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Babaei, M, Rashidi-baqhi, A and Rashidi, M (2022) Estimating Project Cost under Uncertainty Using Universal Generating Function Method. Journal of Construction Engineering and Management, 148(02).

Bai, S, Li, M, Lu, Q, Tian, H and Qin, L (2022) Global Time Optimization Method for Dredging Construction Cycles of Trailing Suction Hopper Dredger Based on Grey System Model. Journal of Construction Engineering and Management, 148(02).

Che Ibrahim, C K I, Belayutham, S, Mohammad, M Z and Ismail, S (2022) Development of a Conceptual Designer’s Knowledge, Skills, and Experience Index for Prevention through Design Practice in Construction. Journal of Construction Engineering and Management, 148(02).

Ghafoori, M and Abdallah, M (2022) Simulation-Based Optimization Model to Minimize Equivalent Annual Cost of Existing Buildings. Journal of Construction Engineering and Management, 148(02).

Jia, F, Xiang, P and Chen, D (2022) Prioritizing the Operation and Maintenance Complexity of Mega Transportation Projects Based on Systems Thinking. Journal of Construction Engineering and Management, 148(02).

Lerche, J, Enevoldsen, P and Seppänen, O (2022) Application of Takt and Kanban to Modular Wind Turbine Construction. Journal of Construction Engineering and Management, 148(02).

  • Type: Journal Article
  • Keywords: COVID-19; Design science; Modular construction; Management; Safety; Disruptions;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002245
  • Abstract:
    This study focuses on the applicability of Takt planning in combination with Kanban, plan-do-check-act (PDCA)/Deming cycle, and visual management to modular offshore wind turbine construction. The modular offshore wind industry, and in particular an offshore wind project in the British section of the North Sea, faced issues with delivery times, productivity, and uncertainty management (safety and/or pandemic disruptions). The objective of our research was to develop and test a conceptual model that responds to these challenges, which further will increase the likelihood of reducing delays in offshore energy operations. The initial literature review made it evident that few, if any, have covered Takt implementation in modular construction, and certainly not in offshore energy operations. A design science approach was chosen, and in collaboration with the case organization, the model was constructed and evaluated in a longitudinal field study. The application of mixed methods ensured data input originating from practical experience provided by field experts both within and outside the case-study organizations, theoretical knowledge from academics, and state-of-the-art literature allowed the development of a model that embeds Kanban, Takt, and PDCA to the context of modular offshore wind turbine tower construction. After its implementation, a 10% increase in labor productivity was recorded. Furthermore, through the stable productivity measures in a time of crisis, the model revealed its robustness during COVID-19. The contributions to the body of knowledge are the developed model combining Takt, Kanban, and PDCA, and the visual management interface. The model was implemented together with the visual management interface to achieve a flexible planning framework that can respond to challenges with delivery times and productivity and withstand major disruptions, such as the COVID-19 pandemic.

Li, P, Wang, Q, Guo, Z, Mei, T, Li, Q, Qiao, S and Zuo, W (2022) Identifying Falling-from-Height Hazards in Building Information Models: A Voxelization-Based Method. Journal of Construction Engineering and Management, 148(02).

Li, X, Lu, W, Xue, F, Wu, L, Zhao, R, Lou, J and Xu, J (2022) Blockchain-Enabled IoT-BIM Platform for Supply Chain Management in Modular Construction. Journal of Construction Engineering and Management, 148(02).

Liu, K, Su, Y, Pollack, J, Liang, H and Zhang, S (2022) Explaining the Formation Mechanism of Intrateam Knowledge Exchange Network in Offsite Construction Projects: A Social Cognitive Perspective. Journal of Construction Engineering and Management, 148(02).

Park, J and Cho, Y K (2022) Point Cloud Information Modeling: Deep Learning–Based Automated Information Modeling Framework for Point Cloud Data. Journal of Construction Engineering and Management, 148(02).

Radzi, A R, Rahman, R A, Doh, S I and Esa, M (2022) Construction Readiness for Highway Projects: Key Decision Criteria. Journal of Construction Engineering and Management, 148(02).

Sanboskani, H and Srour, I (2022) Using Advanced Statistical Methods to Identify the Drivers of Knowledge Sharing Intention among Construction Workers. Journal of Construction Engineering and Management, 148(02).

Shehadeh, A, Alshboul, O and Hamedat, O (2022) Risk Assessment Model for Optimal Gain–Pain Share Ratio in Target Cost Contract for Construction Projects. Journal of Construction Engineering and Management, 148(02).

Yoon, J H and Pishdad-Bozorgi, P (2022) State-of-the-Art Review of Blockchain-Enabled Construction Supply Chain. Journal of Construction Engineering and Management, 148(02).

Zhang, C, Chen, K, Yang, J, Fu, J, Wang, S and Xie, Y (2022) Reuse of Discharged Soil from Slurry Shield Tunnel Construction as Synchronous Grouting Material. Journal of Construction Engineering and Management, 148(02).

Zhang, Y, Yuan, J, Zhao, J, Cheng, L and Li, Q (2022) Hybrid Dynamic Pricing Model for Transport PPP Projects during the Residual Concession Period. Journal of Construction Engineering and Management, 148(02).