Supplementary data for multi-objective decision support for cost–carbon–process-hour trade-offs in prefabricated cold-formed steel residential framing
コールドフォーム鋼製住宅フレームのプレハブにおけるコスト・炭素・工程時間のトレードオフに対する多目的意思決定支援の補足データ (AI 翻訳)
Kevin Ramani, J H Lim, Kris Roy, Arthur Fang, Humaira Hameed, Shanika Raigamage
🤖 gxceed AI 要約
日本語
本論文は、コールドフォーム鋼製住宅フレームのプレハブ施工におけるコスト、炭素排出、工程時間のトレードオフを評価する多目的最適化モデルの補足データを提供する。ニュージーランドの事例研究に基づき、応答モデルや感度分析、パレート解などを含む。建設現場での意思決定を支援し、炭素削減とコスト効率の両立を目指す。
English
This paper provides supplementary data for a multi-objective optimization model that trades off cost, carbon emissions, and process hours in prefabricated cold-formed steel residential framing. Based on a New Zealand case study, it includes response models, sensitivity analyses, and Pareto solutions. The work supports decision-making for sustainable construction by balancing carbon reduction and cost efficiency.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではプレハブ住宅が一般的であり、本論文の多目的最適化手法はコストと炭素排出のバランスを評価するのに役立つ。SSBJやその他の開示基準への対応が求められる中、建設段階の炭素削減に貢献する可能性がある。
In the global GX context
This paper provides a detailed case study of multi-objective optimization in construction, relevant for global efforts to reduce embodied carbon in buildings. The methodology can be adapted to other contexts and building types, supporting decarbonization in the construction sector.
👥 読者別の含意
🔬研究者:The multi-objective optimization approach and supplementary data provide a valuable method for balancing cost and carbon in construction.
🏢実務担当者:Construction firms can use this decision support framework to evaluate trade-offs between cost, carbon emissions, and construction time.
🏛政策担当者:This case study demonstrates how to integrate carbon reduction into construction decision-making, which can inform building regulations.
📄 Abstract（原文）
This Zenodo record contains supplementary material and processed data supporting the manuscript titled “Multi-objective decision support for cost–carbon–process-hour trade-offs in prefabricated cold-formed steel residential framing: A single-case study from New Zealand”. The archive includes the response-model formulation, coefficient audit, uncertainty-range rationale, optimisation settings, convergence diagnostics, grid-reference comparison, OC-fixed diagnostic, sensitivity outputs, processed case-study inputs, final nondominated archive, representative Pareto solutions, Monte Carlo robustness outputs, TOPSIS ranking outputs and dashboard export fields. The interactive dashboard is provided as a visualisation and shortlisting interface for the released processed outputs. The full Python analysis code is not publicly released because it contains project-specific data-processing, calibration and internal workflow scripts associated with the case-study framing package. Project-identifying and commercially sensitive information has been removed where required.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21090109first seen 2026-07-03 04:59:15
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