Optimal maintenance strategies for coherent systems: A warranty dependent approach

2022 ◽  
Vol 217 ◽  
pp. 108027
Author(s):  
M. Hashemi ◽  
M. Asadi ◽  
M. Tavangar
Keyword(s):  
Coherent Systems ◽  
Maintenance Strategies ◽  
Optimal Maintenance

scholarly journals Bayesian maintenance decision optimisation based on computing the information value from condition inspections

2021 ◽  
pp. 1748006X2097812
Author(s):  
Guang Zou ◽  
Kian Banisoleiman ◽  
Arturo González
Keyword(s):  
Decision Making ◽  
Structural Integrity ◽  
Fatigue Cracking ◽  
Cost Effective ◽  
Offshore Structures ◽  
Information Value ◽  
Bayesian Decision ◽  
Maintenance Strategies ◽  
Optimal Maintenance ◽  
Maintenance Decision

A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.

A dynamic predictive maintenance model considering spare parts inventory based on hidden semi-Markov model

2012 ◽  
Vol 227 (9) ◽  
pp. 2090-2103 ◽  
Author(s):  
Qinming Liu ◽  
Ming Dong ◽  
Ying Peng
Keyword(s):  
Dynamic Programming ◽  
Markov Model ◽  
Transition Probabilities ◽  
Spare Part ◽  
Spare Parts ◽  
Stochastic Dynamic ◽  
Maintenance Strategies ◽  
Spare Parts Inventory ◽  
Optimal Maintenance ◽  
Maintenance Model

The maintenance strategies optimization can play a key role in the industrial systems, in particular to reduce the related risks and the maintenance costs, improve the availability, and the reliability. Spare part demands are usually generated by the need of maintenance. It is often dependent on the maintenance strategies, and a better practice is to deal with these problems simultaneously. This article presents a stochastic dynamic programming maintenance model considering multi-failure states and spare part inventory. First, a probabilistic maintenance model called hidden semi-Markov model with aging factor is used to classify the multi-failure states and obtain transition probabilities among multi-failure states. Then, spare parts inventory cost is integrated into the maintenance model for different failure states. Finally, a double-layer dynamic programming maintenance model is proposed to obtain the optimal spare parts inventory and the optimal maintenance strategy through which the minimum total cost can be achieved. A case study is used to demonstrate the implementation and potential applications of the proposed methods.

Study on in-Service Bridge LCC Decision Model Based on Maintenance Management System

2011 ◽  
Vol 255-260 ◽  
pp. 3933-3937
Author(s):  
Yu Meng Wu ◽  
Jun Chang
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Decision Model ◽  
Management Strategies ◽  
Maintenance Management ◽  
Management Decision ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Bridge Maintenance ◽  
Optimal Maintenance

In this paper, decision-making tree and Markov process are used to select maintenance strategies of in-service bridges with the minimum LCC (life-cycle cost). Other costs in life cycle are considered comprehensively when establish the model to find the optimal maintenance strategy. Finally, an example is given to verify the efficiency of the model. The research methodology can provide effective support to bridge maintenance management decision-maker for making management strategies.

scholarly journals COMPARATIVE STUDY OF DIFFERENT MAINTENANCE STRATEGIES

2020 ◽  
pp. 14-22
Author(s):  
I.V. Tolok ◽  
G.V. Banzak ◽  
E.S. Lenkov ◽  
L.M. Vozikova
Keyword(s):  
Technical Condition ◽  
Cost Structure ◽  
Maintenance Strategy ◽  
Optimal Parameters ◽  
Maintenance Strategies ◽  
Reliability Indicators ◽  
Wear And Tear ◽  
Optimal Maintenance ◽  
The Cost ◽  
Maintenance Process

A characteristic feature of complex technical objects for special purposes is the presence in their composition of a large number (tens, hundreds of thousands) of various types component parts, which have different levels of reliability, different patterns of their wear and tear processes. This feature requires a more subtle approach to the organization and planning of maintenance in course of their operation. The problem is that in the development of such facilities, all issues related to maintainability and maintenance should be addressed already at the early stages of facility design. If you do not provide in advance the necessary hardware and software for the built-in monitoring of technical condition (TC) of the object, do not develop and "build" the maintenance technology into the object, then it will not be possible to realize in the future a possible gain in the reliability of the object due to maintenance. Since all these issues must be resolved at the stage of object creation (when the object does not yet exist), mathematical models of the maintenance process are needed, with the help of which it would be possible to calculate the possible gain in the level of reliability the facility due to maintenance, to estimate the cost costs required for this. Then, on the basis of such calculations, make a decision on the need for maintenance for this type of objects and, if such a decision is made, develop the structure of the maintenance system, choose the most acceptable maintenance strategy, and determine its optimal parameters. The article shows that the optimal parameters of various maintenance strategies significantly depend on both the reliability and cost structure of the facility and specified requirements for the facility's reliability . The higher the specified value , the more serviced items should be included in the optimal maintenance strategy. It has also been proven that the effectiveness of various maintenance strategies depends significantly on the reliability and cost structure of object. If the distribution of cost restored (including serviced) elements is closely correlated with the distribution of their reliability indicators, difference in effectiveness of different maintenance strategies is reduced. This is clearly seen in the example of Test-2 object, for which the least reliable elements are also the most expensive.

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