scholarly journals Optimal Two-Stage Periodic Inspection Policy for Maintaining Storage Reliability

2008 ◽  
Vol 15 (3) ◽  
pp. 387-402 ◽  
Author(s):  
Yong-Suk Cho ◽  
Joo-Ho Lee
Author(s):  
Himani Pant ◽  
S. B. Singh ◽  
Neelam Chantola

The availability of a maintained system subject to multiple failure modes undergoing periodic inspection is studied in this paper. Calendar-based inspection policy is being incorporated. Explicitly, a system with a functional state and [Formula: see text] failure modes is taken into account. Failure time of each failure mode is random. As the [Formula: see text]th ([Formula: see text]) failure occurs, the respective corrective repair taking a random time [Formula: see text] [Formula: see text] is carried out. Some theorems on the point availability and limiting average availability are obtained in this study. The application of the derived result is explained through an example of wind turbine system.


2002 ◽  
Vol 39 (4) ◽  
pp. 700-711 ◽  
Author(s):  
Peter C. Kiessler ◽  
Georgia-Ann Klutke ◽  
Yoonjung Yang

This paper studies inspected systems with non-self-announcing failures where the rate of deterioration is governed by a Markov chain. We compute the lifetime distribution and availability when the system is inspected according to a periodic inspection policy. In doing so, we expose the role of certain transient distributions of the environment.


2021 ◽  
Vol 11 (19) ◽  
pp. 9348
Author(s):  
Anna Jodejko-Pietruczuk

Although one can presently observe great development in the methods for diagnosing conditions of technical systems, inspections which are not 100% accurate are still common in industry. If there are multiple available inspection methods which differ in accuracy of diagnosis, cost, or testing time, the answer for the question: which inspection method should be chosen is not a simple task. This paper addresses the problem and proposes a two-stage inspection policy model whose aim is to combine inspection methods that differ in their accuracy and cost features. The two-stage policy models that have been used so far in the literature assume that the second stage of an inspection is perfect, which is not always possible or profitable. For this reason, the mathematical model of the two-stage inspection policy with not-necessarily-perfect second stage is developed here, and its results are presented for the case study of diagnosing sealing in a hydraulic cylinder. The example proved that the application of mixed imperfect inspections could decrease maintenance cost, compared to the one-stage perfect inspection policy, by up to 35%. The paper also formulates a set of rules that support decision making while searching for cost-effective parameters of the two-stage policy. Their application is confirmed by a numerical example, which shows their potential in suboptimization of the proposed policy.


2002 ◽  
Vol 39 (04) ◽  
pp. 700-711 ◽  
Author(s):  
Peter C. Kiessler ◽  
Georgia-Ann Klutke ◽  
Yoonjung Yang

This paper studies inspected systems with non-self-announcing failures where the rate of deterioration is governed by a Markov chain. We compute the lifetime distribution and availability when the system is inspected according to a periodic inspection policy. In doing so, we expose the role of certain transient distributions of the environment.


Author(s):  
Bachir Cherfaoui ◽  
Radouane Laggoune

Each system goes through several intermediate states between its initial state and the failure state, which are called degradation states. In addition, knowing these intermediate states allows us the building of an effective maintenance plan for the system under consideration. In this paper, we have considered a two-component parallel system where each component is subjected to two levels of degradation. Our first objective is to identify the mathematical (probabilistic) model associated with this system and this when the hypothesis of periodic inspection of the system is retained. Then, the main idea is to build the economic model encompassing the different average costs (inspection costs, preventive maintenance costs and corrective maintenance costs) spent during a renewal cycle. The latter will allow us to determine the optimal “inspection interval” while minimizing the average global-cost spent. Finally, in order to illustrate and analyze the sensitivity of the optimal inspection policy to the various maintenance costs, numerical examples are presented.


Author(s):  
Binghai Zhou ◽  
Guoqing Cheng ◽  
Ziqiang Liu ◽  
Zilong Liu

This paper aims to integrate a two-period condition-based preventive maintenance (TP-CBM) into a pull production system by using Kanban control policy. The pull system is subject to continuous degradation and random failures. It is assumed that the system’s degradation can be divided into several stages, where the hazard rate increasing factor is introduced to describe the failure rate at each stage. Meanwhile, quality of products is also considered. Markov chain is used to formulate the process of degradation and periodic inspection policy is adopted to trigger the preventive maintenance. A mathematical model is proposed to obtain the optimal production control and maintenance policies, i.e. the inspection rate, the amount of Kanban and the preventive maintenance threshold. A genetic algorithm combined with integer programming is proposed to solve the problem. Numerical instances indicate that the proposed TP-CBM policy is effective and efficient.


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