ARCOM

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A Kassem, M, Khoiry, M A and Hamzah, N (2020) Assessment of the effect of external risk factors on the success of an oil and gas construction project. Engineering, Construction and Architectural Management, 27(09), 2767–93.

Adabre, M A and Chan, A P (2020) Towards a sustainability assessment model for affordable housing projects: the perspective of professionals in Ghana. Engineering, Construction and Architectural Management, 27(09), 2523–51.

Ahmadu, H A, Ibrahim, A D, Ibrahim, Y M and Adogbo, K J (2020) Incorporating aleatory and epistemic uncertainties in the modelling of construction duration. Engineering, Construction and Architectural Management, 27(09), 2199–219.

Akanmu, A, Olayiwola, J and Olatunji, O A (2020) Musculoskeletal disorders within the carpentry trade: analysis of timber flooring subtasks. Engineering, Construction and Architectural Management, 27(09), 2577–90.

Almatroushi, H, Hariga, M, As'ad, R and Al-Bar, A (2020) The multi resource leveling and materials procurement problem: an integrated approach. Engineering, Construction and Architectural Management, 27(09), 2135–61.

Amos, D, Au-Yong, C P and Musa, Z N (2020) Developing key performance indicators for hospital facilities management services: a developing country perspective. Engineering, Construction and Architectural Management, 27(09), 2715–35.

Chiu, W Y B and Lai, J H (2020) Building information modelling for building services engineering: benefits, barriers and conducive measures. Engineering, Construction and Architectural Management, 27(09), 2221–52.

Edwards, D J, Rillie, I, Chileshe, N, Lai, J, Hosseini, M R and Thwala, W D (2020) A field survey of hand–arm vibration exposure in the UK utilities sector. Engineering, Construction and Architectural Management, 27(09), 2179–98.

Farajmandi, M, Ali, M, Hermann, R and AbouRizk, S (2020) A decision support tool for planning module installation in industrial construction. Engineering, Construction and Architectural Management, 27(09), 2615–41.

Hsu, P, Aurisicchio, M, Angeloudis, P and Whyte, J (2020) Understanding and visualizing schedule deviations in construction projects using fault tree analysis. Engineering, Construction and Architectural Management, 27(09), 2501–22.

Karamoozian, A and Wu, D (2020) A hybrid risk prioritization approach in construction projects using failure mode and effective analysis. Engineering, Construction and Architectural Management, 27(09), 2661–86.

Liu, H, Song, J and Wang, G (2020) Development of a tool for measuring building information modeling (BIM) user satisfaction – method selection, scale development and case study. Engineering, Construction and Architectural Management, 27(09), 2409–27.

Liu, J, Cui, Z, Feng, Y, Perera, S and Han, J (2020) Impact of culture differences on performance of international construction joint ventures: the moderating role of conflict management. Engineering, Construction and Architectural Management, 27(09), 2353–77.

Luo, L, Zhang, L and He, Q (2020) Linking project complexity to project success: a hybrid SEM–FCM method. Engineering, Construction and Architectural Management, 27(09), 2591–614.

Ma, L and Fu, H (2020) Exploring the influence of project complexity on the mega construction project success: a qualitative comparative analysis (QCA) method. Engineering, Construction and Architectural Management, 27(09), 2429–49.

Maqsoom, A, Hamad, M, Ashraf, H, Thaheem, M J and Umer, M (2020) Managerial control mechanisms and their influence on project performance: an investigation of the moderating role of complexity risk. Engineering, Construction and Architectural Management, 27(09), 2451–75.

Moon, S, Ham, N, Kim, S, Hou, L, Kim, J and Kim, J (2020) Fourth industrialization-oriented offsite construction: case study of an application to an irregular commercial building. Engineering, Construction and Architectural Management, 27(09), 2271–86.

Nasirzadeh, F, Kabir, H D, Akbari, M, Khosravi, A, Nahavandi, S and Carmichael, D G (2020) ANN-based prediction intervals to forecast labour productivity. Engineering, Construction and Architectural Management, 27(09), 2335–51.

• Type: Journal Article
• Keywords: Labour productivity; Prediction interval; Uncertainties; Neural networks;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-08-2019-0406
• Abstract:
  This study aims to propose the adoption of artificial neural network (ANN)-based prediction intervals (PIs) to give more reliable prediction of labour productivity using historical data. Using the proposed PI method, various sources of uncertainty affecting predictions can be accounted for, and a PI is proposed instead of a less reliable single-point estimate. The proposed PI consists of a lower and upper bound in which the realization of the predicted variable, namely, labour productivity, is anticipated to fall with a defined probability and represented in terms of a confidence level (CL). The proposed PI method is implemented on a case study project to predict labour productivity. The quality of the generated PIs for the labour productivity is investigated at three confidence levels. The results show that the proposed method can predict the value of labour productivity efficiently. This study is the first attempt in construction management to undertake a shift from deterministic point predictions to interval forecasts to improve the reliability of predictions. The proposed PI method will help project managers obtain accurate and credible predictions of labour productivity using historical data. With a better understanding of future outcomes, project managers can adopt appropriate improvement strategies to enhance labour productivity before commencing a project. Point predictions provided by traditional deterministic ANN-based forecasting methodologies may be unreliable due to the different sources of uncertainty affecting predictions. The current study proposes ANN-based PIs as an alternative and robust tool to give a more reliable prediction of labour productivity using historical data. Using the proposed method, various sources of uncertainty affecting the predictions are accounted for, and a PI is proposed instead of a less reliable single point estimate.

Sezegen, A and Edis, E (2020) Product innovation types: a discussion considering building facade products. Engineering, Construction and Architectural Management, 27(09), 2379–408.

Sinoh, S S, Othman, F and Ibrahim, Z (2020) Critical success factors for BIM implementation: a Malaysian case study. Engineering, Construction and Architectural Management, 27(09), 2737–65.

Tran, D H (2020) Optimizing time–cost in generalized construction projects using multiple-objective social group optimization and multi-criteria decision-making methods. Engineering, Construction and Architectural Management, 27(09), 2287–313.

Tran, D Q, Harper, C M, Smadi, A M and Mohamed, M (2020) Staffing needs and utilization for alternative contracting methods in highway design and construction. Engineering, Construction and Architectural Management, 27(09), 2163–78.

Viswanathan, S K and Jha, K N (2020) Risk mitigation modelling of international construction projects executed by Indian firms: a structural equation modelling approach. Engineering, Construction and Architectural Management, 27(09), 2687–713.

Wang, P, Wu, P, Wang, X, Chen, X and Zhou, T (2020) Developing optimal scaffolding erection through the integration of lean and work posture analysis. Engineering, Construction and Architectural Management, 27(09), 2109–33.

Wu, J, Liu, H J, Sing, M C, Humphrey, R and Zhao, J (2020) Public–private partnerships: implications from policy changes for practice in managing risks. Engineering, Construction and Architectural Management, 27(09), 2253–69.

Wuni, I Y and Shen, G Q (2020) Critical success factors for management of the early stages of prefabricated prefinished volumetric construction project life cycle. Engineering, Construction and Architectural Management, 27(09), 2315–33.

Zhang, H and Yu, L (2020) Dynamic transportation planning for prefabricated component supply chain. Engineering, Construction and Architectural Management, 27(09), 2553–76.

Zhang, H, Yu, L and Zhang, W (2020) Dynamic performance incentive model with supervision mechanism for PPP projects. Engineering, Construction and Architectural Management, 27(09), 2643–59.

Zhang, S B, Chen, J and Fu, Y (2020) Contract complexity and trust in construction project subcontracting. Engineering, Construction and Architectural Management, 27(09), 2477–500.