Research on System Optimization and Decision-Making for Building Industrialization Chain Focused on Carbon and Waste Reduction

Authors

  • Dongxu Sun Henan Polytechnic University, Jiaozuo 454003, China Author

DOI:

https://doi.org/10.63313/AERpc.9059

Keywords:

Construction industrialization, System optimization, Evolutionary game theory, Carbon emission reduction, Construction waste, Regulatory dilemma

Abstract

Aiming at the "dual carbon" goals, this paper treats the industrial chain of building industrialization as a complex system and focuses on the synergistic reduction of carbon and waste. By analyzing the key contradictions within the system, a multi-dimensional indicator system encompassing policy drivers, technical capabilities, and environmental performance is constructed. An evolutionary game model between the government and core enterprises is then established to explore their strategic interaction mechanisms. Simulation results show that under current parameters, the system stabilizes in a "regulatory dilemma" state of "strict government supervision and traditional enterprise practices," revealing that excessively high transformation costs are the key bottleneck suppressing market-driven dynamics. Sensitivity analysis further identifies a priority sequence for breaking the dilemma: the primary task is to significantly reduce transformation costs, followed by establishing synergistic incentives combining subsidies and long-term benefits, while punitive mechanisms primarily serve as a safety net. Based on this, the study proposes a collaborative decision-making system from a system optimization perspective, prioritizing cost reduction, with incentives as the core and supervision as the safeguard, providing theoretical foundations and pathways for advancing the green and low-carbon transformation of the building industrialization industrial chain.

References

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Published

2025-11-24

How to Cite

Research on System Optimization and Decision-Making for Building Industrialization Chain Focused on Carbon and Waste Reduction. (2025). Advances in Engineering Research : Possibilities and Challenges, 2(3), 77-88. https://doi.org/10.63313/AERpc.9059