scholarly journals Optimal Policies of Social Infrastructures Maintenance using Shock and Damage Model

2021 ◽  
Vol 6 (6) ◽  
pp. 1646-1666
Author(s):  
Akihiro Yamane ◽  
Kodo Ito ◽  
Yoshiyuki Higuchi
Keyword(s):  
Cost Model ◽  
Damage Model ◽  
Maintenance Cost ◽  
Electronic Systems ◽  
Social Infrastructure ◽  
Cost Rate ◽  
Local Finance ◽  
Optimal Policies ◽  
Special Circumstances ◽  
Maintenance Plan

Social infrastructures such as roads and bridges are indispensable for our lives. They have to be maintained continuously and such maintenance has become a big issue in Japan. Social infrastructures are maintained under strict restrictions such as decreasing in local finance revenue and scarcity of skilful engineers. Various kinds of factors such as inspection periods, maintenance costs, and degradation levels, are necessary to consider in establishing efficient maintenance plans of social infrastructures. Furthermore, the special circumstances of social infrastructures such as the delay of constructions which is caused by the scarcity of budget, must be discussed for the efficient maintenance plan. For such discussion, the stochastic cost model which contains preventive and corrective maintenances is useful. Although these models have been studied in mechanical and electronic systems, unique characteristics of social infrastructures such as their enormous scale and delays due to maintenance budget restrictions must be considered when such social infrastructure models are discussed. In this paper, we establish maintenance models of infrastructures which some of preventive maintenance must be prolonged. The expected maintenance cost rate is established using the cumulative damage model and optimal policies which minimizes them are considered. Three basic models and their extended models which consider natural disasters are discussed.

Analysis of Disassembled Module with Damage Model for Recycling

2006 ◽  
Vol 532-533 ◽  
pp. 177-180
Author(s):  
Yong Ji ◽  
Hirohisa Narita ◽  
Lian Yi Chen ◽  
Hideo Fujimoto
Keyword(s):  
Damage Model ◽  
Life Time ◽  
Optimal Number ◽  
Cumulative Damage ◽  
Maintenance Cost ◽  
Damage Level ◽  
Cost Rate ◽  
Optimal Maintenance ◽  
Cumulative Damage Model ◽  
Prime Problem

As environmental problems have become more serious, a sustainable society is necessary. To realize the inverse manufacturing system the prime problem is how to improve the rate of reusing the product modules. Therefore analyzing the life-time of the disassembled modules is very important before reassembling process. In this paper, a cumulative damage model is proposed to discuss the quality of the product that is assembled by reuse modules. It is supposed that modules suffer damages due to shocks and fails when the cumulative damage level exceeds the failure level. Then maintenance cost will be analyzed in order to minimize the expected maintenance cost-rate by optimal maintenance time T and optimal number of damages N in this cumulative damage model. The probable safe life-time of module reuse will be explored. Finally numerical examples are given to confirm the validity of the proposed model.

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

2021 ◽  
pp. 1748006X2110127
Author(s):  
Qingan Qiu ◽  
Baoliang Liu ◽  
Cong Lin ◽  
Jingjing Wang
Keyword(s):  
Failure Modes ◽  
Maintenance Cost ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Availability Analysis ◽  
Long Run ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Periodic Inspections

This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

scholarly journals Micro-mechanical investigation of railway ballast behavior under cyclic loading in a box test using DEM: effects of elastic layers and ballast types

2019 ◽  
Vol 21 (4) ◽  
Author(s):  
Nishant Kumar ◽  
Bettina Suhr ◽  
Stefan Marschnig ◽  
Peter Dietmaier ◽  
Christof Marte ◽  
...  
Keyword(s):  
Cyclic Loading ◽  
Early Stage ◽  
Damage Model ◽  
Simulation Models ◽  
Railway Track ◽  
Maintenance Cost ◽  
Particle Movement ◽  
Railway Ballast ◽  
Elastic Layers ◽  
The Impact

Abstract Ballasted tracks are the commonly used railway track systems with constant demands for reducing maintenance cost and improved performance. Elastic layers are increasingly used for improving ballasted tracks. In order to better understand the effects of elastic layers, physical understanding at the ballast particle level is crucial. Here, discrete element method (DEM) is used to investigate the effects of elastic layers – under sleeper pad ($$\text {USP}$$USP) at the sleeper/ballast interface and under ballast mat ($$\text {UBM}$$UBM) at the ballast/bottom interface – on micro-mechanical behavior of railway ballast. In the DEM model, the Conical Damage Model (CDM) is used for contact modelling. This model was calibrated in Suhr et al. (Granul Matter 20(4):70, 2018) for the simulation of two different types of ballast. The CDM model accounts for particle edge breakage, which is an important phenomenon especially at the early stage of a tamping cycle, and thus essential, when investigating the impact of elastic layers in the ballast bed. DEM results confirm that during cyclic loading, $$\text {USP}$$USP reduces the edge breakage at the sleeper/ballast interface. On the other hand, $$\text {UBM}$$UBM shows higher particle movement throughout the ballast bed. Both the edge breakage and particle movement in the ballast bed are found to influence the sleeper settlement. Micro-mechanical investigations show that the force chain in deeper regions of the ballast bed is less affected by $$\text {USP}$$USP for the two types of ballast. Conversely, dense lateral forces near to the box bottom were seen with $$\text {UBM}$$UBM. The findings are in good (qualitative) agreement with the experimental observations. Thus, DEM simulations can aid to better understand the micro-macro phenomena for railway ballast. This can help to improve the track components and track design based on simulation models taking into account the physical behavior of ballast. Graphical Abstract

scholarly journals Key Strategies to Overcome Cost Overruns Issues in Building Maintenance Management

2018 ◽  
Vol 7 (2.29) ◽  
pp. 269 ◽  
Author(s):  
Sylvia Gala Mong ◽  
Sarajul Fikri Mohamed ◽  
Mohd Saidin Misnan
Keyword(s):  
Planning Process ◽  
Cost Model ◽  
Spare Parts ◽  
Maintenance Management ◽  
Maintenance Cost ◽  
Push Factors ◽  
Cost Overruns ◽  
Sustainable Building ◽  
Maintenance Strategies ◽  
Building Maintenance

The building maintenance is a crucial part of the life cycle of the building. The maintenance strategies are planned to maintain the condition of the building for specified functions. The maintenance planning requires a comprehensive assessment in determining the effectiveness of building performance, especially in the maintenance budgets planning process. The effective budget preparation will reduce the risk of cost overruns and help the organization to execute the repair works efficiently with sufficient resources. This study attempts to identify the issues related to maintenance cost and proposed the key strategies for improving the sustainable building maintenance budgeting in dealing with the cost overruns. This paper utilizes a qualitative approach through a literature review of secondary data from previous studies. The proposed cost model of maintenance strategies will be used as a basis for further investigation and validation towards promoting the sustainable building maintenance management. The studies identified the push factors that influence the maintenance cost; human factors, tools and equipment, spare parts and materials, funds allocation and available information. Each of the push factors needs to be well-considered to ensure that the maintenance activities can be done efficiently and to avoid the issues of cost overruns.  

scholarly journals Balancing reliability and maintenance cost rate of multi-state components with fault interval omission

2018 ◽  
Vol 21 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Wenjie Dong ◽  
Sifeng Liu ◽  
Xiaoyu Yang ◽  
Huan Wang ◽  
Zhigeng Fang
Keyword(s):  
Maintenance Cost ◽  
Cost Rate

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.

Optimization of Leased Equipment Maintenance Policy Based on History Failure Data

2021 ◽  
pp. 2150030
Author(s):  
Ke Dong ◽  
Kehong Chen
Keyword(s):  
Power Law ◽  
Cost Model ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Power Law Process ◽  
Total Cost ◽  
Cost Rate ◽  
Failure Data ◽  
Expected Total Cost ◽  
The Cost

We propose a maintenance policy for new equipment on a repair-refund maintenance strategy in this paper and derive the optimal lease period from the lessor’s perspective based on independent and identical distribution of historical failure data which obey power law process. The cost model of a full refund and a proportional refund is studied, and the corresponding optimal leasing period is determined by reducing the expected total cost rate to the largest extent. We use a numerical example to illustrate the proposed cost model and analyze the sensitivity of related parameters. Furthermore, we show that the proportional refund policy is preferable than a full refund to the lessor. Finally, according to the simulation outcome, the proposed methods are effective and instructions for lessor in regard to equipment lease are provided.

scholarly journals Blue Carbon Cooperation in the Maritime Silk Road with Network Game Model and Simulation

2019 ◽  
Vol 11 (10) ◽  
pp. 2748
Author(s):  
Changping Zhao ◽  
Xiaojiang Xu ◽  
Yu Gong ◽  
Houming Fan ◽  
Haojia Chen
Keyword(s):  
Carbon Tax ◽  
Simulation Method ◽  
Silk Road ◽  
Blue Carbon ◽  
Maintenance Cost ◽  
Tax Rate ◽  
Cost Rate ◽  
Strategic Value ◽  
Maritime Silk Road ◽  
Continuous Input

The blue carbon cooperation is a joint effort of the countries along the Maritime Silk Road (MSR) to utilize marine activities and organisms to absorb and store carbon dioxide in the atmosphere, an initiative that has great strategic value for coping with the most important environmental problems in the 21st century and promoting the building of a community with shared aspirations for mankind’s future. This research combines the decision-making structure model with the reality of the blue carbon cooperation game of the MSR to make conditional assumptions and carry out model construction. It uses the simulation method to test the influencing factors such as decision-maker type, initial input cost, continuous input maintenance cost, rate of return, carbon tax rate and others. The results suggest that initial and continuous input costs, returns, and neighbor subsidies have positive impacts on blue carbon cooperation, while carbon tax rates and income discount rates have negative impacts on blue carbon cooperation. To promote blue carbon cooperation along the MSR, emphasis should be placed on the design of incentive and subsidy mechanisms, together with the appropriate punishment mechanisms.

A Quality Cost Model to Determine Optimal Policies for Purchased Components

1998 ◽  
Vol 5 (3) ◽  
pp. 54-64 ◽  
Author(s):  
Edward D. Arnheiter ◽  
Richard J. Giglio
Keyword(s):  
Cost Model ◽  
Quality Cost ◽  
Optimal Policies

Comparison of sequential and continuous inspection strategies for deteriorating systems

1994 ◽  
Vol 26 (2) ◽  
pp. 423-435 ◽  
Author(s):  
C. Teresa Lam ◽  
R. H. Yeh
Keyword(s):  
Continuous Time ◽  
Iterative Algorithms ◽  
Optimal Cost ◽  
Cost Rate ◽  
State Dependent ◽  
Long Run ◽  
Inspection Strategy ◽  
Optimal Policies ◽  
Finite State ◽  
Deteriorating Systems

This paper investigates inspection strategies for a finite-state continuous-time Markovian deteriorating system. Two inspection strategies are considered: sequential inspection and continuous inspection. Unlike many previous efforts, the inspection times for the sequential inspection strategy are assumed to be non-negligible. The replacement times and costs for both strategies are non-negligible and state dependent. Our objective here is to minimize the expected long-run cost rate. Iterative algorithms are provided to derive the optimal policies for both strategies. The structures of these optimal policies and their corresponding optimal cost rates are discussed and compared.

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