動的なエネルギー・炭素シグナル下でのプレハブ部材生産・配送の炭素管理意思決定支援

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a novel tri-objective optimization approach for integrated production-delivery carbon management, with algorithmic improvements (BCEA-QL) and trade-off analysis.

🏢実務担当者:Offers a practical scheduling framework to reduce energy and fuel costs while managing carbon trading, applicable to precast concrete and similar manufacturing supply chains.

🏛政策担当者:Demonstrates how carbon pricing and grid signals can be integrated into operational decisions, informing policy design for industrial decarbonization.

Introduction Operational decarbonization in prefabricated construction requires decision support that links factory production, transport logistics, energy prices, grid carbon intensity, and carbon-trading rules. This study develops an environmental systems engineering framework for carbon-management decision support in prefabricated component production and delivery. Methods The framework represents the supply chain as a coupled production–transport system in which steam-curing intensity, time-of-use electricity pricing, time-varying grid carbon factors, diesel transportation emissions, and stepped carbon trading jointly shape operational choices. A tri-objective model is formulated to minimize project completion time, energy and fuel costs, and net carbon-trading costs. The model is solved using the Bi-layer Cooperative Evolutionary Algorithm with Q-Learning (BCEA-QL), which jointly searches production and delivery decisions. Results Computational tests on nine synthetic test instances, including a recent reinforcement-learning-assisted baseline, show that BCEA-QL achieves the highest HV on all nine instances, with up to 6.88% higher hypervolume on large-scale instances. A 25-group metropolitan metro precast case further shows that, relative to a time-oriented schedule, a carbon-oriented schedule reduces energy and fuel costs by approximately 23% and yields only a small carbon-trading credit. A post-processing delay-cost analysis identifies manager-dependent switching thresholds near 57 and 212 CNY/h. Discussion The results indicate that coordinated production and delivery scheduling can help environmental managers interpret operational carbon-management trade-offs under asynchronous price–carbon signals, without implying universal carbon reduction or full field validation.

• openalex https://doi.org/10.3389/fenvs.2026.1897986first seen 2026-08-23 04:50:13
• semanticscholar https://doi.org/10.3389/fenvs.2026.1897986first seen 2026-08-27 05:23:53 · last seen 2026-09-21 04:57:14