GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Supply Chain (clear)

Showing 261–280 of 283 papers

Peer-reviewedJournalINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT2026#Supply ChainDOI

Sustainable Supply Chain Management and Green Logistics Practices in the Automobile Industry: A Study of Sonalika Tractors

V. Jha, Sayanth K, Arun Prasher +2

This case study examines sustainable supply chain management (SSCM) and green logistics at International Tractors Limited (Sonalika), an Indian tractor manufacturer. It identifies strengths like vertical integration and low-VOC painting, wh…

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Peer-reviewed🇪🇺 EuropeJournalEnvironments2026#Supply ChainDOI

Decarbonization Strategies in the Wine Supply Chain: From Environmental Mitigation Towards Integrated Sustainability Management

Christian Bux, M. Lombardi, Roberto Leonardo Rana +1

This systematic literature review maps decarbonization strategies across the wine supply chain, identifying packaging and logistics as key emission hotspots. It highlights mitigation through soil carbon sequestration, renewable energy, and …

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Peer-reviewedJournalSustainability2026#Supply ChainDOI

Toward Sustainable Supply Chains in Metal Additive Manufacturing: An Energy-Based Limited-Scope Global Warming Potential (GWP) Life Cycle Assessment of Oxygen-Free High Conductivity Copper Powder Production

Michael Sherwin, John Barnes, Eric Rhodes

This study presents a limited-scope life cycle assessment comparing two powder production routes for oxygen-free high conductivity copper in additive manufacturing. Using Monte Carlo simulation, it found that the DirectPowderTM system reduc…

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Peer-reviewedJournalMathematics2026#Supply ChainDOI

Blockchain Technology for Green Supply Chain Management in the Maritime Industry: Integrating Extended Grey Relational Analysis, SWARA, and ARAS Methods Under Z-Information

Amir Karbassi Yazdi, Yong Tan, Mohammad Amin Khoobbakht +2

This study identifies barriers to blockchain adoption for green supply chain management in the maritime industry and proposes a multi-criteria decision-making framework to evaluate the suitability of maritime routes. Using a Delphi process,…

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Peer-reviewed🌍 GlobalJournalTechnological and Economic Development of Economy2026#Supply ChainDOI

Driving net-zero and resilient supply chains through industry 5.0: a strategic pathway for sustainable economic development

Akshay Patidar, S. Bhatnagar, Anil Kumar +3

This study analyzes Industry 5.0 (I5.0) practices enabling net-zero and resilient supply chains using a three-phase framework: literature review, Interpretive Structural Modeling (ISM), and DEMATEL. Key practices include ESG compliance, Lif…

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Peer-reviewedJournalFrontiers of Physics2026#Supply ChainDOI

The signal strategy in low-carbon supply chains

Shanshan Xie, Jiamuyan Xie

This paper analyzes signaling strategies in low-carbon supply chains under demand information asymmetry using a dynamic game model. It finds that manufacturers must distort output and carbon reduction downward to signal low demand, and that…

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Peer-reviewedJournalBuilding Engineering2026#Supply ChainDOI

Decarbonizing precast concrete building components: Cradle-to-site carbon modeling and optimization, explainable machine learning, and a transportation efficiency index

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 …

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Peer-reviewed🌍 GlobalJournalFrontiers in Sustainable Food Systems2026#Supply ChainDOI

Generative AI-enabled adaptive material reintegration framework for proactive circular economy waste reclamation in food industrial ecosystems

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…

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Peer-reviewed🌍 GlobalJournalJournal of Environmental Management2026#Supply ChainDOI

Enabling recycling of critical metals for electric vehicles.

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 …

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🇺🇸 USAConferenceProceedings of the 2026 REMADE® Circular Economy Technology Summit & Conference2026#Supply ChainDOI

Single-Alloy Resealable Beverage Can

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…

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