scholarly journals Maintenance Optimization Based on Three-Stage Failure Process under Performance-Based Contracting

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xi Zhu ◽  
Fei Zhao ◽  
Juan Li ◽  
Yongsheng Bai ◽  
Qiwei Hu
Keyword(s):  
Optimization Model ◽  
Cold Water ◽  
Failure Process ◽  
Maintenance Optimization ◽  
Public And Private ◽  
Contract Performance ◽  
Maintenance Policies ◽  
Revenue Function ◽  
Conventional Optimization ◽  
Water Pumps

As a new form of support contract, performance-based contracting has been extensively applied in both public and private sectors. However, maintenance policies under performance-based contracting have not gotten enough attention. In this paper, a preventive maintenance optimization model based on three-stage failure process for a single-component system is investigated with an objective of maximizing the profit and improving system performance at a lower cost under performance-based contracting. Different from conventional optimization models, the step revenue function is used to correlate profit with availability and cost. Then, a maintenance optimization model is proposed to maximize profit by optimizing the inspection interval. Moreover, the customers’ upper limit of funds is considered when we use the revenue function, which has rarely been considered in past studies. Finally, a case study on the cold water pumps along with comparison of linear and step revenue function and sensitivity analysis is provided to illustrate the applicability and effectiveness of our proposed approach.

scholarly journals An Enhanced Preventive Maintenance Optimization Model Based on a Three-Stage Failure Process

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Ruifeng Yang ◽  
Jianshe Kang ◽  
Zhenya Quan
Keyword(s):  
Optimization Model ◽  
Preventive Maintenance ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Failure Process ◽  
Maintenance Optimization ◽  
Maintenance Policy ◽  
Model Based ◽  
Inspection Interval

Nuclear power plants are highly complex systems and the issues related to their safety are of primary importance. Probabilistic safety assessment is regarded as the most widespread methodology for studying the safety of nuclear power plants. As maintenance is one of the most important factors for affecting the reliability and safety, an enhanced preventive maintenance optimization model based on a three-stage failure process is proposed. Preventive maintenance is still a dominant maintenance policy due to its easy implementation. In order to correspond to the three-color scheme commonly used in practice, the lifetime of system before failure is divided into three stages, namely, normal, minor defective, and severe defective stages. When the minor defective stage is identified, two measures are considered for comparison: one is that halving the inspection interval only when the minor defective stage is identified at the first time; the other one is that if only identifying the minor defective stage, the subsequent inspection interval is halved. Maintenance is implemented immediately once the severe defective stage is identified. Minimizing the expected cost per unit time is our objective function to optimize the inspection interval. Finally, a numerical example is presented to illustrate the effectiveness of the proposed models.

scholarly journals A Methodology for Maintenance Evaluation and Improvement of Repairable Systems in a Mine

2021 ◽  
Author(s):  
Uthman Said
Keyword(s):  
Preventive Maintenance ◽  
Failure Process ◽  
Maintenance Optimization ◽  
Repairable Systems ◽  
System Availability ◽  
Failure Characteristics ◽  
Dump Trucks ◽  
Maintenance Policies ◽  
Component Failures

In this thesis, a maintenance evaluation and improvement methodology is presented, which makes use of maintenance data to determine failure characteristics of repairable systems and the effectiveness of maintenance policies being conducted on them. The objective is to provide a way in which maintenance data can be collected, organized, cleaned and formatted to provide information on component failures analytics, system availability and utilization so as to determine flaws in maintenance strategies. The methodology also provides context for the study of maintenance effectiveness, and synthesizes its importance within the grander scheme of maintenance optimization of repairable systems. We consider a repairable system whose failures follow a Non-Homogenous Poisson Process (NHPP) with the power law intensity function. The system is subject to corrective and multiple types of preventive maintenance. We assume the effects of different preventive maintenance on the system are not identical, and estimate the parameters of the failure process as well as the effects of preventive maintenance. Ultimately, the methodology serves to guide maintenance designers in measuring the effectiveness of current maintenance policies and providing granular analysis on current failure trends to arrive at data-driven options for maintenance improvement. The proposed methodology was applied to a real case study of four AC-powered dump trucks used at an underground mine in Sudbury, Canada.

Reliability modeling and maintenance optimization for the two-unit system with preset self-repairing mechanism

2019 ◽  
Vol 234 (2) ◽  
pp. 221-234
Author(s):  
Xian Zhao ◽  
Xinqian Huang ◽  
Jinglei Sun
Keyword(s):  
Optimization Model ◽  
Optimal Decision ◽  
Maintenance Optimization ◽  
Reliability Model ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Reliability Modeling ◽  
Long Run ◽  
Proposed Model ◽  
Maintenance Policies

In this article, the reliability model and the opportunistic maintenance optimization model are formulated for the preset self-repairing mechanism which is artificially designed and applied to many engineering systems. The preset self-repairing mechanism is first introduced into the reliability model, and a series system consisting of two units is built to describe the proposed model. One unit in the system is subject to external shocks and has the preset self-repairing mechanism, the other does not have the recovery mechanism and its lifetime distribution follows exponential distribution. For the system, the analytical expression of reliability is derived, and a maintenance optimization model taking the long-run average cost per unit time as objective function is established. The decision parameters of the maintenance policy are preventive and opportunistic degradation levels. Besides, a preventive maintenance policy is proposed for comparison with the opportunistic maintenance policy. Finally, the numerical examples are provided to obtain the optimal decision parameters and demonstrate the effectiveness of opportunistic maintenance policies.

scholarly journals A Methodology for Maintenance Evaluation and Improvement of Repairable Systems in a Mine

2021 ◽  
Author(s):  
Uthman Said
Keyword(s):  
Preventive Maintenance ◽  
Failure Process ◽  
Maintenance Optimization ◽  
Repairable Systems ◽  
System Availability ◽  
Failure Characteristics ◽  
Dump Trucks ◽  
Maintenance Policies ◽  
Component Failures

In this thesis, a maintenance evaluation and improvement methodology is presented, which makes use of maintenance data to determine failure characteristics of repairable systems and the effectiveness of maintenance policies being conducted on them. The objective is to provide a way in which maintenance data can be collected, organized, cleaned and formatted to provide information on component failures analytics, system availability and utilization so as to determine flaws in maintenance strategies. The methodology also provides context for the study of maintenance effectiveness, and synthesizes its importance within the grander scheme of maintenance optimization of repairable systems. We consider a repairable system whose failures follow a Non-Homogenous Poisson Process (NHPP) with the power law intensity function. The system is subject to corrective and multiple types of preventive maintenance. We assume the effects of different preventive maintenance on the system are not identical, and estimate the parameters of the failure process as well as the effects of preventive maintenance. Ultimately, the methodology serves to guide maintenance designers in measuring the effectiveness of current maintenance policies and providing granular analysis on current failure trends to arrive at data-driven options for maintenance improvement. The proposed methodology was applied to a real case study of four AC-powered dump trucks used at an underground mine in Sudbury, Canada.

scholarly journals Inverse Optimization Method of Resource Allocation with Consideration of Advantage Structure

2017 ◽  
Vol 8 (2) ◽  
pp. 86
Author(s):  
Lili Zhang ◽  
Wenwen Yang ◽  
Dejun Teng
Keyword(s):  
Optimization Model ◽  
Optimization Method ◽  
Indicator System ◽  
Inverse Optimization ◽  
Competence Model ◽  
Interview Method ◽  
Expert Interview ◽  
Principle Of Duality ◽  
Conventional Optimization ◽  
Programming Analysis

The research collects competence items of informal questionnaire by expert interview method, analyzes the results qualitatively and quantitatively and forms formal questionnaire. Through statistical analysis and AMOS modeling, the research obtains workers’ competence model and validates competence model. An identification method of individual advantage characters according competency indicator system is built up relying on programming analysis and parameter optimization. We build the optimization model and its inverse optimization model, starting from the original optimization model, adjusting parameter value as small as possible, the conventional optimization model translated into the inverse model by the principle of duality. A calculation example is used to make sure the method is reliability and feasibility.

A maintenance optimization model for mission-oriented systems based on Wiener degradation

2013 ◽  
Vol 111 ◽  
pp. 183-194 ◽  
Author(s):  
Chiming Guo ◽  
Wenbin Wang ◽  
Bo Guo ◽  
Xiaosheng Si
Keyword(s):  
Optimization Model ◽  
Maintenance Optimization
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