Critical determinants of construction tendering costs: Quantity surveyors’ standpoint

Elhag, Taha; Boussabaine, Abdelhalim; Ballal, Tabarak

doi:10.1016/j.ijproman.2005.04.002

Cited by 101 publications

(91 citation statements)

References 10 publications

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“…Figure (6) shows that the area of typical floor has the highest rate of influence on the total cost of projects. The value 175 for the area of typical floor input parameter is the value of the standard deviation for 116 output values.…”

Section: Figure VI Sensitivity About the Meanmentioning

confidence: 99%

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A Neural Network Model for Building Construction Projects Cost Estimating

El-Sawalhi

Shehatto²

2014

Journal of Construction Engineering and Project Management

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The purpose of this paper is to develop a model for forecasting early design construction cost of building projects using Artificial Neural Network (ANN). Eighty questionnaires distributed among construction organizations were utilized to identify significant parameters for the building project costs. 169 case studies of building projects were collected from the construction industry in Gaza Strip. The case studies were used to develop ANN model. Eleven significant parameters were considered as independent input variables affected on "project cost". The neural network model reasonably succeeded in estimating building projects cost without the need for more detailed drawings. The average percentage error of tested dataset for the adapted model was largely acceptable (less than 6%). Sensitivity analysis showed that the area of typical floor and number of floors are the most influential parameters in building cost.

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Section: Figure VI Sensitivity About the Meanmentioning

confidence: 99%

“…The primary function of cost estimation is to produce a credible cost prediction of a construction project. However, the predicted cost depends on the requirements of a client and upon the information and data available [6].…”

Section: Introductionmentioning

confidence: 99%

A Neural Network Model for Building Construction Projects Cost Estimating

El-Sawalhi

Shehatto²

2014

Journal of Construction Engineering and Project Management

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“…Factors with respect to client characteristics, consultant and design parameters, contractor attributes, project characteristics, contract procedures and procurement methods, and external market conditions [1] are often examined for their influences on the four MCEI separately. For instance, factors related to contractual arrangements [2,5], contractor attributes [2], market conditions [5] are found to be the main causes of cost overrun; factors related to client characteristics, contractor attributes are found to be the major determinants for bid/no bid decision [3]; and factors related to market conditions and a Corresponding author : tohtc@utar.edu.my contractual arrangements are found to be the critical determinants of estimating accuracy [4].…”

Section: Research Background and Motivationmentioning

confidence: 99%

“…Cost estimation, bid/no bid decision, estimating accuracy, and cost overrun are the four main cost estimating issues (MCEI) investigated by many previous researchers from different parts of the world for decades. Factors relating to client characteristics, consultant and design parameters, contractor attributes, project characteristics, contract procedures and procurement methods, and external market conditions [1] are examined for their influences on those four MCEI separately. However, very little attention is paid on the comparison of factors rankings across those four MCEI.…”

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confidence: 99%

Influential Factors in Estimating and Tendering for Construction Work

Choon

Sim

Ting

et al. 2016

MATEC Web of Conferences

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Abstract. Cost estimation, bid/no bid decision, estimating accuracy, and cost overrun are the four main cost estimating issues (MCEI) investigated by many previous researchers from different parts of the world for decades. Factors relating to client characteristics, consultant and design parameters, contractor attributes, project characteristics, contract procedures and procurement methods, and external market conditions [1] are examined for their influences on those four MCEI separately. However, very little attention is paid on the comparison of factors rankings across those four MCEI. Results from comparing those factors rankings improve the understandings on cost estimating issues. Thus, this study aims to compare the factors rankings across the four MCEI and evaluate the degree of agreement between the four sets of ranks for their influential factors. Four previous studies, each examining factors affecting each of the four MCEI are selected through literature survey for analysis. Influential factors from each previous study are assigned to their related categories: client, consultant, contractor, project, contract, and environment. Kendall's coefficient of concordance is used to assess interjudge reliability. The computed correlation indicates a moderate degree of association between the four sets of ranks. It is found that the four MCEI are influenced by different factors with different ranks and hence should be treated as different MCEI and be managed differently. Research Background and MotivationFactors with respect to client characteristics, consultant and design parameters, contractor attributes, project characteristics, contract procedures and procurement methods, and external market conditions [1] are often examined for their influences on the four MCEI separately. For instance, factors related to contractual arrangements [2,5], contractor attributes [2], market conditions [5] are found to be the main causes of cost overrun; factors related to client characteristics, contractor attributes are found to be the major determinants for bid/no bid decision [3]; and factors related to market conditions and a Corresponding

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“…It is noticeable that complexity-oriented scholars in the built environment have, to varying degrees, adopted this third strategy, the analysis of perceptions from particular identified points of view (Smallwood, 2000;Bertelsen 2004;Bertelsen and Emmitt 2005;Bresnen, Goussevskaia and Swan 2005;Elhag, Boussabaine and Ballal 2005).…”

Section: /26mentioning

confidence: 99%

Models and metaphors: complexity theory and through-life management in the built environment

Rooke

Molloy

Sinclair

et al. 2008

Architectural Engineering and Design Management

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Complexity thinking may have both modelling and metaphorical applications in the through-life management of the built environment. These two distinct approaches are examined and compared. In the first instance, some of the sources of complexity in the design, construction and maintenance of the built environment are identified. The metaphorical use of complexity in management thinking and its application in the built environment are briefly examined. This is followed by an exploration of modelling techniques relevant to built environment concerns. Non-linear and complex mathematical techniques such as fuzzy logic, cellular automata and attractors, may be applicable to their analysis.Existing software tools are identified and examples of successful built environment applications of complexity modelling are given. Some issues that arise include the definition of phenomena in a mathematically usable way, the functionality of available software and the possibility of going beyond representational modelling. Further questions arising from the application of complexity thinking are discussed, including the possibilities for confusion that arise from the use of metaphor.The metaphor of a 'commentary machine' is suggested as a possible way forward and it is suggested 1/26 Models and Metaphors 2008 Rooke, Molloy, Sinclair, Koskela, Siriwardena, Kagioglou, Siemieniuch that an appropriate linguistic analysis can in certain situations reduce perceived complexity.

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Critical determinants of construction tendering costs: Quantity surveyors’ standpoint

Cited by 101 publications

References 10 publications

A Neural Network Model for Building Construction Projects Cost Estimating

A Neural Network Model for Building Construction Projects Cost Estimating

Influential Factors in Estimating and Tendering for Construction Work

Models and metaphors: complexity theory and through-life management in the built environment

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