GX & Decarbonization Research

Baoquan Li, Wang Yang, An Shi +5

This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the ca…

Dong Guo, Wei Yet Tan

This study uses structural equation modeling to examine how five sustainable supply chain practices (green procurement, production, logistics, collaboration, and information sharing) affect perceived low-carbon development efficiency in man…

An Thi Binh Duong, Vu Minh Ngo, Hung Nguyen +3

This study investigates how Smart Food Safety Management Systems (SFSMS) can be leveraged as enterprise information systems to achieve carbon neutrality and economic performance in the food industry. Based on a survey of 269 food enterprise…

Junhong Hu, Chen Li, Chenchen Li +2

This study develops a bi-objective route-choice model for multimodal freight transport that minimizes total cost, time, and carbon emission costs under uncertain demand and dynamic transshipment time. Using chance-constrained programming an…

Feiyin Wang, Wen-Kang Sui, Peng-Tao Wang +2

This study proposes a data-driven framework integrating LCA and GAN to optimize sustainable aviation fuel (SAF) supply chains. By generating and evaluating pathways with various feedstocks, refineries, airports, and transport modes, it find…

Grant T.

This paper assesses lifecycle GHG emissions from irrigated maize and explores reduction potentials across the value chain. It offers insights for agricultural emission reduction strategies.

Lambrecht N.J.

This paper demonstrates that limiting red meat availability in a university cafeteria reduced food-related greenhouse gas emissions by about one-third. It provides a practical case study showing how dietary changes can contribute to climate…

Villanova, Marcio

This paper addresses the supplier evidence gap for Brazilian companies under EU regulations (CSDDD, CBAM, EUDR). It argues that market access does not guarantee compliance and introduces a framework for building defensible evidence on origi…

Yuehua Chen, Yunfei Shao

This study models a low-carbon service supply chain with dual information asymmetry: hidden capability before contracting and hidden effort after. Using a principal-agent framework, it shows that menu contracts can screen providers and ince…

Wen Fang, Xiaoyu Wang, Lei Ye +8

This study provides a novel city-level assessment of the coupling coordination between waste and carbon emissions in China. Megalopolises outsource waste and carbon but maintain high coordination. Consumption-based coordination is 20.4-68.8…

Yiming Tong, Deheng Xiao

Using panel data on Chinese A-share listed firms from 2008 to 2024, this study finds that firms' climate risk attention (CRA) significantly promotes value chain upgrading (VCU). The effect operates through embedding into green R&D, green in…

Liwei Qu, Lianghui Li, Bochao An +1

This study develops an enhanced Ant Colony Optimization algorithm to identify optimal supply pathways minimizing transportation carbon emissions in global seaborne metallurgical coal trade. It achieves a 25% reduction in carbon intensity ag…

Turdiev Abdullo Sagdullaevich, S. Aarthi, R. N. Ravikumar +2

This chapter proposes a framework combining economic indicators and AI to decarbonize transport and logistics. Based on case studies, it shows that AI optimization paired with emissions-based pricing and incentives can enhance supply chain …

Jiawen Li, Xiaomin Xu, Shengzhong Huang +1

This paper develops a Stackelberg game model for supply chains with capital-constrained manufacturers facing bankruptcy risk under different carbon asset financing schemes. Using real data from China's cement industry, it finds that pledge …

Ani Mekaniwati, Aang Munawar, B. Rainanto +1

This qualitative study explores how eco-innovation and sustainable supply chain management synergistically enhance circular economy implementation in Indonesian MSMEs. Through focus groups in West Java and Bengkulu, it identifies collaborat…

Thuy-Hien Nguyen, Thuy-Hien Nguyen, Huong-Giang Thi Hoang +3

This paper proposes a data-driven decision support system for sustainable concrete procurement that navigates trade-offs between cost, carbon emissions, and performance using multi-objective optimization. It contributes to decarbonization i…

Mariem Mrad, M. Frikha, Y. Boujelbène +1

This study reviews 83 articles to analyze how AI and robotics can decarbonize supply chains. AI reduces transport emissions via routing optimization and load consolidation; robotics improves energy efficiency in warehousing. Barriers includ…

L. Judijanto

This systematic literature review identifies and classifies five dominant decarbonization pathways in oil palm plantations: methane mitigation, energy-efficiency improvements, biomass-based fuel substitution, landscape-level carbon sequestr…

Alok Yadav, Kusum Lata, R. K. Garg +4

This paper proposes AI-driven approaches for SMEs to achieve net-zero supply chains, using AI for emissions tracking, optimization, and decision support. It provides a theoretical framework for sustainable transformation.

Yu Cao, Tong Shao, Guangyu Wan +1

This paper examines strategic incentives for a platform to share demand information with a manufacturer in an eco-conscious e-tailing supply chain. In a resale model, strong and aligned environmental concerns make information sharing optima…