Long-term predictive opportunistic replacement optimisation for a small multi-component system using partial condition monitoring data to date

Xiao, Lei; Xia, Tangbin; Pan, Ershun; Zhang, Xinghui

doi:10.1080/00207543.2019.1641236

Cited by 15 publications

(9 citation statements)

References 33 publications

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“…These challenges underscore the need to establish clear maintenance objectives, strategies and maintenance data management practices. Consequently, organizations can articulately generate knowledge from maintenance data for use in decision support as also corroborated by (Xiao et al , 2019). Therefore, maintenance strategies (e.g.…”

Section: Introductionmentioning

confidence: 73%

“…Various maintenance strategies are employed widely to enhance APM by addressing and preventing failures, hence enhancing the productivity and profitability of a production system (Xiao et al , 2019). Common and widely implemented maintenance strategies include corrective maintenance and preventive maintenance which subsumes time-based (predetermined interval) and CBM.…”

Section: Relevant Literature Reviewmentioning

confidence: 99%

“…CBM strategy is undertaken to detect and identify potential failures for accurate intervention before their occurrence. Moreover, condition monitoring techniques are utilized to point the existence of the problem, its severity, failure mode occurrence in specific components and root cause analysis of the problem (Xiao et al , 2019). Various condition monitoring techniques are employed under CBM like vibration analysis, tribology and oil analysis, thermography, acoustic and ultrasound analysis (Wakiru et al , 2019b).…”

Section: Relevant Literature Reviewmentioning

confidence: 99%

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A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries

Wakiru

Pintelon

Muchiri

et al. 2021

IJQRM

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PurposeThe present study empirically compares maintenance practices under asset performance management (APM), employed by firms in developed and developing countries (Belgium and Kenya, respectively).Design/methodology/approachEmpirical observations and theoretical interpretations on maintenance practices under APM are delineated. A comparative cross-sectional survey study is conducted through an online questionnaire with 151 respondents (101 Kenya, 50 Belgium). Descriptive statistics and inferential statistics like independent t-test and phi coefficient were used for analyzing the data.FindingsIn both countries, reduction of maintenance and operational budget, return on assets, asset ageing and compliance aspects were established as critical factors influencing the implementation of asset maintenance and performance management (AMPM). A significant difference in staff competence in managing vibration, ultrasound and others like predictive algorithms was found to exist between the firms of the two countries. The majority of firms across the divide utilize manual and computer-based tools to integrate and analyse various maintenance data sets, while standardization and maintenance knowledge loss were found to adversely affect maintenance data management.Research limitations/implicationsThe study findings are based on the limited number of returned responses of the survey questionnaire and focused on only two countries representing developed and developing economies. This study not only provides practitioners with the practical guidelines for benchmarking, but also induces the need to improve the asset maintenance strategies and data application practices for asset performance management.Practical implicationsThe paper provides insights to researchers and practitioners in the articulation of imperative effective maintenance strategies, benchmarking and challenges in their implementation, considering the different operational context.Originality/valueThe paper contributes to theory and practice within the field of AMPM where no empirical research comparing developed and developing countries exist.

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Section: Introductionmentioning

confidence: 73%

Section: Relevant Literature Reviewmentioning

confidence: 99%

Section: Relevant Literature Reviewmentioning

confidence: 99%

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A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries

Wakiru

Pintelon

Muchiri

et al. 2021

IJQRM

View full text Add to dashboard Cite

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“…Several use cases which used the digital twins for life-cycle management of different systems have been examined in the work of Macchi et al (2018) . Examples of such cases used in different industries include (i) Optimised maintenance planning and decision making on the structure subjected to different failure modes ( Kampczyk, 2020 ; Wang et al, 2019 ; Xiao et al, 2019 ), (ii) System life-cycle modelling ( Kaewunruen and Lian, 2019 ; Lim et al, 2019 ), and (iii) System performance optimisation ( Zhang et al, 2017 ; Guerra et al, 2019 ).…”

Section: Reliability Analysis Of the Integrated Systemmentioning

confidence: 99%

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

Aryai

Abdussamie

Salehi

et al. 2021

Process Safety and Environmental Protection

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Sustainable use of the ocean for food and energy production is an emerging area of research in different countries around the world. This goal is pursued by the Australian aquaculture, offshore engineering and renewable energy industries, research organisations and the government through the “Blue Economy Cooperative Research Centre”. To address the challenges of offshore food and energy production, leveraging the benefits of co-location, vertical integration, infrastructure and shared services, will be enabled through the development of novel Multi-Purpose Offshore-Platforms (MPOP). The structural integrity of the designed systems when being deployed in the harsh offshore environment is one of the main challenges in developing the MPOPs. Employing structural reliability analysis methods for assessing the structural safety of the novel aquaculture-MPOPs comes with different limitations. This review aims at shedding light on these limitations and discusses the current status and future directions for structural reliability analysis of a novel aquaculture-MPOP considering Australia’s unique environment. To achieve this aim, challenges which exist at different stages of reliability assessment, from data collection and uncertainty quantification to load and structural modelling and reliability analysis implementation, are discussed. Furthermore, several solutions to these challenges are proposed based on the existing knowledge in other sectors, and particularly from the offshore oil and gas industry. Based on the identified gaps in the review process, potential areas for future research are introduced to enable a safer and more reliable operation of the MPOPs.

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“…The PM problem of MMSs belongs to the PM problems of multi-unit manufacturing systems, and many PM policies and models have been proposed for this type of problems. [6][7][8][9][10][11][12][13] However, existing PM policies and models for multi-unit manufacturing systems mostly focus on improving unit reliability and reducing maintenance cost, while they seldom consider the improvement of product quality. For MMSs, product quality is as important as machine reliability; thus, product-quality improvement should be considered in the PM scheduling of MMSs.…”

Section: Introductionmentioning

confidence: 99%

A QMM-MOP methodology for the maintenance scheduling of multistage manufacturing systems with a stream of deterioration

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In multistage manufacturing systems, a stream-of-deterioration (SOD) phenomenon poses two challenges for effective preventive-maintenance (PM) scheduling. First, the deterioration of each machine contributes to the deterioration of the final-product quality, and thus timely PM should be conducted to prevent excessive quality deterioration. Second, the deterioration of different machines leads to different degrees of deterioration in the final-product quality; thus, the PM of different machines will result in different degrees of improvement in the final-product quality. To address both challenges, a QMM-MOP methodology that adopts an interactive bi-level scheduling framework is proposed. In machine-level scheduling, a quality-integrated maintenance model (QMM) is developed by incorporating intermediate-product quality deterioration into the total cost to schedule timely PM for each individual machine. In system-level scheduling, maintenance-operation prioritization (MOP), based on a SOD-enabled quality-improvement factor, is proposed to select machines for PM. The case study shows that the proposed methodology can ensure a higher final-product quality with a lower total cost. The contribution of this paper is to develop a QMM-MOP methodology that integrates product-quality improvement into an interactive bi-level PM scheduling framework and enables MOP based on the-quality improvement factor to best improve the final-product quality.

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Long-term predictive opportunistic replacement optimisation for a small multi-component system using partial condition monitoring data to date

Cited by 15 publications

References 33 publications

A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries

A comparative analysis of maintenance strategies and data application in asset performance management for both developed and developing countries

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

A QMM-MOP methodology for the maintenance scheduling of multistage manufacturing systems with a stream of deterioration

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