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 21–40 of 277 papers

Peer-reviewedJournalIntelligent Automation & Soft Computing2022#Supply ChainDOI

Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry

Chia‐Nan Wang, Thi-Ly Nguyen, Thanh‐Tuan Dang

This paper proposes a hybrid FAHP-FTOPSIS model for green supplier selection in Vietnam's steel industry. It evaluates suppliers based on five criteria including environment, using fuzzy numbers to handle uncertainty, and identifies top thr…

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Peer-reviewedJournalInternational Journal of Retail & Distribution Management2023#Supply ChainDOI

Predictable inventory management within dairy supply chain operations

Rosario Huerta-Soto, Edwin Ramirez-Asís, John Tarazona Jiménez +4

This study systematically reviews the application of machine learning (ML) to inventory management in dairy supply chains (DSC), showing that AI/ML methods are increasingly replacing traditional mathematical modeling. It emphasizes cost red…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJournal of Advanced Mechanical Design Systems and Manufacturing2020#Supply ChainDOI

Decision support model for economical material carbon recovery and reduction by connecting supplier and disassembly part selections

Hayate Irie, Tetsuo Yamada

This study proposes a decision support model integrating supplier selection and disassembly part selection to optimize CO2 reduction and cost in global supply chains. Using 3D-CAD and LCI database, a BOM is built, and 0-1 integer programmin…

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Peer-reviewed🌍 GlobalJournalThe International Journal of Life Cycle Assessment2020#Supply ChainDOI

Carbon and water footprint of coffee consumed in Finland—life cycle assessment

Kirsi Usva, Taija Sinkko, Frans Silvenius +2

This LCA assesses the carbon and water scarcity footprints of coffee consumed in Finland, covering the entire life cycle from cultivation to consumption. Primary data from eight farms in Brazil, Nicaragua, Colombia, and Honduras, and Finnis…

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🇨🇳 ChinaJournalIndustrial Management & Data Systems2025#Supply ChainDOI

Guest editorial: Circular supply chain strategy in Industry 4.0 under disruption and ambidexterity: challenges and risks

Ming‐Lang Tseng, Ming K. Lim, Anthony S.F. Chiu +1

This special issue examines challenges and risks of integrating circular supply chain strategy (CSCS) with Industry 4.0 (I4.0). It highlights the potential of CSCS to enhance sustainability and resilience under disruptions and organizationa…

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Peer-reviewed🇪🇺 EuropeJournalCleaner Logistics and Supply Chain2026#Supply ChainDOI

Integrating digital product passports in sustainable logistics: a conceptual framework for AGV and AMR systems

Ali Bozkurt, Dimitri Petrik, Samed Ajdinović +2

This study investigates the integration of Digital Product Passports (DPPs) into AGV/AMR-based intralogistics systems, drawing on 15 expert interviews. It identifies three key challenges: inconsistent standardization, heterogeneous IT secur…

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Journal2026#Supply ChainDOI

From Transparency to Circularity

Shakerod Munuhwa

This chapter examines how big data analytics supports the shift from linear to circular supply chains, focusing on resource efficiency, waste reduction, and life-cycle optimization. It presents case examples from food, apparel, and manufact…

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🌍 GlobalJournalJournal of Operations Management2020#Supply ChainDOI

Innovation in supply networks—A research framework and roadmap

Subodha Kumar, Sriram Narayanan, Fabrizio Salvador

This paper proposes a research framework for innovation in supply networks, highlighting that suppliers' R&D investments often exceed those of focal firms. It discusses how supply chain fragmentation and globalization shift the locus of inn…

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Peer-reviewedJournalManagement Decision2026#Supply ChainDOI

Production competition and carbon emissions reduction cooperation

Zhijie Wang, Hongxia Sun

Under carbon cap-and-trade, this paper uses a biform game to analyze the coexistence of competition and cooperation in carbon emission reduction (CER) among independent remanufacturers (IRs). A technologically advantaged IR performs better …

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Peer-reviewedCNJournalCorporate Social Responsibility and Environmental Management2026#Supply ChainDOI

Corporate Social Responsibility, Eco‐Finance, and Circular Supply Chain Performance: The Role of Green Innovation and Circular Supply Chain Adoption in China's Sports Industry

Hongxing Yang, Di Yang, A. Absamatov

Using PLS-SEM on 376 Chinese sports-goods firms, this study shows CSR and eco-finance promote green innovation, which sequentially drives circular supply chain adoption and performance. The effects are indirect, highlighting the importance …

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Peer-reviewedCNJournalEngineering Construction and Architectural Management2026#Supply ChainDOI

Collaborative emission reduction behavior in the construction supply chain with incentive mechanism: a tripartite evolutionary game analysis

Wen Jiang, Anxu Wang, Min Tao +2

This study constructs a tripartite evolutionary game model of government, suppliers, and manufacturers in the construction supply chain to analyze low-carbon transformation. Findings show that government subsidies have a nonlinear threshold…

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Peer-reviewed🌍 GlobalJournalFrontiers in Sustainability2026#Supply ChainDOI

Multi-objective optimization framework for sustainable olive oil supply chains: integrating environmental compliance with economic performance

Majdi Argoubi, Khaled Mili

This study proposes a multi-objective optimization framework for olive oil supply chains, integrating environmental compliance and economic performance. Using ε-constraint method, it reveals trade-offs and achieves 14.6% CO2 reduction in a …

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