automobile repair department case study to show its performance. the model is evaluated through a sensitivity analysis, and the results show the proficiency of the proposal mode.
کلیدواژه Maintenance; Prediction; Bayesian Networks; Conditional Probability
آدرس University Of Tehran, School Of Industrial Engineering, College Of Engineering, Iran, Islamic Azad University, South-Tehran Branch, Department Of Industrial Engineering, Iran, University Of Tehran, College Of Farabi, Department Of Management And Accounting, Iran, Shahabdanesh University, Faculty Of Industry, Management And Accounting, Industrial Engineering Department, Iran, University Of Tehran, College Of Farabi, Department Of Management And Accounting, Iran
پست الکترونیکی reza.fathi@ut.ac.ir
 
     
   
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