scholarly journals Comparative Cost Estimation of Residential Building

Author(s):  
Prof. Amit Kale

Abstract: A construction project of any building is mainly based on 3 important steps that are planning, Cost Estimation of the building and proper execution of construction of the building. Construction cost estimation has the lion’s share of the research effort in construction management. The Objective is to analyze the effectiveness of various cost estimation methods by comparing traditional and various online websites. This study will provide more accurate estimates that save time and minimize errors. The research conducted will be helpful for estimation of construction, also proving how the introduction of IT sector in construction industry is turning out to be beneficial. Keywords: Estimation, Construction Management, Online Websites, minimize errors

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Abdelrahman Osman Elfaki ◽  
Saleh Alatawi ◽  
Eyad Abushandi

Cost estimation is the most important preliminary process in any construction project. Therefore, construction cost estimation has the lion’s share of the research effort in construction management. In this paper, we have analysed and studied proposals for construction cost estimation for the last 10 years. To implement this survey, we have proposed and applied a methodology that consists of two parts. The first part concerns data collection, for which we have chosen special journals as sources for the surveyed proposals. The second part concerns the analysis of the proposals. To analyse each proposal, the following four questions have been set. Which intelligent technique is used? How have data been collected? How are the results validated? And which construction cost estimation factors have been used? From the results of this survey, two main contributions have been produced. The first contribution is the defining of the research gap in this area, which has not been fully covered by previous proposals of construction cost estimation. The second contribution of this survey is the proposal and highlighting of future directions for forthcoming proposals, aimed ultimately at finding the optimal construction cost estimation. Moreover, we consider the second part of our methodology as one of our contributions in this paper. This methodology has been proposed as a standard benchmark for construction cost estimation proposals.


Author(s):  
Ming Hu ◽  
Miroslaw Jan Skibniewski

An overall scoping review was conducted to examine research on building construction costs in the past decades. The aim is to provide a better understanding of conventional building construction cost estimation methods, gaps and potential improvement strategies that may mitigate the high risk of the cost overrun in conventional and sustainable building. This study first examined the components included in a building's construction cost and the commonly used calculation methods for cost estimation. Then, additional components included for sustainable buildings were identified and explained. The causal factors for construction cost overruns in sustainable building werediscussed as well. The findings concluded the following: (a) there is no consistent cost definition used in the industry; (b) a variety of cost estimation methods create ambiguity and confusion; and (c) newer cost estimating methods and tools, such as parametric cost estimation, which integrate risk and uncertainties have not been broadly adopted by the building industry. The current practice used to determine a sustainable building's cost estimation is the same traditional method that has been used over several decades, which is based on the material and labor costs. Such a conventional approach does not consider other factors, including the complexity of the sustainable building system, an organization's environment, and the capability of teams, among others. To respond to such a knowledge gap, a comprehensive and consistent cost estimation framework was proposed to integrate risk and uncertainty consideration, which is particularly prevalent in sustainable building.


Author(s):  
Azeanita Suratkon ◽  
◽  
Riduan Yunus ◽  
Rafikullah Deraman ◽  
◽  
...  

Design-Bid-Build (DBB) or commonly known as Traditional method is the earliest and most prevalent procurement method used in Malaysian construction industry. Design-Build (DB) and Construction Management (CM) procurement methods were later introduced in Malaysia as an endeavour to satisfy and accommodate the increase in project complexity and the need for avoiding drawbacks of the Traditional methods. Each procurement method has different nature and possesses certain characteristics. Therefore, this study was carried out to ascertain and compare the characteristics of these three procurement methods that are implemented in building construction projects in Malaysia. A questionnaire survey was conducted among architects, consultants, contractors and owners or developers to elicit their feedback on the characteristics which were categorised into time, cost, quality, complexity and flexibility, degree of involvement and responsibility allocation and technical expertise. The findings indicated that only DB method almost fulfils all the characteristics under the six categories, whereas, DBB methods garnered agreement only for certain characteristics under time, cost, complexity and flexibility and technical expertise categories. Meanwhile, the only CM method’s characteristics that satisfy agreement from the respondents are the often used of fast track approach and lack of certainty in price. This study concludes that when a procurement method is adopted for a construction project, not all the features or characteristics will turn out as expected. There are many factors that contribute and are influential on the success in procurement methods that are worth for further investigation.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yoonseok Shin

Among the recent data mining techniques available, the boosting approach has attracted a great deal of attention because of its effective learning algorithm and strong boundaries in terms of its generalization performance. However, the boosting approach has yet to be used in regression problems within the construction domain, including cost estimations, but has been actively utilized in other domains. Therefore, a boosting regression tree (BRT) is applied to cost estimations at the early stage of a construction project to examine the applicability of the boosting approach to a regression problem within the construction domain. To evaluate the performance of the BRT model, its performance was compared with that of a neural network (NN) model, which has been proven to have a high performance in cost estimation domains. The BRT model has shown results similar to those of NN model using 234 actual cost datasets of a building construction project. In addition, the BRT model can provide additional information such as the importance plot and structure model, which can support estimators in comprehending the decision making process. Consequently, the boosting approach has potential applicability in preliminary cost estimations in a building construction project.


Development material administration from the underlying stage to the development stage is the fundamental issue for the structure extends the expense of the undertaking increments when the arranging, controlling and coordinating of material is poor. To keep up the viable material administration to accomplish a convenient inventory of material and gear and to diminish the task cost and finish on schedule. This paper clarifies about the systems which are utilizing for stock control the board for development venture ABC analysis will be applied for four exceptionally affected materials by utilizing this method we will acquire economic development utilizing the S-CURVE strategy for the variety between arranged expense and genuine expense for material things however materials waste is the major problems in Afghanistan construction industry that has significant implications in both the proficiency of the business and the natural effect of construction project due to top material management.


2020 ◽  
Vol 3 (1) ◽  
pp. 31
Author(s):  
Dedy Asmaroni ◽  
Aldi Setiawan

In a construction project there are various stages related to construction management, in which there are various problems regarding the management of costs and time off work so that in its implementation we need a system for cost management and time management so that in its implementation, the project can be completed on time as planned and the costs incurred according to the needs of the project being worked on. In writing this article the main study is, how is the project performance in terms of cost and time, how is the application of EVA (Earned Value Analysis) to predict the costs and the final time of completion of the project, are there any advantages or disadvantages that may occur in the completion of a construction project PT Graha Praja Kencana Residential Building in Ceguk Village, Tlanakan District, Pamekasan Regency? To answer this problem, a qualitative approach with a descriptive type was conducted. Sources of data obtained through interviews, observations, and documentation with respondents, namely consultants, contractors, and the Director of PT Graha Praja Kencana. From the results of data analysis, it can be concluded that shows that the costs incurred are lower than the planned budget, the time of project implementation according to the schedule from the initial planning, the costs incurred every week from week 1 to week 9 experienced a very significant increase, and the profits obtained by the contractor until the end of the project starting from the first week to the 9th week of Rp. Rp. 8,978,737.20.


2016 ◽  
Vol 28 (2) ◽  
pp. 115-115
Author(s):  
Thomas Bock ◽  
Tetsuji Yoshida

  The construction industry is one of the largest economicalsectors in developed countries. The economical contributionof the construction industry is comparable withthe contribution of the manufacturing industry. However,the construction industry is one of the most unfamiliar areasof R&D in the robotics community. The first ideasfor construction robots appeared in the 1970s in Japan.Due to quality problems of construction works, lack ofskilled labor, low productivity, numerous accidents andfatalities and high construction demand, the first prototypesof construction robots were developed towards theend of the 1970s. Since then more than 200 constructionrobots and service robots for buildings have been developed,but only about 10% of them have been successfullyintroduced to the construction market. The developmentof on-site robots in the 1980s peaked with the developmentof integrated automated building construction sitesin the 1990s. In the beginning of the 21st century humanoidrobots were researched and tested. In the futurewe will see robots that care for the elderly and handicappedas a further development of construction robots.   This issue gives an overview on the state of art ofrobotic technologies in construction. The introductoryarticle also relates the construction robotics developmentto the industrial robotics technology in the prefabricationsector of the 1970s, gives examples of various constructionrobotics developments of the 1980s, the integratedautomated building construction sites since the 1990s, andthe humanoid construction robotics developments and integratedindustrialization efforts of recent date. Roboticsubtechnologies such as programming, sensors, kinematics,teleoperation, navigation, human-robot interaction arepresented to the reader. During the last years much efforthas been devoted to the application of robots and roboticstechnology in construction works. Most of them are forout-door application, where the tasks are developed incomplex unstructured environments and under hazardousconditions. The construction robots introduced during thelast years have dramatically improved labor conditions,productivity and quality levels, and also have increasedthe safety conditions for operators. The nowadays constructionrobotics technology tries to take advantage ofthe last developments for control, navigation, localization,human-machine interface or sensor use. Howeverrobotics in construction is still a very challenging topic inorder to clarify many unsolved R&D issues.   The purpose of this special issue is to provide a reviewof open issues and new developments in robotics inconstruction, ranging from major construction engineeringprojects to residential building construction: <ul> <li>  • Robotics for building construction.</li> <li>  • Robotics for civil engineering: roads, bridges, earthmoving, etc.</li> <li>  • Inspection, maintenance and infrastructures robots.</li> <li>  • Navigation, mapping and localization of robots inconstruction environments.</li> <li>  • Technology components for construction robots: 3Dsensors, end-effectors, HMI, control strategies, cooperation,safety, etc.</li> </ul>


2017 ◽  
Vol 1 (1) ◽  
pp. 8-13
Author(s):  
Abimbola Windapo ◽  
Sunday Odediran ◽  
Alireza Moghayedi ◽  
Abdul Adediran ◽  
David Oliphant

Completing project within cost is the target of most clients on any construction project. However, the achievement of this desire is just an imagination in the construction industry, because procurement and execution environments for projects are hostile and unpredictable. This study examines the determinants of building construction costs in South Africa and whether changes in the cost of certain resource factors such as construction equipment, labour and materials can be related to changes in building construction costs. The study employs a longitudinal cross-sectional quantitative research design approach and makes use of literature review and historical data obtained from institutional and governmental databases to identify the determinants. The data collected were analysed using time series analysis to confirm the trends in the cost of the resource factors and its alignment to the changes in building construction cost. After that, it makes use of an appropriate predictive modelling tool or causal analysis in establishing the determinants of construction cost. The results show that the price indices of construction equipment (EI), labour (LI) and materials (MI) have a gentler slope when compared with the Building Cost Index (BCI). It also emerged that later levels of the BCI are significantly and positively related to EI. The findings infer that the key determinant of increase in building construction costs in South Africa is equipment costs. Contractors and public or private sector clients in South Africa must utilize construction equipment optimally on projects, and these pieces of equipment should not be left idle on project sites or plant yards. Appropriate provisions should be made of equipment utilization policies which allow the joint ownership of equipment by contractors to mitigate the problems of cost increases. There are widely unexamined assumptions as to what resource factors are responsible for the growth in building construction costs in South Africa. Also is the similar high risk and uncertainty affecting the South African construction industry as a result of these fluctuations. The results of the study extend the knowledge of the resource factors responsible for building construction costs increases.     


2021 ◽  
Vol 16 (2) ◽  
pp. 7-23
Author(s):  
Jana Smetanková ◽  
Peter Mésároš ◽  
Katarína Krajníková

Abstract Technological progress is reflected in all industries. Obsolete project manuals in the construction industry are being replaced by digitized automated controls that monitor the project in real-time. One of the main trends is the introduction of technologies based on data analytics. Effective use of technology to collect and analyse data is key to improving a building's planning and management across its life cycle. Building information models, which process digital content related to the entire life cycle of a building, are becoming an effective tool. The main goal of the paper is to design and identify the structure of the developed database, which, based on the acquired knowledge, contains graphical models that have selected non-graphical information.


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