scholarly journals Joint Optimization in Condition-Based Maintenance and Inventory Policy for the Repairable System

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Huayang Deng ◽  
Quan Shi ◽  
Yadong Wang
Keyword(s):  
Prediction Method ◽  
Remaining Useful Life ◽  
Condition Based Maintenance ◽  
Joint Optimization ◽  
Support Pressure ◽  
Maintenance Policy ◽  
State Monitoring ◽  
Monitoring Method ◽  
Reliability Centered Maintenance ◽  
Joint Policy

In the modern industry, to reduce support pressure, a variety of suppliers have begun to use the same kind of units in many types of equipment. However, highly integrated equipment is more difficult to use in traditional reliability-centered maintenance (RCM) models, and researchers start steering based on the state monitoring method. This paper mainly discusses the remaining useful life (RUL) prediction method based on the Wiener process and introduces the improved condition-based maintenance policy. Combined with the (S-1, S) policy, the joint policy and the model considering the repairable policy are built for the multiunit system. Finally, the optional decision combination is obtained. Except that, the advantage of the joint optimization in a multiunit system and the characteristics of repairable policy in the joint model are analyzed.

scholarly journals Joint Optimization of Condition-based Maintenance and Inventory Ordering Based on Status Monitoring for Multi-unit system

2021 ◽  
Vol 37 (4) ◽  
Author(s):  
H. Deng ◽  
Q. Shi ◽  
Y. Wang
Keyword(s):  
Spare Parts ◽  
Condition Based Maintenance ◽  
Data Driven ◽  
Joint Optimization ◽  
Equipment Failure ◽  
Analysis Method ◽  
Monitoring Methods ◽  
State Monitoring ◽  
Status Monitoring ◽  
Unit System

In the modern industry, in order to reduce the inventory pressure, a variety of parts began to use unified kind spare parts for maintenance. However, highly integrated equipment is more difficult to use traditional RCM models, and researchers begin to steering based on state monitoring methods. Deepen a prediction of equipment failure. This paper mainly discussed the data-driven analysis method based on the Wiener process to predict the fault law of the same type. The joint model innovatively adopts the (s-1, s) policy considering the industrial characteristic and multi-period resupply. In the end, we analyze (s-1, s) policy in joint optimization by comparison to draw the optimal policy combination.

Plant machinery working life prediction method utilizing reliability and condition-monitoring data

2000 ◽  
Vol 214 (2) ◽  
pp. 109-122 ◽  
Author(s):  
K B Goode ◽  
J Moore ◽  
B J Roylance
Keyword(s):  
Condition Monitoring ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Condition Based Maintenance ◽  
Steel Mill ◽  
Strip Steel ◽  
Hot Strip ◽  
Useful Life ◽  
Critical Components ◽  
Maintenance Model

A recently developed condition-based maintenance model is described which utilizes reliability data combined with condition-monitoring and measurements to predict the remaining useful life of critical components in a hot strip steel mill. The results obtained from case studies are presented which indicate how the model can be used as part of a condition-based maintenance strategy.

Hybrid remaining useful life prediction method. A case study on railway D-cables

2021 ◽  
pp. 107746
Author(s):  
Yu Zang ◽  
Wei Shangguan ◽  
Baigen Cai ◽  
Huasheng Wang ◽  
Michael. G. Pecht
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Useful Life
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