BIM-based process management model for building design and refurbishment

Ustinovichius, Leonas; Попов, В. М.; Cepurnaite, Jovita; Vilutienė, Tatjana; Samofalov, Michail; Miedziałowski, Cz.

doi:10.1016/j.acme.2018.02.004

Cited by 31 publications

(23 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Abed et al (2019) analyzed scheduling maintenance jobs in networks. Ustinovichius et al (2018) developed a conceptual model of BIM-based design and refurbishment, based on pre-built indicators and allowing the assessment of the building energy demand and eco-building parameters. Analysing the literature, few approaches can be found to describe the parameters (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposed Procedure for Optimal Maintenance Scheduling Under Emergent Failures

Al–Refaie

Al-Shalaldeh

Lepkova

2020

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Production lines are usually subjected to emergent machine failures. Such emergent failures disrupt pre-established maintenance schedules, which challenge maintenance engineers to react to those failures in real time. This research proposes an optimization procedure for optimizing scheduling repairs of emergent failures. Three optimization models are developed. Model I schedules failures in newly idle repair shops with the objective of maximizing the number of scheduled repairs. Model II maximizes the number of assigned repairs to untapped ranges. Model III maximizes both the number of assigned failure repairs and satisfaction on regular and emergency repairs by resequencing regular and emergent failures in the shop that contains the largest free margin. A real case study is provided to illustrate the proposed optimization procedure. Results reveal that the proposed models efficiently scheduled and sequenced emergent failures in the idle maintenance shops, the untapped ranges between repairs of regular failures, and in the maintenance shop with the largest free margin. In conclusions, the proposed models can greatly support maintenance engineers in planning repairs under unexpected failures.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Proposed Procedure for Optimal Maintenance Scheduling Under Emergent Failures

Al–Refaie

Al-Shalaldeh

Lepkova

2020

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

show abstract

“…In literature, numerous research activities are dealing with BIM [21]- [23]. These research activities consider the entire lifecycle of a building from design [24], [25] over construction [26], [27] up to operation [28], [29] in a very comprehensive way. In addition to this holistic perspective of an entire lifecycle, a major part of studies analyses and describes the content of the individual lifecycle phases in more detail.…”

Section: Originalitymentioning

confidence: 99%

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Burggräf

Dannapfel

Schneidermann

et al. 2019

WIT Transactions on the Built Environment

View full text Add to dashboard Cite

The interface between construction and production is an area of research with rising importance given its increasing demand for efficiency gains in factory planning and construction planning processes. In fact, nowadays, it is usual for production and surrounding buildings to be planned separately as independent entities. According to the Laboratory for Machine Tools and Production Engineering of RWTH Aachen University, it is against this background that recent factory planning projects have reported cost increases and time delays due to non-transparent information between different planners. Building Information Modelling (BIM) addresses precisely this problem. However, BIM is barely used in projects for production planning of factories. This is critical since factory planning has to deal with more complex planning parameters (due to the technical building equipment) compared to private housing construction or public building construction, where BIM is already being applied increasingly. In order to close this gap, it is first of all important to create transparency within the individual information interfaces between production planning and building planning. This article addresses this issue and identifies major obstacles in interdisciplinary cooperation between building planners and production planners. For this purpose, an interdisciplinary and partially standardised study has been carried out using questionnaires and partly-open expert interviews. The results show scarce implementation in factory planning projects due to (1) missing maturity level specifications and (2) missing data management standards. Both theoretical and practical implications of this study as well as limitations and future directions for research are discussed.

show abstract

“…BIM and its applications are currently discussed in different aspects and a wide spectrum of topics related to construction management, for example: assessing buildings redevelopment possibilities (Pavlovskis, Antucheviciene, & Migilinskas, 2017), an ecologically oriented BIM-based design and refurbishment management model (Ustinovichius et al, 2018), opportunities and risks for construction project stakeholders resulting from BIM implementation (Grzyl, Miszewska-Urbańska, & Apollo, 2017), promotion of sustainable solutions through employment of BIM from the point of view of design companies (Reizgevičius, Ustinovičius, Cibulskienė, Kutut, & Nazarko, 2018).…”

Section: State-of-the-art and Literature Reviewmentioning

confidence: 99%

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Juszczyk

Zima

Lelek

2019

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

The paper presents an original approach to construction cost analysis and development of predictive models based on ensembles of artificial neural networks. The research was focused on the application of two alternative approaches of ensemble averaging that allow for combining a number of multilayer perceptron neural networks and developing effective models for cost predictions. The models have been developed for the purpose of forecasting construction costs of sports fields as a specific type of construction objects. The research included simulation and selection of numerous neural networks that became the members of the ensembles. The ensembles included either the networks of different types in terms of their structure and activation functions or the networks of the same type. The research also included practical implementation of the developed models for cost analysis based on a sports field BIM model. This case study examined and confirmed all of the four models’ predictive capabilities and superiority over models based on single networks for the particular problem. Verification including testing and the case study enabled selection of the best ensemble-based model that combined ten networks of different types. The proposed approach is prospective for fast cost analyses and conceptual estimates in construction projects.

show abstract

BIM-based process management model for building design and refurbishment

Cited by 31 publications

References 36 publications

Proposed Procedure for Optimal Maintenance Scheduling Under Emergent Failures

Proposed Procedure for Optimal Maintenance Scheduling Under Emergent Failures

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Forecasting of Sports Fields Construction Costs Aided by Ensembles of Neural Networks

Contact Info

Product

Resources

About