Risk-based optimization model for system maintenance scheduling

2012 ◽  
Author(s):  
Bo Xu ◽  
Xueshan Han ◽  
Yong Wang ◽  
Donglei Sun
Keyword(s):  
Optimization Model ◽  
Maintenance Scheduling ◽  
System Maintenance

Multi-component manufacturing system maintenance scheduling based on degradation information using genetic algorithm

2015 ◽  
Vol 115 (8) ◽  
pp. 1412-1434 ◽  
Author(s):  
Qinming Liu ◽  
Wenyuan Lv
Keyword(s):  
Optimization Model ◽  
Iterative Solution ◽  
Maintenance Scheduling ◽  
Phase Model ◽  
Content Type ◽  
System Utilization ◽  
Structural Dependence ◽  
Component Systems ◽  
Multi Phase ◽  
The Cost

Purpose – The traditional maintenance scheduling strategies of multi-component systems may result in maintenance shortage or overage, while system degradation information is often ignored. The purpose of this paper is to propose a multi-phase model that better integrates degradation information, dependencies and maintenance at the tactical level. Design/methodology/approach – This paper proposes first a maintenance optimization model for multi-component systems with economic dependence and structural dependence. The cost of combining maintenance activities is lower than that of performing maintenance on components separately, and the downtime cost can be reduced by considering structural dependence. Degradation information and multiple maintenance actions within scheduling horizon are considered. Moreover, the maintenance resources can be integrated into the optimization model. Then, the optimization model adopting one maintenance activity is extended to multi-phase optimization model of the whole system lifetime by taking into account the cost and the expected number of downtime. Findings – The superiority of the proposed method compared with periodic maintenance is demonstrated. Thus, the values of both integrated degradation information and considering dependencies are testified. The advantage of the proposed method is highlighted in the cases of high system utilization, long maintenance durations and low maintenance costs. Originality/value – Few studies have been carried out to integrate decisions on degradation, dependencies and maintenance. Their considerations are either incomplete or not realistic enough. A more comprehensive and realistic multi-phase model is proposed in this paper, along with an iterative solution algorithm for it.

An Optimization Model for Condition-Based Maintenance Decision Considering Total Risk of Grid Operation

2014 ◽  
Vol 1055 ◽  
pp. 383-388
Author(s):  
Hui Ren ◽  
Ran Ran Cui ◽  
Yan Tang
Keyword(s):  
Optimization Model ◽  
Condition Based Maintenance ◽  
Equipment Maintenance ◽  
Total Risk ◽  
Maintenance Time ◽  
Optimal Maintenance ◽  
System Maintenance ◽  
Equipment State ◽  
Maintenance Schedules ◽  
Grid Operation

In the background of condition-based maintenance (CBM), the equipment maintenance levels in a certain state have different choices, which has different impacts on the improvement of the equipment state and maintenance costs, which in turn affects the time schedule of equipment maintenance. Therefore, in this paper the equipment maintenance time and maintenance level are viewed as decision variables to make maintenance schedules. This paper presents a risk-based optimization model for system maintenance scheduling problem, considering the state of equipment, correlations of the equipment and the operation of grid. An optimization model minimizing total risk of grid operation by balancing system maintenance risk and failure risk is established, so that both optimal maintenance level and optimal maintenance time could be determined simultaneously. An example is taken to verify the validity of the model.

scholarly journals A maintenance scheduling optimization model for a multi-component machine in a digitalized manufacturing context

2021 ◽  
Vol 54 (1) ◽  
pp. 1254-1259
Author(s):  
Chiara Franciosi ◽  
Salvatore Miranda ◽  
Ciele Resende Veneroso ◽  
Stefano Riemma
Keyword(s):  
Optimization Model ◽  
Maintenance Scheduling ◽  
Scheduling Optimization
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