Bi-Criteria Optimization for Finding the Optimal Replacement Interval for Maintaining the Performance of the Process Industries

2016 ◽  
pp. 643-675 ◽  
Author(s):  
Harish Garg
Keyword(s):  
Maintenance Cost ◽  
Time Interval ◽  
Process Industries ◽  
Component System ◽  
Optimal Replacement ◽  
Maintenance Program ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
System Life ◽  
Multi Component System

The optimization of the maintenance decision making can be defined as an attempt to resolve the conflicts of decision situation in such a way that variable under the control of the decision maker take their best possible value. One of the most important controllable parameters is the time interval between maintenance. Most of the researchers have kept the fact that whenever the suitable maintenance interval is reached, the system is replaced with the original one. However the improvement of a system life not only depends on the replacement of deteriorated components, but also on the effectiveness of the maintenance. Taking care about this fact, the effects of maintenance of a multi-component system by combining the three main different PM actions, namely (1a), (1b) and (2p)-maintenance actions. Thus, the main purpose of an effective maintenance program is to present a technique for finding the optimal maintenance interval for the system by considering the multiple goals of the organization viz. maximum availability, minimum maintenance cost.

Optimization of equal-cycle maintenance strategy considering imperfect preventive maintenance

2021 ◽  
pp. 095440892110638
Author(s):  
Xinlong Li ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Action Unit ◽  
Cost Rate ◽  
Equipment Reliability ◽  
Optimal Maintenance ◽  
Important Means ◽  
Maintenance Decision

Preventive maintenance is an important means to extend equipment life and improve equipment reliability. Traditional preventive maintenance decision-making is often based on components or the entire system, the granularity is too large and the decision-making is not accurate enough. The meta-action unit is more refined than the component or system, so the maintenance decision-making based on the meta-action unit is more accurate. Therefore, this paper takes the meta-action unit as the research carrier, considers the imperfect preventive maintenance, based on the hybrid hazard rate model, established the imperfect preventive maintenance optimization model of the meta-action unit, and the optimization solution algorithm was given for the maintenance strategy. Finally, through numerical analysis, the validity of the model is verified, and the influence of different maintenance costs on the optimal maintenance strategy and optimal maintenance cost rate is analyzed.

scholarly journals Optimal Maintenance Decision Method for Urban Gas Pipelines Based on as Low as Reasonably Practicable Principle

2018 ◽  
Vol 11 (1) ◽  
pp. 153 ◽  
Author(s):  
Peng Zhang ◽  
Guojin Qin ◽  
Yihuan Wang
Keyword(s):  
Decision Making ◽  
Risk Reduction ◽  
Cost Benefit Analysis ◽  
Optimization Theory ◽  
Cost Benefit ◽  
Maintenance Cost ◽  
Gas Pipelines ◽  
City Gas ◽  
Optimal Maintenance ◽  
Maintenance Decision

In the transportation process of urban gas pipelines, there are various uncontrollable risks and uncertainties possibly leading to the failure of gas pipelines and thereby serious consequences, such as city gas shutdown, nearby casualties, and environmental pollution. To avoid these hazards, numerous studies have been performed in identifying and evaluating the occurrence of risks and uncertainties to pipelines. However, discussions on risk reduction and other maintenance work are scarce; therefore, a scientific method to guide decision making is non-existent, thereby resulting in excessive investment in maintenance and reduced maintenance cost of other infrastructures. Therefore, the as low as reasonably practicable (ALARP) principle combined with optimization theory is used to discuss pipeline maintenance decision-making methods in unacceptable regions and ALARP regions. This paper focuses on the analysis of pipeline risk reduction in the ALARP region and proposes three optimization decision models. The case study shows that maintenance decision making should consider the comprehensive impact of maintenance cost to reduce risk and loss cost caused by pipeline failure, and that the further cost–benefit analysis of measures should be performed. The proposed pipeline maintenance decision-making method is an economical method for pipeline operators to make risk decisions under the premise of pipeline safety, which can improve the effectiveness of the use of maintenance resources.

A condition-based opportunistic maintenance strategy for multi-component system

2018 ◽  
Vol 18 (1) ◽  
pp. 270-283 ◽  
Author(s):  
Hongshan Zhao ◽  
Fanhao Xu ◽  
Botong Liang ◽  
Jianping Zhang ◽  
Peng Song
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Condition Based Maintenance ◽  
Threshold Function ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Condition Indicator ◽  
Multi Component System

As a new dynamic maintenance strategy, the condition-based opportunistic maintenance strategy for multi-component system is presented in this work. In the strategy, the degeneration of each component is described by Weibull proportional hazards model or Weibull proportional intensity model, and the condition indicator is defined to characterize the operating state of each component. Then, when and how to maintain a component can be confirmed by comparing the value of the condition indicator with that of the maintenance threshold function. Condition-based maintenance will be implemented on a component if the value of its condition indicator exceeds that of its condition-based maintenance threshold function. Meanwhile, opportunistic maintenance will also be implemented on a component if the value of its condition indicator exceeds that of its opportunistic maintenance threshold function. The two maintenance threshold functions can be determined by minimizing maintenance cost. Finally, taking the wind turbine as an example of a multi-component system, simulation analyses are described to validate the feasibility and effectiveness of the condition-based opportunistic maintenance strategy.

Optimal maintenance intervals for a multi-component system

2006 ◽  
Vol 17 (8) ◽  
pp. 769-779 ◽  
Author(s):  
A. S. B. Tam ◽  
W. M. Chan ◽  
J. W. H. Price
Keyword(s):  
Component System ◽  
Optimal Maintenance ◽  
Multi Component System

scholarly journals Opportunistic Maintenance Policy for a Multi-Component System Subject to Random Failures

2017 ◽  
Vol 4 (2) ◽  
pp. 80-91
Author(s):  
H. Eldhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper, an opportunistic maintenance policy (OMP) for a multi-component system is studied. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. Each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period, the set of actions (among many others) must be determined in order to achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, a numerical example to explain the proposed maintenance policy and the optimization procedure is provided.

scholarly journals Maintenance modelling and optimization in the industry 4.0 context: Applications to the maintenance and design of industrial vehicles

2021 ◽  
Vol 3 (2) ◽  
pp. 130-138
Author(s):  
Segolene Clemence Marie Mosser
Keyword(s):  
Industry 4.0 ◽  
Operating Costs ◽  
Maintenance Cost ◽  
Component System ◽  
Total Cost ◽  
The Impact ◽  
Multi Component System ◽  
Modelling And Optimization ◽  
Monitoring Information

This paper focused on the maintenance problems encountered by industrial vehicles within the Volvo Group. The main goal of the research on this subject was to propose to customers’ a personalized maintenance offer which adapts to their constraints while reducing the impact on the operating costs. To achieve this, a policy has been developed. This policy works on the dynamic gathering of information using both the available monitoring information and the knowledge of the multi-component system. Its objective is to guarantee to the customer the autonomy of its system over given periods of operation while minimizing the total cost of maintenance. The paper showed that the policy developed does indeed reduce the total maintenance cost compared to the previous policy used within the Volvo group. Nevertheless, this policy still has room for improvement.

scholarly journals Opportunistic Maintenance Policy for A Multi-Component System Subject To Random Failures

2021 ◽  
Vol 4 (1) ◽  
pp. 15-27
Author(s):  
H. Elhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper we study an opportunistic maintenance policy (OMP) for a multi-component system. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. We suppose that each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period we must determine the set of actions (among many others) that will achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, we will give a numerical example to explain the proposed maintenance policy and the optimization procedure.

Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk

2007 ◽  
pp. 231-247
Author(s):  
Hitoshi Furuta ◽  
Kazuhiro Koyama
Keyword(s):  
Life Cycle ◽  
Natural Hazards ◽  
Seismic Risk ◽  
Life Cycle Cost ◽  
Cost Evaluation ◽  
Maintenance Cost ◽  
Life Cycle Cost Analysis ◽  
Maintenance Program ◽  
Bridge Structures ◽  
Optimal Maintenance

This chapter introduces a life-cycle cost (LCC) analysis of bridge structures considering seismic risk. Recently, LCC has been paid attention as a possible and promising method to achieve a rational maintenance program. In general, LCC consists of initial cost, maintenance cost, and renewal cost. However, when considering LCC in the region that often suffers from natural hazards such as typhoons and earthquakes, it is necessary to account for the effects of such natural hazards. Using the probability of damage occurrence, LCC can be calculated for the bridge structures with earthquake excitations. The LCC analysis method proposed in this chapter can be applied to optimal maintenance planning by using genetic algorithms and can be extended to the life-cycle cost analysis of road network.

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