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The purpose of this paper is to report on primary research findings that sought to investigate and analyse salient issues on the implementation of 5D building information modelling (BIM) from the UK contractors’ perspective. Previous research and efforts have predominantly focussed on the use of technologies for cost estimation and quantity takeoff within a more traditional-led procurement, with a paucity of research focussing on how 5D BIM could facilitate costing within contractor-led procurement. This study fills this current knowledge gap and enhances the understanding of the specific costing challenges faced by contractors in contractor-led projects, leading to the development of 5D framework for use in future projects.

To develop a fully detailed understanding of the challenges and issues being faced in this regard, a phenomenological, qualitative-based study was undertaken through interviews involving 21 participants from UK-wide construction organisations. A thematic data analytical process was applied to the data to derive key issues, and this was then used to inform the development of a 5D-BIM costing framework.

Multi-disciplinary findings reveal a range of issues faced by contractors when implementing 5D BIM. These exist at strategic, operational and technological levels which require addressing successful implementation of 5D BIM on contractor-led projects adhering to Level 2 BIM standards. These findings cut across the range of stakeholders on contractor-led projects. Ultimately, the findings suggest strong commitment and leadership from organisational management are required to facilitate cost savings and generate accurate cost information.

This study highlights key issues for any party seeking to effectively deploy 5D BIM on a contractor-led construction project. A considerable cultural shift towards automating and digitising cost functions virtually, stronger collaborative working relationship relative to costing in design development, construction practice, maintenance and operation is required.

By analysing findings from primary research data, the work concludes with the development of a 5D BIM costing framework to support contractor-led projects which can be implemented to ensure that 5D BIM is successfully implemented.

This paper aims to investigate the integration of a quantity surveyor (QS) role and practice within the building information modelling (BIM) process to enable better implementation of five-dimensional building information modelling (5D BIM) (D is a result of the data/information dimension integrated in a BIM model). It proposes the use of a “level of development and level of detail” to provide a structured approach for QSs’ integration within the BIM process for an improved implementation of 5D BIM.

This paper uses semi-structured interviews with QSs from academic and industry in the UK. A total of 20 face-to-face semi-structured interviews were conducted with two groups (industrial and academic) of ten participants from the West Midlands region in the UK. The interview questions have focussed on gaining perspectives on BIM, BIM and government protocols for the QS profession, expectations and challenges when implementing 5D BIM.

The findings show that BIM is perceived differently, and limitation of information obtained from the 3D models in BIM reduce the reliability of 5D BIM for QSs and implementing of 5D BIM needs an understanding of BIM workflow and information requirements.

Although the findings reveal many of the complexities that face QSs within the BIM process and the shortfalls of 5D BIM technology, the results may lack generalisation. Thus, future research seeks to test the proposed framework further.

This paper elicits implications of shortfalls that impact the implementation of 5D BIM technology and the complexities that face QSs within the BIM process.

This paper reveals the need to understand the process of integrating stakeholders and their information requirements for better implementation of technologies within BIM.

The amalgamation of integrated project delivery (IPD) and building information modelling (BIM) is highly recommended for successful project delivery. However, IPD lacks an accurate cost estimation methodology at the “front-end” of projects, when little project information is available. This study aims to tackle this issue, through presenting analytical aspects, theoretical grounds and practical steps/procedures for integrating target value design (TVD), activity-based costing (ABC) and Monte Carlo simulation into the IPD cost structure, within a BIM-enabled platform.

A critical review was conducted to study the status of cost estimation within IPD, as well as exploring methods and tools that can enhance the cost estimation process for IPD. Thereafter, a framework is developed to present the proposed methodology of cost estimation for IPD throughout its entire stages. A case project is used to validate the practicality of the developed solution through comparing the profit-at-risk percentage for each party, using both traditional cost estimation and the proposed solution.

After applying the proposed IPD's cost estimation framework, on a real-life case project, the findings demonstrated significant deviations in the profit-at-risk value for various work packages of the project (approximately 100% of the finishing package and 22% of openings package). By providing a precise allocation of overhead costs, the solution can be used in real-life projects to change the entire IPD cost structure and ensure a fair sharing of risk–rewards among the involved parties in IPD projects.

Using the proposed methodology of cost estimation for IPD can enhance the relationship among IPD's core team members; all revealed financial deficiencies will be considered (i.e. compensation structure, profit pooling), hence enhancing the IPD performance.

This paper presents a comprehensive solution for integrating BIM and IPD in terms of cost estimation, offering three main contributions: (1) an innovate approach to utilise five-dimensional (5D) BIM capabilities with Monte Carlo simulation, hence providing reliable cost estimating during the conceptual TVD stage; (2) mathematical models that are developed through integrating ABC into the detailed 5D BIM to determine the three IPD's cost structure limbs; and (3) a novel mechanism of managing cost saving (rewards) through distinguishing between saved resources from organisation level, to daily task level, to increase trust among parties.

This research has been conducted with a view to creating a framework to integrate risk management based on building information modeling (BIM) information.

In this research, all the information related to the construction of a residential project including 3D, 4D and 5D BIM models and the execution and control phases information was collected, and the risk list was determined for each activity accordingly.

The present study has suggested a framework for risk management in order to optimize project changes.

The lack of integration between 3D, 4D and 5D modeling besides execution information is a fundamental problem in many projects. The gap between these two groups of information will lead to improper management and late decisions, eventually imposing unforeseen delays and cost overruns. Risk management by the means of adopting a new approach has been addressed in recent studies using new methods, such as BIM and its associated technologies, some of which were mentioned in the review of theoretical literature in this research.

The construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in the construction period and cost optimization analysis with multiple constraints the have their own limitations. Therefore, this study aims to propose a combination of genetic algorithm (GA) and building information modeling (BIM) to construct a five-dimensional construction duration-cost optimization model with the advantages of optimization and simulation for optimization.

This design first analyzed the characteristics of changing construction period and cost and then improved the genetic mechanism and the data processing method in the GA according to the aforementioned characteristics. Then, BIM technology was combined with GA to testify the feasibility of the model in the practical engineering project.

The result proved that this new method was reasonable and effective in dealing with the complicated problem of period and cost. GA accelerated the optimization process and yielded a reliable Pareto solution. BIM technology simulated the construction process before construction to increase the feasibility of the construction scheme.

This method not only can rapidly provide the best construction period/cost decision to the architect according to the previous working period/cost or contract data that can meet the demands of the architect but also visualize the construction and give a dynamic schedule of the project.

Although studies have shown the relevance of building information modeling (BIM) in cost estimating process, efforts at investigating BIM based detailed cost estimating among professional quantity surveyors through quantitative approach are scanty. The purpose of this study is to identify and examine the usage of BIM-based detailed cost estimating software and assesses the drivers to BIM adoption within the Nigerian quantity surveying consulting firms.

A comprehensive literature review, pilot study and questionnaire survey were adopted. The survey targeted both the BIM users and non- BIM users’ quantity surveying consulting firms in Lagos, Nigeria. The data collected were analyzed using frequency, percentage, mean score, standard deviation, Mann–Whitney test and factor analysis.

The study found that 46.58 per cent of quantity surveying consulting firms are aware of BIM and have adopted it for detailed cost estimating, while 49.32 per cent of quantity surveying consulting firms are aware but have not adopted BIM-based detailed cost estimating, and 4.10 per cent of quantity surveying consulting firms are not aware at all. Also, the study identified various BIM-based detailed cost estimating software used in quantity surveying practices and found that Microsoft Excel is often used alongside 3D software, Autodesk QTO, Navisworks, Innovaya Composer and CostX are prevalent BIM software used for detailed cost estimating. In addition, the study identified 21 drivers to the adoption of BIM in quantity surveying practices. The result of factor analysis grouped the 21 identified drivers into five principal factors: improved whole lifecycle/design quality, enhanced decision and visualization, cost and time saving, marketing and support for quantity surveyor tasks and government and client pressure.

This study provides significant insight into the application of BIM to quantity surveying consulting practices, thereby enabling consultant quantity surveyors to make informed decisions to select BIM cost estimating software to suit their practices. Further, the study findings can be useful for individuals’, clients’ and contractors’ quantity surveyors to be fully aware of the opportunities BIM could bring in relation to their service delivery.

Accurate cost estimating, effective cost monitoring and control are essential elements to a construction project success. This study further emphasized the importance of BIM to quantity surveying practices, particularly in the area of the detailed cost estimating.

This study aims to leverage the implementation of building information modelling (BIM) in facilities management (FM), and thus the integration of BIM and FM are explored. It looks at identifying the information needed to implement BIM application in FM, to determine the level of implementation of BIMFM as well as to recommend BIMFM application mapping for building life cycle.

This study applied qualitative methodology, upon which a purposive sampling to 16 interviewees were conducted among professionals involved in any BIM, FM, BIMFM projects. Final analysis was conducted using thematical analysis by ATLAS.ti software.

The types of information required to implement BIMFM range from managerial information, commercial information, technical information and all full life cycle data. The implementation of BIMFM is agreed as beneficial, as it builds up efficiency of building performance, able to close gap of loses information, helps to improve FM in terms of data management, mitigates the problems, identifies priority defects and to enhance the FM processes. Respondents also believed that the causes where there is no implementation of BIMFM is in the situations where things are in order and when it becomes very expensive.

This paper has managed to gather the essential elements toward leveraging the implementation of BIMFM in digital construction project which are in the means of information types, the needs of BIMFM implementation and towards the end drawing the BIMFM implementation plan framework that could be used as a reference for the practitioners and industry.

In the architecture, engineering and construction (AEC) industry, a “digital divide” exists in technology adoption because SMEs (who often form the bulk of AEC organisations in most countries) are thought to be “Late Majority” and “Laggards” in the adoption of Building information modelling (BIM) technology. Larger organisations not saddled with financial and socio-technical constraints might be considered as being among the “Early Majority” or “Innovators”. It is crucial to understand how these organisations differ in their speed of BIM technology adoption and the rationale for this difference. The purpose of this paper is to investigate the potential causes of the digital divide and suggest solutions for bridging the gap.

Using mixed research method, data were collected through online questionnaire survey of over 240 global respondents as well as a semi-structured interview with nine experts for which statistical and thematic analyses were used, respectively.

Organisations can be zoned into “layers” and “levels” of BIM technology adoption and their size is not always significant in terms of the speed at which they adopt BIM. The digital divide is unequal across layers/levels and large organisations utilise technologies across the BIM maturity levels depending on project circumstances. A conceptual model for BIM technology was developed to aid identification of the “Laggards” and “Late Majority” from the “Innovators” through which change agents can customise adoption strategies for each group.

The developed model could serve as a tool for engagement and policy making and it contributes to the body of knowledge in the field of BIM technology adoption.

This paper aims to propose an innovative building information modelling (BIM)-based framework for multi-objective and dynamic temporary construction site layout design (SLD), which uses a hybrid approach of systematic layout planning (SLP) and mathematical modelling.

The hybrid approach, which follows a step-by-step process for site layout planning, is designed to facilitate both qualitative and quantitative data collection and processing. BIM platform is usedto facilitate the determination of the required quantitative data, while the qualitative data are generated through knowledge-based rules.

The multi-objective layout model represents two important aspects: layout cost and adjacency score. The result shows that the model meets construction managers’ requirements in not only saving cost but also assuring the preferences of temporary facility relationships. This implies that the integration of SLP and mathematical layout modelling is an appropriate approach to deliver practical multi-objective SLD solutions.

The proposed framework is expected to serve as a solution, for practical application, which takes the advantage of technologies in data collection and processing. Besides, this paper demonstrates, by using numerical experimentation and applying Microsoft Excel Solver for site layout optimisation, how to reduce the complexity in mathematical programming for construction managers.

The original contribution of this paper is the attempt of developing a framework in which all data used for the site layout modelling are collected and processed using a systematic approach, instead of being predetermined, as in many previous studies.

Built environment encounters substantial risks and challenges in its evolution towards sustainable development. International businesses and multinational engineering organisations face global connectivity challenges between business units, especially during the outbreak of the novel coronavirus pandemic (COVID-19), which has profoundly disrupted the construction industry throughout the world. That raises the need to manage global connectivity as a main strategic goal of multinational architecture, engineering and construction (AEC) organisations. This study aims to develop a strategic framework managing challenges of integrating lean construction (LC) and integrated project delivery (IPD) on construction megaprojects (CMPs) towards global integrated delivery (GID) transformative initiatives in multinational AEC organisations.

“Mixed research methods” involving a two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to assess challenges to integrate LeanIPD&GID on CMPs. There is an assessment of conceptualisation of LeanIPD&GID and GID strategy placements, development of LeanIPD&GID integration framework and future of work (FOW) global initiatives with multiple validations. The analysis involved semi-structured interviews and focus group techniques. Stage 2 consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 190 respondents from 23 countries with an extensive cosmopolitan experience of megaprojects in construction. The survey examined a set of 20 challenges to integrate LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis and percentage score analysis.

The research conceptualised LeanIPD&GID principles, proposed GID strategy placements, a framework for managing challenges of LeanIPD&GID transformative initiatives, FOW global initiatives and key performance indicators (KPIs). It concluded that the most significant challenges to integrate of LeanIPD&GID on CMPs are “lack of governmental incentives, policies, regulations or legal frameworks”, “lack of client’s awareness and IPD experience amongst key stakeholders”, “lack of organisation’s senior-management and client’s commitment to IPD approaches”, “resistance of industry to change from traditional procurement to IPD” and “lack of integrated synergies between LC, IPD working towards LeanIPD&GID”. Awareness of building information modelling (BIM) in the Middle East and North Africa (MENA) region is higher than LC, and LC awareness is higher than IPD knowledge. While BIM adoption in the MENA region is higher than LC, LC is still taking its first steps, and IPD has little implementation. LeanBIM is slightly integrated, while LeanIPD integration is almost not present.

The research findings, conclusions and recommendations provide a proposed framework for implementation, KPIs and GID strategy placements for LeanIPD&GID transformative initiatives to integrate LeanIPD&GID on CMPs and FOW global initiatives. This will allow project key stakeholders to place emphasis on managing LeanIPD&GID challenges identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing integration of LeanIPD&GID transformative initiatives on CMPs.