Analyzing Prefabricated Components Supply Chain Cooperation Patterns with Multiparty Dynamics Using Evolutionary Game Theory
Publication: Journal of Construction Engineering and Management
Volume 150, Issue 12
Abstract
Prefabricated construction has gained traction in sustainable construction practices. As a modular construction method, the prefabricated component (PC) supply chain involves key participants—producer, transporter, and assembler—operating in a point-to-point cooperation pattern (i.e., single project–single producer–single transporter). However, a disparity in resource allocation between the supply and demand sides leads to inefficiencies within the PC supply chain. Thus, this paper introduces the platform service pattern concept combined with evolutionary game theory, constructing a tripartite evolutionary game model to analyze the dynamic evolution mechanism of their behavioral strategies. Extending from a point-to-point cooperation pattern, this paper analyzes a multi-to-multi network structure (i.e., multiple projects–multiple producers–multiple transporters) and utilizes evolutionary game theory to simulate a stakeholder’s strategies. Beyond maximizing the economic profits, we also include sustainable objectives into consideration, and we explore how project and environmental subsidies impact multiparty collaborations and their strategy selections. Specifically, three prefabricated components supply chain cooperation patterns (PCSCCPs) with multiparty dynamics are derived: standardized PC supply chain cooperation pattern (ST-PCSCCP), green and standardized PC supply chain cooperation pattern (GS-PCSCCP), and mixed PC supply chain cooperation pattern (MX-PCSCCP). They are developed and compared by using empirical data for model parameter selections. The results show that all patterns achieved simultaneous production and transportation for multiple project orders and all ensure that construction projects meet sustainability requirements. Additionally, MX-PCSCCP requires the minimum subsidies.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, and code generated or used during the study appear in the published article and Supplemental Materials.
Acknowledgments
This work is supported by The Chinese National Nature Science Foundation Project (Grand No. 72471133).
References
Anvari, B., P. Angeloudis, and W. Y. Ochieng. 2016. “A multi-objective GA-based optimisation for holistic manufacturing, transportation and assembly of precast construction.” Autom. Constr. 71 (Nov): 226–241. https://doi.org/10.1016/j.autcon.2016.08.007.
Chen, G., J. Huang, J. Wang, J. Wei, W. Shou, Z. Cao, W. Pan, and J. Zhou. 2023. “Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost.” Autom. Constr. 147 (Mar): 104726. https://doi.org/10.1016/j.autcon.2022.104726.
Chen, Y., K. Duan, J. Liu, and L. Wang. 2019. “Resource optimal allocation model based on two-layer programming in cloud manufacturing environment.” Comput. Appl. Res. 36 (12): 3713–3717. https://doi.org/10.19734/j.issn.1001-3695.2018.09.0607.
Cheng, B., Y. Wei, W. Zhang, X. Zhou, H. Chen, L. Huang, J. Huang, and X. Kang. 2020. “Evolutionary game simulation on government incentive strategies of prefabricated construction: A system dynamics approach.” Complexity 2020 (1): e8861146. https://doi.org/10.1155/2020/8861146.
Deloitte. 2023. “Global powers of construction.” Accessed March 25, 2024. https://www.deloitte.com/global/en/Industries/energy/perspectives/deloitte-global-powers-of-construction.html.
Du, J., Y. Xue, V. Sugumaran, M. Hu, and P. Dong. 2022. “Improved biogeography-based optimization algorithm for lean production scheduling of prefabricated components.” Eng. Constr. Archit. Manage. 30 (4): 1601–1635. https://doi.org/10.1108/ECAM-04-2021-0311.
Du, J., J. Zhang, D. Castro-Lacouture, and Y. Hu. 2023. “Lean manufacturing applications in prefabricated construction projects.” Autom. Constr. 150 (Jun): 104790. https://doi.org/10.1016/j.autcon.2023.104790.
Fan, K., and E. C. M. Hui. 2020. “Evolutionary game theory analysis for understanding the decision-making mechanisms of governments and developers on green building incentives.” Build. Environ. 179 (Jul): 106972. https://doi.org/10.1016/j.buildenv.2020.106972.
Fang, D., C. Zhao, and Q. Yu. 2018. “Government regulation of renewable energy generation and transmission in China’s electricity market.” Renewable Sustainable Energy Rev. 93 (Oct): 775–793. https://doi.org/10.1016/j.rser.2018.05.039.
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.
Gao, Y., R. Jia, Y. Yao, and J. Xu. 2022. “Evolutionary game theory and the simulation of green building development based on dynamic government subsidies.” Sustainability 14 (12): 7294. https://doi.org/10.3390/su14127294.
Haaskjold, H., B. Andersen, O. Lædre, and W. Aarseth. 2019. “Factors affecting transaction costs and collaboration in projects.” Int. J. Manage. Projects Bus. 13 (1): 197–230. https://doi.org/10.1108/IJMPB-09-2018-0197.
He, Q., Z. Wang, G. Wang, J. Zuo, G. Wu, and B. Liu. 2020. “To be green or not to be: How environmental regulations shape contractor greenwashing behaviors in construction projects.” Sustainable Cities Soc. 63 (Dec): 102462. https://doi.org/10.1016/j.scs.2020.102462.
Hsu, P.-Y., P. Angeloudis, and M. Aurisicchio. 2018. “Optimal logistics planning for modular construction using two-stage stochastic programming.” Autom. Constr. 94 (Oct): 47–61. https://doi.org/10.1016/j.autcon.2018.05.029.
Hu, R., K. Chen, W. Fang, L. Zheng, and J. Xu. 2022. “The technology-environment relationship revisited: Evidence from the impact of prefabrication on reducing construction waste.” J. Cleaner Prod. 341 (Mar): 130883. https://doi.org/10.1016/j.jclepro.2022.130883.
Huang, Q., J. Wang, M. Ye, S. Zhao, and X. Si. 2022. “A study on the incentive policy of China’s prefabricated residential buildings based on evolutionary game theory.” Sustainability 14 (3): 1926. https://doi.org/10.3390/su14031926.
Hyun, H., I. Yoon, H.-S. Lee, M. Park, and J. Lee. 2021. “Multiobjective optimization for modular unit production lines focusing on crew allocation and production performance.” Autom. Constr. 125 (May): 103581. https://doi.org/10.1016/j.autcon.2021.103581.
Innella, F., M. Arashpour, and Y. Bai. 2019. “Lean methodologies and techniques for modular construction: Chronological and critical review.” J. Constr. Eng. Manage. 145 (12): 04019076. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001712.
Jiang, Y., T. Hu, D. Zhao, B. Liu, H. Zhang, Y. Zhang, and Z. Xu. 2022. “Decision model to optimize long-term subsidy strategy for green building promotion.” Sustainable Cities Soc. 86 (Nov): 104126. https://doi.org/10.1016/j.scs.2022.104126.
Kamaruddin, S. S., M. F. Mohammad, and R. Mahbub. 2016. “Barriers and impact of mechanisation and automation in construction to achieve better quality products.” Procedia Social Behav. Sci. 222 (Jun): 111–120. https://doi.org/10.1016/j.sbspro.2016.05.197.
Kern, F., P. Kivimaa, and M. Martiskainen. 2017. “Policy packaging or policy patching? The development of complex energy efficiency policy mixes.” Energy Res. Social Sci. 23 (Jan): 11–25. https://doi.org/10.1016/j.erss.2016.11.002.
Khalili, A., and D. K. Chua. 2014. “Integrated prefabrication configuration and component grouping for resource optimization of precast production.” J. Constr. Eng. Manage. 140 (2): 04013052. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000798.
Kim, T., Y. Kim, and H. Cho. 2020. “Dynamic production scheduling model under due date uncertainty in precast concrete construction.” J. Cleaner Prod. 257 (Jun): 120527. https://doi.org/10.1016/j.jclepro.2020.120527.
Kong, L., H. Li, H. Luo, L. Ding, X. Luo, and M. Skitmore. 2017. “Optimal single-machine batch scheduling for the manufacture, transportation and JIT assembly of precast construction with changeover costs within due dates.” Autom. Constr. 81 (Sep): 34–43. https://doi.org/10.1016/j.autcon.2017.03.016.
Kong, L., H. Li, H. Luo, L. Ding, and X. Zhang. 2018. “Sustainable performance of just-in-time (JIT) management in time-dependent batch delivery scheduling of precast construction.” J. Cleaner Prod. 193 (Aug): 684–701. https://doi.org/10.1016/j.jclepro.2018.05.037.
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.
Lin, Y., C. Guo, and Y. Tan. 2018. “The incentive and coordination strategy of sustainable construction supply chain based on robust optimization.” J. Control Decis. 7 (2): 1–34. https://doi.org/10.1080/23307706.2018.1487808.
Liu, D., L. Xin, J. Chen, and R. Jin. 2020. “Real-time optimization of precast concrete component transportation and storage.” Adv. Civ. Eng. 2020 (1): 5714910. https://doi.org/10.1155/2020/5714910.
Liu, Y., J. Zuo, M. Pan, Q. Ge, R. Chang, X. Feng, Y. Fu, and N. Dong. 2022. “The incentive mechanism and decision-making behavior in the green building supply market: A tripartite evolutionary game analysis.” Build. Environ. 214 (Apr): 108903. https://doi.org/10.1016/j.buildenv.2022.108903.
Liu, Z., Z. Liu, M. Liu, and J. Wang. 2021. “Optimization of flow shop scheduling in precast concrete component production via mixed-integer linear programming.” Adv. Civ. Eng. 2021 (1): 6637248. https://doi.org/10.1155/2021/6637248.
Luo, T., X. Xue, Y. Wang, W. Xue, and Y. Tan. 2021. “A systematic overview of prefabricated construction policies in China.” J. Cleaner Prod. 280 (Jan): 124371. https://doi.org/10.1016/j.jclepro.2020.124371.
Ma, L., and L. Zhang. 2020. “Evolutionary game analysis of construction waste recycling management in China.” Resour. Conserv. Recycl. 161 (Oct): 104863. https://doi.org/10.1016/j.resconrec.2020.104863.
Mei, Z., M. Xu, H. Li, Z. Huang, and S. Luo. 2023. “Cooperation mode for concrete formwork reuse among construction sites.” Sustainable Cities Soc. 95 (Aug): 104584. https://doi.org/10.1016/j.scs.2023.104584.
Mei, Z., M. Xu, S. Luo, Y. Tan, and H. Li. 2022. “Concrete formwork reuse in a supply chain with dynamic changes using ABMS and discrete events.” J. Cleaner Prod. 332 (Jan): 130038. https://doi.org/10.1016/j.jclepro.2021.130038.
Nikulina, A., L. Volker, and M. Bosch-Rekveldt. 2022. “The interplay of formal integrative mechanisms and relational norms in project collaboration.” Int. J. Project Manage. 40 (7): 798–812. https://doi.org/10.1016/j.ijproman.2022.08.006.
Offsite NZ. 2024. “Offsite NZ.” Accessed April 11, 2024. https://www.offsitenz.com/.
Owusu-Manu, D.-G., A. S. Kukah, F. Boateng, G. Asumadu, and D. Edwards. 2021. “Exploring strategies to reduce moral hazard and adverse selection of Ghanaian public–private partnership (PPP) construction projects.” J. Eng. Des. Technol. 19 (2): 358–372. https://doi.org/10.1108/JEDT-05-2020-0195.
Peiris, A., F. K. P. Hui, C. Duffield, and T. Ngo. 2023. “Production scheduling in modular construction: Metaheuristics and future directions.” Autom. Constr. 150 (Jun): 104851. https://doi.org/10.1016/j.autcon.2023.104851.
prefabAUS. 2024. “prefabAUS.” Accessed April 11, 2024. https://www.prefabaus.org.au/.
Ruan, M., and F. Xu. 2022. “Improved eight-process model of precast component production scheduling considering resource constraints.” J. Civ. Eng. Manage. 28 (3): 208–222. https://doi.org/10.3846/jcem.2022.16454.
Smith, J. M. 1980. Evolutionary game theory. Berlin: Springer.
Tan, Y., G. Liu, Y. Zhang, C. Shuai, and G. Q. Shen. 2018. “Green retrofit of aged residential buildings in Hong Kong: A preliminary study.” Build. Environ. 143 (Oct): 89–98. https://doi.org/10.1016/j.buildenv.2018.06.058.
Wang, L., Y. Zhao, and X. Yin. 2023. “Precast production scheduling in off-site construction: Mainstream contents and optimization perspective.” J. Cleaner Prod. 405 (Jun): 137054. https://doi.org/10.1016/j.jclepro.2023.137054.
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., H. Hu, and J. Gong. 2018. “Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components.” Autom. Constr. 86 (Feb): 69–80. https://doi.org/10.1016/j.autcon.2017.10.026.
Wang, Z., Y. Liu, H. Hu, and L. Dai. 2021. “Hybrid rescheduling optimization model under disruptions in precast production considering real-world environment.” J. Constr. Eng. Manage. 147 (4): 04021012. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001976.
Wong, R. W. M., and B. P. Y. Loo. 2022. “Sustainability implications of using precast concrete in construction: An in-depth project-level analysis spanning two decades.” J. Cleaner Prod. 378 (Jan): 134486. https://doi.org/10.1016/j.jclepro.2022.134486.
Wu, Y., G. Jia, and Y. Cheng. 2020. “Cloud manufacturing service composition and optimal selection with sustainability considerations: A multi-objective integer bi-level multi-follower programming approach.” Int. J. Prod. Res. 58 (19): 6024–6042. https://doi.org/10.1080/00207543.2019.1665203.
Xie, L., Y. Chen, and R. Chang. 2021. “Scheduling optimization of prefabricated construction projects by genetic algorithm.” Appl. Sci. 11 (12): 5531. https://doi.org/10.3390/app11125531.
Xue, X., and Z. Ren. 2009. “An agent-based negotiation platform for collaborative decision-making in construction supply chain.” In Vol. 170 of Knowledge processing and decision making in agent-based systems, edited by L. C. Jain and N. T. Nguyen, 123–145. Berlin: Springer.
Ye, C., R. Zhong, X. Chen, and H. Jin. 2023. “Simulation of the strategic evolution process and interactions between stakeholders in water trading and carbon trading.” J. Hydrol. 616 (Jan): 128787. https://doi.org/10.1016/j.jhydrol.2022.128787.
Zeng, L., Q. Du, L. Zhou, X. Wang, H. Zhu, and L. Bai. 2022. “Side-payment contracts for prefabricated construction supply chain coordination under just-in-time purchasing.” J. Cleaner Prod. 379 (Dec): 134830. https://doi.org/10.1016/j.jclepro.2022.134830.
Zhang, R., X. Feng, Z. Mou, and Y. Zhang. 2023. “Green optimization for precast production rescheduling based on disruption management.” J. Cleaner Prod. 420 (Sep): 138406. https://doi.org/10.1016/j.jclepro.2023.138406.
Zhang, S., C. Wang, and C. Yu. 2019. “The evolutionary game analysis and simulation with system dynamics of manufacturer’s emissions abatement behavior under cap-and-trade regulation.” Appl. Math. Comput. 355 (Sep): 343–355. https://doi.org/10.1016/j.amc.2019.02.080.
Zhaopc. 2024. “Zhaopc.” Accessed April 11, 2024. https://www.zhaopc.cn/index.
Zhu, M., J. Dai, R. Liu, J. Xu, and A. Alwisy. 2021. “Two-period based carbon-economy equilibrium strategy for modular construction supply planning.” J. Cleaner Prod. 290 (Mar): 125674. https://doi.org/10.1016/j.jclepro.2020.125674.
Zoraghi, N., A. Shahsavar, B. Abbasi, and V. Van Peteghem. 2017. “Multi-mode resource-constrained project scheduling problem with material ordering under bonus–penalty policies.” Top 25 (1): 49–79. https://doi.org/10.1007/s11750-016-0415-2.
Information & Authors
Information
Published In
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Nov 12, 2023
Accepted: Jun 4, 2024
Published online: Sep 26, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 26, 2025
ASCE Technical Topics:
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.