The Adoption of Building Information Modelling and Intelligent Contract to Payment Process in Malaysian Conventional Contract

2020 ◽  
Vol 17 (2) ◽  
pp. 1378-1387
Author(s):  
Rozana Mohamed Salleh ◽  
Nur Emma Mustaffa ◽  
Nafisah Abdul Rahiman
Keyword(s):  
Construction Industry ◽  
Integrated Approach ◽  
Project Performance ◽  
Third Party ◽  
Management Systems ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Project Completion ◽  
Building Information ◽  
Audit Trails

Payment conflicts are never ending issue in Malaysian construction industry. This issue is a common scenario especially in public work project, which involves a conventional contract. The late payment and non-payment occur due to client inefficient payment administration caused by documentation and human factors. It commonly ended up causing delays in project completion. However, the revolution of Information Technology (IT) within construction industry has shown the development of various management systems, which transformed the way projects are administered. The introduction of Building Information Modelling (BIM) is one of the project management systems, which have been created to centralised knowledge sharing resource as an effective collaborative and integrated approach between inter-disciplines in construction industry. The development of digital technology of Intelligent Contracts brings great potential in BIM management to automate the contractual process and thus create possible solutions towards payment conflicts in the construction project. This paper discusses the process of payment in the conventional contractual procedure, which relate to the causes of delay in payment. It is believed that by integrating BIM and Intelligent Contract’s attributes may help to eliminate the unnecessary procedure, which prolong the payment processes. Therefore, this study is carried out to explore what are the effects of adopting BIM and Intelligent Contracts attributes in conventional payment process. This is a descriptive study and the methodology used is essentially on review of the literature in relation to payment processes in conventional contract, BIM management system and attributes of Intelligent Contract. The analysis revealed that the adoption of BIM and Intelligent Contracts attributes in payment conventional process could improve the efficiency; reduce the time by eliminating third party interference and manual signatory. In addition, the project performance is analysed intelligently as well as minimise the risks of losing information by keeping historical audit trails in automatic system repository.

scholarly journals Exploring the Barriers and Driving Factors in Implementing Building Information Modelling (BIM) in the Malaysian Construction Industry: A Preliminary Study

2014 ◽  
Vol 75 (1) ◽  
Author(s):  
Zahrizan Zakari ◽  
Nasly Mohamed Ali Ali ◽  
Ahmad Tarmizi Haron ◽  
Amanda Marshall Ponting ◽  
Zuhairi Abd. Hamid
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Integrated Approach ◽  
Driving Factors ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Preliminary Study ◽  
The Government ◽  
The Many

In Malaysia, Building Information Modelling (BIM) has recently gained attraction from construction players and some of them have applied it to several projects. By utilising the BIM process, the construction players have the opportunity to plan, coordinate and design in an integrated approach. This is one of the many benefits that they could gain and resulting in increased productivity. Despite these benefits, the implementation of BIM in the Malaysian construction industry is still lagging behind Singapore, for instance. Thus, it warrants a study such as the present to determine what are the actual barriers that hamper its implementation and what are the driving factors that could enhance its pace of implementation in the Malaysian construction industry. In this study, a questionnaire survey based on Convenience Sampling Method was carried out to gather the possible barriers and driving factors for BIM implementation among the Malaysian construction players. Additionally, Relative Importance Indices (RII) were used to analyse the data obtained and to identify those barriers and driving factors for the implementation of BIM in this country. Consequently, results of this study revealed that the main barriers for implementing the BIM are: 1) Lack of knowledge about BIM, 2) Reluctance and/or no insistence shown by the Malaysian construction industry players (Clients, Contractors and Consultants alike) on the use or implementation of BIM. The driving factors, on the other hand, that could lead to the speeding up of the implementation of BIM are: 1) Support and enforcing the implementation of BIM by the Government, 2) promote BIM training program and 3) Initiatives of senior management of the related industry players. In conclusion, for successful wide spread application of BIM in Malaysia, a good push from the government alone is far from enough. All other construction industry players mentioned must assume their roles well in promoting the use of BIM in their construction projects.

scholarly journals Integrating Building Information Modelling and Intelligent Contract to Payment Process Under Conventional Procurement in Malaysia

2019 ◽  
Vol 1 (2) ◽  
pp. 79-81
Author(s):  
Rozana Mohamed Salleh ◽  
Nur Emma Mustaffa ◽  
Nafisah Abdul Rahiman
Keyword(s):  
Construction Industry ◽  
Digital Technology ◽  
Construction Projects ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Project Completion ◽  
Technological Advances ◽  
Building Information ◽  
Process Issue ◽  
To Receive

Conflict caused by payment issues are common in construction industry.  A lengthy payment process issue is a common phenomenon especially in public work projects, which commonly opt for conventional contracts.  Delay in payment process have caused many contractors not being able to receive payment within the stipulated time.  In turn, it may affect the contractor’s cash flow and eventually ended up causing delays in project completion. The effect of technological advances has brought significant changes to the construction industry, which is year after year becoming increasingly complex.  Therefore, in the era of technology and digital, there are many management systems which have been established and introduced amongst construction players for the convenience of managing and administering construction projects.  The introduction of Building Information Modelling (BIM) is to establish a centralised information system, which improves the collaboration, communication and integration between interdisciplines in construction industry.  The development of digital technology of Intelligent Contracts will bring great potential as an automate support system in BIM management process.  These combinations create possible solutions towards payment conflicts in the construction project, through integration of BIM and Intelligent Contracts that may help to reduce the unnecessary procedure and interference that prolong the payment process. The analysis revealed that the adoption of BIM and Intelligent Contracts attributes in payment process under conventional procurement could improve the efficiency and reduce the time by eliminating unnecessary procedure and third parties interference along the process.

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.

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