MOBILE APPLICATIONS FOR THE CONSTRUCTION INDUSTRY

Author(s):  
Bahadir V. Barbarosoglu ◽  
David Arditi

The construction industry has been criticized as an “old-school” industry, because of being a slow adopter of mobile technologies. This has changed recently. A 2014 survey of 1,048 participants found that 72% of construction practitioners have smartphones, and use smartphone applications for work purposes. While there are thousands of smartphone applications advertised as “construction apps”, the most popular smartphone applications offered by software providers to the construction industry are for field data collection, project management, bidding, building information modeling (BIM), accounting, customer relationship management, and estimating. This paper discusses the current state of smartphone applications available to the construction industry, and examines the apps’ functions. Due to the rapid growth in the smartphone applications market, new applications become available every day for use in different industries. Given the large number of choices, both companies and individuals in the construction industry must beware when selecting and purchasing smartphone applications. The business needs of the potential users and the expectations from the applications must be well identified, and the selection must be made accordingly. Properly selecting and deploying smartphone applications for construction-related tasks is expected to improve communication, enhance workflow with real time information, and increase productivity.

2020 ◽  
Vol 14 (1) ◽  
pp. 98-110
Author(s):  
Mohammed A. Al-Hammadi ◽  
Wei Tian

Background: The Building Information Modeling (BIM) revolution can provide a solution for problems in the Saudi Arabian construction industry and improve its outcomes. Though this technology is increasingly and rapidly adopted in advanced countries, developing countries such as Saudi Arabia and the Gulf Cooperation Council countries (GCC) are still in the early stages of BIM adoption. Objective: This study investigates the current state of BIM technology adoption by exploring and analyzing the critical challenges and barriers to BIM technology utilization in the construction sectors. Methods: The quantitative approach is adopted via a survey questionnaire distributed to participants in the field of construction projects in the Architecture, Engineering, and Construction (AEC) industry. A total of 228 questionnaires are collected and analyzed using the statistical packaging for social science software. Results: Findings show that several significant barriers negatively affect the utilization of BIM. The major barriers to BIM adoption are related to the lack of demand, lack of experts, and poor awareness of BIM benefits, which have relative importance indexes of (RII = 89.910), (RII = 88.475), and (RII = 87.130), respectively. Meanwhile, unspecified data responsibilities, difficulty of learning BIM, lack of data sharing, and sufficient current technology constitute the lowest-ranking barriers with their relative importance indexes of (RII = 71.704), (RII = 70.807), (RII = 66.413), and (RII = 65.874), respectively. Conclusion: The findings of this study are highly significant and can become more helpful and interesting if further research can measure the methodologies to implement BIM technology in the Kingdom of Saudi Arabia.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Solomon Olusola Babatunde ◽  
Srinath Perera ◽  
Damilola Ekundayo ◽  
Damilola Sarah Adeleke

Purpose Building information modeling (BIM) is vital in the performance improvement of contracting firms. Thus, there is a need to stimulate its implementation in the construction sector with a view to meeting the competitive demands of the industry. However, there have been very few studies on BIM implementation among contracting firms in Nigeria. Hence, this study aims to examine the current BIM uptake among Nigerian contracting firms, assess the barriers to BIM implementation and examine the ways of improving BIM implementation within these contracting firms. Design/methodology/approach A questionnaire survey was conducted on contracting firms (comprising small-, medium- and large-sized firms) in Lagos, Nigeria. The obtained data were analyzed using both descriptive and inferential statistics. These included percentage, mean score, standard deviation, the Kruskal–Wallis test and factor analysis. Findings This study revealed the current state of BIM implementation among contracting firms in Nigeria in terms of their knowledge of BIM, their usage of BIM as well as the BIM software adopted. Furthermore, the study identified 25 barriers to BIM implementation in contracting firms and identified 15 ways to improve BIM implementation in contracting firms. The relative importance of both the identified barriers and the ways for improving BIM implementation was gauged among contracting firms comprising small-, medium- and large-sized firms. The result of the Kruskal–Wallis test revealed that, except for two (out of 25) identified barriers, and one (out of 15) identified ways of improving BIM implementation in contracting firms, there is no significant statistical difference in the perceptions of the three respondents’ groups. The result of the factor analysis categorized the identified 25 barriers into seven main factors. Practical implications This study provides empirical evidence on the barriers to BIM implementation and the ways of improving its implementation among contracting firms, thereby providing a better insight of the Nigerian construction industry’s BIM environment. Originality/value This study’s findings can positively inform the decisions of construction stakeholders to formulate strategies capable of improving BIM implementation in the construction industry at large.


Author(s):  
Arpit S. Jaiswal

The volume of construction output will grow by 85% to $15.5 trillion worldwide by 2030, with three countries – China, US and India – leading the way and accounting for 57% of all global growth. Construction industry largest industry worldwide comprising Architecture, Engineering and Construction professionals, Mechanical, Electrical, Plumber professionals, etc. The AEC industries have long sought techniques to decrease project cost, increase productivity and quality, and reduce project delivery time and one of the trending techniques is BIM (Building Information Modeling). BIM is intelligent model-based concept, in which buildings are built virtually before they get constructed actually on the grounds, where all the information in integrated in common platform as a result we get virtual data rich model of the structure. BIM plays crucial role in decisions making during its lifecycle. This paper describes the software’s and methodology used for construction of 4D model. The BIM and normal construction process, dimensions of BIM are also explained in this paper. 4D model can be used by project managers for effectively manging tasks and resources.


2012 ◽  
Vol 1 (2) ◽  
pp. 17-29 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Hisham

Bridge Information Modeling (BrIM) is considered an innovation in bridge engineering and construction industry. This paper presents a methodology for using BrIM as an assisting tool in performing detailed cost estimates. The methodology depends on integrating visualization feature of BrIM with specific attributes of the BrIM model intelligent components. A program developed using C# language is used to extract the visualization conclusions and other components’ attributes to MS Excel spreadsheet. This sheet assists in performing detailed cost estimate, and reviewing the estimate. The paper also presents a methodology for generating cash flow and required payments. This methodology depends on integrating the developed program with 4D feature of BrIM.


2014 ◽  
Vol 501-504 ◽  
pp. 2700-2705 ◽  
Author(s):  
Li Shen ◽  
Ya Xing Lin

The application of Building Information Modeling has become a trend in construction industry, it is our duty to accelerate BIM application in recent years. Firstly, the paper generally introduced the concepts and characteristics of BIM, and pointed out the problems that existed in Chinas Project Management of Construction Enterprises, and theoretically, technically discussed the solutions to these issues with BIM technology in a qualitative way. At last, the paper proposed some suggestions and outlooks for the development and promotion of BIM technology in China.


Vestnik MGSU ◽  
2020 ◽  
pp. 867-906 ◽  
Author(s):  
Vladimir A. Volkodav ◽  
Ivan A. Volkodav

Abstract Introduction. Various building information classification systems are used internationally; their critical analysis makes it possible to highlight basic requirements applicable to the Russian classifier and substantiate its structure and composition. Materials and methods. Modern international building information classification systems, such as OmniClass (USA), Uniclass 2015 (UK), CCS (Denmark), and CoClass (Sweden), are considered in the article. Their structure, composition, methodological fundamentals are analyzed. In addition to international classification systems, Russian construction information classifiers are analyzed. Results. The structure of a building information classifier has been developed and tailored to the needs of BIM (building information modeling) and national regulatory and technical requirements. The classifier’s structure complies with the one recommended by ISO 12006-2:2015. Its composition has regard to the requirements that apply to the aggregation and unification of Russian classifiers, and it also benefits from the classifiers developed for and used by the construction industry. The proposed building information classifier has four basic categories and 21 basic classes. Conclusions. The proposed structure and composition of a building information classifier represent a unified and universal tool for communicating building information or presenting it in the standardized format in the consolidated information space designated for information models needed to manage life cycles of major construction projects.


2021 ◽  
Vol 27 (7) ◽  
pp. 485-499
Author(s):  
Shengxi Zhang ◽  
Zhongfu Li ◽  
Tianxin Li ◽  
Mengqi Yuan

Building information modeling (BIM) and prefabricated construction (PC) are increasingly applied in the construction industry. Recent academic and industrial efforts indicated that the application of BIM and PC is a solution to reduce lifecycle costs, reduce waste, increase productivity and improve quality in construction. Although previous studies have advanced the integration of BIM and PC, extensive research scope and scattered research topics cannot form an overall picture of knowledge structure. Hence, this study aims to establish an up-to-date synthesis of the latest research on BIM for PC and identify the research gaps and future needs. First, a database with 103 journal articles on BIM for PC was established through data collection; second, a bibliometric analysis was applied to determine the top journals, articles and to map the latest mainstream research. Last, a qualitative analysis was used to determine the mainstream research areas and identify the research gaps and future needs. This study may contribute to enrich our body of knowledge on the use of the techniques in conjunction, help researchers and builders to understand the latest progress of BIM for PC research in timely fashion, and promote the integration of BIM with PC and other cutting-edge technologies moving forward.


Author(s):  
Sagar V. Mundhokar

Abstract: Construction industry is believed to be one of the most criticized industries worldwide. During the last two decades, this criticism has denoted a lot of problems. Without disregarding any of the industry problems, it seems that the most criticized problems are low delivery performance, lack of innovation, lack of collaboration and fragmented nature of the industry. To overcome these problems, a collaborative work environment is needed. During the last few years, the use of advanced information technologies in construction hasincreased to support the industry requirement of collaboration environment. Keywords: Building Information Modeling BIM, BIMimplementation, BIM Barriers


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