GX & Decarbonization Research

Satyadev Rosunee, Roshan Unmar

This chapter discusses opportunities and hurdles of adopting AI and digital technologies in supply chain management for export-oriented manufacturing in Mauritius. It highlights how AI can enhance resilience, reduce greenhouse gas emissions…

Xiqiang Xia, J. G. Chen, Kannan Govindan

This study uses game-theoretic models to analyze how different carbon quota allocation methods (grandfathering vs. benchmarking) affect OEMs' outsourcing remanufacturing decisions and remanufacturers' operations. Grandfathering promotes rem…

Thomas Buchholz, John Gunn, Benktesh D. Sharma

This study conducts a life cycle assessment of wood pellets from southern US pine plantations for UK electricity, incorporating thinning-induced forest carbon stock changes. It finds GHG emission parity exceeds 40 years, even with high sawm…

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…

Brian Lipinski

This article discusses the importance of animal-based food loss and waste. Although small in volume, its environmental impact is significant, contributing to 8% of global GHG emissions. Companies are urged to measure and reduce losses acros…

Bina Ahmed

This paper discusses the need and methods for reducing carbon emissions in cardiac catheterization laboratories in the US. Healthcare accounts for 4.4% of global GHG emissions, with supply chains contributing 80%. It proposes measuring and …

Yasaswini Iyer, Skanda Moorthy, Sadeer Al‐Kindi +1

This article argues that healthcare organizations (HCOs) should lead climate action, as the sector contributes 4.4% of global CO2 emissions, with 71% from Scope 3. It recommends reducing Scope 1 emissions from operating rooms and anesthetic…

Hui Wang

This study proposes a low-carbon site selection decision model and algorithm for green logistics, aiming to minimize carbon emissions while optimizing distribution networks. Integrating geographic, environmental, and operational data, the m…

Thomas Williams, Cara Wilson, Peter Wynn +1

This paper reviews the potential of precision livestock management (PLM) technologies in extensive livestock systems to adapt to climate change and reduce GHG emissions. Technologies like GPS, walk-over-weigh, and satellite imagery can impr…

Xinyue Hao, Emrah Demir

This study identifies triggers and inhibitors of AI adoption in supply chains using a PRISMA systematic review and thematic analysis under the ESG framework. Environmental triggers include waste and GHG reduction; social triggers include pr…

Clara Lenk, Rosalie Arendt, Vanessa Bach +1

This study applies and compares territorial-based and consumption-based carbon footprint methods for the Berlin-Wedding district. Results were nearly identical (about 400,000 t CO2-eq), not supporting the hypothesis that consumption-based f…

Himasai Kiran Reddy Durgam, Prasanna Venkatesan Ramani

This review analyzes the integration of circular economy principles in construction supply chains using a combined bibliometric and grounded theory approach. It identifies key challenges such as fragmentation, waste, and carbon emissions, a…

Afia Saiara Akhi, Mustakim Jahan, Shamima Shammay +1

This systematic review synthesizes recent research on AI-driven optimization for sustainable project and supply chain management, covering predictive analytics, machine learning, digital twins, and multi-objective optimization. It identifie…

Aurel Stenzel, Israel Waichman

This paper discusses the importance of primary data sharing along supply chains for accurate Scope 3 emissions calculation. Current estimates rely on industry averages, which are imprecise. It identifies three main obstacles: legal/regulato…

Simon Glöser‐Chahoud, Matthias Pfaff, Frank Schultmann

This paper quantitatively assesses the relationship between product lifetime and GHG emissions for refrigerators and mobile phones. Using dynamic material flow analysis (MFA) linked with life cycle inventory (LCI) data, it simulates scenari…

Kaewunruen, Sakdirat, Qin, Xia, Cvetkovska, Meri +4

This study analyzes technical barriers to circular economy adoption in the building sector via a multi-region survey (n=270) and literature review. It identifies interoperability of tools/data, documentation/traceability, and capability gap…

Qinpeng Wang, Guotao Wu, longfei he

This study uses differential games to analyze big data service (BDS) investment strategies in a dual-channel low-carbon supply chain, considering consumer reference effects on emission reduction levels. It finds that joint BDS investment be…

Aaron Taylor, Stephanie Au, Barbora Krivankova +2

This study quantifies the carbon footprint of laparoscopic right hemicolectomy (LRH) in a single hospital, analyzing four cases. Mean emissions were 22.81 kgCO2e per case, with single-use consumables manufacturing contributing 54%. It highl…

Alessandro Flammini, Hanif Adzmir, Kevin Karl +1

This paper estimates GHG emissions from non-renewable wood fuel harvesting for household cooking, by country and globally. In 2019, annual emissions were about 745 Mt CO2 eq, with uncertainty from -63% to +64%. Increases in sub-Saharan Afri…

Ivan Bergier, Édson Luís Bolfe, Débora Pignatari Drucker +8

This paper analyzes challenges and opportunities for building a sustainable, secure, and transparent data-sharing environment for ESG reporting in agriculture and livestock. Using a systematic literature review and semantic network, it iden…