The Experts below are selected from a list of 20898 Experts worldwide ranked by ideXlab platform
Hou Lei Tsao - One of the best experts on this subject based on the ideXlab platform.
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rolling stock Maintenance Strategy selection spares parts estimation and replacements interval calculation
International Journal of Production Economics, 2010Co-Authors: Yung Hsiang Cheng, Hou Lei TsaoAbstract:The purpose of this paper is to permit an approach for: (1) selecting a Maintenance Strategy for rolling stock and (2) obtaining possible spare parts' quantities and replacement intervals for the components of rolling stock. The methodology adopts an analytic network process (ANP) technique for the Strategy evaluation, because ANP considers the important interactions among evaluation factors. The ANP's result decides upon a proper rolling stock Maintenance Strategy formed by various combinations of preventive Maintenance (PM) and corrective Maintenance (CM). The ratio PM/CM, obtained by ANP, can help to predict spare parts' quantities of the components of rolling stock. The empirical result also indicates that preventive Maintenance should be much more valued than corrective Maintenance. In addition, safety is considered the most crucial factor for the selection of a rolling stock Maintenance Strategy. The fruit of this study serves as a reference for railway system operators when evaluating their rolling stock Maintenance Strategy and also when estimating their spare parts' quantities and replacement intervals for specific components of the rolling stock.
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Rolling stock Maintenance Strategy selection, spares parts' estimation, and replacements' interval calculation
International Journal of Production Economics, 2010Co-Authors: Yung Hsiang Cheng, Hou Lei TsaoAbstract:The purpose of this paper is to permit an approach for: (1) selecting a Maintenance Strategy for rolling stock and (2) obtaining possible spare parts' quantities and replacement intervals for the components of rolling stock. The methodology adopts an analytic network process (ANP) technique for the Strategy evaluation, because ANP considers the important interactions among evaluation factors. The ANP's result decides upon a proper rolling stock Maintenance Strategy formed by various combinations of preventive Maintenance (PM) and corrective Maintenance (CM). The ratio PM/CM, obtained by ANP, can help to predict spare parts' quantities of the components of rolling stock. The empirical result also indicates that preventive Maintenance should be much more valued than corrective Maintenance. In addition, safety is considered the most crucial factor for the selection of a rolling stock Maintenance Strategy. The fruit of this study serves as a reference for railway system operators when evaluating their rolling stock Maintenance Strategy and also when estimating their spare parts' quantities and replacement intervals for specific components of the rolling stock. © 2010 Elsevier B.V.All rights reserved.
Yung Hsiang Cheng - One of the best experts on this subject based on the ideXlab platform.
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rolling stock Maintenance Strategy selection spares parts estimation and replacements interval calculation
International Journal of Production Economics, 2010Co-Authors: Yung Hsiang Cheng, Hou Lei TsaoAbstract:The purpose of this paper is to permit an approach for: (1) selecting a Maintenance Strategy for rolling stock and (2) obtaining possible spare parts' quantities and replacement intervals for the components of rolling stock. The methodology adopts an analytic network process (ANP) technique for the Strategy evaluation, because ANP considers the important interactions among evaluation factors. The ANP's result decides upon a proper rolling stock Maintenance Strategy formed by various combinations of preventive Maintenance (PM) and corrective Maintenance (CM). The ratio PM/CM, obtained by ANP, can help to predict spare parts' quantities of the components of rolling stock. The empirical result also indicates that preventive Maintenance should be much more valued than corrective Maintenance. In addition, safety is considered the most crucial factor for the selection of a rolling stock Maintenance Strategy. The fruit of this study serves as a reference for railway system operators when evaluating their rolling stock Maintenance Strategy and also when estimating their spare parts' quantities and replacement intervals for specific components of the rolling stock.
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Rolling stock Maintenance Strategy selection, spares parts' estimation, and replacements' interval calculation
International Journal of Production Economics, 2010Co-Authors: Yung Hsiang Cheng, Hou Lei TsaoAbstract:The purpose of this paper is to permit an approach for: (1) selecting a Maintenance Strategy for rolling stock and (2) obtaining possible spare parts' quantities and replacement intervals for the components of rolling stock. The methodology adopts an analytic network process (ANP) technique for the Strategy evaluation, because ANP considers the important interactions among evaluation factors. The ANP's result decides upon a proper rolling stock Maintenance Strategy formed by various combinations of preventive Maintenance (PM) and corrective Maintenance (CM). The ratio PM/CM, obtained by ANP, can help to predict spare parts' quantities of the components of rolling stock. The empirical result also indicates that preventive Maintenance should be much more valued than corrective Maintenance. In addition, safety is considered the most crucial factor for the selection of a rolling stock Maintenance Strategy. The fruit of this study serves as a reference for railway system operators when evaluating their rolling stock Maintenance Strategy and also when estimating their spare parts' quantities and replacement intervals for specific components of the rolling stock. © 2010 Elsevier B.V.All rights reserved.
Mehmet Bayram Yildirim - One of the best experts on this subject based on the ideXlab platform.
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A sustainability approach for selecting Maintenance Strategy
International Journal of Sustainable Engineering, 2013Co-Authors: Farnaz Ghazi Nezami, Mehmet Bayram YildirimAbstract:Appropriate Maintenance can prolong the life of an asset and prevent costly breakdowns that may result in lost production, failed shipping schedules and a decline in customer satisfaction. The goal of this study was to present a comprehensive framework that utilises sustainability metrics based on social, environmental and economic criteria to select an appropriate Maintenance Strategy among a variety of Maintenance Strategy alternatives, such as preventive, failure-based, reliability-centred, condition-based and total productive Maintenance strategies, for a manufacturing company. The sustainability-based approach may significantly influence the personnel, energy, material and the overall costs in a company. In the first step of this paper, a sustainability-based decision-making structure is proposed for the Maintenance Strategy selection problem applying the concept of factor analysis to determine the leading factors in each of the sustainability pillars. In the next step, a fuzzy VIKOR framework is use...
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A framework for a fuzzy sustainable Maintenance Strategy selection problem
Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology, 2011Co-Authors: Farnaz Ghazi Nezami, Mehmet Bayram YildirimAbstract:This paper presents fuzzy sustainable Maintenance Strategy selection problem. Selecting the most appropriate Maintenance Strategy provides significant savings in lost production cost, power consumption and lifecycle costs. In this research, a bi-level sustainability-based Maintenance Strategy selection framework is proposed under uncertain judgments of decision makers. In the first step, all related sustainability criteria which can affect Maintenance Strategy selection process is determined and then factor analysis method has been applied to identify the underlying structure among these criteria. In the next step, fuzzy VIKOR method is applied to select the best Maintenance Strategy. The proposed framework is illustrated through a case study in a manufacturing firm.
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A framework for a fuzzy sustainable Maintenance Strategy selection problem
Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology, 2011Co-Authors: Farnaz Ghazi Nezami, Mehmet Bayram YildirimAbstract:SELECTING the most appropriate Maintenance Strategy provides significant savings in lost production cost, power consumption and lifecycle costs. In this research, a bi-level sustainability-based Maintenance Strategy selection framework is proposed under uncertain judgments of decision makers. In the first step, all related sustainability criteria which can affect Maintenance Strategy selection process is determined and then factor analysis method has been applied to identify the underlying structure among these criteria. In the next step, fuzzy VIKOR method is applied to select the best Maintenance Strategy. The proposed framework is illustrated through a case study in a manufacturing firm.
Tao Yang - One of the best experts on this subject based on the ideXlab platform.
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opportunistic Maintenance Strategy for wind turbines considering weather conditions and spare parts inventory management
Renewable Energy, 2019Co-Authors: Chen Zhang, Tao YangAbstract:Abstract The wind power industry has experienced rapid growth over the past few decades, but the operation and Maintenance costs have become huge challenges to achieve better economic returns and enhance the market competitiveness. In this paper, an opportunistic Maintenance Strategy for wind turbines considering stochastic weather conditions and spare parts management is proposed. The Markov chain model is adopted to generate wind speed time series and obtain the Maintenance wait time owing to weather restrictions. The opportunistic Maintenance threshold is a dynamic value related to the wind speed to reduce power generation losses. Moreover, the ( s , S ) inventory policy, with the reorder stock level s and maximum stock level S , is employed. Numerical examples are used to illustrate the economic advantages of the proposed Strategy. Compared with a static opportunistic Maintenance Strategy and a Strategy not considering opportunistic Maintenance, the life cycle operation and Maintenance cost for the proposed dynamic opportunistic Maintenance Strategy shows a decline of 10.927% and 18.304%, respectively. The optimal Maintenance and inventory Strategy is obtained with the decision variables of opportunistic Maintenance reliability threshold and reorder stock level, and the effects of various applied parameters are described.
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Effects of Power Generation on the Opportunistic Maintenance Strategy for Wind Turbines Considering Reliability
Volume 3: Manufacturing Equipment and Systems, 2018Co-Authors: Chen Zhang, Tao Yang, Honggang DingAbstract:Corrective Maintenance and preventive Maintenance are two common Maintenance strategies used in the wind farms, whose drawbacks are obvious and significant. Opportunistic Maintenance Strategy takes advantage of the dependencies existing among the wind turbine components and implement combined Maintenance actions to reduce the huge downtime cost. The opportunistic Maintenance Strategy for wind turbines has made a great progress, as well as the Strategy considering imperfect and condition-based Maintenance. However, existing Maintenance Strategy researches are usually concerned with the Maintenance itself and the effects of power generation are barely considered. Nowadays, a current research trend in manufacturing system is the integration of Maintenance and production planning. In this paper, the effects of power generation on opportunistic Maintenance Strategy for wind turbines considering reliability are researched. The opportunistic Maintenance reliability threshold is not constant and depends on the real-time power generation. Numerical examples are used to illustrate the economical advantages of this proposed Strategy over traditional opportunistic Maintenance Strategy. Moreover, the optimal Maintenance combination is also provided.
Hadi Abdollahzadeh - One of the best experts on this subject based on the ideXlab platform.
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reliability optimization of wind farms considering redundancy and opportunistic Maintenance Strategy
Energy Conversion and Management, 2016Co-Authors: Karim Atashgar, Hadi AbdollahzadehAbstract:Abstract In this paper, a joint redundancy and imperfect block opportunistic Maintenance optimization model is formulated. The objective is to determine the wind farm redundancy level and the Maintenance Strategy which will simultaneously minimize the wind farm loss of load probability and life cycle cost. A new opportunistic Maintenance approach is developed to take advantages of the Maintenance opportunities. Different reliability thresholds are introduced for imperfect Maintenance of failed turbines and working turbines and preventive dispatching of Maintenance teams. In addition, a simulation method is developed to evaluate the performance measures of a wind farm system considering different types of wind turbine, Maintenance activation delays and durations, and limited number of Maintenance teams. Sensitivity analysis is conducted to discuss the influence of the different assumption and parameters of simulation model over the wind farm performance. Pareto optimal solutions are driven based on a multi-objective particle swarm optimization algorithm. Comparative study with the commonly used Maintenance policy demonstrates the advantages of the proposed opportunistic Maintenance Strategy in significantly reducing Maintenance cost and loss of load probability.
