A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?

Alvanchi, Amin; TohidiFar, Ali; Mousavi, Milad; Azad, Reza Khoshrooz; Rokooei, Saeed

doi:10.1016/j.compind.2021.103484

Cited by 18 publications

(10 citation statements)

References 61 publications

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“…Three research strategies are predominant in the sample analysed: case study research, literature reviews and mixed methods approach. Case study research is adopted in 33 of the research works, followed by the other two categories (literature and mixed methods), which count approximately the same number of studies (32). The distribution of research articles according to their research method is shown in Figure 6.…”

Section: Bibliometric Analysismentioning

confidence: 99%

“…Concerning BIM application to FM objectives, Besenyoi et al [71] propose a system for managing unexpected FM activities for events or temporary situations. Guzzetti et al [79] approach the theme of improving O&M through BIM and virtual reality, and Alvanchi et al [32] focus on BIMbased corrective maintenance models. Kiviniemi and Codinhoto [76] document some of the issues involved in adopting BIM for the FM stage.…”

Section: Research Trendsmentioning

confidence: 99%

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A Review of Building Information Modelling (BIM) for Facility Management (FM): Implementation in Public Organisations

2022

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Building Information Modelling (BIM) has been extensively studied and applied within the AEC sector, particularly in design and construction. In recent years, Facility Management (FM) processes are becoming more digitalised, thus requiring effective BIM-FM integration. BIM adoption in many countries, such as the UK, Italy and Brazil, has been publicly driven. Generally, adoption was targeted at design and construction implementation, with little effort in framing public action for FM implementation. The lack of an integrated approach for BIM-FM implementation resulted in numerous bespoken implementation approaches that mimic the private sector and hinder knowledge exchange. Therefore, there is a need for assessing and amalgamating knowledge about BIM-FM for public organisations. This research aims to leverage knowledge about BIM-FM in the public domain by analysing and classifying articles published between 2010–2021. The research was carried out through a systematic review and comparative thematic analysis investigating the use of BIM for different public buildings (e.g., schools and hospitals) and the implementation for FM purposes. Research results outline prevalent trends and areas of research from three perspectives: people, process and technology. Results show an increasing number of publications about BIM-FM. However, the divide between BIM-FM for public and private organisations is unequal. BIM-FM research for public organisations is still limited and lacks standardisation. This state-of-the-art review makes an incremental contribution to knowledge by identifying progress, gaps and new industry directions on the subject matter.

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Section: Bibliometric Analysismentioning

confidence: 99%

Section: Research Trendsmentioning

confidence: 99%

A Review of Building Information Modelling (BIM) for Facility Management (FM): Implementation in Public Organisations

2022

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“…In addition to considering the impact of competencies on team performance, organizations needs to think about the capabilities that teams need, plans for team building, and ways to develop those capabilities of maintainers. It is worth mentioning that in scenarios that involve high risk, maintenance activities are usually carried out with the help of high technology, and with the advent of industry 4.0, the use of digital technologies in maintenance activities has grown (Alvanchi et al, 2021). Thus, this scenario will demand new capabilities and skills that need to be explored, for example, leadership, time management, information analysis, problem-solving, interpersonal skills, collaboration, and knowing how to use virtual and augmented reality technologies (Romero et al, 2016a, b).…”

Section: Synthesis Of Results For Two Points Priormentioning

confidence: 99%

Age-Based Replacement With Imperfect Repair and Risk as Low as Reasonably Practicable

2022

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Maintenance policies must consider system reliability and the risk of accidents in systems where equipment failures represent a risk. In this context, this work proposes an age replacement policy with Bayesian imperfect repair and considers the "as low as reasonably practicable" (ALARP) principle. The policy determines the age of replacement that minimizes the long-run cost per unit time when the failure rate is ALARP. The model also supposes that failures are either minimally or perfectly repaired, depending on the skill of the maintainer. Numerical applications are performed with and without the disproportion factor in ALARP, both for infinite and one-replacement-cycle horizons. The results show that considering imperfect repair leads to an increase in replacement costs and a decrease in the optimal replacement age when considering the ALARP principle. The model applies to situations where there are conflicts of interest between maintenance management and risk; that is, cases where the aim is to reduce the cost of replacing equipment and minimize the risks. Maintenance policies must consider system reliability and the risk of accidents in systems where equipment failures represent a risk. In this context, this work proposes an age replacement policy with Bayesian imperfect repair and considers the "as low as reasonably practicable" (ALARP) principle. The policy determines the age of replacement that minimizes the long-run cost per unit time when the failure rate is ALARP. The model also supposes that failures are either minimally or perfectly repaired, depending on the skill of the maintainer. Numerical applications are performed with and without the disproportion factor in ALARP, both for infinite and one-replacement-cycle horizons. The results show that considering imperfect repair leads to an increase in replacement costs and a decrease in the optimal replacement age when considering the ALARP principle. The model applies to situations where there are conflicts of interest between maintenance management and risk; that is, cases where the aim is to reduce the cost of replacing equipment and minimize the risks.

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“…Despite the wide application of synthetic data in other disciplines, construction-related research expressed interest lately. With the rapid increase in the prevalence of building information modelling (BIM) (Alvanchi et al, 2021), research is underway to generate synthetic data from BIM. Acharya used the indoor images derived from BIM as training data for a deep learning network that estimates the pose of a camera (Acharya et al, 2019).…”

Section: Synthetic Datamentioning

confidence: 99%

Fake it till you make it: Training Deep Neural Networks for Worker Detection using Synthetic Data

Tohidifar¹,

Saffari²,

Kim³

2022

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

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The construction industry’s productivity and safety have long been a source of concern, while the broad use of deep neural network (DNN)-based visual AI has transformed other industries. Automation and digitalization powered by DNN provide intriguing answers; yetthe lack of high-quality, diversifieddataprevents the construction sector from leveragingthe benefits. This paper presentsa novel computational framework that enables synthetic data generationfor DNN training to overcome the time-consuming manual data collectionand avoiddata privacy problems. The suggested framework uses graphics engines to create a virtual duplicate of the constructionsite that generates non-real yet realistic visuals. The proposedframework randomizes crucial scene elements such as worker pose, clothes, camera viewpoint, and lighting conditionsto enhancethe variety of the synthetic dataset.The findings of this study presentpromisingpotential of synthetic datain DNN training.

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A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?

Cited by 18 publications

References 61 publications

A Review of Building Information Modelling (BIM) for Facility Management (FM): Implementation in Public Organisations

A Review of Building Information Modelling (BIM) for Facility Management (FM): Implementation in Public Organisations

Age-Based Replacement With Imperfect Repair and Risk as Low as Reasonably Practicable

Fake it till you make it: Training Deep Neural Networks for Worker Detection using Synthetic Data

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