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Adesi, M, Owusu-Manu, D and Murphy, R (2018) Strategic competences for pricing quantity surveying consultancy services. Engineering, Construction and Architectural Management, 25(03), 458–74.

Deng, X, Low, S P, Zhao, X and Chang, T (2018) Identifying micro variables contributing to political risks in international construction projects. Engineering, Construction and Architectural Management, 25(03), 317–34.

Hassim, S, Muniandy, R, Alias, A H and Abdullah, P (2018) Construction tender price estimation standardization (TPES) in Malaysia. Engineering, Construction and Architectural Management, 25(03), 443–57.

  • Type: Journal Article
  • Keywords: Project management; Decision support systems; Estimating; Construction planning; Questionnaire survey;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-09-2016-0215
  • Abstract:
    The pre-tender estimation process is still a hazy and inaccurate process, despite it has been practiced over decades, especially in Malaysia. The methods evolved over time largely depend on the amount of information available at the time of estimation. More often than not, the estimate produced during the pre-tender stage is far more than the tender cost of the project and sometimes, it is perilously underestimated and caused major problems to the client in the monetary planning. The purpose of this paper is to determine the most influential factors on the deviation of pre-tender cost estimation in Malaysia by conducting a survey. Design/methodology/approach Fuzzy logic, combined with artificial neural network method (fuzzy neural network) was then used to develop an estimating model to aid the pre-tender estimation process. Findings The results showed that the model is able to shift the cost estimation toward accuracy. This model can be used to improve the pre-tender estimation accuracy, enabling the client to take the necessary early measures in preparing the funding for a building project in Malaysia. Originality/value To the authors’ knowledge, this is the first study on tender price estimation standardization for a construction project in Malaysia. In addition, the authors have used factors from literature for the model, which shows the thoroughness of the developed model. Thus, the findings and the model developed in this study should be able to assist contractors in coming out with a more accurate tender price estimation.

Holt, G D (2018) Let’s change tack, not wind direction: a response to Kog and Yaman (2016). Engineering, Construction and Architectural Management, 25(03), 335–41.

Pellegrino, R and Costantino, N (2018) An empirical investigation of the learning effect in concrete operations. Engineering, Construction and Architectural Management, 25(03), 342–57.

Shurrab, M, Abbasi, G and Al Khazaleh, R (2018) Evaluating the effect of motivational dimensions on the construction project managers in Jordan. Engineering, Construction and Architectural Management, 25(03), 412–24.

Sundquist, V, Hulthén, K and Gadde, L E (2018) From project partnering towards strategic supplier partnering. Engineering, Construction and Architectural Management, 25(03), 358–73.

Wang, Q, Guo, Z, Mei, T, Li, Q and Li, P (2018) Labor crew workspace analysis for prefabricated assemblies’ installation. Engineering, Construction and Architectural Management, 25(03), 374–411.

Zhang, R P, Pirzadeh, P, Lingard, H and Nevin, S (2018) Safety climate as a relative concept. Engineering, Construction and Architectural Management, 25(03), 298–316.

Zuo, J, Zhao, X, Nguyen, Q B M, Ma, T and Gao, S (2018) Soft skills of construction project management professionals and project success factors. Engineering, Construction and Architectural Management, 25(03), 425–42.