Research on Bridge Maintenance Decision-Making Based on Sustainable Development

2012 ◽  
Vol 610-613 ◽  
pp. 1130-1133 ◽  
Author(s):  
Yu Meng Wu ◽  
Yu Zhe Wu
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Markov Process ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Bridge Maintenance ◽  
Maintenance Decision

As number of aged bridges increases, determining how to generate bridge maintenance strategy gradually becomes a research hotspot. Markov process was used to analyze bridge maintenance cost according to its characteristics during serving period. A kind of maintenance decision-making method was put forward based on OWA and OWGA from the angle of sustainable development. And this method was proved applicable by an example.

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 Research on Multi-Attribute Decision-Making in Condition-Based Maintenance for Power Transformers Based on Cloud and Kernel Vector Space Models

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5948
Author(s):  
Renxi Gong ◽  
Siqiang Li ◽  
Weiyu Peng
Keyword(s):  
Decision Making ◽  
Vector Space ◽  
Assessment System ◽  
Condition Based Maintenance ◽  
Power Transformers ◽  
Maintenance Strategy ◽  
Cloud Models ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
Vector Space Models

Decision-making for the condition-based maintenance (CBM) of power transformers is critical to their sustainable operation. Existing research exhibits significant shortcomings; neither group decision-making nor maintenance intention is considered, which does not satisfy the needs of smart grids. Thus, a multivariate assessment system, which includes the consideration of technology, cost-effectiveness, and security, should be created, taking into account current research findings. In order to address the uncertainty of maintenance strategy selection, this paper proposes a maintenance decision-making model composed of cloud and vector space models. The optimal maintenance strategy is selected in a multivariate assessment system. Cloud models allow for the expression of natural language evaluation information and are used to transform qualitative concepts into quantitative expressions. The subjective and objective weights of the evaluation index are derived from the analytic hierarchy process and the grey relational analysis method, respectively. The kernel vector space model is then used to select the best maintenance strategy through the close degree calculation. Finally, an optimal maintenance strategy is determined. A comparison and analysis of three different representative maintenance strategies resulted in the following findings: The proposed model is effective; it provides a new decision-making method for power transformer maintenance decision-making; it is simple, practical, and easy to combine with the traditional state assessment method, and thus should play a role in transformer fault diagnosis.

A Review of Genetic Algorithms Applied to Optimizing Maintenance Strategy of Bridges

2011 ◽  
Vol 374-377 ◽  
pp. 2437-2441
Author(s):  
Jing Mei Bian ◽  
Quan Bai ◽  
Qing Hua Shi
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Search Algorithms ◽  
Evolutionary Search ◽  
Maintenance Strategy ◽  
Research Focus ◽  
Current State ◽  
Bridge Maintenance ◽  
State Of Research

Abstract:Along with the fast increasing of maintenance demand, the problems associated with maintenance and reinforcement decision-making for deteriorating bridges such as maintenance strategy optimization have been present research focus. The solutions to these problems have inspired a considerable amount of research, one particular area being the application of evolutionary search algorithms such as the genetic algorithm (GA). This paper begins with a brief overview of bridge maintenance strategy optimization followed by a review of the current state of research in applying evolutionary techniques to solving this problem.

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 comprehensive evaluation algorithm for project-level bridge maintenance decision-making

2021 ◽  
pp. 125713
Author(s):  
Chengzhong Gui ◽  
Jinquan Zhang ◽  
Junqing Lei ◽  
Yun Hou ◽  
Yanhong Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Comprehensive Evaluation ◽  
Bridge Maintenance ◽  
Evaluation Algorithm ◽  
Maintenance Decision ◽  
Project Level

A Risk-Based Maintenance Decision-Making Approach for Railway Asset Management

2018 ◽  
Vol 28 (04) ◽  
pp. 453-483 ◽  
Author(s):  
Li Wang ◽  
Min An ◽  
Yong Qin ◽  
Limin Jia
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Risk Model ◽  
Cost Model ◽  
Fuzzy Ahp ◽  
Maintenance Cost ◽  
Modeling Methodology ◽  
Maintenance Decision ◽  
Support Model ◽  
Decision Making Support

This paper presents a risk-based maintenance decision making modeling methodology for railway asset maintenance optimization, which takes risk and maintenance cost objectives into consideration in the decision making process. A bottom-up risk analysis approach has been developed by using fuzzy reasoning approach (FRA) and fuzzy-analytical hierarchy process (Fuzzy-AHP) to produce a risk model. A total cost model has also been developed to estimate repair/renewal, maintenance and performance review costs. A risk-based maintenance decision making support model has then been developed by integrating the risk model with cost model in which multi-criteria decision making (MCDM) techniques are employed to process the proposed risk-based maintenance decision making support model. An illustrative example on a section of a track system maintenance decision selection is used to demonstrate the application of the proposed methodology. The results show that by using the proposed methodology the qualitative and quantitative risk data and information with maintenance costs associated with railway assets can be evaluated efficiently and effectively, which provide very useful information to railway engineers, managers, and decision makers.

scholarly journals Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs

2018 ◽  
Vol 10 (7) ◽  
pp. 2480 ◽  
Author(s):  
Jin-Up Kim ◽  
Oussama Hadadi ◽  
Hyunjoo Kim ◽  
Jonghyeob Kim
Keyword(s):  
Decision Making ◽  
Energy Savings ◽  
Recovery Period ◽  
Maximum Energy ◽  
Economic Feasibility ◽  
Information Modeling ◽  
Maintenance Cost ◽  
Cycle Period ◽  
Maintenance Decision ◽  
Energy Simulations

Eco-friendly materials have been developed recently that have made it possible to significantly reduce the maintenance cost of buildings when they are appropriately used in renovation. Indeed, it became extremely important to consider the eco-friendly energy-saving effects on design alternatives during renovation. The present study proposes a framework for the optimum maintenance decision-making model for considering eco-friendly energy to help people interested in making decisions concerning renovation; it requires that both the environmental friendliness and economic feasibility of the target building be simultaneously considered. Several studies mainly cover the structural aspects for energy improvements based on innovation and technology. However, energy simulation in existing buildings needs some additional consideration regarding the economic analysis of energy savings and the recovery period of construction costs. A case study was conducted as a research method by utilizing the proposed framework, which aims to: (1) make energy simulations with different basic design assumptions; (2) perform the energy simulations through building information modeling (BIM) technology; and (3) analyze the economic feasibility of the alternatives. As a result, an alternative combination that can save the net maximum energy cost during the life cycle period and invest the lowest renovation costs has been recommended. Furthermore, effective guidelines were proposed on which items the building owner values, depending on his economic investment conditions in decision-making regarding the level of design, through a comprehensive review of the energy savings by design variable. It is expected that the research findings will be utilized in the decision-making process and for conducting further relevant research in future.

BRIDGE MAINTENANCE DECISION-MAKING MODEL

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Wisalee Nimmahnpatchrin ◽  
Ghada M Gad
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Management Strategies ◽  
Good Condition ◽  
Effective Practices ◽  
Bridge Management ◽  
Bridge Maintenance ◽  
Maintenance Decision ◽  
Decision Making Model

As bridge infrastructure continues to age and deteriorate, maintenance is essential for keeping the bridges in good condition. However, owners have limited funds, thus, they need to select the most suitable maintenance option at the right time to minimize the cost. With all the advancements in processes and tools used to manage the bridge infrastructure, many US States continue to report high numbers of structurally deficient bridges, one of which is California State Department of Transportation (Caltrans). The objective of this study is (1) identifying effective practices used by owners in bridge maintenance management and (2) developing a decision-making model to maintain the bridges, using Caltrans as a case study. To achieve this objective, the methodology of the study is divided into three steps: (1) a review of the current state of practice of bridge maintenance decision-making processes and bridge asset management strategies currently used by US Department of Transportations (DOTs) that had shown improvement in their bridge management strategies, (2) a conducted in-depth case study of the Caltrans maintenance decision-making practices, (3) based on both the review of literature and the data collected from the case study, a revised bridge maintenance decision-making process is developed and presented using a swim lane diagram. The proposed model builds on exiting DOTs’ effective practices and optimizes the selection of bridge maintenance decisions, including repair, rehabilitation, and replacement. The developed maintenance decision-making framework could potentially improve the effectiveness of bridge maintenance operations and help decision-makers effectively select and prioritize the bridge maintenance options.

Sustainable Development in Manufacturing Systems

2017 ◽  
pp. 201-224
Author(s):  
Farnaz Ghazi Nezami ◽  
Ali Ghazinezami ◽  
Krishna K. Krishnan
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Operations Management ◽  
Manufacturing Systems ◽  
Industrial Sector ◽  
Maintenance Strategy ◽  
Energy Aware ◽  
Planning Decisions ◽  
Management Approaches

This chapter discusses sustainable development (SD) planning in manufacturing facilities. The industrial sector uses half of the world's energy, and manufacturing, as the core of this sector, contributes significantly to energy consumption and environmental footprints. In this chapter, in the first step, energy consumption, as one of the main factors influencing SD in manufacturing, is analyzed from different perspectives, and its impact on SD is studied. Thereafter, several energy-aware operations management approaches are proposed. These approaches integrate energy consumption into classic production planning and scheduling decisions. In the second step, a generic sustainability-based decision-making framework is proposed for maintenance strategy selection problem, considering three pillars of sustainability. For this purpose, various indicators are proposed for each sustainability factor that has an impact on maintenance planning decisions. The maintenance strategy alternatives are evaluated for each indicator and the best alternative is selected using a decision-making method.

Maintenance Decision-Making Under the Cost Criterion and the Competing Risks Approach

2017 ◽  
Vol 9 (1) ◽  
pp. 32-48 ◽  
Author(s):  
Rima Oudjedi Damerdji ◽  
Myriam Noureddine
Keyword(s):  
Decision Making ◽  
Competing Risks ◽  
Preventive Maintenance ◽  
Optimal Operation ◽  
Maintenance Cost ◽  
Delay Model ◽  
Maintenance Policy ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
Optimal Maintenance Policy

The definition of an appropriated maintenance policy appears essential to avoid the system failures and ensure its optimal operation, while taking into account the criteria of availability and costs. This article deals with a maintenance decision-making for a system subject to two competing maintenance actions, corrective and preventive maintenance. To define this situation of dependent competing risks, the Alert Delay model seems well suited because it involves the notion of a delivered alert before system failure in order to perform preventive maintenance. This paper proposes an approach including both an extension of the Alert Delay model where the considered system follows an exponential distribution, and the total maintenance cost assessment of the system. These two concepts provide an aid decision-making to select the optimal maintenance policy based on the minimal cost. The proposed approach is validated in a computer system localized in a real industrial enterprise.

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