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State-of-the-Art Reviews
Jun 17, 2022

Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review

Publication: Journal of Construction Engineering and Management
Volume 148, Issue 9

Abstract

Prefabrication and modularization have attracted much attention in building construction, and they are becoming increasingly important for the betterment of society. To fully benefit from prefabricated and modular construction, the application of artificial intelligence and robotics (AIR) is widely recognized as essential, but it has not yet been systematically studied. This paper aims to explore future research directions on AIR for prefabricated and modular construction through a systematic literature review drawing on a concept–methodology–value philosophical framework. The analysis involves 97 published journal articles carefully identified through the Web of Science and Scopus databases. The review specifically addresses four research questions aligned with the framework to synthesize previous research activities, and the paper proposes five directions that depict future research and practices: integrated AIR for large-scale modularization, multi-dimensional project management, intelligent postconstruction management, interdisciplinarity and interoperability, and moving beyond technical solutions. The findings and the philosophical framework should benefit succeeding exploration and practice in the field.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The work described in this paper was supported by the Research Grants Council Research Impact Fund of the Hong Kong Special Administrative Region (HKSAR) (HKU R7027-18F), the Strategic Public Policy Research Funding Scheme from the Policy Innovation and Coordination Office of the Government of the HKSAR (S2019.A8.013.19S), and the 43rd Round University Research Committee PDF/RAP Scheme of The University of Hong Kong.

References

Ahn, J., S. Han, and M. Al-Hussein. 2020. “Improvement of transportation cost estimation for prefabricated construction using geo-fence-based large-scale GPS data feature extraction and support vector regression.” Adv. Eng. Inf. 43 (Jan): 101012. https://doi.org/10.1016/j.aei.2019.101012.
Alpaydin, E. 2020. Introduction to machine learning. Cambridge, MA: MIT Press.
Altaf, M. S., A. Bouferguene, H. Liu, M. Al-Hussein, and H. Yu. 2018. “Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID.” Autom. Constr. 85 (Jan): 369–383. https://doi.org/10.1016/j.autcon.2017.09.009.
Azimi, R., S. Lee, and S. M. AbouRizk. 2012. “Applying basic control theory principles to project control: Case study of off-site construction shops.” J. Comput. Civ. Eng. 26 (6): 681–690. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000190.
Baghdadi, A., M. Heristchian, and H. Kloft. 2020. “Design of prefabricated wall-floor building systems using meta-heuristic optimization algorithms.” Autom. Constr. 114 (Jun): 103156. https://doi.org/10.1016/j.autcon.2020.103156.
Balaguer, C., et al. 2002. “FutureHome: An integrated construction automation approach.” IEEE Rob. Autom. Mag. 9 (1): 55–66. https://doi.org/10.1109/100.993155.
Benjaoran, V., and N. Dawood. 2006. “Intelligence approach to production planning system for bespoke precast concrete products.” Autom. Constr. 15 (6): 737–745. https://doi.org/10.1016/j.autcon.2005.09.007.
Bock, T. 2007. “Construction robotics.” Auton. Rob. 22 (3): 201–209. https://doi.org/10.1007/s10514-006-9008-5.
Bock, T. 2015. “The future of construction automation: Technological disruption and the upcoming ubiquity of robotics.” Autom. Constr. 59 (Nov): 113–121. https://doi.org/10.1016/j.autcon.2015.07.022.
Branson, T., A. Eishennawy, W. Swart, and S. Chandra. 1990. “Automation technologies for the industrialized housing manufacturing industry.” Comput. Ind. Eng. 19 (1–4): 587–592. https://doi.org/10.1016/0360-8352(90)90186-P.
Bridgewater, C. 1993. “Principles of design for automation applied to construction tasks.” Autom. Constr. 2 (1): 57–64. https://doi.org/10.1016/0926-5805(93)90035-V.
Bridgewater, C., and B. L. Atkin. 1994. “Applications of artificial intelligence techniques to component-based modular building design.” J. Comput. Civ. Eng. 8 (4): 469–488. https://doi.org/10.1061/(ASCE)0887-3801(1994)8:4(469).
Brownjohn, J. M. 2007. “Structural health monitoring of civil infrastructure.” Philos. Trans. R. Soc. London, Ser. A 365 (1851): 589–622. https://doi.org/10.1098/rsta.2006.1925.
Bryman, A. 2016. Social research methods. 4th ed. Oxford, UK: Oxford University Press.
Ceylan, M., M. Arslan, R. Ceylan, M. Kaltakci, and Y. Ozbay. 2010. “A new application area of ANN and ANFIS: Determination of earthquake load reduction factor of prefabricated industrial buildings.” Civ. Eng. Environ. Syst. 27 (1): 53–69. https://doi.org/10.1080/10286600802506726.
Chen, C., D. T. Huy, L. K. Tiong, I.-M. Chen, and Y. Cai. 2019. “Optimal facility layout planning for AGV-based modular prefabricated manufacturing system.” Autom. Constr. 98 (Feb): 310–321. https://doi.org/10.1016/j.autcon.2018.08.008.
Chen, Y., K. Cai, T. Sheng, and H. Wu. 2020. “Optimum design for unbonded posttensioned precast concrete frames with damping.” Struct. Des. Tall Special Build. 29 (14): e1780. https://doi.org/10.1002/tal.1780.
Cheung, S.-O., T. K.-L. Tong, and C.-M. Tam. 2002. “Site pre-cast yard layout arrangement through genetic algorithms.” Autom. Constr. 11 (1): 35–46. https://doi.org/10.1016/S0926-5805(01)00044-9.
Chu, W., S. Han, X. Luo, and Z. Zhu. 2020. “Monocular vision-based framework for biomechanical analysis or ergonomic posture assessment in modular construction.” J. Comput. Civ. Eng. 34 (4): 04020018. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000897.
Darko, A., A. P. Chan, M. A. Adabre, D. J. Edwards, M. R. Hosseini, and E. E. Ameyaw. 2020. “Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities.” Autom. Constr. 112 (Apr): 103081. https://doi.org/10.1016/j.autcon.2020.103081.
Delgado, J. M. D., L. Oyedele, A. Ajayi, L. Akanbi, O. Akinade, M. Bilal, and H. Owolabi. 2019. “Robotics and automated systems in construction: Understanding industry-specific challenges for adoption.” J. Build. Eng. 26 (Nov): 100868. https://doi.org/10.1016/j.jobe.2019.100868.
Diez, R., V. M. Padrón, M. Abderrahim, and C. Balaguer. 2007. “AUTMOD3: The integration of design and planning tools for automatic modular construction.” Int. J. Adv. Rob. Syst. 4 (4): 45. https://doi.org/10.5772/5671.
European Parliament. 2019. European Parliament resolution of 12 February 2019 on a comprehensive European industrial policy on artificial intelligence and robotics. 2018/2088(INI). Strasbourg, France: European Parliament.
Eversmann, P., F. Gramazio, and M. Kohler. 2017. “Robotic prefabrication of timber structures: Towards automated large-scale spatial assembly.” Constr. Rob. 1 (1): 49–60. https://doi.org/10.1007/s41693-017-0006-2.
Fang, Y., and S. T. Ng. 2019. “Genetic algorithm for determining the construction logistics of precast components.” Eng. Constr. Archit. Manage. 26 (10): 2289–2306. https://doi.org/10.1108/ECAM-09-2018-0386.
Feigenbaum, E. A., and J. Feldman. 1963. Computers and thought. New York: McGraw-Hill.
Ferdous, W., Y. Bai, T. D. Ngo, A. Manalo, and P. Mendis. 2019. “New advancements, challenges and opportunities of multi-storey modular buildings—A state-of-the-art review.” Eng. Struct. 183 (Mar): 883–893. https://doi.org/10.1016/j.engstruct.2019.01.061.
Fogel, D. B. 2000. “What is evolutionary computation?” IEEE Spectr. 37 (2): 26–32. https://doi.org/10.1109/6.819926.
Garcia, L. C., and B. Kamsu-Foguem. 2019. “BIM-oriented data mining for thermal performance of prefabricated buildings.” Ecol. Inf. 51 (May): 61–72. https://doi.org/10.1016/j.ecoinf.2019.02.012.
Garg, A., and V. R. Kamat. 2014. “Virtual prototyping for robotic fabrication of rebar cages in manufactured concrete construction.” J. Archit. Eng. 20 (1): 06013002. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000134.
Gibb, A. G. 1999. Off-site fabrication: Prefabrication, pre-assembly and modularisation. New York: Wiley.
Golabchi, A., X. Guo, M. Liu, S. Han, S. Lee, and S. AbouRizk. 2018. “An integrated ergonomics framework for evaluation and design of construction operations.” Autom. Constr. 95 (Nov): 72–85. https://doi.org/10.1016/j.autcon.2018.08.003.
Hendrickson, C., C. Zozaya-Gorostiza, D. Rehak, E. Baracco-Miller, and P. Lim. 1987. “Expert system for construction planning.” J. Comput. Civ. Eng. 1 (4): 253–269. https://doi.org/10.1061/(ASCE)0887-3801(1987)1:4(253).
Isaac, S., T. Bock, and Y. Stoliar. 2016. “A methodology for the optimal modularization of building design.” Autom. Constr. 65 (May): 116–124. https://doi.org/10.1016/j.autcon.2015.12.017.
ISO. 2012. Robots and robotic devices—Vocabulary. ISO 8373:2012(en). Geneva: ISO.
Jackson, P. 1986. Introduction to expert systems. Boston: Addison-Wesley Longman.
Ji, W., S. M. AbouRizk, O. R. Zaïane, and Y. Li. 2018. “Complexity analysis approach for prefabricated construction products using uncertain data clustering.” J. Constr. Eng. Manage. 144 (8): 04018063. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001520.
Jiang, W., L. Wu, and Y. Cao. 2020. “Multiple precast component orders acceptance and scheduling.” Math. Probl. Eng. 2020 (Feb): 3849561. https://doi.org/10.1155/2020/3849561.
Kamali, M., and K. Hewage. 2016. “Life cycle performance of modular buildings: A critical review.” Renewable Sustainable Energy Rev. 62 (Sep): 1171–1183. https://doi.org/10.1016/j.rser.2016.05.031.
Kangari, R., and D. Halpin. 1990. “Identification of factors influencing implementation of construction robotics.” Construct. Manage. Econ. 8 (1): 89–104. https://doi.org/10.1080/01446199000000008.
Kasperzyk, C., M.-K. Kim, and I. Brilakis. 2017. “Automated re-prefabrication system for buildings using robotics.” Autom. Constr. 83 (Nov): 184–195. https://doi.org/10.1016/j.autcon.2017.08.002.
King, N., M. Bechthold, A. Kane, and P. Michalatos. 2014. “Robotic tile placement: Tools, techniques and feasibility.” Autom. Constr. 39 (Apr): 161–166. https://doi.org/10.1016/j.autcon.2013.08.014.
Kitchenham, B. 2004. Procedures for performing systematic reviews. Keele, UK: Keele Univ.
Kontovourkis, O., and G. Tryfonos. 2020. “Robotic 3D clay printing of prefabricated non-conventional wall components based on a parametric-integrated design.” Autom. Constr. 110 (Feb): 103005. https://doi.org/10.1016/j.autcon.2019.103005.
Kuźniar, K., and Z. Waszczyszyn. 2003. “Neural simulation of dynamic response of prefabricated buildings subjected to paraseismic excitations.” Comput. Struct. 81 (24–25): 2353–2360. https://doi.org/10.1016/S0045-7949(03)00310-9.
Lee, J., and H. Hyun. 2019. “Multiple modular building construction project scheduling using genetic algorithms.” J. Constr. Eng. Manage. 145 (1): 04018116. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001585.
Li, D., J. Liu, L. Feng, Y. Zhou, H. Qi, and Y. F. Chen. 2021. “Automatic modeling of prefabricated components with laser-scanned data for virtual trial assembly.” Comput.-Aided Civ. Infrastruct. Eng. 36 (4): 453–471. https://doi.org/10.1111/mice.12627.
Li, H., X. Luo, and M. Skitmore. 2020a. “Intelligent hoisting with car-like mobile robots.” J. Constr. Eng. Manage. 146 (12): 04020136. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001931.
Li, J.q., Y.-q. Han, P.-y. Duan, Y.-y. Han, B. Niu, C.-d. Li, Z.-x. Zheng, and Y.-p. Liu. 2020b. “Meta-heuristic algorithm for solving vehicle routing problems with time windows and synchronized visit constraints in prefabricated systems.” J. Cleaner Prod. 250 (Mar): 119464. https://doi.org/10.1016/j.jclepro.2019.119464.
Liao, Y., F. Deschamps, E. Loures, and L. F. Ramos. 2017. “Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal.” Int. J. Prod. Res. 55 (12): 3609–3629. https://doi.org/10.1080/00207543.2017.1308576.
Linner, T., and T. Bock. 2012. “Evolution of large-scale industrialisation and service innovation in Japanese prefabrication industry.” Constr. Innovation 12 (2): 156–178. https://doi.org/10.1108/14714171211215921.
Liu, H., Y. He, Q. Hu, J. Guo, and L. Luo. 2020. “Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization.” PLoS One 15 (7): e0235980. https://doi.org/10.1371/journal.pone.0235980.
Liu, H., C. Sydora, M. S. Altaf, S. Han, and M. Al-Hussein. 2019. “Towards sustainable construction: BIM-enabled design and planning of roof sheathing installation for prefabricated buildings.” J. Cleaner Prod. 235 (Oct): 1189–1201. https://doi.org/10.1016/j.jclepro.2019.07.055.
Martinez, P., M. Al-Hussein, and R. Ahmad. 2019. “A scientometric analysis and critical review of computer vision applications for construction.” Autom. Constr. 107 (Nov): 102947. https://doi.org/10.1016/j.autcon.2019.102947.
Martinez, P., M. Al-Hussein, and R. Ahmad. 2020. “Intelligent vision-based online inspection system of screw-fastening operations in light-gauge steel frame manufacturing.” Int. J. Adv. Manuf. Technol. 109 (3): 645–657. https://doi.org/10.1007/s00170-020-05695-y.
Martinez, S., A. Jardon, J. M. Navarro, and P. Gonzalez. 2008. “Building industrialization: Robotized assembly of modular products.” Assembly Autom. 28 (2): 134–142. https://doi.org/10.1108/01445150810863716.
Martínez, S., A. Jardón, J. G. Victores, and C. Balaguer. 2013. “Flexible field factory for construction industry.” Assembly Autom. 33 (2): 175–183. https://doi.org/10.1108/01445151311306708.
Maskuriy, R., A. Selamat, K. N. Ali, P. Maresova, and O. Krejca. 2019. “Industry 4.0 for the construction industry—How ready is the industry?” Appl. Sci. 9 (14): 2819. https://doi.org/10.3390/app9142819.
MBI (Modular Building Institute). 2018. “The modular solution to the construction labor shortage.” Modular Advantage Magazine., February, 2018.
Moher, D., L. Shamseer, M. Clarke, D. Ghersi, A. Liberati, M. Petticrew, P. Shekelle, L. A. Stewart, and PRISMA-P Group. 2015. “Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.” Syst. Rev. 4 (1): 1–9. https://doi.org/10.1186/2046-4053-4-1.
Moon, S., N. Ham, S. Kim, L. Hou, J.-H. Kim, and J.-J. Kim. 2020. “Fourth industrialization-oriented offsite construction: Case study of an application to an irregular commercial building.” Eng. Constr. Archit. Manage. 27 (9): 2271–2286. https://doi.org/10.1108/ECAM-07-2018-0312.
Murphy, R. R. 2019. Introduction to AI robotics. Cambridge, MA: MIT Press.
Newman, C., D. Edwards, I. Martek, J. Lai, W. D. Thwala, and I. Rillie. 2020. “Industry 4.0 deployment in the construction industry: A bibliometric literature review and UK-based case study.” Smart Sustainable Built Environ. 10 (4): 557–580. https://doi.org/10.1108/SASBE-02-2020-0016.
Pan, M., T. Linner, W. Pan, H. Cheng, and T. Bock. 2020a. “Structuring the context for construction robot development through integrated scenario approach.” Autom. Constr. 114 (Jun): 103174. https://doi.org/10.1016/j.autcon.2020.103174.
Pan, M., and W. Pan. 2019. “Determinants of adoption of robotics in precast concrete production for buildings.” J. Manage. Eng. 35 (5): 05019007. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000706.
Pan, M., and W. Pan. 2020. “Knowledge, attitude and practice towards zero carbon buildings: Hong Kong case.” J. Cleaner Prod. 274 (Nov): 122819. https://doi.org/10.1016/j.jclepro.2020.122819.
Pan, W., and C. K. Hon. 2020. “Briefing: Modular integrated construction for high-rise buildings.” Proc. Inst. Civ. Eng. Munic. Eng. 173 (2): 64–68. https://doi.org/10.1680/jmuen.18.00028.
Pan, W., K. Iturralde, T. Bock, R. G. Martinez, O. M. Juez, and P. Finocchiaro. 2020b. “A conceptual design of an integrated façade system to reduce embodied energy in residential buildings.” Sustainability 12 (14): 5730. https://doi.org/10.3390/su12145730.
Pan, W., and Y. Ning. 2014. “Dialectics of sustainable building: Evidence from empirical studies 1987–2013.” Build. Environ. 82 (Dec): 666–674. https://doi.org/10.1016/j.buildenv.2014.10.008.
Pan, W., and Y. Ning. 2015. “The dialectics of sustainable building.” Habitat Int. 48 (Aug): 55–64. https://doi.org/10.1016/j.habitatint.2015.03.004.
Pastor, J. M., C. Balaguer, F. J. Rodriguez, and R. Diez. 2001. “Computer-aided architectural design oriented to robotized facade panels manufacturing.” Comput.-Aided Civ. Infrastruct. Eng. 16 (3): 216–227. https://doi.org/10.1111/0885-9507.00227.
Peñin, L. F., C. Balaguer, J. M. Pastor, F. J. Rodriguez, A. Barrientos, and R. Aracil. 1998. “Robotized spraying of prefabricated panels.” IEEE Rob. Autom. Mag. 5 (3): 18–29. https://doi.org/10.1109/100.728220.
Perkowski, J. C. 1988. “Technical trends in the E&C business: The next 10 years.” J. Constr. Eng. Manage. 114 (4): 565–576. https://doi.org/10.1061/(ASCE)0733-9364(1988)114:4(565).
Petrovic, I. K. 1994. “Central or distributed organization of design systems?” Autom. Constr. 3 (2–3): 203–217. https://doi.org/10.1016/0926-5805(94)90020-5.
Rajan, K., and A. Saffiotti. 2017. “Towards a science of integrated AI and robotics.” Artif. Intell. 247 (Jun): 1–9. https://doi.org/10.1016/j.artint.2017.03.003.
Rashid, K. M., and J. Louis. 2020. “Activity identification in modular construction using audio signals and machine learning.” Autom. Constr. 119 (Nov): 103361. https://doi.org/10.1016/j.autcon.2020.103361.
Retik, A., and A. Warszawski. 1994. “Automated design of prefabricated building.” Build. Environ. 29 (4): 421–436. https://doi.org/10.1016/0360-1323(94)90002-7.
Said, H. M., and P. Kandimalla. 2018. “Performance measurement of building sheet-metal ductwork prefabrication under batch production settings.” J. Constr. Eng. Manage. 144 (2): 04017107. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001423.
Samarasinghe, T., T. Gunawardena, P. Mendis, M. Sofi, and L. Aye. 2019. “Dependency structure matrix and hierarchical clustering based algorithm for optimum module identification in MEP systems.” Autom. Constr. 104 (Aug): 153–178. https://doi.org/10.1016/j.autcon.2019.03.021.
Shaked, O., and A. Warszawski. 1992. “CONSCHED: Expert system for scheduling of modular construction projects.” J. Constr. Eng. Manage. 118 (3): 488–506. https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(488).
Tan, Y., S. Li, and Q. Wang. 2020. “Automated geometric quality inspection of prefabricated housing units using BIM and LiDAR.” Rem. Sens. 12 (15): 2492. https://doi.org/10.3390/rs12152492.
Tang, H., Y. Xie, T. Zhao, and S. Xue. 2020. “Identification of grout sleeve joint defect in prefabricated structures using deep learning.” Front. Mater. 7 (Oct): 298. https://doi.org/10.3389/fmats.2020.00298.
Tranfield, D., D. Denyer, and P. Smart. 2003. “Towards a methodology for developing evidence-informed management knowledge by means of systematic review.” Br. J. Manage. 14 (3): 207–222. https://doi.org/10.1111/1467-8551.00375.
Vähä, P., T. Heikkilä, P. Kilpeläinen, M. Järviluoma, and E. Gambao. 2013. “Extending automation of building construction—Survey on potential sensor technologies and robotic applications.” Autom. Constr. 36 (Dec): 168–178. https://doi.org/10.1016/j.autcon.2013.08.002.
Valinejadshoubi, M., A. Bagchi, and O. Moselhi. 2019. “Development of a BIM-based data management system for structural health monitoring with application to modular buildings: Case study.” J. Comput. Civ. Eng. 33 (3): 05019003. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000826.
Vukomanović, M., and M. Kararić. 2009. “Model for cost prediction of prefabricated housing.” Technical gazette 16 (3): 39–43.
Wagner, H. J., M. Alvarez, O. Kyjanek, Z. Bhiri, M. Buck, and A. Menges. 2020. “Flexible and transportable robotic timber construction platform—TIM.” Autom. Constr. 120 (Dec): 103400. https://doi.org/10.1016/j.autcon.2020.103400.
Wang, M., C. C. Wang, S. Sepasgozar, and S. Zlatanova. 2020. “A systematic review of digital technology adoption in off-site construction: Current status and future direction towards Industry 4.0.” Buildings 10 (11): 204. https://doi.org/10.3390/buildings10110204.
Wang, Y., Z. Yuan, and C. Sun. 2018. “Research on assembly sequence planning and optimization of precast concrete buildings.” J. Civ. Eng. Manage. 24 (2): 106–115. https://doi.org/10.3846/jcem.2018.458.
Wang, Z., and H. Hu. 2017. “Improved precast production–scheduling model considering the whole supply chain.” J. Comput. Civ. Eng. 31 (4): 04017013. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000667.
Wang, Z., and H. Hu. 2018. “Dynamic response to demand variability for precast production rescheduling with multiple lines.” Int. J. Prod. Res. 56 (16): 5386–5401. https://doi.org/10.1080/00207543.2017.1414970.
Wong, C. K., I. W. H. Fung, and C. M. Tam. 2010. “Comparison of using mixed-integer programming and genetic algorithms for construction site facility layout planning.” J. Constr. Eng. Manage. 136 (10): 1116–1128. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000214.
World Economic Forum. 2018. Shaping the future of construction: Future scenarios and implications for the industry. Geneva: World Economic Forum.
Xu, Z., R. Kang, and R. Lu. 2020. “3D reconstruction and measurement of surface defects in prefabricated elements using point clouds.” J. Comput. Civ. Eng. 34 (5): 04020033. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000920.
Yang, H., J. K. H. Chung, Y. Chen, Y. Pan, Z. Mei, and X. Sun. 2018. “Ordering strategy analysis of prefabricated component manufacturer in construction supply chain.” Math. Probl. Eng. 2018 (Jan): 1–16. https://doi.org/10.1155/2018/4062871.
Yang, Y., M. Pan, and W. Pan. 2019. “‘Co-evolution through interaction’ of innovative building technologies: The case of modular integrated construction and robotics.” Autom. Constr. 107 (Nov): 102932. https://doi.org/10.1016/j.autcon.2019.102932.
Yang, Y., M. Pan, W. Pan, and Z. Zhang. 2021. “Sources of uncertainties in offsite logistics of modular construction for high-rise building projects.” J. Manage. Eng. 37 (3): 04021011. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000905.
Yin, X., H. Liu, Y. Chen, and M. Al-Hussein. 2019. “Building information modelling for off-site construction: Review and future directions.” Autom. Constr. 101 (May): 72–91. https://doi.org/10.1016/j.autcon.2019.01.010.
Yu, T., Q. Man, Y. Wang, G. Q. Shen, J. Hong, J. Zhang, and J. Zhong. 2019. “Evaluating different stakeholder impacts on the occurrence of quality defects in offsite construction projects: A Bayesian-network-based model.” J. Cleaner Prod. 241 (Dec): 118390. https://doi.org/10.1016/j.jclepro.2019.118390.
Zadeh, L. A. 1975. “Fuzzy logic and approximate reasoning.” Synthese 30 (3): 407–428. https://doi.org/10.1007/BF00485052.
Zhang, H., and L. Yu. 2020. “Dynamic transportation planning for prefabricated component supply chain.” Eng. Constr. Archit. Manage. 27 (9): 2553–2576. https://doi.org/10.1108/ECAM-12-2019-0674.
Zhang, Z., and W. Pan. 2020. “Lift planning and optimization in construction: A thirty-year review.” Autom. Constr. 118 (Oct): 103271. https://doi.org/10.1016/j.autcon.2020.103271.
Zheng, Z., Z. Zhang, and W. Pan. 2020. “Virtual prototyping-and transfer learning-enabled module detection for modular integrated construction.” Autom. Constr. 120 (Dec): 103387. https://doi.org/10.1016/j.autcon.2020.103387.

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Volume 148Issue 9September 2022

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Published online: Jun 17, 2022
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Research Assistant Professor, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong SAR 999077, China. ORCID: https://orcid.org/0000-0002-5134-8205. Email: [email protected]
Yi Yang, Ph.D. [email protected]
Postdoctoral Fellow, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong SAR 999077, China. Email: [email protected]
Zhenjie Zheng [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong SAR 999077, China. Email: [email protected]
Professor, Dept. of Civil Engineering, Univ. of Hong Kong, Pokfulam, Hong Kong SAR 999077, China (corresponding author). ORCID: https://orcid.org/0000-0002-2720-3073. Email: [email protected]

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  • Integration of BIPV technology with modular prefabricated building - A review, Journal of Building Engineering, 10.1016/j.jobe.2025.111940, 102, (111940), (2025).
  • Quality and safety management framework for intelligent construction: Cases study in China, KSCE Journal of Civil Engineering, 10.1016/j.kscej.2024.100068, 29, 4, (100068), (2025).
  • Seismic properties, calculation method, and equivalent model of internal connection in modular steel building, Journal of Building Engineering, 10.1016/j.jobe.2024.111613, 99, (111613), (2025).
  • Analyzing cost impacts across the entire process of prefabricated building components from design to application, Scientific Reports, 10.1038/s41598-025-92786-z, 15, 1, (2025).
  • Cross-industry review of autonomous alignment technologies: Adaptation potential for modular construction, Journal of Cleaner Production, 10.1016/j.jclepro.2025.145101, 495, (145101), (2025).
  • Artificial intelligence in offsite and modular construction research, Automation in Construction, 10.1016/j.autcon.2025.105994, 171, (105994), (2025).
  • A virtual reality-based ergonomic assessment approach for human-robot collaboration workstation design in modular construction manufacturing, Advanced Engineering Informatics, 10.1016/j.aei.2024.103054, 64, (103054), (2025).
  • Prediction of Member Forces of Steel Tubes on the Basis of a Sensor System with the Use of AI, Sensors, 10.3390/s25030919, 25, 3, (919), (2025).
  • Automation in manufacturing and assembly of industrialised construction, Automation in Construction, 10.1016/j.autcon.2024.105945, 170, (105945), (2025).
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