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World Pumps     Full-text available via subscription   (Followers: 2)
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Zeitschrift fur Energiewirtschaft     Hybrid Journal  
Вісник Приазовського Державного Технічного Університету. Серія: Технічні науки     Open Access  

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Journal Cover Journal of Quality in Maintenance Engineering
  [SJR: 0.503]   [H-I: 37]   [5 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1355-2511
   Published by Emerald Homepage  [335 journals]
  • Differences in adoption of global spare parts management in autonomous
           service units
    • Pages: 370 - 382
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 370-382, October 2017.
      Purpose The purpose of this paper is to study the adoption and motivation to adopt global spare parts practices in autonomous units servicing the products of an original equipment manufacturer. Design/methodology/approach The methodological approach is case study investigating the reasons for different levels of use and the perceptions regarding the benefits of a centralized supply chain management in four representative service units. Findings Autonomous spare part units often source locally because local suppliers are easy to work with in terms of purchasing processes and have no requirements for systematic planning and control of spare parts purchases and inventory management. However, increasing the share of centrally sourced and managed spare parts in the supply chain brings advantages in terms of lower total cost and higher availability. From the perspective of individual subunits engaged in providing product support services, this advantage of relying on a centrally managed spare parts supply chain of an original equipment manufacturer is not self-evident. Autonomous units frequently choose to continue sourcing spare parts from alternative sources, undermining the economies of scale attainable through the original equipment manufacturer’s supply chain. Higher levels of use are facilitated by back-office purchasing management at the unit level. The positive perceptions of centralized supply management in general – including the relationship between the supply unit and the service unit – further facilitate adoption, while local requirements and practices inhibit it. Research limitations/implications The study is a single case study and presents proposals requiring further study of the reasons for the observed differences in use of centralized supply chain management. Practical implications Centralized spare parts management service requires investment in back-office resources at the service unit level. Originality/value The research increases the practical relevance of existing research through an empirical investigation on the autonomous units’ motivations for and perceived benefits of centralized spare parts supply.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:06Z
      DOI: 10.1108/JQME-12-2012-0045
       
  • Condition-based maintenance modeling for a two-stage deteriorating system
           with random changes based on stochastic process
    • Pages: 383 - 399
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 383-399, October 2017.
      Purpose The purpose of this paper is to develop a condition-based maintenance (CBM) model for those systems subject to the two-stage deterioration including a deterioration pitting initiation process and a deterioration pitting growth process. Design/methodology/approach Regarding environmental changes as random shocks, the effect of environmental changes on the deterioration process is considered. Then, non-homogeneous Poison process and non-stationary gamma process are introduced to model the deterioration pitting initiation process and the deterioration pitting growth process, respectively. Finally, based on the deterioration model, a CBM policy is put forward to obtain the optimal inspection interval by minimizing the expected maintenance cost rate. Numerical simulations are given to optimize the performance of the deteriorating system. Meanwhile, comparisons between a single-stage deterioration model and a two-stage deterioration model are conducted to demonstrate the application of the proposed approach. Findings The result of simulation verifies that the deterioration rate is not constant in the life cycle and is affected by the environment. Furthermore, the result shows that the two-stage deterioration model proposed makes up for the shortage of single-stage deterioration models and can effectively reduce system failures and unreasonable maintenance caused by optimistic prediction using single-stage deterioration models. Practical implications In practical situations, except for normal deterioration caused by internal factors, many systems are also greatly influenced by the random shocks during operation, which are probably caused by the environmental changes. What is more, most systems have self-protection ability in some extent that protects them to keep running as new ones for some time. Under such circumstances, the two-stage deterioration model proposed can effectively reduce system failures and unreasonable maintenance caused by optimistic prediction using single-stage deterioration models. In the combination with the bootstrap estimation, the paper obtains the life distributions with approximate 95 percent confidence intervals which can provide valuable information for practical system maintenance scheduling. Originality/value This paper presents a new CBM model for those systems subject to the two-stage deterioration including a deterioration pitting initiation process and a deterioration pitting growth process. Considering the effect of the environmental change on the system deterioration process, a two-stage deterioration model with environmental change factors is proposed to describe the system deterioration.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:10Z
      DOI: 10.1108/JQME-11-2015-0061
       
  • Selecting a condition monitoring system for enhancing effectiveness of
           power transformer maintenance
    • Pages: 400 - 414
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 400-414, October 2017.
      Purpose The purpose of this paper is to propose a model for assisting in the decision-making process for acquiring a condition monitoring (CM) system for an oil-immersed power transformer in order to improve its maintainability. Design/methodology/approach The proposed model is based on the analytic hierarchy process. The assessment was performed by pairwise comparisons, and a sensitivity analysis (what-if analysis) was used to identify the implications of changing the criteria weights. In order to select the criteria and alternatives, a search was conducted for the power transformer failure modes, monitored parameters and CM technologies. Findings The proposed model provides a structured solution for a complex problem: deciding the best combination of technologies for CM of power transformers. Research limitations/implications Because the pairwise comparisons were done only by the author, the results may need to be improved with the assessment of more experts. Also, it was done for a specific type of transformer; it might be necessary to customise the alternatives for other cases. Finally, as a future consideration, more levels can be added to the hierarchy to improve the accuracy of the model. Practical implications The power transformer is an asset where the most appropriate maintenance strategy for it is condition-based maintenance. In order to improve its maintainability, it is recommendable to improve its testability and diagnosability. For achieving this goal, the maintenance personnel have to decide the best combination of technologies for CM. The methodology developed can assist the decision makers to select the most appropriate cost-benefit strategy. Originality/value The paper presents a structured and generic method of selecting the most appropriate CM system for power transformers.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:01Z
      DOI: 10.1108/JQME-07-2015-0027
       
  • A model of system limiting availability under imperfect maintenance
    • Pages: 415 - 436
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 415-436, October 2017.
      Purpose The purpose of this paper is to explore the impact of the Kijima Type II imperfect repair model on the availability of repairable systems (RS). Since many individuals are interested in measuring the extent to which the system will be available after it has been run for a long time, the specific interest in this study is in the steady-state (limiting) availability behavior of such systems. Furthermore, the authors study the impact of age-based preventive maintenance (PM) on the RS performance. Design/methodology/approach Because of the complexity of the underlying assumptions of the Kijima Type II model, the authors use simulation modeling to estimate the system availability. Based on preliminary simulation results, the availability function achieves a steady-state value greater than zero. The system steady-state availability is then estimated from the simulation output by computing the average of the availability estimates beyond the initial transient period. Next, the authors develop a meta-model to convert the system reliability and maintainability parameters into the coefficients of the limiting availability estimate without the simulation effort. Using a circumscribed central composite experimental design, the authors confirm the accuracy of the meta-model. Findings The results show that the meta-model is robust, and provides good estimates of the system limiting availability. Also, the authors find that when using a Kijima Type II model for a system repair process, age-based PM can improve the steady-state availability value. Therefore, an optimal age-based PM policy that maximizes the system’s steady-state availability can be identified. Originality/value In practice, it is important to study the system steady-state availability because many individuals, i.e. engineers, are more interested in measuring the extent to which the system will be available after it has been run for a long time. Therefore, this study represents a significant addition to the body of knowledge related to virtual age modeling, in that it incorporates a Kijima type II model and considers system steady-state availability.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:01Z
      DOI: 10.1108/JQME-06-2016-0024
       
  • Bibliometric review of improvements in building maintenance
    • Pages: 437 - 456
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 437-456, October 2017.
      Purpose The purpose of this paper is to review the status of knowledge on the subject of building maintenance from an integrated perspective that incorporates the building lifecycle, that is, from the design stage to the end of life. This work considered the main aspects to be taken into account in determining and implementing maintenance strategies, which requires a cross-sectional view of the entire construction process. At the same time, this approach contributes to the organisation of building management. Design/methodology/approach Bibliometric review has been carried out to identify relevant subjects and topics about scientific production on building maintenance by analysing the contents of about 745 publications, over the last 15 years, between 2000 and 2016 (first quarter). The survey results were gradually organised into a database grouped into seven main themes which were found to be more discussed and others six emergent themes with topics on building maintenance research. Findings This research enabled a synthesis of the focal points in the literature on building maintenance, as well as debates among researchers and institutions in the field. The result is a view to the future regarding what issues merit further research and what content requires greater depth of understanding, allowing us to envision research directions that encompass topics and sub-topics for future development. To this end, this bibliometric study draws on knowledge developed over the last 15 years, using research studies published in refereed journals indexed in ISI/SCOPUS as its data source. Originality/value The novelty of this topic, and the aspect in which it differs from existing studies, is that the researchers analysed a single sub-topic: that is, content regarding maintenance. Thus, this bibliometric literature review allows us to achieve a comprehensive and integrated view of key issues developed in the field of building maintenance. The results show which topics have been more thoroughly developed and which still exhibit gaps and weaknesses. This review allows us to envision well thought out guidelines for future development that have the potential to be relevant to progress in building maintenance research. It also contributes to our understanding of the state of the art in this field of knowledge.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:16Z
      DOI: 10.1108/JQME-07-2016-0030
       
  • An integrated strategy for fleet maintenance planning
    • Pages: 457 - 478
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 457-478, October 2017.
      Purpose Conventionally, fleet maintenance decisions are made based on the level of repair (LOR) analysis. A general assumption made during LOR analysis is the consideration of the lifetime distribution with constant failure rate (CFR). However, industries do use preventive maintenance (PM) to extend the life of such components, which in turn may affect the LOR decisions such as repair/move/discard. The CFR assumption does not allow the consideration of effect of PM in LOR analysis. The purpose of this paper is to develop a more practical LOR analysis approach, considering the time-dependent failure rate (TDFR) of components and the effect of PM. Design/methodology/approach In the proposed methodology, first, a detailed life cycle model considering the effect of various parameters related to LOR and PM is developed. A simulation-based genetic algorithm approach is then used to obtain an integrated solution for LOR and PM schedule decisions. The model is also evaluated for the various cases of quality of maintenance measured in terms of degree of restoration. Findings The results, from the illustrative example for a multi-indenture and multi-echelon fleet maintenance network, show that the proposed integrated strategy leads to better LCC performance compare to the conventional approach. Additionally, it is identified that the degree of restoration also affects the PM schedule as well as LOR decisions of the fleet system. Therefore, consideration of TDFR is important to truly optimize the LOR decisions. The proposed approach can be applied to fleet of any equipment. Research limitations/implications The approach is illustrated using a hypothetical example of an industrial system. A more complex system structure in terms of number of machines, types of machines (identical vs non-identical), number of echelons, possible repair actions at various echelons, etc. may be present for a particular industrial case. However, the approach presented is generic and can be extended to any system. Moreover, the aim of the paper is to highlight the importance of the considering PM and quality of maintenance in LOR decision making. Originality/value To the best of the authors’ knowledge, this is the first work which considers the effect of PM and quality of maintenance on LOR analysis. Consideration of TDFR and imperfect maintenance while optimizing LOR decisions is a complex problem. Thus, the work is of high significance from the research point of view. Also, most of the real life fleet systems use PM to extend the life of the equipment. Thus, present paper is a more practical approach for LOR analysis of such systems.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:01:05Z
      DOI: 10.1108/JQME-03-2016-0013
       
  • Bearing temperature monitoring of a Wind Turbine using physics-based model
    • Pages: 479 - 488
      Abstract: Journal of Quality in Maintenance Engineering, Volume 23, Issue 4, Page 479-488, October 2017.
      Purpose The purpose of this paper is to propose a method to monitor a Wind Turbine’s (WT) main bearing, based on the difference between the temperature as measured by the Supervisory Control and Data Acquisition system (SCADA). Design/methodology/approach The monitoring of the main bearing is based on the difference between the measured temperature and the estimated temperature obtained from a dynamic model. The model used is based on the law of energy conservation. Several validation metrics have suggested that this model is accurate. Findings The Exponentially Weighted Moving Average control chart for two cases studies is used for the monitoring for the main bearing; this method has shown great potential for industrial applications. A failure was detected three weeks before the current actual alarm settings used by SCADA were able to identify the issue. Originality/value The proposed method is a monitoring method that can be used on most industrial wind farms and provide important information on the condition of the WTs’ main bearing.
      Citation: Journal of Quality in Maintenance Engineering
      PubDate: 2017-10-16T01:00:59Z
      DOI: 10.1108/JQME-06-2016-0028
       
 
 
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