Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Iheukwumere-Esotu, Lilian. O.; Yunusa‐Kaltungo, Akilu

doi:10.3390/su13094619

Cited by 22 publications

(20 citation statements)

References 43 publications

(67 reference statements)

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“…However, their work was criticized for being limited to a single maintenance team. Hence, further validation is needed to account for scenarios that involve several maintenance teams working in parallel, especially during major overhauls, outages or shutdowns (MoOSTs) [157,158]. McArthur et al [159] proposed a machine-learning algorithm to visualise, predict and classify maintenance work orders.…”

Section: Maintenance Planning Scheduling and Visualizationmentioning

confidence: 99%

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Abideen¹,

Yunusa‐Kaltungo²,

Manu³

et al. 2022

Sustainability

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Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. Yet, this phase could account for approximately 60% of the total life cycle costs of assets. The purpose of this paper is to conduct a systematic literature review on the application of BIM in the O&M phase to identify current research trends, research gaps and future directions. This study achieves the aforementioned purpose by adopting the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). It employs qualitative and quantitative techniques to analyse the articles from a combination of three multi-disciplinary research databases, namely—Scopus, Web of Science and Engineering Village, which also comprises Compendex, InSpec, GeoRef and GeoBase sub-databases. After an in-depth review of 196 selected journal articles, this study systemically presents: (1) bibliometric analyses of the literature in BIM and O&M; (2) research patterns and trends; (3) drivers and barriers to BIM–O&M integration; and (4) research gaps mapped into a standard project management lifecycle to guide future research directions. The content analysis reveals that BIM has mainly been integrated under seven functions: information management (IM), advanced technology (AT), maintenance and asset management (MAM), indoor management (IM), performance assessment (PA), visualisation (V), and lean management (LM). Findings of the study reveal that the UK, USA and China are the top ranked countries with regards to research outputs on BIM–O&M integrations. The majority of BIM integrations within O&M falls under the information management function, whereas the least research output was recorded under lean management. In addition, the majority of studies focused on institutional and infrastructure facility types, but residential, industrial and commercial buildings were underrepresented, despite their disproportionate physical dominance within most societies. Findings also show that potential drivers and barriers for BIM integrations within O&M can be classified into three main categories—technical, organisational, and legal/contractual. It is then concluded that the application of BIM within O&M is still emerging, which further emphasises the need for more studies that address value realization in the context of BIM in O&M, with particular focus on the specific O&M principles for different building types.

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Section: Maintenance Planning Scheduling and Visualizationmentioning

confidence: 99%

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Abideen¹,

Yunusa‐Kaltungo²,

Manu³

et al. 2022

Sustainability

Self Cite

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“…Rather, the norm was to assign MoOSTs objectives and criticality in activities critical paths based on project objectives obtained through mathematical analysis, (usually a "forward pass," "backward pass," and "float calculation"). The effect of adopting traditional project-based objectives might limit the examination of critical activities in MoOSTs if the aim is to engender experience-based learning [89]. Furthermore, lack of ownership was identified as a main barrier to learning, because MoOSTs are labor intensive, substantial number of outsourced resources are committed towards each cycle.…”

Section: Data Analysis Of Semi-structured Interview-thematic Analysismentioning

confidence: 99%

Knowledge Management and Experience Transfer in Major Maintenance Activities: A Practitioner’s Perspective

Iheukwumere-Esotu

Yunusa‐Kaltungo

2021

Sustainability

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Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are significant maintenance interventions needed on a periodic basis to optimise the performance of physical industrial assets (PIAs). However, uncertainties in the forms of emergent and discovery work which sometimes cause delays and cost overruns are quite common partly because, MoOSTs are characterised by inherent challenges such as, but not limited to, short execution spans, volatility in ever-evolving schedules, task complexities as well as huge offline production and/or operation costs etc. Furthermore, in the literature, other complex elements which further constrains decision-makers in MoOSTs from satisfactorily achieving predetermined objectives have been identified, one of which is the lack of a formalised approach for capturing tacit knowledge from experienced practitioners. Consequently, because MoOSTs is an applied discipline, significant human endeavours are required in the planning and management, which makes it pertinent to examine and obtain the perspectives of experienced MoOSTs practitioners. Therefore, the aims of this study are two folds; firstly, to examine the extent of alignment between findings from literature as it relates to the challenges encountered during MoOSTs, as well as probe their underlying causes in practice. Secondly, to show how relevant the findings from this study would be in providing a baseline for establishing a proposal for capturing MoOSTs knowledge and the transfer of experience. The research approach adopted; thematic synthesis of themes which emerged from knowledge management challenges in MoOSTs identified via an earlier systematic literature review (SLR); and then, the identified challenges were validated through conducting interviews with practitioners. Demography analysis as well as specific MoOSTs related questions were administered via questionnaires, which were then analysed using frequency analysis method. Additionally, semi-structured interviews were conducted to investigate the perceptions of practitioners on pertinent MoOSTs issues. Both questionnaires and interview questions were formulated by findings obtained from the SLR, so as to examine whether the knowledge management challenges identified in the literature exist in practice, and if they do to what extent. In total, the selected responses of 49 practitioners, with origin across five industries were examined to determine the extent of alignment between literature and the practice-based perspectives. Based on the results, nine challenges were identified as critical themes, six of which were associated with managing knowledge. The study identified not only known constraints from literature but also their underlying causes based on the perspective of practitioners involved in multiple MoOSTs, which is crucial for developing sustainable mitigation. A unique contribution of this research is the mapping of demographic information such as industry, country, job class, years of experience, MoOSTs organization size, frequency for performing MoOSTs, etc., to responses obtained from participants, which has not been shown in literature prior to now. The importance of such rigorous efforts in the research design, is crucial for enabling the adoption of holistic approaches to eliminating the underlying causes of challenges encountered in MoOSTs, based on first hand reporting of people involved. In addition, the relevance of such first-hand analyses of responses obtained from this study; serve as baseline for the introduction of the proposal to adequately manage knowledge management issues in this discipline.

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“…With the solution string constructed, the number of preventive maintenance action (N) was set to N max and the threshold of reliability. The algorithm was set in such a way that for each N (1:N max ) selected, the maintenance time was evaluated using Equation (6). The total maintenance time takes care of both the planned preventive and corrective maintenance times.…”

Section: Optimization Algorithmmentioning

confidence: 99%

“…This technique was used to determine the effects of maintenance decisions, as well as their operational implications. Another work by Esotu and Kaltingo [6] proposed a quantitative and qualitative hybrid model that analyzes the criticality assessment values of major overhauls, outages, shutdowns, and turn-arounds (MOOST) activities that effectively benefits from criticality assessment to reduce task uncertainties in a system, either in plants or businesses. To properly increase sustainability and improve reliability, plant disaster and system failure analysis should be ensured [7].…”

Section: Introductionmentioning

confidence: 99%

Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

2021

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The supply of PV power that satisfies the needs of customers is heavily dependent on the reliability of the generating plants. However, irrespective of the robustness of the design of such physical industrial assets, they tend to depreciate with usage and/or age which, in turn, increases the allowance between the design and the operational capabilities. Therefore, to ameliorate the reliability of the system, a combination of selective and preventive maintenance actions were planned by determining the best combination (optimal preventive maintenance intervals, optimal replaced components). In this work, we developed an optimal preventive maintenance strategy with minimal repair using the iterative numerical technique for a PV plant, with and without considering the influence of environmental conditions on the system. An algorithm was developed on MATLAB to determine the optimal number of preventive maintenance actions that yields the maximum availability by selecting the components to be maintained based on the reliability threshold, without considering the environmental impact on the components. The environmental elements’ criticality was introduced, and the reliability reiterated based on the new technique. Finally, by maximizing the availability of the system, an optimal preventive maintenance for a finite horizon was established.

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Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Cited by 22 publications

References 43 publications

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Knowledge Management and Experience Transfer in Major Maintenance Activities: A Practitioner’s Perspective

Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

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