Multiple criteria decision-making (MCDM) is considered as a complex decision-making (DM) tool involving both quantitative and qualitative factors. In recent years, several MCDM techniques and approaches have been suggested to choosing the optimal probable options. The purpose of this article is to systematically review the applications and methodologies of the MCDM techniques and approaches. This study reviewed a total of 393 articles published from 2000 to 2014 in more than 120 peer reviewed journals (extracted from Web of Science). According to experts’ opinion, these articles were grouped into 15 fields. Furthermore, these articles were categorised based on authors, publication date, name of journals, methods, tools, and type of research (MCDM utilising research, MCDM developing research, and MCDM proposing research). The results of this study indicated that in 2013 scholars have published articles more than in other years. In addition, the analytic hierarchy process (AHP) method in the individual tool...

/pdf/multiple-criteria-decision-making-techniques-and-their-1j6wsyweg7.pdf

Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014

https://uwe-repository.worktribe.com/preview/909609/1.%20ADVEI-D-16-00028R2.pdf

Big Data in the construction industry

Rapid advancement of technology continues to leverage change and innovation in the construction industry. Continued digitization of the industry offers the opportunity to totally reinvent contemporary construction design and delivery practice for future development. Building Information Modelling (BIM) within the context of Architecture, Engineering & Construction (AEC) has been developing since the early 2000s and is considered to be a key technology. Despite major technical advancements in BIM, it has not been fully adopted and its definitive benefits have not been fully capitalized upon by industry stakeholders. The lack of widespread uptake of BIM appears to be linked to the risks and challenges that are potentially impeding its effectiveness. This paper aims to discuss the reality of BIM, its widespread benefits and current level of uptake. The risks and challenges associated with the adoption of BIM, as well as recommendations regarding how future BIM adoption could be developed are also highlighted.

Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges

Enhancing environmental sustainability over building life cycles through green BIM: A review

https://repositorio.unican.es/xmlui/bitstream/handle/10902/6160/A%20review%20of%20application%20of%20multi-criteria%20decision%20making%20methods%20in%20construction.pdf?sequence=1

A review of application of multi-criteria decision making methods in construction

BIM implementation throughout the UK construction project lifecycle: An analysis

The UK Government has set a target date for the adoption of Building Information Modelling (BIM) by 2016 Despite the many benefits identified in literature there are also barriers to be overcome but there is little by way of research ranking the importance of each To enable informed decision making during the implementation process this research provides a ranking of barriers The study gathered information via a web-based survey from the top 74 United Kingdom based main construction contractors The findings demonstrated that the barriers are reduced in importance after BIM adoption as the major hurdle of initial investment has been overcome reducing the “Fear” factor” The two most important barriers to implementing BIM overall are “Scale of Culture Change Required/Lack of Flexibility” and “Lack of supply Chain Buy-in” The low ranking awarded to “Lack of management support” and “Other Competing Initiatives” show the priority implementation is given in industry

/pdf/building-information-modelling-adoption-an-analysis-of-the-28oz42kz5o.pdf

Building Information Modelling Adoption: An Analysis of the Barriers of Implementation

Purpose – The purpose of this paper is to identify and assess the extent of occurrence and impact of risk factors responsible for the variation between the forecast and actual construction cash flow.Design/methodology/approach – The study was conducted through a structured questionnaire administered to UK contracting organizations. Adopting a project‐by‐project approach, respondents were asked to provide opinions on the extent of occurrence of some identified risk factors and their impacts on cash flow forecast. Respondents were split into three groups of small, medium and large contracting firms based on their annual turnover so as to be able to investigate statistical differences of opinions between the groups. Statistical analyses were carried out using mean response analysis and univariate analysis of variance (ANOVA) in order to determine significant risk factors and also to investigate differences of opinions between respondents' groupings.Findings – The research identified 11 significant risk facto...

An evaluation of risk factors impacting construction cash flow forecast

Building Information Modelling (BIM) is one of the pillars of the UK Government Construction Strategy. While many benefits (drivers) of BIM are mentioned in literature there is little by way of research to evaluate their importance. The objective of the survey reported in this paper is therefore to fill this knowledge gap by identifying and prioritizing the factors driving BIM adoption to enable those seeking to adopt BIM to gain an understanding of the relative importance of each of these drivers in order to inform their strategic and operational decision making. The research sample was limited to the top 100 UK construction contractors with international business activity. Online survey respondents were asked to score on a Likert-type scale of 1-5 the level of importance they would place on the identified factors driving BIM adoption. Responses to the online survey were analysed using relative importance index and rank agreement factor. The study concluded that those who had adopted BIM ranked the drivers for BIM differently than those yet to implement a BIM solution.Overall, the study found that the three most important drivers for BIM implementation are “Clash Detection”,“Government Pressure” and “Competitive Pressure”. The top drivers for non-users of BIM could be grouped under pressure from external sources while operational drivers were more important for users of BIM.

/pdf/an-analysis-of-the-drivers-for-adopting-building-information-3bmnx9ri7e.pdf

An analysis of the drivers for adopting building information modelling

Purpose – Construction organisations are mandated to use Building Information Modelling (BIM) for Government projects from 2016. The purpose of this paper is to investigate the current status of the management aspects of BIM. Design/methodology/approach – Following a telephone sift, a web-based questionnaire was conducted with UK construction BIM experts with 92 responses. Findings – This research demonstrates a paradigm shift in construction as operations were deemed more important than the technical aspects of BIM Adoption. Respondents agree with enforced Level 2 BIM, demonstrating client demand is a significant driver on uptake. BIM use will substantially increase in the next five years. Ranking of the importance of current BIM standards indicated BS1192 was most used but almost a third adopted individual standards producing fragmentation. BIM’s effect on consultant fees indicated the need for structural change. Practical implications – Front end design via BIM models and clash detection outweighed the...

Henry Odeyinka

Papers

BIM implementation throughout the UK construction project lifecycle: An analysis

Building Information Modelling Adoption: An Analysis of the Barriers of Implementation

An evaluation of risk factors impacting construction cash flow forecast

An analysis of the drivers for adopting building information modelling

A survey of current status of and perceived changes required for BIM adoption in the UK