scholarly journals USE OF BIM WITH PHOTOGRAMMETRY SUPPORT IN SMALL CONSTRUCTION PROJECTS. CASE STUDY FOR COMMERCIAL FRANCHISES

2020 ◽  
Vol 26 (6) ◽  
pp. 513-523
Author(s):  
Antonio J. Loredo Conde ◽  
Justo García-Sanz-Calcedo ◽  
Antonio M. Reyes Rodríguez

Building Information Modelling for small constructions is a useful working tool aimed at providing alternative solutions in building engineering. However, it is not commonly applied to this purpose, and even less together with photogrammetry techniques. This work seeks to analyse the advantages of this methodology with photogrammetry support in small projects. To this end, 121 commercial franchise projects in the field of perfume and cosmetic industry were studied in order to assess the benefits of BIM methodology. These projects were developed between 2011 and 2016. BIM protocols were shown to achieve 20% reduction in costs per project and in working periods (4.11 days), which led to a productivity improvement exceeding 27%. The total period until opening to public was observed to decrease in 10.09 days, and the number of inquiries and doubts during the project execution phase handled by the construction companies were seen to reduce by 25%. Moreover, the return of investment (ROI) corresponding to the implementation of BIM protocols was found to be more favourable than that of CAD (41.88%), with associated internal rate of return (IRR) of 34.5%. The validity of the results is limited to the scope of works for small commercial premises.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S. Hemalattha ◽  
R. Vidjeapriya

PurposeThis study aims to develop a framework for optimizing the spatial requirements of the equipment in a construction site using a geographic information system (GIS).Design/methodology/approachAn ongoing construction project, an existing thermal powerplant in India, is considered to be the case study, and the corresponding construction activities were scheduled. The equipment spaces were defined for the scheduled activities in building information modelling (BIM), which was further imported to GIS to define the topology rules, validate and optimize the spatial requirements. The BIM simulates the indoor environment, which includes the actual structure being constructed, and the GIS helps in modelling the outdoor environment, which includes the existing structures, temporary facilitates, topography of the site, etc.; thus, this study incorporates the knowledge of BIM in a geospatial environment to obtain optimized equipment spaces for various activities.FindingsSpace in construction projects is to be considered as a resource as well as a constraint, which is to be modelled and planned according to the requirements. The integration of BIM and GIS for equipment space planning will enable precise identification of the errors in the equipment spaces defined and also result in fewer errors as possible. The integration has also eased the process of assigning the topology rules and validating the same, which otherwise is a tedious process.Originality/valueThe workspace for each activity will include the space of the equipment. But, in most of the previous works of workspace planning, only the labour space is considered, and the conflicts and congestions occurring due to the equipment were neglected. The planning of equipment spaces cannot be done based only on the indoor environment; it has to be carried out by considering the surroundings and topography of the site, which have not been researched extensively despite its importance.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Thu Anh Nguyen ◽  
Phong Thanh Nguyen ◽  
Sy Tien Do

The construction industry has played an essential role in the process of modernization and industrialization and it has also been a major factor in determining the development of the infrastructure for other economic sectors. Construction companies consider the measurement of work progress, which often wastes time and has a low resolution, to be one of the most challenging problems faced by project management. Therefore, this research aimed to propose practical solutions by applying recent technological achievements of the 4.0 industrial revolution to improve the efficiency of the quantity management process. By utilizing the advantages and features of a BIM model and 3D laser scanning, this paper proposes that adopting a BIM model and 3D laser scanning has the potential to improve the accuracy and efficiency of the quantity management process. The case study demonstrated some typical tasks to evaluate accuracy and efficiency as well as to showcase the research proposal.


2017 ◽  
Vol 23 (8) ◽  
pp. 1045-1059 ◽  
Author(s):  
Mostafa KHANZADI ◽  
Ehsan ESHTEHARDIAN ◽  
Mahdiyar MOKHLESPOUR ESFAHANI

Cash-flow management is very important for contractors given that inadequate cash resources typically are the main causes for bankruptcy of construction companies. In comparison to most other industries, the construction industry is severely plagued by risk, and the success of construction projects usually depends on valuating all risks. However, conventional methods suggested by extant research on cash flow forecasting do not consider comprehensive identifica­tion of risk factors, interactions between the factors, and simultaneous occurrences of the factors. This study introduced a simple and appropriate probabilistic cash flow forecasting model using Bayesian Belief Networks (BBNs) to avoid bankruptcy of contractors by considering influence diagrams and risk factors that affect a project. Workability and reli­ability of the proposed approach was tested on an important building construction project in Iran as a real case study, and the results indicated that the model performed well.


2021 ◽  
Vol 21 (2) ◽  
Author(s):  
Themba Lukhele ◽  
Brink Botha ◽  
Sijekula Mbanga

Construction projects are of very complex nature, and subject to circumstances of high uncertainties and risks due to the interdependences of activities and processes in the project performance.  As a result of the dynamic complexities inherited in construction projects, changes in the scope of work are inevitable. Of particular concern is that, when scope changes are introduced in a project, contractors follow a systematic procedure in managing the changes, but with poor planning and implementation thereof because the project complexities that underpin the scope changes are not fully understood. Therefore, despite that complexity is an inherent and defining feature of construction projects, studies in the literature have failed to grasp and present the dynamics of project complexity which underlie the scope changes in the delivery of construction project. The TOE (Technical Organizational Environmental) framework was adopted and applied on a multiple-case study research design in order to explore and denote project complexity relations to scope changes in construction projects. Through a content analysis procedure, six key elements of project complexities that relate to scope changes in the construction projects has emerged. Understanding these complexity elements could enable the project management team to apply a front-end planning approach in the initiation phase of the projects in order to better manage scope changes in the execution phase of the project, and eventually to improve the project performance.


2021 ◽  
Vol 13 (21) ◽  
pp. 12132
Author(s):  
Ming Shan ◽  
Yu-Shan Li ◽  
Bon-Gang Hwang ◽  
Jia-En Chua

Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the assessment of the productivity of construction projects. First, a literature review was conducted first to identify prevailing productivity metrics at four levels, namely trade, project, company, and industry. Then, the questionnaire was developed and disseminated to 53 Singapore-based construction companies for data collection. Subsequently, non-parametric statistical tests were conducted to analyze the data collected by the questionnaire. Results showed that the top five metrics in terms of usage frequency and relative importance were “constructability score”, “buildable design score”, “square meter of built-up floor area per man-day”, “square meter per dollar”, and “output per worker.” In addition, results showed that differences existed in the assessment results when productivity metrics at different levels were used to conduct the same measurement. This is the first study to explore the most widely used metrics in productivity assessments of construction projects and investigate possible differences in assessment results. This study could help the authorities to review, evaluate, and modify the productivity metrics used in practice. Thus, this study is beneficial to the practice as well.


2019 ◽  
Vol 25 (1) ◽  
pp. 53-75 ◽  
Author(s):  
Timothy O. Olawumi ◽  
Daniel W. M. Chan

The study aims to develop an effective BIM-project information management framework (BIM-PIMF) and associated assessment model for construction projects with a view to enhancing the functional management of project information. An explanatory case study technique and case study evidence from four BIM construction projects form the study’s research design. The study identified and established the three sub-criteria of the BIM-PIMF model which are the BIM process level factors, BIM product level factors, and the key indicators for a successful BIM deployment on construction project sites. These criterias were semantically linked to the development of the BIM-PIMF framework on a five-point metric scale. The deliverables of this study include the development of the BIM-PIMF framework, together with its analytical scoring system. The findings of the study will improve the information channels of and ease the integration of technological innovations in construction processes while improving the technical competencies of project staff. The study highlighted a basket of effective recommendations and strategies to enhance the deployment of BIM throughout a project lifecycle. Policymakers and government departments can utilize the model in assessing the level of usage of BIM in a construction project as one of the useful measures in gauging which construction firms to be provided subsidies.


Lean Construction techniques have been introduced as an alternative way for conventional construction process in 1990’s.. It is described as a process of eliminating waste, increasing worth and value, and meeting or extraordinary client necessities and requirements. Waste reduction and customer value satisfaction are important factors to be considered in implementing construction projects. Building Information Modeling (BIM) is an intelligent model based process. BIM implementation seems to more advantageous in construction industry, for instance, it makes use of visualization technique of a product to facilitate architecture, engineering and construction professionals to effectively plan, design and manage infrastructure. Review of literature is administered and a survey is conducted to identify major issues involved in adopting Lean and BIM in construction sector. The present study depends mostly on the survey questionnaires from building professionals. Totally forty construction companies were selected for the questionnaire survey. The results obtained were analyzed in Statistical Package for Social Science (SPSS). The outcome of the study indicates that Lean and BIM implementation is necessary for allocation of resources, quality improvement and it enhances the sustainability of building and also it signifies that there is a shortage in lack of awareness, lack of framework and professionals.


2017 ◽  
Vol 17 (3) ◽  
pp. 167-181 ◽  
Author(s):  
Luiz Mauricio Furtado Maués ◽  
Wylliam Bessa Santana ◽  
Paulo Cerqueira dos Santos ◽  
Renato Martins das Neves ◽  
André Augusto Azevedo Montenegro Duarte

Abstract he construction industry is one of the industrial sectors with the lowest rates of fulfilment of contract deadlines, especially in developing countries. This fact has been the focus of considerable discussions seeking to identify the causes of the delays. The main purpose of this paper is to use factor analysis to identify the factors that are correlated with delay, contemplating exclusively residential real estate projects and using a city in the Brazilian Amazon as a case study. Based on the database from the government agency that authorises constructions in the city of Belém (City Planning Department - Secretaria Municipal de Urbanismo, SEURB) and data from construction companies, the study investigated 274 construction projects from the past 11 years. Factor analysis and work with the variables that can be identified and measured in the initial phase of the project, i.e., during the feasibility study, demonstrate that the physical characteristics of the apartments and the construction project are the primary causes for variations in construction delays; these causes have not yet been reported in the literature. We hope that the results of this study will contribute to more consistent forecasting of construction time, minimising the risk of delays.


Author(s):  
Clark Cory ◽  
Shanna Schmelter-Morrett

This chapter presents an educational case study of applying Building Information Modeling (BIM) as an integrated design platform for interdisciplinary building and construction projects. The course is meant to focus on utilizing BIM for commercial construction. Students examine 3D geometry, spatial relationships, geographic information, quantities of materials, and properties of building components in this course. The students also learn the processes that make up BIM so they will be able to apply this information in a company. The purpose of the initial study was to assess the need for and receive feedback on the syllabus of the first commercial construction computer graphics course at Purdue University through a survey that was sent to industry professionals. The class was taught in the Fall 2009 semester and was successful according to the students in what they learned. The course was a 400 level course in which both upper level undergraduates and graduate students participated. The professor took the approach of a real world job and incorporated it into the content of the course. This chapter will discuss the initial case study of industrial professionals, the initial course creation, the development, and ultimately the final curriculum delivered within the course, as well as student feedback received at the end of the semester.


2018 ◽  
pp. 22-38
Author(s):  
Natalija Lepkova ◽  
◽  
Rana Maya ◽  
Sonia Ahmed ◽  
Vaidotas Šarka ◽  
...  

Recently, Building information modelling (BIM) proves its capability to solve the raised AEC industry issues. Therefore, several countries and entities pursue to transform into BIM especially the developed countries. Lithuania as a European country has a great challenge to cap up with the surrounding environment to implement BIM. This study aims to determine the BIM maturity levels in Lithuania and supposed the missed steps to upgrade to the next level. Eighteen important Lithuanian construction projects awarded the most successful implementing BIM are chosen as a case study. Face-to-face interviews were conducted with several BIM experts whose work at the chosen projects. The analysis conducted by the most effective theoretical model entitled BIM Maturity Matrix (BIMM). The key findings of this research that Lithuania reached the BIM implementing maturity level 2 while some projects still at level 1 that proves the ability of Lithuanian AEC industry to softly and completely transfer the maturity to level 2 by the recommendation provided through the proposed approach at the end of the paper. These results provide a stunning opportunity to improve the AEC project performance and reap the benefits of implementing BIM. Future studies can develop a framework to improve the BIM implementation in Lithuania softly.


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