scholarly journals Reducing material waste with the application of Building Information Modelling (BIM)

2019 ◽  
Author(s):  
◽  
Ayesha Mall
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Construction Industry ◽  
South African ◽  
Flow Chart ◽  
The South ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Waste Minimisation

Every year approximately 13 million tonnes of unused materials go to waste from construction sites. Construction professionals should strive to reduce wastage through the principle of right-first-time. Material waste directly affects the profitability of the contractor and it is a measure of competency and competitive advantage. The construction has a great influence on several industries by procuring products, as well as by providing products to other industries, therefore, by reducing waste there could be great cost savings to the construction industry. The Building Information Modelling (BIM) tool can be used in a construction of a project to motivate the design, construction, and operation of a project from start to finish. Therefore, the 3D BIM model can assist the construction industry in reducing material waste. The aim of this study is to identify the main causes of waste in the South African construction industry and develop a flow chart through the application of BIM to reduce waste. The objectives of the study include the identification of causes and sources of material waste on construction and the use of BIM to aid in waste minimisation. The tools used for data collection included questionnaires and site observations. The sample population for data collection included architects, project managers, quantity surveyors, and engineers. A programme called Statistical package for social scientists (SPSS) was employed to analyse the data. Mean score rankings, factor analysis, and Cronbach alpha test were adopted for data analysis. The structured questionnaire indicated whether construction professionals in South Africa have sufficient knowledge of BIM. Key research findings indicate that BIM has the ability to assist in reducing material waste. BIM enhances practices such as collaboration, detailing, visualisation and simulation, clash detection and improved communication. BIM has a strong influence on the reduction of waste material. BIM has the potential to address the causes of waste, relative to design changes, ineffective coordination and communication, and improvements towards waste minimisation through the construction stage of a project. The results from the data analysis, revealed that the most common contribution to waste on a construction site included material handling and storage factors, design and documentation factors, procurement factors, site management and practice factors and operation factors. The use of the developed flow chart on the application of BIM in the delivery of a project will minimize material waste. The model developed is recommended to be adopted for use in the South African construction industry for the delivery of projects with minimal wastage costs.

scholarly journals Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

2021 ◽  
Vol 13 (3) ◽  
pp. 142-150
Author(s):  
Berco Venter ◽  
Sams Pfukani Ngobeni ◽  
Hendri du Plessis
Keyword(s):  
Built Environment ◽  
Construction Industry ◽  
South African ◽  
Research Approach ◽  
The South ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Factors Influencing ◽  
Building Information ◽  
Quantity Surveying

Abstract The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other role-players in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.

Adoption of innovative technologies in the South African construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liané van Wyk ◽  
Kahilu Kajimo-Shakantu ◽  
Akintayo Opawole
Keyword(s):  
Construction Industry ◽  
South African ◽  
The South ◽  
Building Information Modelling ◽  
Content Type ◽  
Innovative Technologies ◽  
3 Dimensional ◽  
Adoption And Implementation ◽  
Building Information ◽  
Dimensional Printing

PurposeThe South African construction industry appears to be lagging behind other industries in the country in terms of implementation and adoption of innovative technologies. Moreover, sufficient empirical data on the adoption of innovative technologies, especially, in developing countries are not readily available. The aim of this study is therefore to assess the adoption and implementation of innovative technologies in the South African construction industry with a view to improving the industry's performance.Design/methodology/approachA survey was undertaken using a questionnaire, administered to construction professionals primarily in project management, quantity surveying and architectural firms.FindingsThe key findings show that there are some innovative technologies such as building information modelling, 3-dimensional mapping, drones, 3-dimensional printing and virtual reality that have been deployed. However, limited adoption of innovative technologies within the industry and low levels of knowledge of its benefits among the respondents were reported. This low implementation of innovative technologies was due to critical barriers such as high cost, limited knowledge, time requirement, fear of change, lack of interest, nature of construction processes and lack of team dynamics. Key drivers of innovation were found to include globalization and competition.Practical implicationsThe current level of implementation of innovative technologies indicated that they are not yet optimized in the South African construction industry and suggests implications for change, adaptation and growth. The study recommends that firms should consider investing in research and development in order to exploit the potential of innovation for organizations and the industry at large.Originality/valueThe drivers and barriers indicated will help to prioritize the direction of adoption and growth which could help to improve the industry.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Apeesada Sompolgrunk ◽  
Saeed Banihashemi ◽  
Saeed Reza Mohandes
Keyword(s):  
Construction Industry ◽  
Return On Investment ◽  
Research Work ◽  
Value Drivers ◽  
Productivity Improvement ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Building Information

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.

scholarly journals BIM-based Collaborative Management and Intelligent Manufacturing in the Shenzhong Link Project

2019 ◽  
Vol 136 ◽  
pp. 01038
Author(s):  
Cheng Liu ◽  
Qinghan Bu ◽  
Shutao Lin ◽  
Faxiong Li
Keyword(s):  
Construction Industry ◽  
Intelligent Manufacturing ◽  
Digital Design ◽  
Collaborative Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Management Platform ◽  
Building Information ◽  
Infrastructure Project ◽  
Reducing Costs

Building Information Modelling (BIM) technology has become a central topic in infrastructure construction industry recently in China. This paper describes the applications of BIM technology, including 3D digital design, intelligent manufacturing, smart site and BIM-based collaborative management platform, in a mega infrastructure project, the Shenzhong Link. Through BIM technology, Shenzhong Link strives to achieve the goal of “improving quality, increasing efficiency, reducing costs and achieve traceability”

scholarly journals Challenges of Building Information Modelling (BIM) from the Malaysian Architect’s Perspective

2019 ◽  
Vol 266 ◽  
pp. 05003
Author(s):  
Khairool Aizat Ahmad Jamal ◽  
Mohammad Fadhil Mohammad ◽  
Norfashiha Hashim ◽  
Mohamed Rizal Mohamed ◽  
Mohd Adib Ramli
Keyword(s):  
Construction Industry ◽  
Internal Factors ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Current State ◽  
Operational Level ◽  
The People ◽  
Key Players ◽  
Building Information ◽  
The Government

Malaysia is experiencing high economic growth which requires the construction industry to fulfill development demands. Building Information Modelling (BIM) had been widely publicized by the government in order to increase the industry’s productivity by instigating numerous initiatives aimed to spearhead its progression. In contrast with the aspiration, architects as key players of construction industry are still facing issues in adopting BIM into practice. Previous researches had broadly covered about BIM in construction industry, but few concentrations in specific to the local architect thus imposing gap of knowledge. In addressing the issues, the research aim to probe the current state of BIM implementation, primarily on the challenges that hinders its adoption. The BIM factors which covers people, process, policy and technology were derived and investigated through the use of 322 questionnaires distributed to architects at management and operational level. The study revealed the key barriers that contributes towards the problem is within the people factor, where majority highlighted the lacked of skilled and experienced BIM workforce which contributes towards steep learning environment as well as high cost of applying BIM. Consequently, several key strategic solutions had been indicated through both external and internal factors in addressing the challenge of BIM. Results suggested that there is a need of further support from the industry’s professional bodies, development of legal instruments, BIM enforcement, specific BIM education as well as BIM R&D programs.

Emerging technical risks from the application of building information modelling

2020 ◽  
Vol 18 (3) ◽  
pp. 195-212
Author(s):  
Moshabab Aljarman ◽  
Halim Boussabaine ◽  
Khalid Almarri
Keyword(s):  
Construction Industry ◽  
Primary Data ◽  
Successful Implementation ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Technical Risks ◽  
Software Platforms ◽  
Modelling Data

Purpose Building information modelling (BIM) is not without risk, as the greater reliance on information technology has associated technical risks. Thus, the purpose of this paper is to assess the perceptions of the users of BIM regarding the likelihood of emergence of technical risks which might influence the successful application of BIM, to facilitate the successful implementation of BIM in the construction industry. Design/methodology/approach The primary data were collected via a questionnaire to document the BIM risks, where 105 responses were recorded from constructors, consultants, cost consultants and other professionals from the UK construction industry. Subsequently, the analysis of the results was driven by univariate and inferential statistics (ANOVA) to assess the perception of risk emergence. Findings The study found the most likely technical risks that might emerge from BIM application. These risks are complexity of transferring modelling data from one program to another, lack of understanding of the BIM for the different software platforms, interoperability shortcomings, failure to discover errors in the model and risks of different software platforms. Practical implications The results will certainly intensify the discussion about BIM risks, risk allocation and all other aspects that are related to BIM contractual processes. Also, the compiled list of risks will help stakeholders in assessing financial implications that may result from BIM application. Originality/value Important technical risks have been identified in the application of BIM. This renders a new understanding of the risks that might influence the successful application of BIM. The respondents generally agreed on the importance of the following risks: “complexity of transferring modelling data between programs from one program to another”, “lack of understanding of the BIM for the different software platforms”, “interoperability shortcomings”, “failure to discover errors in the model” and “risks of different software platforms”, which are in line with current literature.

scholarly journals Rethinking the contractual context for Building Information Modelling (BIM) in the Australian built environment industry

2013 ◽  
Vol 13 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Ilsa Kuiper ◽  
Dominik Holzer
Keyword(s):  
Construction Industry ◽  
Project Delivery ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Contractual Arrangements ◽  
Legal Risks ◽  
Building Information ◽  
And Performance ◽  
Potential Opportunity ◽  
The Ideal

Building Information Modelling (BIM) can be defined as a process of generating and managing information of a building or infrastructure during its life cycle. Whilst the 3D visualisation or dimensional functions of BIM are not necessarily new, it is the usage and integration of this information related to project delivery, management and performance analysis that are challenging current construction industry practices.  Industry has called for the development of more collaborative and integrated contractual arrangements to facilitate the use of BIM. Such recommendations appeal to the ideal use of BIM, but also provide a potential opportunity to seek improvement within the construction industry. This paper proposes a procurement approach to BIM to establish the applicable contractual context to address the potential legal risks and commercial considerations, relative to current practices in Australia. It als ooutlines why BIM, with other enabling technologies, will drive the evolution of contract delivery methodologies.

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