This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 141–153 of 153 papers
M. K K, Sameer Shekhar, S. Khan +1
This study uses the Analytic Hierarchy Process (AHP) to prioritize factors for carbon footprint neutrality in Indian logistics operations. It identifies five main criteria (operational efficiency, resource utilization, infrastructure effici…
M. Arar, Hariwan Z. Ibrahim
This study proposes a decision-making framework based on bipolar complex Pythagorean fuzzy sets (BCPFSs) to handle conflicting criteria, uncertainty, and dual evaluations in sustainable supplier selection. A case study on green supply chain…
Yuzheng Gao, Jing An, Yijie Zhang +1
This study forecasts the scrap and recovery volumes of strategic mineral resources in lithium-ion batteries and charging infrastructure for China's passenger EVs from a life cycle perspective (2010–2050). Six scenarios analyze 20 metallic a…
Peyman Naghipour, Afshin Naghipour, Tarana Bakirova +3
This paper presents a cradle-to-site carbon modeling framework for precast concrete components, integrating machine learning and explainable AI to predict emissions from production, transportation, and installation. Using data from a large …
Rasha M. Abd El-Aziz, Wael Z. El‐sayad, David Neels Ponkumar Devadhas +2
This study proposes a proactive AI framework integrating TG-CVAE, PRL layer, and TG-RDPSO for food waste reclamation, addressing temporal variability and multi-objective optimization. Experiments on the Global Food Wastage Dataset show 10-1…
Hui Zhao, Xueshi Zhang
This study develops and validates an integrated model combining Prospect Theory and VIKOR for green supplier selection in new energy vehicle firms. It constructs a four-dimension evaluation system (enterprise capability, product competitive…
Haoming Ma, Yuanrui Zhu, Wennan Long +6
This paper develops a probabilistic, geospatial, and measurement-informed life cycle assessment model covering over 90% of global LNG trade to estimate GHG emissions intensity (EI) of supply chains. It finds a ~5x range in EI from 8.6 g CO2…
Wei Hu
This review comprehensively evaluates environmental challenges across the critical materials supply chain for new energy vehicles, from mining to end-of-life. It highlights regional heterogeneity and the risk of shifting burdens beyond carb…
Shanta Dutta, Kang Liu, Mengmeng Wang +6
This review examines policy landscapes, regulatory mechanisms, and technological perspectives on recycling critical metals for EVs. It highlights regional disparities in Extended Producer Responsibility (EPR) policies and challenges due to …
Daniel A. Zabaleta, C. Hayes, Jeffrey Grajewski
CanReseal by Canovation is the first all-metal resealable can made from a single aluminum alloy, eliminating the need for separate pull-tab ends. This innovation enables cans to be produced from 100% recycled content, boosting recycling eff…
Liurui Deng, Lingling Jiang, S. Gan
This study analyzes the impact of ESCO financing modes (bank, green bond, internal factoring) on supply chain emission reduction efficiency and economic benefits under carbon quota trading and EPC. Using a multi-agent Stackelberg game model…
Rashanjot Kaur, Triparna Kundu, Bhanu Sharma +2
This paper examines operational resilience of global supply chains under carbon constraints. It develops a multi-agent framework integrating supply chain decisions, national energy-transition profiles, and carbon-aware AI computation. The C…
Tianhui Sun, Na Huang, Wanjun Jiang
This study models a closed-loop electronics supply chain under carbon trading, incorporating a 'unit health damage cost' to examine the dual effects of internalizing health costs. It finds an inverted U-shaped relationship between carbon pr…
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