A Framework for Evaluating an Integrated Bim Roi Based on Preventing Rework in the Construction Phase

Lee, Myungdo; Lee, Ung-Kyun

doi:10.3846/jcem.2020.12185

Cited by 10 publications

(23 citation statements)

References 15 publications

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“…It is also important to point out that G. Lee et al (2012) and M. Lee and Lee (2020) are the only 2 studies that have considered the probability of design errors and each design error was categorized according to its cause and the likelihood of detecting it before construction. The causes of design errors were identified as illogical designs, discrepancies between drawings, and missing items.…”

Section: Resultsmentioning

confidence: 99%

“…EI n ¼ wv n Â EI pr wv pr Where additional variables are: nthe defined effect number; EI neconomic impact of effect n; wv nweighting value of effect n; EI preconomic impact of the pre-venting rework; wv pr , weighting value of the preventing rework -Hill, 2008;Giel and Issa, 2013;Giel et al, 2009, Barlish and Sullivan, 2012, McGraw-Hill, 2009McGraw-Hill, 2012;McGraw-Hill, 2014) Taiwan (1) (Fan et al, 2014) Singapore (1) (Qian, 2012) Poland ( 1) (Walasek and Barszcz, 2017) Rework reduction (8 studies) Korea (4) (Kim et al, 2020;Lee and Lee, 2020, Ham et al, 2018, Lee et al, 2012 Taiwan (1) (Fan et al, 2014) Singapore (1) (Qian, 2012) Poland ( 1) (Walasek and Barszcz, 2017) Malaysia ( 1) (Latiffi and Tai, 2017) Change orders reduction (6 studies) USA ( 4) (Barlish andSullivan, 2012, Giel andIssa, 2013;…”

Section: Schedule Reduction and Compliancementioning

confidence: 99%

“…In actuality, other variables also contribute to each project's success or failure (Khanzadi et al, 2018). Therefore, it is suggested that future research should have a more comprehensive consideration on the likelihood of BIM assisting in a construction project, similar to G. Lee et al (2012) and M. Lee and Lee (2020).…”

Section: Building Information Modellingmentioning

confidence: 99%

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Building information modelling (BIM) and the return on investment: a systematic analysis

Sompolgrunk¹,

Banihashemi²,

Mohandes³

2021

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Purpose The purpose of this study is to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with building information modelling (BIM) return on investment (ROI). The findings of this study provide researchers and practitioners with up-to-date information in formulating appropriate strategies to quantify the monetary value of BIM. The suggested research agenda provided would also advance what is presently a limited body of knowledge relating to the evaluation of BIM ROI. Design/methodology/approach To fill the identified gap, this study develops a comprehensive systematic review of mainstream studies on factors affecting BIM ROI published from 2000 to 2020. A total of 23 academic records from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings The reported BIM ROI ranged greatly from −83.3% to 39,900%. A total of 5 returning factors, namely, schedule reduction and compliance, productivity improvement, request for information reduction, rework reduction and change orders reduction were identified as the most commonly reported factors that influence BIM ROI. Four quantification techniques including general assumptions-based theoretical model, perceived BIM ROI based on survey, factors affecting BIM ROI with no reported ROI and quantified BIM ROI based on a case study were observed and pointed out in the review, together with their limitations. Finally, three major gaps were raised as the lack of consideration on the likelihood of BIM assisting in a construction project, intangible returning factors influencing BIM-based projects and industry standards in benchmarking BIM ROI. Practical implications The outcomes of this study would assist practitioners by providing the current evaluation techniques that address the limitations with BIM investment and present issues relating to the economic evaluation of BIM in the construction industry. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This study identifies and analyses the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI on an industry scale rather than a particular organisation or a project scale.

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Section: Resultsmentioning

confidence: 99%

Section: Schedule Reduction and Compliancementioning

confidence: 99%

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Building information modelling (BIM) and the return on investment: a systematic analysis

Sompolgrunk¹,

Banihashemi²,

Mohandes³

2021

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“…Models in this area also often capture the risk [33]. There have also been attempts to use BIM technology to solve this problem [34][35][36][37].…”

Section: Literature Summarymentioning

confidence: 99%

Analysis of the Impact of Input Data on the Planned Costs of Building Maintenance

Plebankiewicz

Gracki

2021

Sustainability

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The aim of the article is to analyze the method of determining the maintenance costs of buildings based on the method proposed in Polish legal regulations. The analysis of the sensitivity of the method shows that the assumed number of product use cycles during the calculation period has the greatest impact, while the adopted warranty period has the lowest impact. A multi-functional building combining housing, office, service and commercial was analyzed in order to obtain a broader picture of the model’s operation. The results of the analyses allow us to conclude that despite the higher price of materials, the most durable solutions, which are the most expensive to purchase, turn out to be the most advantageous in the entire life cycle of the building. The method proposed in Polish law regulations has certain limitations. In order to level them, it was proposed to extend the method by using NPV (Net Present Value) for calculations and extending the life cycle of the building to 80 years.

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“…So, the intensity and timeliness of construction control decreased. In the field of building construction, Building Information Modeling (BIM) technology has been used to solve these problems [16][17][18][19]. Ding and Xu [20] established the BIM cloud storage system to solve a large number of problems such as data processing, information security, and cost in BIM model applications.…”

Section: Introductionmentioning

confidence: 99%

Determination and Monitoring of Key Construction Control Indices for Low‐Temperature Performance of Asphalt Mixtures Based on BIM Platform

Zhao

Gao

Zhang

et al. 2021

Advances in Civil Engineering

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The construction control indices were commonly used to ensure the quality of asphalt layers in the construction process. However, the relationship between the construction control indices and the low-temperature performance of asphalt layers is not clear. The purpose of this paper was to investigate the effect of the variations of the construction control indices on the low-temperature performance of asphalt mixtures to determine the key construction control indices, and propose the method for the monitoring of these indices using the Building Information Modeling (BIM) platform. The low-temperature performance of asphalt mixtures was evaluated by the semicircular bend (SCB) test. A new prediction model of critical strain energy release rate was established to evaluate the low-temperature performance of the asphalt layer. Five factors are considered for the low-temperature performance, which are the gradation and asphalt-aggregate ratio in the asphalt mixture plant, rolling temperature, gradation segregation, and temperature segregation. Orthogonal test (OT) results indicated that the order of importance of factors affecting the low-temperature performance is asphalt-stone ratio, gradation, and molding temperature. The influences of gradation segregation and temperature segregation on the low-temperature performance were quantified in this study. Furthermore, the construction control indices were monitored by the BIM platform developed in this research. In the construction process of the asphalt layer, the gradation variation caused by the segregation should be paid more attention to ensure the low-temperature performance of the pavement.

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A Framework for Evaluating an Integrated Bim Roi Based on Preventing Rework in the Construction Phase

Cited by 10 publications

References 15 publications

Building information modelling (BIM) and the return on investment: a systematic analysis

Building information modelling (BIM) and the return on investment: a systematic analysis

Analysis of the Impact of Input Data on the Planned Costs of Building Maintenance

Determination and Monitoring of Key Construction Control Indices for Low‐Temperature Performance of Asphalt Mixtures Based on BIM Platform

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