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Aghimien, D O, Aghimien, E I, Fadiyimu, A O and Adegbembo, T F (2018) Survival strategies of built environment organisations in a challenging economy. Engineering, Construction and Architectural Management, 25(07), 861–76.

Aghimien, D O, Oke, A E and Aigbavboa, C O (2018) Barriers to the adoption of value management in developing countries. Engineering, Construction and Architectural Management, 25(07), 818–34.

Bao, F, Chen, C, Chan, A P, Martek, I and Shrestha, A (2019) Dynamic framework transfer model for public–private partnerships. Engineering, Construction and Architectural Management, 26(07), 1218–39.

Chen, C, Tang, L, Hancock, C M and Zhang, P (2019) Development of low-cost mobile laser scanning for 3D construction indoor mapping by using inertial measurement unit, ultra-wide band and 2D laser scanner. Engineering, Construction and Architectural Management, 26(07), 1367–86.

Chen, K and Lu, W (2019) Bridging BIM and building (BBB) for information management in construction. Engineering, Construction and Architectural Management, 26(07), 1518–32.

Chia, F C, Skitmore, M, Gray, J and Bridge, A (2018) International comparisons of nominal and real construction labour productivity. Engineering, Construction and Architectural Management, 25(07), 896–915.

Cui, Z, Liu, J, Xia, B and Cheng, Y (2019) Beyond national culture difference. Engineering, Construction and Architectural Management, 26(07), 1476–97.

Dang, C N and Le-Hoai, L (2018) Revisiting storey enclosure method for early estimation of structural building construction cost. Engineering, Construction and Architectural Management, 25(07), 877–95.

Goel, A, Ganesh, L and Kaur, A (2020) Social sustainability considerations in construction project feasibility study: a stakeholder salience perspective. Engineering, Construction and Architectural Management, 27(07), 1429–59.

Hasan, A, Baroudi, B, Elmualim, A and Rameezdeen, R (2018) Factors affecting construction productivity: a 30 year systematic review. Engineering, Construction and Architectural Management, 25(07), 916–37.

Karami, H and Olatunji, O A (2020) Critical overrun causations in marine projects. Engineering, Construction and Architectural Management, 27(07), 1579–94.

Khattak, M S and Mustafa, U (2019) Management competencies, complexities and performance in engineering infrastructure projects of Pakistan. Engineering, Construction and Architectural Management, 26(07), 1321–47.

Leung, M, Famakin, I O and Wang, C (2019) Developing an integrated indoor built environment–quality of life model for the elderly in public and subsidized housing. Engineering, Construction and Architectural Management, 26(07), 1498–517.

Lew, Y, Hassim, S, Muniandy, R and Hua, L T (2018) Structural equation modelling for subcontracting practice: Malaysia chapter. Engineering, Construction and Architectural Management, 25(07), 835–60.

Li, G, Chen, C, Zhang, G and Martek, I (2019) Bid/no-bid decision factors for Chinese international contractors in international construction projects. Engineering, Construction and Architectural Management, 27(07), 1619–43.

Liu, N, Ruan, L, Jin, R, Chen, Y, Deng, X and Yang, T (2019) Investigation of individual perceptions towards BIM implementation-a Chongqing case study. Engineering, Construction and Architectural Management, 26(07), 1455–75.

Moussavi Nadoushani, Z S, Akbarnezhad, A and Rey, D (2018) Optimization of concrete placing operation based on competing carbon footprint, cost and production rate objectives. Engineering, Construction and Architectural Management, 25(07), 938–57.

Nasirzadeh, F, Carmichael, D G, Jarban, M J and Rostamnezhad, M (2019) Hybrid fuzzy-system dynamics approach for quantification of the impacts of construction claims. Engineering, Construction and Architectural Management, 26(07), 1261–76.

  • Type: Journal Article
  • Keywords: Construction; Case study; Project management; Simulation; Fuzzy logic; Construction projects; Claim; Novel method; Modelling; System dynamics;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-08-2017-0150
  • Abstract:
    The purpose of this paper is to present a novel hybrid fuzzy-system dynamics (SD) approach for the quantification of the impacts of construction claims. Design/methodology/approach The most significant claims affecting a project are identified. The various factors affecting the impacts of claims are identified. Then, the qualitative model of construction claims is constructed considering the complex inter-related structure of the influencing factors. The mathematical relationships among the variables are determined and the quantitative model of claims is built. Finally, fuzzy logic is integrated into the proposed model to take into account the existing uncertainties. Findings To show the capabilities of the proposed simulation model, it is implemented on a real project and the impacts of the identified claims on the project cost are quantified. It is shown that the external interactions among different claims can intensify their overall impact. Research limitations/implications Identification of interactions among various influencing factors is not an easy job when there are a large number of claims in a project. Well-qualified experts and the existence of historical data may limit the application of the proposed method in projects with limited data and/or qualified experts. Practical implications The proposed hybrid fuzzy-SD approach provides a practical and flexible tool that can be used in various construction projects to assess the cost impacts of construction claims taking into account their complex interactions. Using the proposed method, the accuracy of achieved results is increased compared to conventional methods that are used for the quantification of claims since the complex inter-related structure of influencing factors and the claims interactions are taken into account. One of the capabilities of the proposed hybrid fuzzy-SD method is its flexibility. Depending on the type of contract and the parties involved in the project, the proposed hybrid fuzzy-SD method can be used during different stages of the project life cycle to model and quantify claims. Originality/value The proposed approach may present a flexible and robust method for quantification of construction claims. The novelty aspects of this paper are as follows: the extensively complex structure of claims arising from both internal and external interactions is accounted for using SD. The existing uncertainties affecting the impacts of a claim are taken into account.

Oechler, E, Molenaar, K R, Hallowell, M and Scott, S (2018) State-of-practice for risk-based quality assurance in state departments of transportation. Engineering, Construction and Architectural Management, 25(07), 958–70.

Olatunji, O A (2019) Promoting student commitment to BIM in construction education. Engineering, Construction and Architectural Management, 26(07), 1240–60.

Pablo, Z and London, K A (2020) Stable relationality and dynamic innovation: two models of collaboration in SME-driven offsite manufacturing supply chains in housing construction. Engineering, Construction and Architectural Management, 27(07), 1553–77.

Rostamnezhad, M, Nasirzadeh, F, Khanzadi, M, Jarban, M J and Ghayoumian, M (2020) Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(07), 1595–618.

Salama, T and Moselhi, O (2019) Multi-objective optimization for repetitive scheduling under uncertainty. Engineering, Construction and Architectural Management, 26(07), 1294–320.

Sun, H, Wang, Y and Meng, J (2019) A trading and pricing method of expansion options for BOT freeway projects in China. Engineering, Construction and Architectural Management, 26(07), 1406–23.

Tayeh, B A, Hallaq, K A, Zahoor, H and Al Faqawi, A H (2019) Techniques and benefits of implementing the last planner system in the Gaza Strip construction industry. Engineering, Construction and Architectural Management, 26(07), 1424–36.

Uusitalo, P, Seppänen, O, Peltokorpi, A and Olivieri, H (2019) Solving design management problems using lean design management: the role of trust. Engineering, Construction and Architectural Management, 26(07), 1387–405.

Wang, G, Xia, C and Cao, D (2020) State and determinants of inter-regional market entry practices in the Chinese construction industry: evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(07), 1461–77.

Wang, Y and Jin, X (2019) Determine the optimal capital structure of BOT projects using interval numbers with Tianjin Binhai New District Metro Z4 line in China as an example. Engineering, Construction and Architectural Management, 26(07), 1348–66.

Xue, J, Shen, G Q, Yang, R J, Zafar, I, Ekanayake, E, Lin, X and Darko, A (2020) Influence of formal and informal stakeholder relationship on megaproject performance: a case of China. Engineering, Construction and Architectural Management, 27(07), 1505–31.

Yap, J B H, Leong, W J and Skitmore, M (2020) Capitalising teamwork for enhancing project delivery and management in construction: empirical study in Malaysia. Engineering, Construction and Architectural Management, 27(07), 1479–503.

Yu, J, Ma, G and Cai, S (2019) Disparities in the provision of aging-friendly communities in old and new urban neighborhoods in China. Engineering, Construction and Architectural Management, 26(07), 1277–93.

Yuan, F, Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(07), 1533–52.

Zhang, J, Xie, H and Li, H (2019) Improvement of students problem-solving skills through project execution planning in civil engineering and construction management education. Engineering, Construction and Architectural Management, 26(07), 1437–54.