Case Studies
Jul 3, 2024

Cost Assessment Framework for Construction Robots: Comparative Study of Robotic and Traditional Construction

Publication: Journal of Management in Engineering
Volume 40, Issue 5

Abstract

Construction robots are expected to address the challenges of the skilled labor shortage and low productivity in the construction industry. However, the development of construction robots is still in its early stages due to the lack of data on their economic performance, uncertainty in costs, and lack of experience and confidence among companies. This study establishes a cost assessment framework for construction robots. Taking the construction market in China as an example, this study compares and analyzes the construction costs of robotic and traditional construction methods from two groups of cases. Results showed that the current cost of robotic construction does not have an advantage over traditional construction. All construction robots that cost less than traditional methods are more than 2.9 times more efficient than human workers. The use of certain construction robots can reduce the number and skill requirements of construction workers. The construction cost of robot groups under a rational arrangement is lower than that of traditional construction. Further research indicated that the high purchase cost and uncertainty of the life-cycle cost are the main barriers to the application of construction robots. In light of the economic, social, and environmental benefits that construction robots can bring in the future, the current high investment is justified. In conclusion, the cost assessment framework proposed in this study provides construction companies with a systematic approach to selecting construction methods. The cost analysis of the actual construction case serves as a basis for construction companies to utilize construction robots.

Practical Applications

The results of this case study suggest that the current cost of robotic construction does not have an advantage over traditional construction. Among the four types of construction robots, those for surveying and marking performed the best in terms of construction cost and those for building decoration performed the worst. All types of construction robots are statistically more efficient than traditional construction methods for the same task, and the high efficiency of construction robots can greatly reduce their construction costs. The use of certain construction robots can reduce the number and skill requirements of construction workers, which in turn reduces labor costs. Rationally arranging robot groups for construction can strengthen the linkage between construction sequences, which in turn increases the utilization of construction robots and accelerates the construction schedule. The results can advise construction contractors on the choice of appropriate construction methods and make recommendations to construction robot manufacturers, construction contractors, and governments for the development and application of construction robots.

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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

This work was supported by the Chongqing Natural Science Fund Project (Grant Number CSTB2022NSCQ-MSX1622).

References

ABB (Asea Brown Boveri). 2021. “ABB robotics 2021 construction survey.” Accessed July 2021. https://express.adobe.com/page/5QaTFLrupXbYh/.
Barravecchia, F., L. Mastrogiacomo, and F. Franceschini. 2023. “A general cost model to assess the implementation of collaborative robots in assembly processes.” Int. J. Adv. Manuf. Technol. 125 (11): 5247–5266. https://doi.org/10.1007/s00170-023-10942-z.
Batikha, M., R. Jotangia, M. Y. Baaj, and I. Mousleh. 2022. “3D concrete printing for sustainable and economical construction: A comparative study.” Autom. Constr. 134 (Feb): 104087. https://doi.org/10.1016/j.autcon.2021.104087.
Berlak, J., S. Hafner, and V. G. Kuppelwieser. 2021. “Digitalization’s impacts on productivity: A model-based approach and evaluation in Germany’s building construction industry.” Prod. Plann. Control. 32 (4): 335–345. https://doi.org/10.1080/09537287.2020.1740815.
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.
Bock, T., and T. Linner. 2015. Robotic industrialization. Cambridge, UK: Cambridge University Press.
Bock, T., and T. Linner. 2016. Elementary technologies and single-task construction robots. In Vol. 3 of Construction robots. Cambridge, UK: Cambridge University Press.
Brehm, E. 2019. “Robots for masonry construction—Status quo and thoughts for the German market.” Mauerwerk 23 (2): 87–94. https://doi.org/10.1002/dama.201900004.
Brosque, C., and M. Fischer. 2022a. “A robot evaluation framework comparing on-site robots with traditional construction methods.” Constr. Rob. 6 (2): 187–206. https://doi.org/10.1007/s41693-022-00073-4.
Brosque, C., and M. Fischer. 2022b. “Safety, quality, schedule, and cost impacts of ten construction robots.” Constr. Rob. 6 (2): 163–186. https://doi.org/10.1007/s41693-022-00072-5.
Brosque, C., G. Skeie, and M. Fischer. 2021. “Comparative analysis of manual and robotic concrete drilling for installation hangers.” J. Constr. Eng. Manage. 147 (3): 16. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002002.
Brosque, C., G. Skeie, J. Örn, J. Jacobson, T. Lau, M. Fischer, and IEEE. 2020. “Comparison of construction robots and traditional methods for drilling, drywall, and layout tasks.” In Proc., 2nd Int. Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 346–359. New York: IEEE.
Buerkle, A., W. Eaton, A. Al-Yacoub, M. Zimmer, P. Kinnell, M. Henshaw, M. Coombes, W. H. Chen, and N. Lohse. 2023. “Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models.” Robot. Comput.-Integr. Manuf. 81 (Jun): 102484. https://doi.org/10.1016/j.rcim.2022.102484.
Castro-Lacouture, D. 2009. Construction automation: Handbook of automation, 1063–1078. Berlin: Springer.
Cousineau, L., and N. Miura. 1998. Construction robots: The search for new building technology in Japan. Reston, VA: ASCE.
da Silva, N. P., S. Eloy, and R. Resende. 2022. “Robotic construction analysis: Simulation with virtual reality.” Heliyon 8 (10): 13. https://doi.org/10.1016/j.heliyon.2022.e11039.
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): 11. https://doi.org/10.1016/j.jobe.2019.100868.
de Soto, B. G., I. Agustí-Juan, J. Hunhevicz, S. Joss, K. Graser, G. Habert, and B. T. Adey. 2018. “Productivity of digital fabrication in construction: Cost and time analysis of a robotically built wall.” Autom. Constr. 92 (Aug): 297–311. https://doi.org/10.1016/j.autcon.2018.04.004.
Diao, Y. 2014. “Study on growth trend and comprehensive assessment of labor cost for Chinese construction industry.” Ph.D. thesis, Dept. of Engineering, Chongqing Univ.
Everett, J. G. 1991. Construction automation: Basic task selection and development of the CRANIUM. Cambridge, MA: Massachusetts Institute of Technology.
Ferrin, B. G., and R. E. Plank. 2002. “Total cost of ownership models: An exploratory study.” J. Supply Chain Manage. 38 (2): 18–29.
Foster, R. J. I. 1986. Innovation—The attacker’s advantage. New York: Fireside.
Haenlein, M., and A. Kaplan. 2019. “A brief history of artificial intelligence: On the past, present, and future of artificial intelligence.” Calif. Manage. Rev. 61 (4): 5–14. https://doi.org/10.1177/0008125619864925.
Hu, R. B., K. Iturralde, T. Linner, C. Zhao, W. Pan, A. Pracucci, and T. Bock. 2021. “A simple framework for the cost-benefit analysis of single-task construction robots based on a case study of a cable-driven facade installation robot.” Build. Basel. 11 (1): 17. https://doi.org/10.3390/buildings11010008.
Huang, Z., C. Mao, J. Wang, and A. M. Sadick. 2022. “Understanding the key takeaway of construction robots towards construction automation.” Eng. Constr. Archit. Manage. 29 (9): 3664–3688. https://doi.org/10.1108/ECAM-03-2021-0267.
IFR (International Federation of Robotics). 2020. “World robotics 2020.” Accessed September 2020. https://ifr.org/img/office/World_Robotics_2020_Sales_Flyer.pdf.
IFR (International Federation of Robotics). 2021. “Executive summary world robotics 2021—Service robots.” Accessed July 2022. https://ifr.org/img/worldrobotics/Executive_Summary_WR_Service_Robots_2021.pdf.
Kim, T., U. K. Lee, W. S. Yoo, S. H. An, H. Cho, Y. Lee, N. Doh, and IEEE. 2010. “Benefit/cost analysis of a robot-based construction automation system.” In Proc., Int. Conf. on Control, Automation and Systems (ICCAS 2010), 616–621. New York: IEEE.
Kim, Y., H. Kim, R. Murphy, S. Lee, and C. R. Ahn. 2022. “Delegation or collaboration: Understanding different construction stakeholders’ perceptions of robotization.” J. Manage. Eng. 38 (1): 04021084. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000994.
Ku, Y. D., J. H. Yang, H. Y. Fang, W. Xiao, and J. T. Zhuang. 2021. “Deep learning of grasping detection for a robot used in sorting construction and demolition waste.” J. Mater. Cycles Waste Manage. 23 (1): 84–95. https://doi.org/10.1007/s10163-020-01098-z.
Kumar, V. P., M. Balasubramanian, and S. J. Raj. 2016. “Robotics in construction industry.” Ind. J. Sci. Technol. 9 (23): 1–12.
Kumar, V. S., I. Prasanthi, and A. Leena. 2012. Robotics and automation in construction industry. Chennai, India: Indian Society for Education and Environment.
Laborde, M., and V. Sanvido. 1994. “Introducing new process technologies into construction companies.” J. Constr. Eng. Manage. 120 (3): 488–508. https://doi.org/10.1061/(ASCE)0733-9364(1994)120:3(488).
Landscheidt, S., and M. Kans. 2016. “Method for assessing the total cost of ownership of industrial robots.” In Proc., 49th CIRP Conf. on Manufacturing Systems (CIRP-CMS), 746–751. Amsterdam, Netherlands: Elsevier.
Law, K. K., S. Chang, and M.-F. F. Siu. 2022. “Factors influencing adoption of construction robotics in Hong Kong’s industry: A multistakeholder perspective.” J. Manage. Eng. 38 (2): 14. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001011.
Lee, U., Y. W. Sung, S. An, N. Doh, H. Cho, C. Jun, T. Kim, and Y. H. Lee. 2013. “Performance assessment model for robot-based automated construction systems.” J. Korea Inst. Build. Constr. 13 (4): 416–423. https://doi.org/10.5345/JKIBC.2013.13.4.416.
Lekan, A., C. Aigbavboa, O. Babatunde, F. Olabosipo, and A. Christiana. 2022. “Disruptive technological innovations in construction field and fourth industrial revolution intervention in the achievement of the sustainable development goal.” Int. J. Constr. Manage. 22 (14): 2647–2658. https://doi.org/10.1080/15623599.2020.1819522.
Leng, Y., X. Y. Shi, F. Hiroatsu, A. Kalachev, and D. Wan. 2023. “Automated construction for human-robot interaction in wooden buildings: Integrated robotic construction and digital design of iSMART wooden arches.” J. Field Robot. 40 (4): 810–827. https://doi.org/10.1002/rob.22154.
Liang, C.-J., X. Wang, V. R. Kamat, and C. C. Menassa. 2021. “Human–robot collaboration in construction: Classification and research trends.” J. Constr. Eng. Manage. 147 (10): 23. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002154.
Linner, T., and T. Bock. 2012. “Evolution of large-scale industrialisation and service innovation in Japanese prefabrication industry.” Constr. Innovation 12 (2): 156–178.
Ma, X. Y., C. Mao, and G. W. Liu. 2022. “Can robots replace human beings?–Assessment on the developmental potential of construction robot.” J. Build. Eng. 56 (Sep): 18. https://doi.org/10.1016/j.jobe.2022.104727.
Mahbub, R. 2008. “An investigation into the barriers to the implementation of automation and robotics technologies in the construction industry.” Ph.D. thesis, Dept. of Civil Engineering, Queensland Univ. of Technology.
Melenbrink, N., J. Werfel, and A. Menges. 2020. “On-site autonomous construction robots: Towards unsupervised building.” Autom. Constr. 119 (Nov): 103312. https://doi.org/10.1016/j.autcon.2020.103312.
Moselhi, O., and S. Hason. 1989. “Robotics in construction—Implementation and economic-evaluation.” Can. J. Civ. Eng. 16 (5): 678–683. https://doi.org/10.1139/l89-101.
National Bureau of statistics of the People’s Republic of China. 2023. “Monitoring survey report on migrant workers in 2022.” Accessed April 2023. http://www.stats.gov.cn/sj/zxfb/202304/t20230427_1939124.html.
Oke, A. E., A. F. Kineber, I. Albukhari, and A. J. Dada. 2021. “Modeling the robotics implementation barriers for construction projects in developing countries.” Int. J. Build. Pathol. Adapt. 42 (3): 24. https://doi.org/10.1108/ijbpa-06-2021-0093.
Pan, M., T. Linner, W. Pan, H. M. Cheng, and T. Bock. 2018. “A framework of indicators for assessing construction automation and robotics in the sustainability context.” J. Cleaner Prod. 182 (May): 82–95. https://doi.org/10.1016/j.jclepro.2018.02.053.
Pan, M., T. Linner, W. Pan, H. M. Cheng, and T. Bock. 2020. “Influencing factors of the future utilisation of construction robots for buildings: A Hong Kong perspective.” J. Build. Eng. 30 (Jul): 13. https://doi.org/10.1016/j.jobe.2020.101220.
Pan, M., and W. Pan. 2020. “Stakeholder perceptions of the future application of construction robots for buildings in a dialectical system framework.” J. Manage. Eng. 36 (6): 13. https://doi.org/10.1061/(asce)me.1943-5479.0000846.
Park, S., H. Yu, C. C. Menassa, and V. R. Kamat. 2023. “A comprehensive evaluation of factors influencing acceptance of robotic assistants in field construction work.” J. Manage. Eng. 39 (3): 04023010. https://doi.org/10.1061/JMENEA.MEENG-5227.
Qiao, H., S. L. Zhong, Z. Y. Chen, and H. Z. Wang. 2022. “Improving performance of robots using human-inspired approaches: A survey.” Sci. China-Inf. Sci. 65 (12): 31. https://doi.org/10.1007/s11432-022-3606-1.
Ryan, W. 1968. “Procurement views of life cycle costing.” In Proc., Annual Symp. on Reliability, 164–168. New York: IEEE.
Saidi, K. S., T. Bock, and C. Georgoulas. 2016. “Robotics in construction.” In Springer handbook of robotics, edited by B. O. SicilianoKhatib and O. Khatib, 1493–1520. Berlin: Springer.
Seif, J., and M. Rabbani. 2014. “Component based life cycle costing in replacement decisions.” J. Qual. Maint. Eng. 20 (4): 436–452. https://doi.org/10.1108/JQME-08-2013-0053.
Skibniewski, M., and C. Hendrickson. 1988. “Analysis of robotic surface finishing work on construction site.” J. Constr. Eng. Manage. 114 (1): 53–68. https://doi.org/10.1061/(ASCE)0733-9364(1988)114:1(53).
Skibniewski, M. J. 1988. “Framework for decision-making on implementing robotics in construction.” J. Comput. Civ. Eng. 2 (2): 188–201.
Slaughter, E. S. 1997. “Characteristics of existing construction automation and robotics technologies.” Autom. Constr. 6 (2): 109–120.
Tang, X., M. Wang, Q. Wang, J. Guo, and J. Zhang. 2022. “Benefits of terrestrial laser scanning for construction QA/QC: A time and cost analysis.” J. Manage. Eng. 38 (2): 15. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001012.
Tractica. 2019. “Construction demolition robots.” Accessed April 2019. https://omdia.tech.informa.com/OM011961/Construction-Demolition-Robots.
Wang, G., K. Xu, and D. Cao. 2021. “Scenario prediction and corresponding measures of labor demand in China’s construction industry for 2035.” J. Civ. Eng. Manage. 38 (4): 15–22. https://doi.org/10.13579/j.cnki.2095-0985.2021.04.003.
Wang, J. Y., H. P. Yuan, X. P. Kang, and W. S. Lu. 2010. “Critical success factors for on-site sorting of construction waste: A China study.” Resour. Conserv. Recycl. 54 (11): 931–936. https://doi.org/10.1016/j.resconrec.2010.01.012.
Wang, Z. L., H. Li, and X. L. Zhang. 2019. “Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach.” Autom. Constr. 97 (Jan): 220–228. https://doi.org/10.1016/j.autcon.2018.11.009.
Warszawski, A. 1984. “Application of robotics to building construction.” In Proc., 1st Int. Symp. on Automation and Robotics in Construction (ISARC). London: International Association for Automation and Robotics in Construction.
Warszawski, A. 1985. “Economic-implications of robotics in building.” Build. Environ. 20 (2): 73–81. https://doi.org/10.1016/0360-1323(85)90001-0.
Warszawski, A., and Y. Rosenfeld. 1994. “Robot for interior-finishing works in building: Feasibility analysis.” J. Constr. Eng. Manage. 120 (1): 132–151. https://doi.org/10.1061/(ASCE)0733-9364(1994)120:1(132).
Xiao, W., R. Zhuang, and W. Tang. 2023. “Construction research of plastering robots.” [In Chinese.] Constr. Technol. 52 (11): 22–26.
Yang, G. Z. 2017. “Digital architecture and robotic construction.” Sci. Robot. 2 (5): 2. https://doi.org/10.1126/scirobotics.aan3673.
Yeom, D. J., J. H. Kim, J. S. Kim, and Y. S. Kim. 2022. “Life cycle cost analysis of a built-in guide-type robot for cleaning the facade of high-rise buildings.” J. Asian Archit. Build. Eng. 21 (5): 1736–1753. https://doi.org/10.1080/13467581.2022.2060984.
Zhao, P., C. Jin, and X. Guo. 2021a. “Application of automatic measuring robot in construction engineering.” [In Chinese.] Constr. Technol. 50 (20): 118–121.
Zhao, X. Y., C. S. Wu, and D. Y. Liu. 2021b. “Comparative analysis of the life-cycle cost of robot substitution: A case of automobile welding production in China.” Symmetry 13 (2): 27. https://doi.org/10.3390/sym13020226.

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Journal of Management in Engineering
Volume 40Issue 5September 2024

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Received: Dec 28, 2023
Accepted: Apr 4, 2024
Published online: Jul 3, 2024
Published in print: Sep 1, 2024
Discussion open until: Dec 3, 2024

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Graduate Student, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, PR China. Email: [email protected]
Professor, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, PR China (corresponding author). Email: [email protected]
Tingpeng Wang [email protected]
Ph.D. Candidate, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, PR China. Email: [email protected]
Graduate Student, School of Management Science and Real Estate, Chongqing Univ., Chongqing 400045, PR China. ORCID: https://orcid.org/0009-0001-8561-6327. Email: [email protected]

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